From 0658c3ff2bf3a05934d1fba60842bb777e6c9a6e Mon Sep 17 00:00:00 2001
From: Prateek Gaur <prateek.gaur@snowflake.com>
Date: Sat, 7 Mar 2026 17:01:51 +0000
Subject: [PATCH 01/24] ALP: Add AlpConstants with encoding tables and format
 constants

Add the foundational constants class for ALP encoding:
- 7-byte page header matching C++ AlpHeader wire format
- Float/double power-of-ten lookup tables
- Sampler constants (vector sizes, combination limits)
- Encoding limits and magic numbers for fast rounding
- Per-vector metadata sizes (AlpInfo, ForInfo)
- integerPow10() helper and validateVectorSize()
---
 .../column/values/alp/AlpConstants.java       | 137 ++++++++++++++++++
 .../column/values/alp/AlpConstantsTest.java   | 103 +++++++++++++
 2 files changed, 240 insertions(+)
 create mode 100644 parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpConstants.java
 create mode 100644 parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpConstantsTest.java

diff --git a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpConstants.java b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpConstants.java
new file mode 100644
index 0000000000..6e14518aa0
--- /dev/null
+++ b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpConstants.java
@@ -0,0 +1,137 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+package org.apache.parquet.column.values.alp;
+
+import org.apache.parquet.Preconditions;
+
+/**
+ * Constants for the ALP (Adaptive Lossless floating-Point) encoding.
+ *
+ * <p>ALP encoding converts floating-point values to integers using decimal scaling,
+ * then applies Frame of Reference encoding and bit-packing.
+ * Values that cannot be losslessly converted are stored as exceptions.
+ *
+ * <p>Based on the paper: "ALP: Adaptive Lossless floating-Point Compression" (SIGMOD 2024)
+ *
+ * @see <a href="https://dl.acm.org/doi/10.1145/3626717">ALP Paper</a>
+ */
+public final class AlpConstants {
+
+  private AlpConstants() {
+    // Utility class
+  }
+
+  // ========== Page header (7 bytes, matching C++ AlpHeader) ==========
+  // [compression_mode(1)][integer_encoding(1)][log_vector_size(1)][num_elements(4)]
+  public static final int HEADER_SIZE = 7;
+  public static final int COMPRESSION_MODE_ALP = 0;
+  public static final int INTEGER_ENCODING_FOR = 0;
+
+  // ========== Vector sizing ==========
+  public static final int DEFAULT_VECTOR_SIZE = 1024;
+  public static final int DEFAULT_VECTOR_SIZE_LOG = 10;
+
+  // Capped at 15 (vectorSize=32768) because num_exceptions is uint16,
+  // so vectorSize must not exceed 65535 to avoid overflow when all values are exceptions.
+  static final int MAX_LOG_VECTOR_SIZE = 15;
+  static final int MIN_LOG_VECTOR_SIZE = 3;
+
+  // ========== Sampler constants (matching C++ AlpConstants) ==========
+  static final int SAMPLER_VECTOR_SIZE = 4096;
+  static final int SAMPLER_ROWGROUP_SIZE = 122880;
+  static final int SAMPLER_SAMPLES_PER_VECTOR = 256;
+  static final int SAMPLER_SAMPLE_VECTORS_PER_ROWGROUP = 8;
+  static final int MAX_COMBINATIONS = 5;
+  static final int SAMPLING_EARLY_EXIT_THRESHOLD = 4;
+
+  // ========== Float-specific ==========
+  static final int FLOAT_MAX_EXPONENT = 10;
+  static final float MAGIC_FLOAT = 12_582_912.0f; // 2^22 + 2^23
+  static final float FLOAT_ENCODING_UPPER_LIMIT = 2147483520.0f;
+  static final float FLOAT_ENCODING_LOWER_LIMIT = -2147483520.0f;
+  static final int FLOAT_NEGATIVE_ZERO_BITS = 0x80000000;
+
+  static final float[] FLOAT_POW10 = {1e0f, 1e1f, 1e2f, 1e3f, 1e4f, 1e5f, 1e6f, 1e7f, 1e8f, 1e9f, 1e10f};
+
+  // ========== Double-specific ==========
+  static final int DOUBLE_MAX_EXPONENT = 18;
+  static final double MAGIC_DOUBLE = 6_755_399_441_055_744.0; // 2^51 + 2^52
+  static final double DOUBLE_ENCODING_UPPER_LIMIT = 9223372036854774784.0;
+  static final double DOUBLE_ENCODING_LOWER_LIMIT = -9223372036854774784.0;
+  static final long DOUBLE_NEGATIVE_ZERO_BITS = 0x8000000000000000L;
+
+  static final double[] DOUBLE_POW10 = {
+    1e0, 1e1, 1e2, 1e3, 1e4, 1e5, 1e6, 1e7, 1e8, 1e9, 1e10, 1e11, 1e12, 1e13, 1e14, 1e15, 1e16, 1e17, 1e18
+  };
+
+  // ========== Per-vector metadata sizes ==========
+  public static final int ALP_INFO_SIZE = 4; // exponent(1) + factor(1) + num_exceptions(2)
+  public static final int FLOAT_FOR_INFO_SIZE = 5; // frame_of_reference(4) + bit_width(1)
+  public static final int DOUBLE_FOR_INFO_SIZE = 9; // frame_of_reference(8) + bit_width(1)
+
+  // ========== Offset and position types ==========
+  // OffsetType = int (4 bytes), PositionType = short (2 bytes) — matching C++ uint32_t and uint16_t
+  public static final int OFFSET_SIZE = Integer.BYTES;
+  public static final int POSITION_SIZE = Short.BYTES;
+
+  /** Returns 10^power as a long, for power in [0, 18]. */
+  static long integerPow10(int power) {
+    Preconditions.checkArgument(power >= 0 && power <= 18, "power must be in [0, 18], got: %s", power);
+    return INTEGER_POW10[power];
+  }
+
+  private static final long[] INTEGER_POW10 = {
+    1L,
+    10L,
+    100L,
+    1_000L,
+    10_000L,
+    100_000L,
+    1_000_000L,
+    10_000_000L,
+    100_000_000L,
+    1_000_000_000L,
+    10_000_000_000L,
+    100_000_000_000L,
+    1_000_000_000_000L,
+    10_000_000_000_000L,
+    100_000_000_000_000L,
+    1_000_000_000_000_000L,
+    10_000_000_000_000_000L,
+    100_000_000_000_000_000L,
+    1_000_000_000_000_000_000L,
+  };
+
+  /** Validates vector size: must be a power of 2 in [2^MIN_LOG .. 2^MAX_LOG]. */
+  public static int validateVectorSize(int vectorSize) {
+    Preconditions.checkArgument(
+        vectorSize > 0 && (vectorSize & (vectorSize - 1)) == 0,
+        "Vector size must be a power of 2, got: %s",
+        vectorSize);
+    int logSize = Integer.numberOfTrailingZeros(vectorSize);
+    Preconditions.checkArgument(
+        logSize >= MIN_LOG_VECTOR_SIZE && logSize <= MAX_LOG_VECTOR_SIZE,
+        "Vector size log2 must be between %s and %s, got: %s (vectorSize=%s)",
+        MIN_LOG_VECTOR_SIZE,
+        MAX_LOG_VECTOR_SIZE,
+        logSize,
+        vectorSize);
+    return vectorSize;
+  }
+}
diff --git a/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpConstantsTest.java b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpConstantsTest.java
new file mode 100644
index 0000000000..10c1ea1454
--- /dev/null
+++ b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpConstantsTest.java
@@ -0,0 +1,103 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+package org.apache.parquet.column.values.alp;
+
+import static org.junit.Assert.*;
+
+import org.junit.Test;
+
+public class AlpConstantsTest {
+
+  @Test
+  public void testHeaderSize() {
+    assertEquals(7, AlpConstants.HEADER_SIZE);
+  }
+
+  @Test
+  public void testFloatPow10Table() {
+    assertEquals(11, AlpConstants.FLOAT_POW10.length);
+    assertEquals(1.0f, AlpConstants.FLOAT_POW10[0], 0.0f);
+    assertEquals(10.0f, AlpConstants.FLOAT_POW10[1], 0.0f);
+    assertEquals(1e10f, AlpConstants.FLOAT_POW10[10], 0.0f);
+  }
+
+  @Test
+  public void testDoublePow10Table() {
+    assertEquals(19, AlpConstants.DOUBLE_POW10.length);
+    assertEquals(1.0, AlpConstants.DOUBLE_POW10[0], 0.0);
+    assertEquals(10.0, AlpConstants.DOUBLE_POW10[1], 0.0);
+    assertEquals(1e18, AlpConstants.DOUBLE_POW10[18], 0.0);
+  }
+
+  @Test
+  public void testIntegerPow10() {
+    assertEquals(1L, AlpConstants.integerPow10(0));
+    assertEquals(10L, AlpConstants.integerPow10(1));
+    assertEquals(100L, AlpConstants.integerPow10(2));
+    assertEquals(1_000_000_000L, AlpConstants.integerPow10(9));
+    assertEquals(1_000_000_000_000_000_000L, AlpConstants.integerPow10(18));
+  }
+
+  @Test(expected = IllegalArgumentException.class)
+  public void testIntegerPow10NegativePower() {
+    AlpConstants.integerPow10(-1);
+  }
+
+  @Test(expected = IllegalArgumentException.class)
+  public void testIntegerPow10TooLargePower() {
+    AlpConstants.integerPow10(19);
+  }
+
+  @Test
+  public void testValidateVectorSize() {
+    assertEquals(8, AlpConstants.validateVectorSize(8));
+    assertEquals(1024, AlpConstants.validateVectorSize(1024));
+    assertEquals(32768, AlpConstants.validateVectorSize(32768));
+  }
+
+  @Test(expected = IllegalArgumentException.class)
+  public void testValidateVectorSizeNotPowerOf2() {
+    AlpConstants.validateVectorSize(100);
+  }
+
+  @Test(expected = IllegalArgumentException.class)
+  public void testValidateVectorSizeTooSmall() {
+    AlpConstants.validateVectorSize(4); // 2^2 < MIN_LOG=3
+  }
+
+  @Test(expected = IllegalArgumentException.class)
+  public void testValidateVectorSizeTooLarge() {
+    AlpConstants.validateVectorSize(65536); // 2^16 > MAX_LOG=15
+  }
+
+  @Test
+  public void testEncodingLimits() {
+    assertTrue(AlpConstants.FLOAT_ENCODING_UPPER_LIMIT > 0);
+    assertTrue(AlpConstants.FLOAT_ENCODING_LOWER_LIMIT < 0);
+    assertTrue(AlpConstants.DOUBLE_ENCODING_UPPER_LIMIT > 0);
+    assertTrue(AlpConstants.DOUBLE_ENCODING_LOWER_LIMIT < 0);
+  }
+
+  @Test
+  public void testMetadataSizes() {
+    assertEquals(4, AlpConstants.ALP_INFO_SIZE);
+    assertEquals(5, AlpConstants.FLOAT_FOR_INFO_SIZE);
+    assertEquals(9, AlpConstants.DOUBLE_FOR_INFO_SIZE);
+  }
+}

From d656aafc6cf11e9132cc56ab4aa9c6ba2aabb4e1 Mon Sep 17 00:00:00 2001
From: Prateek Gaur <prateek.gaur@snowflake.com>
Date: Sat, 7 Mar 2026 17:03:34 +0000
Subject: [PATCH 02/24] ALP: Add AlpEncoderDecoder with core encode/decode
 logic

Add the core ALP encoding/decoding primitives:
- Per-value float/double encode and decode
- Fast rounding via magic number trick (matching C++)
- Exception detection (NaN, Inf, -0.0, round-trip failure)
- Bit width calculation for int and long
- Bit packed size calculation
- Best (exponent, factor) parameter search (full and preset-based)
---
 .../column/values/alp/AlpEncoderDecoder.java  | 303 ++++++++++++++++++
 .../values/alp/AlpEncoderDecoderTest.java     | 151 +++++++++
 2 files changed, 454 insertions(+)
 create mode 100644 parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpEncoderDecoder.java
 create mode 100644 parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpEncoderDecoderTest.java

diff --git a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpEncoderDecoder.java b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpEncoderDecoder.java
new file mode 100644
index 0000000000..34d2f091f1
--- /dev/null
+++ b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpEncoderDecoder.java
@@ -0,0 +1,303 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+package org.apache.parquet.column.values.alp;
+
+import static org.apache.parquet.column.values.alp.AlpConstants.*;
+
+/**
+ * Core ALP (Adaptive Lossless floating-Point) encoding and decoding logic.
+ *
+ * <p>ALP works by converting floating-point values to integers using decimal scaling,
+ * then applying Frame of Reference encoding and bit-packing.
+ * Values that cannot be losslessly converted are stored as exceptions.
+ *
+ * <p>Encoding formula: encoded = round(value * 10^exponent / 10^factor)
+ * <p>Decoding formula: value = encoded / 10^exponent * 10^factor
+ *
+ * <p>Exception conditions:
+ * <ul>
+ *   <li>NaN values</li>
+ *   <li>Infinity values</li>
+ *   <li>Negative zero (-0.0)</li>
+ *   <li>Out of integer range</li>
+ *   <li>Round-trip failure (decode(encode(v)) != v)</li>
+ * </ul>
+ */
+final class AlpEncoderDecoder {
+
+  private AlpEncoderDecoder() {
+    // Utility class
+  }
+
+  // ========== Float multiplier ==========
+
+  static float getFloatMultiplier(int exponent, int factor) {
+    float multiplier = FLOAT_POW10[exponent];
+    if (factor > 0) {
+      multiplier /= FLOAT_POW10[factor];
+    }
+    return multiplier;
+  }
+
+  // ========== Double multiplier ==========
+
+  static double getDoubleMultiplier(int exponent, int factor) {
+    double multiplier = DOUBLE_POW10[exponent];
+    if (factor > 0) {
+      multiplier /= DOUBLE_POW10[factor];
+    }
+    return multiplier;
+  }
+
+  // ========== Float exception detection ==========
+
+  /** NaN, Inf, and -0.0 can never be encoded regardless of exponent/factor. */
+  static boolean isFloatException(float value) {
+    if (Float.isNaN(value)) {
+      return true;
+    }
+    if (Float.isInfinite(value)) {
+      return true;
+    }
+    return Float.floatToRawIntBits(value) == FLOAT_NEGATIVE_ZERO_BITS;
+  }
+
+  /** Check round-trip: encode then decode, and see if we get the same bits back. */
+  static boolean isFloatException(float value, int exponent, int factor) {
+    if (isFloatException(value)) {
+      return true;
+    }
+    float multiplier = getFloatMultiplier(exponent, factor);
+    float scaled = value * multiplier;
+    if (scaled > Integer.MAX_VALUE || scaled < Integer.MIN_VALUE) {
+      return true;
+    }
+    int encoded = encodeFloat(value, exponent, factor);
+    float decoded = decodeFloat(encoded, exponent, factor);
+    return Float.floatToRawIntBits(value) != Float.floatToRawIntBits(decoded);
+  }
+
+  // ========== Float encode/decode ==========
+
+  /** Encode: round(value * 10^exponent / 10^factor) */
+  static int encodeFloat(float value, int exponent, int factor) {
+    return fastRoundFloat(value * getFloatMultiplier(exponent, factor));
+  }
+
+  /** Decode: encoded / 10^exponent * 10^factor */
+  static float decodeFloat(int encoded, int exponent, int factor) {
+    return encoded / getFloatMultiplier(exponent, factor);
+  }
+
+  // Uses the 2^22+2^23 magic-number trick to round without branching on the FPU.
+  static int fastRoundFloat(float value) {
+    if (value >= 0) {
+      return (int) ((value + MAGIC_FLOAT) - MAGIC_FLOAT);
+    } else {
+      return (int) ((value - MAGIC_FLOAT) + MAGIC_FLOAT);
+    }
+  }
+
+  // ========== Double exception detection ==========
+
+  static boolean isDoubleException(double value) {
+    if (Double.isNaN(value)) {
+      return true;
+    }
+    if (Double.isInfinite(value)) {
+      return true;
+    }
+    return Double.doubleToRawLongBits(value) == DOUBLE_NEGATIVE_ZERO_BITS;
+  }
+
+  static boolean isDoubleException(double value, int exponent, int factor) {
+    if (isDoubleException(value)) {
+      return true;
+    }
+    double multiplier = getDoubleMultiplier(exponent, factor);
+    double scaled = value * multiplier;
+    if (scaled > Long.MAX_VALUE || scaled < Long.MIN_VALUE) {
+      return true;
+    }
+    long encoded = encodeDouble(value, exponent, factor);
+    double decoded = decodeDouble(encoded, exponent, factor);
+    return Double.doubleToRawLongBits(value) != Double.doubleToRawLongBits(decoded);
+  }
+
+  // ========== Double encode/decode ==========
+
+  static long encodeDouble(double value, int exponent, int factor) {
+    return fastRoundDouble(value * getDoubleMultiplier(exponent, factor));
+  }
+
+  static double decodeDouble(long encoded, int exponent, int factor) {
+    return encoded / getDoubleMultiplier(exponent, factor);
+  }
+
+  // Same trick but with 2^51+2^52 for double precision.
+  static long fastRoundDouble(double value) {
+    if (value >= 0) {
+      return (long) ((value + MAGIC_DOUBLE) - MAGIC_DOUBLE);
+    } else {
+      return (long) ((value - MAGIC_DOUBLE) + MAGIC_DOUBLE);
+    }
+  }
+
+  // ========== Bit width ==========
+
+  /** Number of bits needed to represent maxDelta as an unsigned value. */
+  static int bitWidthForInt(int maxDelta) {
+    if (maxDelta == 0) {
+      return 0;
+    }
+    return Integer.SIZE - Integer.numberOfLeadingZeros(maxDelta);
+  }
+
+  static int bitWidthForLong(long maxDelta) {
+    if (maxDelta == 0) {
+      return 0;
+    }
+    return Long.SIZE - Long.numberOfLeadingZeros(maxDelta);
+  }
+
+  /** Packed data size in bytes: ceil(numElements * bitWidth / 8). */
+  static int bitPackedSize(int numElements, int bitWidth) {
+    return (numElements * bitWidth + 7) / 8;
+  }
+
+  // ========== Encoding params ==========
+
+  static class EncodingParams {
+    final int exponent;
+    final int factor;
+    final int numExceptions;
+
+    EncodingParams(int exponent, int factor, int numExceptions) {
+      this.exponent = exponent;
+      this.factor = factor;
+      this.numExceptions = numExceptions;
+    }
+  }
+
+  /** Try all (exponent, factor) combos and pick the one with fewest exceptions. */
+  static EncodingParams findBestFloatParams(float[] values, int offset, int length) {
+    int bestExponent = 0;
+    int bestFactor = 0;
+    int bestExceptions = length;
+
+    for (int e = 0; e <= FLOAT_MAX_EXPONENT; e++) {
+      for (int f = 0; f <= e; f++) {
+        int exceptions = 0;
+        for (int i = 0; i < length; i++) {
+          if (isFloatException(values[offset + i], e, f)) {
+            exceptions++;
+          }
+        }
+        if (exceptions < bestExceptions) {
+          bestExponent = e;
+          bestFactor = f;
+          bestExceptions = exceptions;
+          if (bestExceptions == 0) {
+            return new EncodingParams(bestExponent, bestFactor, bestExceptions);
+          }
+        }
+      }
+    }
+    return new EncodingParams(bestExponent, bestFactor, bestExceptions);
+  }
+
+  /** Same as findBestFloatParams but only tries the cached preset combos. */
+  static EncodingParams findBestFloatParamsWithPresets(float[] values, int offset, int length, int[][] presets) {
+    int bestExponent = presets[0][0];
+    int bestFactor = presets[0][1];
+    int bestExceptions = length;
+
+    for (int[] preset : presets) {
+      int e = preset[0];
+      int f = preset[1];
+      int exceptions = 0;
+      for (int i = 0; i < length; i++) {
+        if (isFloatException(values[offset + i], e, f)) {
+          exceptions++;
+        }
+      }
+      if (exceptions < bestExceptions) {
+        bestExponent = e;
+        bestFactor = f;
+        bestExceptions = exceptions;
+        if (bestExceptions == 0) {
+          return new EncodingParams(bestExponent, bestFactor, bestExceptions);
+        }
+      }
+    }
+    return new EncodingParams(bestExponent, bestFactor, bestExceptions);
+  }
+
+  static EncodingParams findBestDoubleParams(double[] values, int offset, int length) {
+    int bestExponent = 0;
+    int bestFactor = 0;
+    int bestExceptions = length;
+
+    for (int e = 0; e <= DOUBLE_MAX_EXPONENT; e++) {
+      for (int f = 0; f <= e; f++) {
+        int exceptions = 0;
+        for (int i = 0; i < length; i++) {
+          if (isDoubleException(values[offset + i], e, f)) {
+            exceptions++;
+          }
+        }
+        if (exceptions < bestExceptions) {
+          bestExponent = e;
+          bestFactor = f;
+          bestExceptions = exceptions;
+          if (bestExceptions == 0) {
+            return new EncodingParams(bestExponent, bestFactor, bestExceptions);
+          }
+        }
+      }
+    }
+    return new EncodingParams(bestExponent, bestFactor, bestExceptions);
+  }
+
+  static EncodingParams findBestDoubleParamsWithPresets(double[] values, int offset, int length, int[][] presets) {
+    int bestExponent = presets[0][0];
+    int bestFactor = presets[0][1];
+    int bestExceptions = length;
+
+    for (int[] preset : presets) {
+      int e = preset[0];
+      int f = preset[1];
+      int exceptions = 0;
+      for (int i = 0; i < length; i++) {
+        if (isDoubleException(values[offset + i], e, f)) {
+          exceptions++;
+        }
+      }
+      if (exceptions < bestExceptions) {
+        bestExponent = e;
+        bestFactor = f;
+        bestExceptions = exceptions;
+        if (bestExceptions == 0) {
+          return new EncodingParams(bestExponent, bestFactor, bestExceptions);
+        }
+      }
+    }
+    return new EncodingParams(bestExponent, bestFactor, bestExceptions);
+  }
+}
diff --git a/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpEncoderDecoderTest.java b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpEncoderDecoderTest.java
new file mode 100644
index 0000000000..2c2279fdd9
--- /dev/null
+++ b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpEncoderDecoderTest.java
@@ -0,0 +1,151 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+package org.apache.parquet.column.values.alp;
+
+import static org.junit.Assert.*;
+
+import org.junit.Test;
+
+public class AlpEncoderDecoderTest {
+
+  @Test
+  public void testFloatRoundTrip() {
+    float[] testValues = {0.0f, 1.0f, -1.0f, 3.14159f, 100.5f, 0.001f, 1234567.0f};
+    for (float value : testValues) {
+      for (int e = 0; e <= AlpConstants.FLOAT_MAX_EXPONENT; e++) {
+        for (int f = 0; f <= e; f++) {
+          if (!AlpEncoderDecoder.isFloatException(value, e, f)) {
+            int encoded = AlpEncoderDecoder.encodeFloat(value, e, f);
+            float decoded = AlpEncoderDecoder.decodeFloat(encoded, e, f);
+            assertEquals(Float.floatToRawIntBits(value), Float.floatToRawIntBits(decoded));
+          }
+        }
+      }
+    }
+  }
+
+  @Test
+  public void testFloatExceptionDetection() {
+    assertTrue(AlpEncoderDecoder.isFloatException(Float.NaN));
+    assertTrue(AlpEncoderDecoder.isFloatException(Float.POSITIVE_INFINITY));
+    assertTrue(AlpEncoderDecoder.isFloatException(Float.NEGATIVE_INFINITY));
+    assertTrue(AlpEncoderDecoder.isFloatException(-0.0f));
+    assertFalse(AlpEncoderDecoder.isFloatException(1.0f));
+    assertFalse(AlpEncoderDecoder.isFloatException(0.0f));
+  }
+
+  @Test
+  public void testFloatEncoding() {
+    assertEquals(123, AlpEncoderDecoder.encodeFloat(1.23f, 2, 0));
+    assertEquals(123, AlpEncoderDecoder.encodeFloat(12.3f, 2, 1));
+    assertEquals(0, AlpEncoderDecoder.encodeFloat(0.0f, 5, 0));
+  }
+
+  @Test
+  public void testFastRoundFloat() {
+    assertEquals(5, AlpEncoderDecoder.fastRoundFloat(5.4f));
+    assertEquals(6, AlpEncoderDecoder.fastRoundFloat(5.5f));
+    assertEquals(-5, AlpEncoderDecoder.fastRoundFloat(-5.4f));
+    assertEquals(-6, AlpEncoderDecoder.fastRoundFloat(-5.5f));
+    assertEquals(0, AlpEncoderDecoder.fastRoundFloat(0.0f));
+  }
+
+  @Test
+  public void testDoubleRoundTrip() {
+    double[] testValues = {0.0, 1.0, -1.0, 3.14159265358979, 100.5, 0.001};
+    for (double value : testValues) {
+      for (int e = 0; e <= Math.min(AlpConstants.DOUBLE_MAX_EXPONENT, 10); e++) {
+        for (int f = 0; f <= e; f++) {
+          if (!AlpEncoderDecoder.isDoubleException(value, e, f)) {
+            long encoded = AlpEncoderDecoder.encodeDouble(value, e, f);
+            double decoded = AlpEncoderDecoder.decodeDouble(encoded, e, f);
+            assertEquals(Double.doubleToRawLongBits(value), Double.doubleToRawLongBits(decoded));
+          }
+        }
+      }
+    }
+  }
+
+  @Test
+  public void testDoubleExceptionDetection() {
+    assertTrue(AlpEncoderDecoder.isDoubleException(Double.NaN));
+    assertTrue(AlpEncoderDecoder.isDoubleException(Double.POSITIVE_INFINITY));
+    assertTrue(AlpEncoderDecoder.isDoubleException(Double.NEGATIVE_INFINITY));
+    assertTrue(AlpEncoderDecoder.isDoubleException(-0.0));
+    assertFalse(AlpEncoderDecoder.isDoubleException(1.0));
+    assertFalse(AlpEncoderDecoder.isDoubleException(0.0));
+  }
+
+  @Test
+  public void testBitWidthForInt() {
+    assertEquals(0, AlpEncoderDecoder.bitWidthForInt(0));
+    assertEquals(1, AlpEncoderDecoder.bitWidthForInt(1));
+    assertEquals(8, AlpEncoderDecoder.bitWidthForInt(255));
+    assertEquals(9, AlpEncoderDecoder.bitWidthForInt(256));
+    assertEquals(31, AlpEncoderDecoder.bitWidthForInt(Integer.MAX_VALUE));
+  }
+
+  @Test
+  public void testBitWidthForLong() {
+    assertEquals(0, AlpEncoderDecoder.bitWidthForLong(0L));
+    assertEquals(1, AlpEncoderDecoder.bitWidthForLong(1L));
+    assertEquals(63, AlpEncoderDecoder.bitWidthForLong(Long.MAX_VALUE));
+  }
+
+  @Test
+  public void testBitPackedSize() {
+    assertEquals(0, AlpEncoderDecoder.bitPackedSize(1024, 0));
+    assertEquals(128, AlpEncoderDecoder.bitPackedSize(1024, 1));
+    assertEquals(1024, AlpEncoderDecoder.bitPackedSize(1024, 8));
+    assertEquals(1, AlpEncoderDecoder.bitPackedSize(3, 2)); // ceil(6/8)=1
+  }
+
+  @Test
+  public void testFindBestFloatParams() {
+    float[] values = {1.23f, 4.56f, 7.89f, 10.11f, 12.13f};
+    AlpEncoderDecoder.EncodingParams params = AlpEncoderDecoder.findBestFloatParams(values, 0, values.length);
+    assertNotNull(params);
+    assertEquals(0, params.numExceptions);
+  }
+
+  @Test
+  public void testFindBestFloatParamsAllExceptions() {
+    float[] values = {Float.NaN, Float.NaN, Float.NaN};
+    AlpEncoderDecoder.EncodingParams params = AlpEncoderDecoder.findBestFloatParams(values, 0, values.length);
+    assertEquals(values.length, params.numExceptions);
+  }
+
+  @Test
+  public void testFindBestDoubleParams() {
+    double[] values = {1.23, 4.56, 7.89, 10.11, 12.13};
+    AlpEncoderDecoder.EncodingParams params = AlpEncoderDecoder.findBestDoubleParams(values, 0, values.length);
+    assertNotNull(params);
+    assertEquals(0, params.numExceptions);
+  }
+
+  @Test
+  public void testFindBestParamsWithPresets() {
+    float[] values = {1.23f, 4.56f, 7.89f};
+    AlpEncoderDecoder.EncodingParams fullResult = AlpEncoderDecoder.findBestFloatParams(values, 0, values.length);
+    int[][] presets = {{fullResult.exponent, fullResult.factor}, {0, 0}, {1, 0}};
+    AlpEncoderDecoder.EncodingParams presetResult =
+        AlpEncoderDecoder.findBestFloatParamsWithPresets(values, 0, values.length, presets);
+    assertTrue(presetResult.numExceptions <= fullResult.numExceptions);
+  }
+}

From 388d2a929987764575dd74d9c2f050f5c65b3b8f Mon Sep 17 00:00:00 2001
From: Prateek Gaur <prateek.gaur@snowflake.com>
Date: Sat, 7 Mar 2026 17:48:26 +0000
Subject: [PATCH 03/24] ALP: Add AlpCompression for single-vector
 compress/decompress

Implements the core ALP compression pipeline for individual vectors:
encode floats/doubles to integers, apply Frame of Reference, bit-pack.
Decompression reverses this with exception patching.

Includes FloatCompressedVector/DoubleCompressedVector with store/load
serialization matching the C++ wire format, and AlpEncodingPreset for
preset-based encoding parameter selection.
---
 .../column/values/alp/AlpCompression.java     | 493 ++++++++++++++++++
 .../column/values/alp/AlpCompressionTest.java | 381 ++++++++++++++
 2 files changed, 874 insertions(+)
 create mode 100644 parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpCompression.java
 create mode 100644 parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpCompressionTest.java

diff --git a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpCompression.java b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpCompression.java
new file mode 100644
index 0000000000..7baf60abef
--- /dev/null
+++ b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpCompression.java
@@ -0,0 +1,493 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+package org.apache.parquet.column.values.alp;
+
+import static org.apache.parquet.column.values.alp.AlpConstants.*;
+
+import java.nio.ByteBuffer;
+import java.nio.ByteOrder;
+import java.util.Arrays;
+import org.apache.parquet.column.values.bitpacking.BytePacker;
+import org.apache.parquet.column.values.bitpacking.BytePackerForLong;
+import org.apache.parquet.column.values.bitpacking.Packer;
+
+/**
+ * ALP compression and decompression for single vectors of floating-point values.
+ *
+ * <p>Compression pipeline: find best (exponent, factor) → encode to integers →
+ * Frame of Reference → bit-pack. Decompression reverses this.
+ *
+ * <p>Mirrors C++ {@code AlpCompression<T>} with overloaded static methods for float and double.
+ */
+final class AlpCompression {
+
+  private AlpCompression() {}
+
+  // ========== AlpEncodingPreset ==========
+
+  /** Preset containing candidate (exponent, factor) combinations from sampling. */
+  static final class AlpEncodingPreset {
+    final int[][] combinations; // each element is {exponent, factor}
+
+    AlpEncodingPreset(int[][] combinations) {
+      this.combinations = combinations;
+    }
+  }
+
+  // ========== FloatCompressedVector ==========
+
+  /**
+   * A compressed ALP vector for float data.
+   *
+   * <p>Wire format (little-endian):
+   * [AlpInfo(4B)][ForInfo(5B)][PackedValues][ExcPositions][ExcValues]
+   */
+  static final class FloatCompressedVector {
+    int exponent;
+    int factor;
+    int numExceptions;
+    int frameOfReference;
+    int bitWidth;
+    int numElements;
+    byte[] packedValues;
+    short[] exceptionPositions;
+    float[] exceptionValues;
+
+    int storedSize() {
+      return ALP_INFO_SIZE + FLOAT_FOR_INFO_SIZE + dataStoredSize();
+    }
+
+    int dataStoredSize() {
+      return AlpEncoderDecoder.bitPackedSize(numElements, bitWidth)
+          + numExceptions * (POSITION_SIZE + Float.BYTES);
+    }
+
+    void store(byte[] output, int offset) {
+      ByteBuffer buf = ByteBuffer.wrap(output, offset, storedSize()).order(ByteOrder.LITTLE_ENDIAN);
+      buf.put((byte) exponent);
+      buf.put((byte) factor);
+      buf.putShort((short) numExceptions);
+      buf.putInt(frameOfReference);
+      buf.put((byte) bitWidth);
+      storeDataTo(buf);
+    }
+
+    void storeDataOnly(byte[] output, int offset) {
+      ByteBuffer buf =
+          ByteBuffer.wrap(output, offset, dataStoredSize()).order(ByteOrder.LITTLE_ENDIAN);
+      storeDataTo(buf);
+    }
+
+    private void storeDataTo(ByteBuffer buf) {
+      int bps = AlpEncoderDecoder.bitPackedSize(numElements, bitWidth);
+      buf.put(packedValues, 0, bps);
+      for (int i = 0; i < numExceptions; i++) {
+        buf.putShort(exceptionPositions[i]);
+      }
+      for (int i = 0; i < numExceptions; i++) {
+        buf.putFloat(exceptionValues[i]);
+      }
+    }
+
+    static FloatCompressedVector load(byte[] input, int offset, int numElements) {
+      ByteBuffer buf =
+          ByteBuffer.wrap(input, offset, input.length - offset).order(ByteOrder.LITTLE_ENDIAN);
+      FloatCompressedVector v = new FloatCompressedVector();
+      v.numElements = numElements;
+      v.exponent = buf.get() & 0xFF;
+      v.factor = buf.get() & 0xFF;
+      v.numExceptions = buf.getShort() & 0xFFFF;
+      v.frameOfReference = buf.getInt();
+      v.bitWidth = buf.get() & 0xFF;
+      int bps = AlpEncoderDecoder.bitPackedSize(numElements, v.bitWidth);
+      v.packedValues = new byte[bps];
+      buf.get(v.packedValues);
+      v.exceptionPositions = new short[v.numExceptions];
+      for (int i = 0; i < v.numExceptions; i++) {
+        v.exceptionPositions[i] = buf.getShort();
+      }
+      v.exceptionValues = new float[v.numExceptions];
+      for (int i = 0; i < v.numExceptions; i++) {
+        v.exceptionValues[i] = buf.getFloat();
+      }
+      return v;
+    }
+  }
+
+  // ========== DoubleCompressedVector ==========
+
+  /**
+   * A compressed ALP vector for double data.
+   *
+   * <p>Wire format (little-endian):
+   * [AlpInfo(4B)][ForInfo(9B)][PackedValues][ExcPositions][ExcValues]
+   */
+  static final class DoubleCompressedVector {
+    int exponent;
+    int factor;
+    int numExceptions;
+    long frameOfReference;
+    int bitWidth;
+    int numElements;
+    byte[] packedValues;
+    short[] exceptionPositions;
+    double[] exceptionValues;
+
+    int storedSize() {
+      return ALP_INFO_SIZE + DOUBLE_FOR_INFO_SIZE + dataStoredSize();
+    }
+
+    int dataStoredSize() {
+      return AlpEncoderDecoder.bitPackedSize(numElements, bitWidth)
+          + numExceptions * (POSITION_SIZE + Double.BYTES);
+    }
+
+    void store(byte[] output, int offset) {
+      ByteBuffer buf = ByteBuffer.wrap(output, offset, storedSize()).order(ByteOrder.LITTLE_ENDIAN);
+      buf.put((byte) exponent);
+      buf.put((byte) factor);
+      buf.putShort((short) numExceptions);
+      buf.putLong(frameOfReference);
+      buf.put((byte) bitWidth);
+      storeDataTo(buf);
+    }
+
+    void storeDataOnly(byte[] output, int offset) {
+      ByteBuffer buf =
+          ByteBuffer.wrap(output, offset, dataStoredSize()).order(ByteOrder.LITTLE_ENDIAN);
+      storeDataTo(buf);
+    }
+
+    private void storeDataTo(ByteBuffer buf) {
+      int bps = AlpEncoderDecoder.bitPackedSize(numElements, bitWidth);
+      buf.put(packedValues, 0, bps);
+      for (int i = 0; i < numExceptions; i++) {
+        buf.putShort(exceptionPositions[i]);
+      }
+      for (int i = 0; i < numExceptions; i++) {
+        buf.putDouble(exceptionValues[i]);
+      }
+    }
+
+    static DoubleCompressedVector load(byte[] input, int offset, int numElements) {
+      ByteBuffer buf =
+          ByteBuffer.wrap(input, offset, input.length - offset).order(ByteOrder.LITTLE_ENDIAN);
+      DoubleCompressedVector v = new DoubleCompressedVector();
+      v.numElements = numElements;
+      v.exponent = buf.get() & 0xFF;
+      v.factor = buf.get() & 0xFF;
+      v.numExceptions = buf.getShort() & 0xFFFF;
+      v.frameOfReference = buf.getLong();
+      v.bitWidth = buf.get() & 0xFF;
+      int bps = AlpEncoderDecoder.bitPackedSize(numElements, v.bitWidth);
+      v.packedValues = new byte[bps];
+      buf.get(v.packedValues);
+      v.exceptionPositions = new short[v.numExceptions];
+      for (int i = 0; i < v.numExceptions; i++) {
+        v.exceptionPositions[i] = buf.getShort();
+      }
+      v.exceptionValues = new double[v.numExceptions];
+      for (int i = 0; i < v.numExceptions; i++) {
+        v.exceptionValues[i] = buf.getDouble();
+      }
+      return v;
+    }
+  }
+
+  // ========== Compress float ==========
+
+  static FloatCompressedVector compressFloatVector(
+      float[] input, int count, AlpEncodingPreset preset) {
+    if (count == 0) {
+      FloatCompressedVector r = new FloatCompressedVector();
+      r.packedValues = new byte[0];
+      r.exceptionPositions = new short[0];
+      r.exceptionValues = new float[0];
+      return r;
+    }
+
+    // 1. Find best (exponent, factor) from preset
+    AlpEncoderDecoder.EncodingParams params =
+        AlpEncoderDecoder.findBestFloatParamsWithPresets(input, 0, count, preset.combinations);
+    int exponent = params.exponent;
+    int factor = params.factor;
+
+    // 2. Encode all values to integers
+    int[] encoded = new int[count];
+    for (int i = 0; i < count; i++) {
+      encoded[i] = AlpEncoderDecoder.encodeFloat(input[i], exponent, factor);
+    }
+
+    // 3. Detect exceptions via bitwise round-trip check
+    int numExceptions = 0;
+    short[] excPositions = new short[count];
+    for (int i = 0; i < count; i++) {
+      float decoded = AlpEncoderDecoder.decodeFloat(encoded[i], exponent, factor);
+      if (Float.floatToRawIntBits(decoded) != Float.floatToRawIntBits(input[i])) {
+        excPositions[numExceptions++] = (short) i;
+      }
+    }
+
+    // 4. Find first non-exception value as placeholder (0 if all are exceptions)
+    int placeholder = 0;
+    int excIdx = 0;
+    for (int i = 0; i < count; i++) {
+      if (excIdx < numExceptions && (excPositions[excIdx] & 0xFFFF) == i) {
+        excIdx++;
+      } else {
+        placeholder = encoded[i];
+        break;
+      }
+    }
+
+    // 5. Replace exceptions with placeholder, collect original values
+    float[] excValues = new float[numExceptions];
+    for (int i = 0; i < numExceptions; i++) {
+      int pos = excPositions[i] & 0xFFFF;
+      excValues[i] = input[pos];
+      encoded[pos] = placeholder;
+    }
+
+    // 6. FOR encoding
+    int min = encoded[0];
+    int max = encoded[0];
+    for (int i = 1; i < count; i++) {
+      if (encoded[i] < min) min = encoded[i];
+      if (encoded[i] > max) max = encoded[i];
+    }
+    for (int i = 0; i < count; i++) {
+      encoded[i] -= min;
+    }
+    int maxDelta = max - min;
+
+    // 7. Bit packing
+    int bitWidth = AlpEncoderDecoder.bitWidthForInt(maxDelta);
+    int bps = AlpEncoderDecoder.bitPackedSize(count, bitWidth);
+    byte[] packedValues = new byte[bps];
+    if (bitWidth > 0) {
+      packInts(encoded, count, bitWidth, packedValues);
+    }
+
+    // Build result
+    FloatCompressedVector result = new FloatCompressedVector();
+    result.exponent = exponent;
+    result.factor = factor;
+    result.numExceptions = numExceptions;
+    result.frameOfReference = min;
+    result.bitWidth = bitWidth;
+    result.numElements = count;
+    result.packedValues = packedValues;
+    result.exceptionPositions = Arrays.copyOf(excPositions, numExceptions);
+    result.exceptionValues = excValues;
+    return result;
+  }
+
+  // ========== Decompress float ==========
+
+  static void decompressFloatVector(FloatCompressedVector v, float[] output) {
+    // 1. Unpack integers
+    int[] encoded = new int[v.numElements];
+    if (v.bitWidth > 0) {
+      unpackInts(v.packedValues, v.numElements, v.bitWidth, encoded);
+    }
+
+    // 2. Fused unFOR + decode
+    for (int i = 0; i < v.numElements; i++) {
+      int unfored = encoded[i] + v.frameOfReference;
+      output[i] = AlpEncoderDecoder.decodeFloat(unfored, v.exponent, v.factor);
+    }
+
+    // 3. Patch exceptions
+    for (int i = 0; i < v.numExceptions; i++) {
+      output[v.exceptionPositions[i] & 0xFFFF] = v.exceptionValues[i];
+    }
+  }
+
+  // ========== Compress double ==========
+
+  static DoubleCompressedVector compressDoubleVector(
+      double[] input, int count, AlpEncodingPreset preset) {
+    if (count == 0) {
+      DoubleCompressedVector r = new DoubleCompressedVector();
+      r.packedValues = new byte[0];
+      r.exceptionPositions = new short[0];
+      r.exceptionValues = new double[0];
+      return r;
+    }
+
+    AlpEncoderDecoder.EncodingParams params =
+        AlpEncoderDecoder.findBestDoubleParamsWithPresets(input, 0, count, preset.combinations);
+    int exponent = params.exponent;
+    int factor = params.factor;
+
+    long[] encoded = new long[count];
+    for (int i = 0; i < count; i++) {
+      encoded[i] = AlpEncoderDecoder.encodeDouble(input[i], exponent, factor);
+    }
+
+    int numExceptions = 0;
+    short[] excPositions = new short[count];
+    for (int i = 0; i < count; i++) {
+      double decoded = AlpEncoderDecoder.decodeDouble(encoded[i], exponent, factor);
+      if (Double.doubleToRawLongBits(decoded) != Double.doubleToRawLongBits(input[i])) {
+        excPositions[numExceptions++] = (short) i;
+      }
+    }
+
+    long placeholder = 0;
+    int excIdx = 0;
+    for (int i = 0; i < count; i++) {
+      if (excIdx < numExceptions && (excPositions[excIdx] & 0xFFFF) == i) {
+        excIdx++;
+      } else {
+        placeholder = encoded[i];
+        break;
+      }
+    }
+
+    double[] excValues = new double[numExceptions];
+    for (int i = 0; i < numExceptions; i++) {
+      int pos = excPositions[i] & 0xFFFF;
+      excValues[i] = input[pos];
+      encoded[pos] = placeholder;
+    }
+
+    long min = encoded[0];
+    long max = encoded[0];
+    for (int i = 1; i < count; i++) {
+      if (encoded[i] < min) min = encoded[i];
+      if (encoded[i] > max) max = encoded[i];
+    }
+    for (int i = 0; i < count; i++) {
+      encoded[i] -= min;
+    }
+    long maxDelta = max - min;
+
+    int bitWidth = AlpEncoderDecoder.bitWidthForLong(maxDelta);
+    int bps = AlpEncoderDecoder.bitPackedSize(count, bitWidth);
+    byte[] packedValues = new byte[bps];
+    if (bitWidth > 0) {
+      packLongs(encoded, count, bitWidth, packedValues);
+    }
+
+    DoubleCompressedVector result = new DoubleCompressedVector();
+    result.exponent = exponent;
+    result.factor = factor;
+    result.numExceptions = numExceptions;
+    result.frameOfReference = min;
+    result.bitWidth = bitWidth;
+    result.numElements = count;
+    result.packedValues = packedValues;
+    result.exceptionPositions = Arrays.copyOf(excPositions, numExceptions);
+    result.exceptionValues = excValues;
+    return result;
+  }
+
+  // ========== Decompress double ==========
+
+  static void decompressDoubleVector(DoubleCompressedVector v, double[] output) {
+    long[] encoded = new long[v.numElements];
+    if (v.bitWidth > 0) {
+      unpackLongs(v.packedValues, v.numElements, v.bitWidth, encoded);
+    }
+
+    for (int i = 0; i < v.numElements; i++) {
+      long unfored = encoded[i] + v.frameOfReference;
+      output[i] = AlpEncoderDecoder.decodeDouble(unfored, v.exponent, v.factor);
+    }
+
+    for (int i = 0; i < v.numExceptions; i++) {
+      output[v.exceptionPositions[i] & 0xFFFF] = v.exceptionValues[i];
+    }
+  }
+
+  // ========== Bit packing helpers ==========
+
+  @SuppressWarnings("deprecation")
+  static void packInts(int[] values, int count, int bitWidth, byte[] output) {
+    BytePacker packer = Packer.LITTLE_ENDIAN.newBytePacker(bitWidth);
+    int fullGroups = count / 8;
+    for (int g = 0; g < fullGroups; g++) {
+      packer.pack8Values(values, g * 8, output, g * bitWidth);
+    }
+    int remaining = count % 8;
+    if (remaining > 0) {
+      int[] padded = new int[8];
+      System.arraycopy(values, fullGroups * 8, padded, 0, remaining);
+      byte[] tmp = new byte[bitWidth];
+      packer.pack8Values(padded, 0, tmp, 0);
+      int tailBytes = AlpEncoderDecoder.bitPackedSize(count, bitWidth) - fullGroups * bitWidth;
+      System.arraycopy(tmp, 0, output, fullGroups * bitWidth, tailBytes);
+    }
+  }
+
+  @SuppressWarnings("deprecation")
+  static void unpackInts(byte[] packed, int count, int bitWidth, int[] output) {
+    BytePacker packer = Packer.LITTLE_ENDIAN.newBytePacker(bitWidth);
+    int fullGroups = count / 8;
+    for (int g = 0; g < fullGroups; g++) {
+      packer.unpack8Values(packed, g * bitWidth, output, g * 8);
+    }
+    int remaining = count % 8;
+    if (remaining > 0) {
+      byte[] tmp = new byte[bitWidth];
+      int available = packed.length - fullGroups * bitWidth;
+      System.arraycopy(packed, fullGroups * bitWidth, tmp, 0, Math.min(available, bitWidth));
+      int[] padded = new int[8];
+      packer.unpack8Values(tmp, 0, padded, 0);
+      System.arraycopy(padded, 0, output, fullGroups * 8, remaining);
+    }
+  }
+
+  @SuppressWarnings("deprecation")
+  static void packLongs(long[] values, int count, int bitWidth, byte[] output) {
+    BytePackerForLong packer = Packer.LITTLE_ENDIAN.newBytePackerForLong(bitWidth);
+    int fullGroups = count / 8;
+    for (int g = 0; g < fullGroups; g++) {
+      packer.pack8Values(values, g * 8, output, g * bitWidth);
+    }
+    int remaining = count % 8;
+    if (remaining > 0) {
+      long[] padded = new long[8];
+      System.arraycopy(values, fullGroups * 8, padded, 0, remaining);
+      byte[] tmp = new byte[bitWidth];
+      packer.pack8Values(padded, 0, tmp, 0);
+      int tailBytes = AlpEncoderDecoder.bitPackedSize(count, bitWidth) - fullGroups * bitWidth;
+      System.arraycopy(tmp, 0, output, fullGroups * bitWidth, tailBytes);
+    }
+  }
+
+  @SuppressWarnings("deprecation")
+  static void unpackLongs(byte[] packed, int count, int bitWidth, long[] output) {
+    BytePackerForLong packer = Packer.LITTLE_ENDIAN.newBytePackerForLong(bitWidth);
+    int fullGroups = count / 8;
+    for (int g = 0; g < fullGroups; g++) {
+      packer.unpack8Values(packed, g * bitWidth, output, g * 8);
+    }
+    int remaining = count % 8;
+    if (remaining > 0) {
+      byte[] tmp = new byte[bitWidth];
+      int available = packed.length - fullGroups * bitWidth;
+      System.arraycopy(packed, fullGroups * bitWidth, tmp, 0, Math.min(available, bitWidth));
+      long[] padded = new long[8];
+      packer.unpack8Values(tmp, 0, padded, 0);
+      System.arraycopy(padded, 0, output, fullGroups * 8, remaining);
+    }
+  }
+}
diff --git a/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpCompressionTest.java b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpCompressionTest.java
new file mode 100644
index 0000000000..5cd00d6e41
--- /dev/null
+++ b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpCompressionTest.java
@@ -0,0 +1,381 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+package org.apache.parquet.column.values.alp;
+
+import static org.junit.Assert.*;
+
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Random;
+import org.junit.Test;
+
+public class AlpCompressionTest {
+
+  // ========== Helpers ==========
+
+  private static AlpCompression.AlpEncodingPreset allFloatCombos() {
+    List<int[]> combos = new ArrayList<>();
+    for (int e = 0; e <= AlpConstants.FLOAT_MAX_EXPONENT; e++) {
+      for (int f = 0; f <= e; f++) {
+        combos.add(new int[] {e, f});
+      }
+    }
+    return new AlpCompression.AlpEncodingPreset(combos.toArray(new int[0][]));
+  }
+
+  private static AlpCompression.AlpEncodingPreset allDoubleCombos() {
+    List<int[]> combos = new ArrayList<>();
+    for (int e = 0; e <= AlpConstants.DOUBLE_MAX_EXPONENT; e++) {
+      for (int f = 0; f <= e; f++) {
+        combos.add(new int[] {e, f});
+      }
+    }
+    return new AlpCompression.AlpEncodingPreset(combos.toArray(new int[0][]));
+  }
+
+  private static void assertFloatRoundTrip(float[] input) {
+    AlpCompression.AlpEncodingPreset preset = allFloatCombos();
+    AlpCompression.FloatCompressedVector cv =
+        AlpCompression.compressFloatVector(input, input.length, preset);
+    float[] output = new float[input.length];
+    AlpCompression.decompressFloatVector(cv, output);
+    for (int i = 0; i < input.length; i++) {
+      assertEquals(
+          "Mismatch at index " + i,
+          Float.floatToRawIntBits(input[i]),
+          Float.floatToRawIntBits(output[i]));
+    }
+  }
+
+  private static void assertDoubleRoundTrip(double[] input) {
+    AlpCompression.AlpEncodingPreset preset = allDoubleCombos();
+    AlpCompression.DoubleCompressedVector cv =
+        AlpCompression.compressDoubleVector(input, input.length, preset);
+    double[] output = new double[input.length];
+    AlpCompression.decompressDoubleVector(cv, output);
+    for (int i = 0; i < input.length; i++) {
+      assertEquals(
+          "Mismatch at index " + i,
+          Double.doubleToRawLongBits(input[i]),
+          Double.doubleToRawLongBits(output[i]));
+    }
+  }
+
+  // ========== Float compress/decompress ==========
+
+  @Test
+  public void testFloatConstantValues() {
+    float[] input = new float[100];
+    for (int i = 0; i < 100; i++) {
+      input[i] = 3.14f;
+    }
+    assertFloatRoundTrip(input);
+
+    // Constant → bitWidth should be 0
+    AlpCompression.FloatCompressedVector cv =
+        AlpCompression.compressFloatVector(input, input.length, allFloatCombos());
+    assertEquals(0, cv.bitWidth);
+  }
+
+  @Test
+  public void testFloatDecimalValues() {
+    float[] input = new float[100];
+    for (int i = 0; i < 100; i++) {
+      input[i] = i * 0.1f;
+    }
+    assertFloatRoundTrip(input);
+  }
+
+  @Test
+  public void testFloatIntegerValues() {
+    float[] input = new float[100];
+    for (int i = 0; i < 100; i++) {
+      input[i] = i;
+    }
+    assertFloatRoundTrip(input);
+  }
+
+  @Test
+  public void testFloatRandomValues() {
+    Random rng = new Random(42);
+    float[] input = new float[200];
+    for (int i = 0; i < 200; i++) {
+      input[i] = Math.round(rng.nextFloat() * 10000) / 100.0f;
+    }
+    assertFloatRoundTrip(input);
+  }
+
+  @Test
+  public void testFloatSpecialValues() {
+    float[] input = {1.0f, Float.NaN, 2.0f, Float.POSITIVE_INFINITY, 3.0f,
+        Float.NEGATIVE_INFINITY, 4.0f, -0.0f, 5.0f};
+    assertFloatRoundTrip(input);
+
+    AlpCompression.FloatCompressedVector cv =
+        AlpCompression.compressFloatVector(input, input.length, allFloatCombos());
+    // NaN, +Inf, -Inf, -0.0 should be exceptions
+    assertTrue(cv.numExceptions >= 4);
+  }
+
+  @Test
+  public void testFloatSingleElement() {
+    assertFloatRoundTrip(new float[] {42.5f});
+  }
+
+  @Test
+  public void testFloatEmptyVector() {
+    AlpCompression.FloatCompressedVector cv =
+        AlpCompression.compressFloatVector(new float[0], 0, allFloatCombos());
+    assertEquals(0, cv.numElements);
+    assertEquals(0, cv.numExceptions);
+  }
+
+  @Test
+  public void testFloatAllExceptions() {
+    float[] input = new float[16];
+    for (int i = 0; i < 16; i++) {
+      input[i] = Float.NaN;
+    }
+    assertFloatRoundTrip(input);
+
+    AlpCompression.FloatCompressedVector cv =
+        AlpCompression.compressFloatVector(input, input.length, allFloatCombos());
+    assertEquals(16, cv.numExceptions);
+    assertEquals(0, cv.bitWidth);
+  }
+
+  @Test
+  public void testFloatExactVectorSize() {
+    float[] input = new float[AlpConstants.DEFAULT_VECTOR_SIZE];
+    for (int i = 0; i < input.length; i++) {
+      input[i] = i * 0.01f;
+    }
+    assertFloatRoundTrip(input);
+  }
+
+  @Test
+  public void testFloatNonMultipleOf8() {
+    // 13 elements — tests tail handling in pack/unpack
+    float[] input = new float[13];
+    for (int i = 0; i < 13; i++) {
+      input[i] = i * 1.5f;
+    }
+    assertFloatRoundTrip(input);
+  }
+
+  // ========== Float store/load ==========
+
+  @Test
+  public void testFloatStoreLoadRoundTrip() {
+    float[] input = new float[50];
+    for (int i = 0; i < 50; i++) {
+      input[i] = i * 0.3f;
+    }
+
+    AlpCompression.FloatCompressedVector cv =
+        AlpCompression.compressFloatVector(input, input.length, allFloatCombos());
+
+    byte[] buf = new byte[cv.storedSize()];
+    cv.store(buf, 0);
+
+    AlpCompression.FloatCompressedVector loaded =
+        AlpCompression.FloatCompressedVector.load(buf, 0, input.length);
+
+    float[] output = new float[input.length];
+    AlpCompression.decompressFloatVector(loaded, output);
+
+    for (int i = 0; i < input.length; i++) {
+      assertEquals(
+          "Mismatch at index " + i,
+          Float.floatToRawIntBits(input[i]),
+          Float.floatToRawIntBits(output[i]));
+    }
+  }
+
+  @Test
+  public void testFloatStoreLoadMetadata() {
+    float[] input = {1.1f, 2.2f, 3.3f, Float.NaN, 5.5f};
+    AlpCompression.FloatCompressedVector cv =
+        AlpCompression.compressFloatVector(input, input.length, allFloatCombos());
+
+    byte[] buf = new byte[cv.storedSize()];
+    cv.store(buf, 0);
+
+    AlpCompression.FloatCompressedVector loaded =
+        AlpCompression.FloatCompressedVector.load(buf, 0, input.length);
+
+    assertEquals(cv.exponent, loaded.exponent);
+    assertEquals(cv.factor, loaded.factor);
+    assertEquals(cv.numExceptions, loaded.numExceptions);
+    assertEquals(cv.frameOfReference, loaded.frameOfReference);
+    assertEquals(cv.bitWidth, loaded.bitWidth);
+    assertEquals(cv.numElements, loaded.numElements);
+  }
+
+  // ========== Double compress/decompress ==========
+
+  @Test
+  public void testDoubleConstantValues() {
+    double[] input = new double[100];
+    for (int i = 0; i < 100; i++) {
+      input[i] = 3.14;
+    }
+    assertDoubleRoundTrip(input);
+
+    AlpCompression.DoubleCompressedVector cv =
+        AlpCompression.compressDoubleVector(input, input.length, allDoubleCombos());
+    assertEquals(0, cv.bitWidth);
+  }
+
+  @Test
+  public void testDoubleDecimalValues() {
+    double[] input = new double[100];
+    for (int i = 0; i < 100; i++) {
+      input[i] = i * 0.01;
+    }
+    assertDoubleRoundTrip(input);
+  }
+
+  @Test
+  public void testDoubleRandomValues() {
+    Random rng = new Random(42);
+    double[] input = new double[200];
+    for (int i = 0; i < 200; i++) {
+      input[i] = Math.round(rng.nextDouble() * 10000) / 100.0;
+    }
+    assertDoubleRoundTrip(input);
+  }
+
+  @Test
+  public void testDoubleSpecialValues() {
+    double[] input = {1.0, Double.NaN, 2.0, Double.POSITIVE_INFINITY, 3.0,
+        Double.NEGATIVE_INFINITY, 4.0, -0.0, 5.0};
+    assertDoubleRoundTrip(input);
+
+    AlpCompression.DoubleCompressedVector cv =
+        AlpCompression.compressDoubleVector(input, input.length, allDoubleCombos());
+    assertTrue(cv.numExceptions >= 4);
+  }
+
+  @Test
+  public void testDoubleSingleElement() {
+    assertDoubleRoundTrip(new double[] {42.5});
+  }
+
+  @Test
+  public void testDoubleAllExceptions() {
+    double[] input = new double[16];
+    for (int i = 0; i < 16; i++) {
+      input[i] = Double.NaN;
+    }
+    assertDoubleRoundTrip(input);
+
+    AlpCompression.DoubleCompressedVector cv =
+        AlpCompression.compressDoubleVector(input, input.length, allDoubleCombos());
+    assertEquals(16, cv.numExceptions);
+  }
+
+  @Test
+  public void testDoubleNonMultipleOf8() {
+    double[] input = new double[13];
+    for (int i = 0; i < 13; i++) {
+      input[i] = i * 1.5;
+    }
+    assertDoubleRoundTrip(input);
+  }
+
+  // ========== Double store/load ==========
+
+  @Test
+  public void testDoubleStoreLoadRoundTrip() {
+    double[] input = new double[50];
+    for (int i = 0; i < 50; i++) {
+      input[i] = i * 0.3;
+    }
+
+    AlpCompression.DoubleCompressedVector cv =
+        AlpCompression.compressDoubleVector(input, input.length, allDoubleCombos());
+
+    byte[] buf = new byte[cv.storedSize()];
+    cv.store(buf, 0);
+
+    AlpCompression.DoubleCompressedVector loaded =
+        AlpCompression.DoubleCompressedVector.load(buf, 0, input.length);
+
+    double[] output = new double[input.length];
+    AlpCompression.decompressDoubleVector(loaded, output);
+
+    for (int i = 0; i < input.length; i++) {
+      assertEquals(
+          "Mismatch at index " + i,
+          Double.doubleToRawLongBits(input[i]),
+          Double.doubleToRawLongBits(output[i]));
+    }
+  }
+
+  // ========== Bit packing helpers ==========
+
+  @Test
+  public void testPackUnpackInts() {
+    int[] values = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15};
+    int bitWidth = 4;
+    byte[] packed = new byte[AlpEncoderDecoder.bitPackedSize(values.length, bitWidth)];
+    AlpCompression.packInts(values, values.length, bitWidth, packed);
+
+    int[] unpacked = new int[values.length];
+    AlpCompression.unpackInts(packed, values.length, bitWidth, unpacked);
+    assertArrayEquals(values, unpacked);
+  }
+
+  @Test
+  public void testPackUnpackIntsNonMultipleOf8() {
+    int[] values = {5, 10, 15, 20, 25};
+    int bitWidth = 5;
+    byte[] packed = new byte[AlpEncoderDecoder.bitPackedSize(values.length, bitWidth)];
+    AlpCompression.packInts(values, values.length, bitWidth, packed);
+
+    int[] unpacked = new int[values.length];
+    AlpCompression.unpackInts(packed, values.length, bitWidth, unpacked);
+    assertArrayEquals(values, unpacked);
+  }
+
+  @Test
+  public void testPackUnpackLongs() {
+    long[] values = {0, 1, 2, 3, 4, 5, 6, 7, 100, 200, 300, 400, 500, 600, 700, 800};
+    int bitWidth = 10;
+    byte[] packed = new byte[AlpEncoderDecoder.bitPackedSize(values.length, bitWidth)];
+    AlpCompression.packLongs(values, values.length, bitWidth, packed);
+
+    long[] unpacked = new long[values.length];
+    AlpCompression.unpackLongs(packed, values.length, bitWidth, unpacked);
+    assertArrayEquals(values, unpacked);
+  }
+
+  @Test
+  public void testPackUnpackLongsNonMultipleOf8() {
+    long[] values = {10, 20, 30};
+    int bitWidth = 6;
+    byte[] packed = new byte[AlpEncoderDecoder.bitPackedSize(values.length, bitWidth)];
+    AlpCompression.packLongs(values, values.length, bitWidth, packed);
+
+    long[] unpacked = new long[values.length];
+    AlpCompression.unpackLongs(packed, values.length, bitWidth, unpacked);
+    assertArrayEquals(values, unpacked);
+  }
+}

From 9bb8a8622590b60cce1cce21ab5a6e48b6040608 Mon Sep 17 00:00:00 2001
From: Prateek Gaur <prateek.gaur@snowflake.com>
Date: Sat, 7 Mar 2026 18:03:04 +0000
Subject: [PATCH 04/24] ALP: Add AlpSampler for sampling-based encoding preset
 generation

Implements FloatSampler and DoubleSampler that collect representative
samples from input data and generate AlpEncodingPreset with the best
(exponent, factor) combinations. Matches C++ AlpSampler behavior:
equidistant vector sampling, compressed-size estimation, and top-k
combination selection.
---
 .../parquet/column/values/alp/AlpSampler.java | 349 ++++++++++++++++++
 .../column/values/alp/AlpSamplerTest.java     | 195 ++++++++++
 2 files changed, 544 insertions(+)
 create mode 100644 parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpSampler.java
 create mode 100644 parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpSamplerTest.java

diff --git a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpSampler.java b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpSampler.java
new file mode 100644
index 0000000000..20a9f3ac67
--- /dev/null
+++ b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpSampler.java
@@ -0,0 +1,349 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+package org.apache.parquet.column.values.alp;
+
+import static org.apache.parquet.column.values.alp.AlpConstants.*;
+
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+
+/**
+ * ALP sampler that collects representative samples and generates encoding presets.
+ *
+ * <p>Usage: call {@code addSample()} to feed data, then {@code finalize()} to get the preset.
+ * Mirrors C++ {@code AlpSampler<T>} with separate inner classes for float and double.
+ */
+final class AlpSampler {
+
+  private AlpSampler() {}
+
+  // ========== FloatSampler ==========
+
+  static final class FloatSampler {
+    private final long sampleVectorSize = SAMPLER_VECTOR_SIZE;
+    private final long rowgroupSize = SAMPLER_ROWGROUP_SIZE;
+    private final long samplesPerVector = SAMPLER_SAMPLES_PER_VECTOR;
+    private final long sampleVectorsPerRowgroup = SAMPLER_SAMPLE_VECTORS_PER_ROWGROUP;
+    private final long rowgroupSampleJump;
+
+    private long vectorsSampledCount;
+    private long totalValuesCount;
+    private long vectorsCount;
+    private final List<float[]> rowgroupSample = new ArrayList<>();
+
+    FloatSampler() {
+      rowgroupSampleJump = (rowgroupSize / sampleVectorsPerRowgroup) / sampleVectorSize;
+    }
+
+    /** Add a sample of arbitrary size (split into vectors internally). */
+    void addSample(float[] data, int count) {
+      for (int i = 0; i < count; i += (int) sampleVectorSize) {
+        int elements = (int) Math.min(count - i, sampleVectorSize);
+        addSampleVector(data, i, elements);
+      }
+    }
+
+    private void addSampleVector(float[] data, int offset, int length) {
+      boolean mustSkip = mustSkipSamplingFromCurrentVector(
+          vectorsCount, vectorsSampledCount, length);
+      vectorsCount++;
+      totalValuesCount += length;
+      if (mustSkip) {
+        return;
+      }
+
+      int numLookup = (int) Math.min(length, DEFAULT_VECTOR_SIZE);
+      int increment = (int) Math.max(1, (int) Math.ceil((double) numLookup / samplesPerVector));
+
+      // Take equidistant subsample
+      List<Float> sample = new ArrayList<>();
+      for (int i = 0; i < numLookup; i += increment) {
+        sample.add(data[offset + i]);
+      }
+
+      float[] sampleArray = new float[sample.size()];
+      for (int i = 0; i < sample.size(); i++) {
+        sampleArray[i] = sample.get(i);
+      }
+
+      rowgroupSample.add(sampleArray);
+      vectorsSampledCount++;
+    }
+
+    private boolean mustSkipSamplingFromCurrentVector(
+        long vectorsCount, long vectorsSampledCount, int currentVectorSize) {
+      if ((vectorsCount % rowgroupSampleJump) != 0) {
+        return true;
+      }
+      return currentVectorSize < SAMPLER_SAMPLES_PER_VECTOR && vectorsSampledCount != 0;
+    }
+
+    /** Finalize sampling and return the encoding preset. */
+    AlpCompression.AlpEncodingPreset finalizeSampling() {
+      return createFloatEncodingPreset(rowgroupSample);
+    }
+  }
+
+  // ========== DoubleSampler ==========
+
+  static final class DoubleSampler {
+    private final long sampleVectorSize = SAMPLER_VECTOR_SIZE;
+    private final long rowgroupSize = SAMPLER_ROWGROUP_SIZE;
+    private final long samplesPerVector = SAMPLER_SAMPLES_PER_VECTOR;
+    private final long sampleVectorsPerRowgroup = SAMPLER_SAMPLE_VECTORS_PER_ROWGROUP;
+    private final long rowgroupSampleJump;
+
+    private long vectorsSampledCount;
+    private long totalValuesCount;
+    private long vectorsCount;
+    private final List<double[]> rowgroupSample = new ArrayList<>();
+
+    DoubleSampler() {
+      rowgroupSampleJump = (rowgroupSize / sampleVectorsPerRowgroup) / sampleVectorSize;
+    }
+
+    void addSample(double[] data, int count) {
+      for (int i = 0; i < count; i += (int) sampleVectorSize) {
+        int elements = (int) Math.min(count - i, sampleVectorSize);
+        addSampleVector(data, i, elements);
+      }
+    }
+
+    private void addSampleVector(double[] data, int offset, int length) {
+      boolean mustSkip = mustSkipSamplingFromCurrentVector(
+          vectorsCount, vectorsSampledCount, length);
+      vectorsCount++;
+      totalValuesCount += length;
+      if (mustSkip) {
+        return;
+      }
+
+      int numLookup = (int) Math.min(length, DEFAULT_VECTOR_SIZE);
+      int increment = (int) Math.max(1, (int) Math.ceil((double) numLookup / samplesPerVector));
+
+      List<Double> sample = new ArrayList<>();
+      for (int i = 0; i < numLookup; i += increment) {
+        sample.add(data[offset + i]);
+      }
+
+      double[] sampleArray = new double[sample.size()];
+      for (int i = 0; i < sample.size(); i++) {
+        sampleArray[i] = sample.get(i);
+      }
+
+      rowgroupSample.add(sampleArray);
+      vectorsSampledCount++;
+    }
+
+    private boolean mustSkipSamplingFromCurrentVector(
+        long vectorsCount, long vectorsSampledCount, int currentVectorSize) {
+      if ((vectorsCount % rowgroupSampleJump) != 0) {
+        return true;
+      }
+      return currentVectorSize < SAMPLER_SAMPLES_PER_VECTOR && vectorsSampledCount != 0;
+    }
+
+    AlpCompression.AlpEncodingPreset finalizeSampling() {
+      return createDoubleEncodingPreset(rowgroupSample);
+    }
+  }
+
+  // ========== CreateEncodingPreset (float) ==========
+
+  /**
+   * Estimate compressed size in bits for a given (exponent, factor) on sample data.
+   * Returns -1 if the combination yields almost all exceptions (< 2 non-exceptions).
+   */
+  private static long estimateFloatCompressedSize(
+      float[] sample, int exponent, int factor, boolean penalizeExceptions) {
+    int minEncoded = Integer.MAX_VALUE;
+    int maxEncoded = Integer.MIN_VALUE;
+    int numExceptions = 0;
+    int numNonExceptions = 0;
+
+    for (float value : sample) {
+      int encoded = AlpEncoderDecoder.encodeFloat(value, exponent, factor);
+      float decoded = AlpEncoderDecoder.decodeFloat(encoded, exponent, factor);
+      if (Float.floatToRawIntBits(decoded) == Float.floatToRawIntBits(value)) {
+        numNonExceptions++;
+        if (encoded < minEncoded) minEncoded = encoded;
+        if (encoded > maxEncoded) maxEncoded = encoded;
+      } else {
+        numExceptions++;
+      }
+    }
+
+    if (penalizeExceptions && numNonExceptions < 2) {
+      return -1;
+    }
+
+    long delta;
+    if (numNonExceptions >= 2) {
+      // Unsigned difference
+      delta = Integer.toUnsignedLong(maxEncoded) - Integer.toUnsignedLong(minEncoded);
+    } else {
+      delta = 0;
+    }
+    int bitsPerValue = (delta == 0) ? 0 : (64 - Long.numberOfLeadingZeros(delta));
+    long estimatedSize = (long) sample.length * bitsPerValue;
+    estimatedSize += (long) numExceptions * (32 + POSITION_SIZE * 8);
+    return estimatedSize;
+  }
+
+  static AlpCompression.AlpEncodingPreset createFloatEncodingPreset(
+      List<float[]> vectorsSampled) {
+    // For each sampled vector, find the best (e,f) combo by estimated compressed size.
+    // Count how many times each best combo appears across all sampled vectors.
+    Map<Long, int[]> bestCombosCount = new HashMap<>(); // key = e<<8|f, value = [count]
+
+    for (float[] sample : vectorsSampled) {
+      long bestSize = Long.MAX_VALUE;
+      int bestE = FLOAT_MAX_EXPONENT;
+      int bestF = FLOAT_MAX_EXPONENT;
+
+      for (int e = 0; e <= FLOAT_MAX_EXPONENT; e++) {
+        for (int f = 0; f <= e; f++) {
+          long size = estimateFloatCompressedSize(sample, e, f, true);
+          if (size < 0) continue;
+          if (size < bestSize
+              || (size == bestSize && e > bestE)
+              || (size == bestSize && e == bestE && f > bestF)) {
+            bestSize = size;
+            bestE = e;
+            bestF = f;
+          }
+        }
+      }
+      long key = ((long) bestE << 8) | bestF;
+      bestCombosCount.computeIfAbsent(key, k -> new int[1])[0]++;
+    }
+
+    // Sort by appearance count (descending), then by exponent/factor (descending)
+    List<Map.Entry<Long, int[]>> sorted = new ArrayList<>(bestCombosCount.entrySet());
+    sorted.sort((a, b) -> {
+      int cmpCount = Integer.compare(b.getValue()[0], a.getValue()[0]);
+      if (cmpCount != 0) return cmpCount;
+      int eA = (int) (a.getKey() >> 8);
+      int fA = (int) (a.getKey() & 0xFF);
+      int eB = (int) (b.getKey() >> 8);
+      int fB = (int) (b.getKey() & 0xFF);
+      if (eA != eB) return Integer.compare(eB, eA);
+      return Integer.compare(fB, fA);
+    });
+
+    int k = Math.min(MAX_COMBINATIONS, sorted.size());
+    int[][] combinations = new int[k][2];
+    for (int i = 0; i < k; i++) {
+      long key = sorted.get(i).getKey();
+      combinations[i][0] = (int) (key >> 8);
+      combinations[i][1] = (int) (key & 0xFF);
+    }
+    return new AlpCompression.AlpEncodingPreset(combinations);
+  }
+
+  // ========== CreateEncodingPreset (double) ==========
+
+  private static long estimateDoubleCompressedSize(
+      double[] sample, int exponent, int factor, boolean penalizeExceptions) {
+    long minEncoded = Long.MAX_VALUE;
+    long maxEncoded = Long.MIN_VALUE;
+    int numExceptions = 0;
+    int numNonExceptions = 0;
+
+    for (double value : sample) {
+      long encoded = AlpEncoderDecoder.encodeDouble(value, exponent, factor);
+      double decoded = AlpEncoderDecoder.decodeDouble(encoded, exponent, factor);
+      if (Double.doubleToRawLongBits(decoded) == Double.doubleToRawLongBits(value)) {
+        numNonExceptions++;
+        if (encoded < minEncoded) minEncoded = encoded;
+        if (encoded > maxEncoded) maxEncoded = encoded;
+      } else {
+        numExceptions++;
+      }
+    }
+
+    if (penalizeExceptions && numNonExceptions < 2) {
+      return -1;
+    }
+
+    // For bit width: unsigned difference. Use Long.compareUnsigned logic.
+    int bitsPerValue;
+    if (numNonExceptions < 2) {
+      bitsPerValue = 0;
+    } else {
+      // Unsigned subtraction: maxEncoded - minEncoded as unsigned
+      long delta = maxEncoded - minEncoded;
+      bitsPerValue = (delta == 0) ? 0 : (64 - Long.numberOfLeadingZeros(delta));
+    }
+    long estimatedSize = (long) sample.length * bitsPerValue;
+    estimatedSize += (long) numExceptions * (64 + POSITION_SIZE * 8);
+    return estimatedSize;
+  }
+
+  static AlpCompression.AlpEncodingPreset createDoubleEncodingPreset(
+      List<double[]> vectorsSampled) {
+    Map<Long, int[]> bestCombosCount = new HashMap<>();
+
+    for (double[] sample : vectorsSampled) {
+      long bestSize = Long.MAX_VALUE;
+      int bestE = DOUBLE_MAX_EXPONENT;
+      int bestF = DOUBLE_MAX_EXPONENT;
+
+      for (int e = 0; e <= DOUBLE_MAX_EXPONENT; e++) {
+        for (int f = 0; f <= e; f++) {
+          long size = estimateDoubleCompressedSize(sample, e, f, true);
+          if (size < 0) continue;
+          if (size < bestSize
+              || (size == bestSize && e > bestE)
+              || (size == bestSize && e == bestE && f > bestF)) {
+            bestSize = size;
+            bestE = e;
+            bestF = f;
+          }
+        }
+      }
+      long key = ((long) bestE << 8) | bestF;
+      bestCombosCount.computeIfAbsent(key, k -> new int[1])[0]++;
+    }
+
+    List<Map.Entry<Long, int[]>> sorted = new ArrayList<>(bestCombosCount.entrySet());
+    sorted.sort((a, b) -> {
+      int cmpCount = Integer.compare(b.getValue()[0], a.getValue()[0]);
+      if (cmpCount != 0) return cmpCount;
+      int eA = (int) (a.getKey() >> 8);
+      int fA = (int) (a.getKey() & 0xFF);
+      int eB = (int) (b.getKey() >> 8);
+      int fB = (int) (b.getKey() & 0xFF);
+      if (eA != eB) return Integer.compare(eB, eA);
+      return Integer.compare(fB, fA);
+    });
+
+    int k = Math.min(MAX_COMBINATIONS, sorted.size());
+    int[][] combinations = new int[k][2];
+    for (int i = 0; i < k; i++) {
+      long key = sorted.get(i).getKey();
+      combinations[i][0] = (int) (key >> 8);
+      combinations[i][1] = (int) (key & 0xFF);
+    }
+    return new AlpCompression.AlpEncodingPreset(combinations);
+  }
+}
diff --git a/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpSamplerTest.java b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpSamplerTest.java
new file mode 100644
index 0000000000..1073144a61
--- /dev/null
+++ b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpSamplerTest.java
@@ -0,0 +1,195 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+package org.apache.parquet.column.values.alp;
+
+import static org.junit.Assert.*;
+
+import java.util.Random;
+import org.junit.Test;
+
+public class AlpSamplerTest {
+
+  // ========== Float sampler ==========
+
+  @Test
+  public void testFloatDecimalData() {
+    // 2-decimal-place data should pick exponent=2, factor=0
+    float[] data = new float[5000];
+    for (int i = 0; i < data.length; i++) {
+      data[i] = i * 0.01f;
+    }
+    AlpSampler.FloatSampler sampler = new AlpSampler.FloatSampler();
+    sampler.addSample(data, data.length);
+    AlpCompression.AlpEncodingPreset preset = sampler.finalizeSampling();
+
+    assertNotNull(preset.combinations);
+    assertTrue(preset.combinations.length >= 1);
+    assertTrue(preset.combinations.length <= AlpConstants.MAX_COMBINATIONS);
+  }
+
+  @Test
+  public void testFloatIntegerData() {
+    float[] data = new float[5000];
+    for (int i = 0; i < data.length; i++) {
+      data[i] = i;
+    }
+    AlpSampler.FloatSampler sampler = new AlpSampler.FloatSampler();
+    sampler.addSample(data, data.length);
+    AlpCompression.AlpEncodingPreset preset = sampler.finalizeSampling();
+
+    assertNotNull(preset.combinations);
+    assertTrue(preset.combinations.length >= 1);
+    // For integer data, any (e,e) combo works since multiplier = 10^e/10^e = 1.
+    // Tiebreaker prefers bigger exponents, matching C++ behavior.
+    int bestE = preset.combinations[0][0];
+    int bestF = preset.combinations[0][1];
+    assertEquals("Integer data: exponent should equal factor", bestE, bestF);
+  }
+
+  @Test
+  public void testFloatPresetProducesValidRoundTrip() {
+    float[] data = new float[5000];
+    Random rng = new Random(42);
+    for (int i = 0; i < data.length; i++) {
+      data[i] = Math.round(rng.nextFloat() * 10000) / 100.0f;
+    }
+
+    AlpSampler.FloatSampler sampler = new AlpSampler.FloatSampler();
+    sampler.addSample(data, data.length);
+    AlpCompression.AlpEncodingPreset preset = sampler.finalizeSampling();
+
+    // Compress and decompress a vector using the preset
+    int vectorSize = Math.min(1024, data.length);
+    float[] vector = new float[vectorSize];
+    System.arraycopy(data, 0, vector, 0, vectorSize);
+
+    AlpCompression.FloatCompressedVector cv =
+        AlpCompression.compressFloatVector(vector, vectorSize, preset);
+    float[] output = new float[vectorSize];
+    AlpCompression.decompressFloatVector(cv, output);
+
+    for (int i = 0; i < vectorSize; i++) {
+      assertEquals(
+          "Mismatch at " + i,
+          Float.floatToRawIntBits(vector[i]),
+          Float.floatToRawIntBits(output[i]));
+    }
+  }
+
+  @Test
+  public void testFloatSmallDataset() {
+    // Fewer values than SAMPLER_VECTOR_SIZE
+    float[] data = {1.1f, 2.2f, 3.3f, 4.4f, 5.5f};
+    AlpSampler.FloatSampler sampler = new AlpSampler.FloatSampler();
+    sampler.addSample(data, data.length);
+    AlpCompression.AlpEncodingPreset preset = sampler.finalizeSampling();
+
+    assertNotNull(preset.combinations);
+    assertTrue(preset.combinations.length >= 1);
+  }
+
+  @Test
+  public void testFloatMultipleSamples() {
+    AlpSampler.FloatSampler sampler = new AlpSampler.FloatSampler();
+    for (int batch = 0; batch < 10; batch++) {
+      float[] data = new float[1000];
+      for (int i = 0; i < 1000; i++) {
+        data[i] = (batch * 1000 + i) * 0.1f;
+      }
+      sampler.addSample(data, data.length);
+    }
+    AlpCompression.AlpEncodingPreset preset = sampler.finalizeSampling();
+    assertNotNull(preset.combinations);
+    assertTrue(preset.combinations.length >= 1);
+  }
+
+  // ========== Double sampler ==========
+
+  @Test
+  public void testDoubleDecimalData() {
+    double[] data = new double[5000];
+    for (int i = 0; i < data.length; i++) {
+      data[i] = i * 0.01;
+    }
+    AlpSampler.DoubleSampler sampler = new AlpSampler.DoubleSampler();
+    sampler.addSample(data, data.length);
+    AlpCompression.AlpEncodingPreset preset = sampler.finalizeSampling();
+
+    assertNotNull(preset.combinations);
+    assertTrue(preset.combinations.length >= 1);
+    assertTrue(preset.combinations.length <= AlpConstants.MAX_COMBINATIONS);
+  }
+
+  @Test
+  public void testDoubleIntegerData() {
+    double[] data = new double[5000];
+    for (int i = 0; i < data.length; i++) {
+      data[i] = i;
+    }
+    AlpSampler.DoubleSampler sampler = new AlpSampler.DoubleSampler();
+    sampler.addSample(data, data.length);
+    AlpCompression.AlpEncodingPreset preset = sampler.finalizeSampling();
+
+    assertNotNull(preset.combinations);
+    assertTrue(preset.combinations.length >= 1);
+    int bestE = preset.combinations[0][0];
+    int bestF = preset.combinations[0][1];
+    assertEquals("Integer data: exponent should equal factor", bestE, bestF);
+  }
+
+  @Test
+  public void testDoublePresetProducesValidRoundTrip() {
+    double[] data = new double[5000];
+    Random rng = new Random(42);
+    for (int i = 0; i < data.length; i++) {
+      data[i] = Math.round(rng.nextDouble() * 10000) / 100.0;
+    }
+
+    AlpSampler.DoubleSampler sampler = new AlpSampler.DoubleSampler();
+    sampler.addSample(data, data.length);
+    AlpCompression.AlpEncodingPreset preset = sampler.finalizeSampling();
+
+    int vectorSize = Math.min(1024, data.length);
+    double[] vector = new double[vectorSize];
+    System.arraycopy(data, 0, vector, 0, vectorSize);
+
+    AlpCompression.DoubleCompressedVector cv =
+        AlpCompression.compressDoubleVector(vector, vectorSize, preset);
+    double[] output = new double[vectorSize];
+    AlpCompression.decompressDoubleVector(cv, output);
+
+    for (int i = 0; i < vectorSize; i++) {
+      assertEquals(
+          "Mismatch at " + i,
+          Double.doubleToRawLongBits(vector[i]),
+          Double.doubleToRawLongBits(output[i]));
+    }
+  }
+
+  @Test
+  public void testDoubleSmallDataset() {
+    double[] data = {1.1, 2.2, 3.3, 4.4, 5.5};
+    AlpSampler.DoubleSampler sampler = new AlpSampler.DoubleSampler();
+    sampler.addSample(data, data.length);
+    AlpCompression.AlpEncodingPreset preset = sampler.finalizeSampling();
+
+    assertNotNull(preset.combinations);
+    assertTrue(preset.combinations.length >= 1);
+  }
+}

From 60607edd92985001d51a32e4e56d69154a0f22ef Mon Sep 17 00:00:00 2001
From: Prateek Gaur <prateek.gaur@snowflake.com>
Date: Sat, 7 Mar 2026 18:36:24 +0000
Subject: [PATCH 05/24] ALP: Add AlpWrapper for page-level encode/decode with
 7-byte header

Public API for encoding/decoding full ALP pages. Layout:
[Header(7B)][Offsets...][Vector0][Vector1]...
Header: [compression_mode(1B)][integer_encoding(1B)][log_vector_size(1B)][num_elements(4B)]
Supports sampling presets, max size estimation, and multi-vector pages.
---
 .../parquet/column/values/alp/AlpWrapper.java | 333 ++++++++++++++++++
 .../column/values/alp/AlpWrapperTest.java     | 233 ++++++++++++
 2 files changed, 566 insertions(+)
 create mode 100644 parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpWrapper.java
 create mode 100644 parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpWrapperTest.java

diff --git a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpWrapper.java b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpWrapper.java
new file mode 100644
index 0000000000..d66861e017
--- /dev/null
+++ b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpWrapper.java
@@ -0,0 +1,333 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+package org.apache.parquet.column.values.alp;
+
+import static org.apache.parquet.column.values.alp.AlpConstants.*;
+
+import java.nio.ByteBuffer;
+import java.nio.ByteOrder;
+import java.util.ArrayList;
+import java.util.List;
+import org.apache.parquet.Preconditions;
+
+/**
+ * Top-level API for ALP page-level encoding and decoding.
+ *
+ * <p>Page layout (offset-based interleaved, matching C++ AlpWrapper):
+ * <pre>
+ * [Header(7B)][Offset0..OffsetN-1][Vector0][Vector1]...[VectorN-1]
+ * </pre>
+ * where each Vector = [AlpInfo(4B)][ForInfo(5B/9B)][PackedValues][ExcPositions][ExcValues]
+ *
+ * <p>Header format (7 bytes, little-endian):
+ * <pre>
+ * [compression_mode(1B)][integer_encoding(1B)][log_vector_size(1B)][num_elements(4B LE)]
+ * </pre>
+ */
+public final class AlpWrapper {
+
+  private AlpWrapper() {}
+
+  // ========== Sampling presets ==========
+
+  /** Create a sampling-based encoding preset for float data. */
+  public static AlpCompression.AlpEncodingPreset createFloatSamplingPreset(
+      float[] data, int count) {
+    AlpSampler.FloatSampler sampler = new AlpSampler.FloatSampler();
+    sampler.addSample(data, count);
+    return sampler.finalizeSampling();
+  }
+
+  /** Create a sampling-based encoding preset for double data. */
+  public static AlpCompression.AlpEncodingPreset createDoubleSamplingPreset(
+      double[] data, int count) {
+    AlpSampler.DoubleSampler sampler = new AlpSampler.DoubleSampler();
+    sampler.addSample(data, count);
+    return sampler.finalizeSampling();
+  }
+
+  // ========== Encode floats ==========
+
+  /**
+   * Encode float data into ALP compressed page format.
+   *
+   * @param input the float values to encode
+   * @param count number of values
+   * @param output output byte array (must be at least maxCompressedSizeFloat(count) bytes)
+   * @param preset the encoding preset from sampling
+   * @return the number of compressed bytes written
+   */
+  public static int encodeFloats(
+      float[] input, int count, byte[] output, AlpCompression.AlpEncodingPreset preset) {
+    Preconditions.checkArgument(count >= 0, "count must be non-negative, got: %s", count);
+    if (count == 0) {
+      writeHeader(output, 0, COMPRESSION_MODE_ALP, INTEGER_ENCODING_FOR,
+          DEFAULT_VECTOR_SIZE_LOG, 0);
+      return HEADER_SIZE;
+    }
+
+    int vectorSize = DEFAULT_VECTOR_SIZE;
+    int numVectors = (count + vectorSize - 1) / vectorSize;
+
+    // Phase 1: Compress all vectors
+    List<AlpCompression.FloatCompressedVector> vectors = new ArrayList<>(numVectors);
+    for (int i = 0; i < numVectors; i++) {
+      int offset = i * vectorSize;
+      int elementsInVector = Math.min(vectorSize, count - offset);
+      float[] vectorInput = new float[elementsInVector];
+      System.arraycopy(input, offset, vectorInput, 0, elementsInVector);
+      vectors.add(AlpCompression.compressFloatVector(vectorInput, elementsInVector, preset));
+    }
+
+    // Phase 2: Calculate offsets
+    int offsetsSectionSize = numVectors * OFFSET_SIZE;
+    int[] vectorOffsets = new int[numVectors];
+    int currentOffset = offsetsSectionSize;
+    for (int i = 0; i < numVectors; i++) {
+      vectorOffsets[i] = currentOffset;
+      currentOffset += ALP_INFO_SIZE + FLOAT_FOR_INFO_SIZE + vectors.get(i).dataStoredSize();
+    }
+    int bodySize = currentOffset;
+    int totalSize = HEADER_SIZE + bodySize;
+
+    // Phase 3: Write header
+    writeHeader(output, 0, COMPRESSION_MODE_ALP, INTEGER_ENCODING_FOR,
+        DEFAULT_VECTOR_SIZE_LOG, count);
+
+    // Phase 4: Write offsets
+    ByteBuffer buf = ByteBuffer.wrap(output, HEADER_SIZE, bodySize).order(ByteOrder.LITTLE_ENDIAN);
+    for (int offset : vectorOffsets) {
+      buf.putInt(offset);
+    }
+
+    // Phase 5: Write interleaved vectors
+    for (int i = 0; i < numVectors; i++) {
+      AlpCompression.FloatCompressedVector v = vectors.get(i);
+      int pos = HEADER_SIZE + vectorOffsets[i];
+      v.store(output, pos);
+    }
+
+    return totalSize;
+  }
+
+  // ========== Encode doubles ==========
+
+  public static int encodeDoubles(
+      double[] input, int count, byte[] output, AlpCompression.AlpEncodingPreset preset) {
+    Preconditions.checkArgument(count >= 0, "count must be non-negative, got: %s", count);
+    if (count == 0) {
+      writeHeader(output, 0, COMPRESSION_MODE_ALP, INTEGER_ENCODING_FOR,
+          DEFAULT_VECTOR_SIZE_LOG, 0);
+      return HEADER_SIZE;
+    }
+
+    int vectorSize = DEFAULT_VECTOR_SIZE;
+    int numVectors = (count + vectorSize - 1) / vectorSize;
+
+    List<AlpCompression.DoubleCompressedVector> vectors = new ArrayList<>(numVectors);
+    for (int i = 0; i < numVectors; i++) {
+      int offset = i * vectorSize;
+      int elementsInVector = Math.min(vectorSize, count - offset);
+      double[] vectorInput = new double[elementsInVector];
+      System.arraycopy(input, offset, vectorInput, 0, elementsInVector);
+      vectors.add(
+          AlpCompression.compressDoubleVector(vectorInput, elementsInVector, preset));
+    }
+
+    int offsetsSectionSize = numVectors * OFFSET_SIZE;
+    int[] vectorOffsets = new int[numVectors];
+    int currentOffset = offsetsSectionSize;
+    for (int i = 0; i < numVectors; i++) {
+      vectorOffsets[i] = currentOffset;
+      currentOffset +=
+          ALP_INFO_SIZE + DOUBLE_FOR_INFO_SIZE + vectors.get(i).dataStoredSize();
+    }
+    int bodySize = currentOffset;
+    int totalSize = HEADER_SIZE + bodySize;
+
+    writeHeader(output, 0, COMPRESSION_MODE_ALP, INTEGER_ENCODING_FOR,
+        DEFAULT_VECTOR_SIZE_LOG, count);
+
+    ByteBuffer buf = ByteBuffer.wrap(output, HEADER_SIZE, bodySize).order(ByteOrder.LITTLE_ENDIAN);
+    for (int offset : vectorOffsets) {
+      buf.putInt(offset);
+    }
+
+    for (int i = 0; i < numVectors; i++) {
+      AlpCompression.DoubleCompressedVector v = vectors.get(i);
+      int pos = HEADER_SIZE + vectorOffsets[i];
+      v.store(output, pos);
+    }
+
+    return totalSize;
+  }
+
+  // ========== Decode floats ==========
+
+  /**
+   * Decode ALP compressed page to float values.
+   *
+   * @param compressed the compressed page bytes
+   * @param compSize number of compressed bytes
+   * @param output output float array (must hold numElements values)
+   * @param numElements number of elements to decode
+   */
+  public static void decodeFloats(
+      byte[] compressed, int compSize, float[] output, int numElements) {
+    Preconditions.checkArgument(compSize >= HEADER_SIZE,
+        "compressed size too small for header: %s", compSize);
+
+    ByteBuffer header = ByteBuffer.wrap(compressed, 0, HEADER_SIZE).order(ByteOrder.LITTLE_ENDIAN);
+    int compressionMode = header.get() & 0xFF;
+    int integerEncoding = header.get() & 0xFF;
+    int logVectorSize = header.get() & 0xFF;
+    int storedNumElements = header.getInt();
+
+    Preconditions.checkArgument(compressionMode == COMPRESSION_MODE_ALP,
+        "unsupported compression mode: %s", compressionMode);
+    Preconditions.checkArgument(integerEncoding == INTEGER_ENCODING_FOR,
+        "unsupported integer encoding: %s", integerEncoding);
+
+    int vectorSize = 1 << logVectorSize;
+    int numVectors = (storedNumElements + vectorSize - 1) / vectorSize;
+
+    if (numVectors == 0) return;
+
+    // Read offsets
+    ByteBuffer body = ByteBuffer.wrap(compressed, HEADER_SIZE, compSize - HEADER_SIZE)
+        .order(ByteOrder.LITTLE_ENDIAN);
+    int[] vectorOffsets = new int[numVectors];
+    for (int i = 0; i < numVectors; i++) {
+      vectorOffsets[i] = body.getInt();
+    }
+
+    // Decode each vector
+    int outputOffset = 0;
+    for (int vi = 0; vi < numVectors; vi++) {
+      int elementsInVector;
+      if (vi < storedNumElements / vectorSize) {
+        elementsInVector = vectorSize;
+      } else {
+        elementsInVector = storedNumElements % vectorSize;
+        if (elementsInVector == 0) elementsInVector = vectorSize;
+      }
+
+      int vectorPos = HEADER_SIZE + vectorOffsets[vi];
+      AlpCompression.FloatCompressedVector cv =
+          AlpCompression.FloatCompressedVector.load(compressed, vectorPos, elementsInVector);
+
+      float[] vectorOutput = new float[elementsInVector];
+      AlpCompression.decompressFloatVector(cv, vectorOutput);
+      System.arraycopy(vectorOutput, 0, output, outputOffset,
+          Math.min(elementsInVector, numElements - outputOffset));
+      outputOffset += elementsInVector;
+    }
+  }
+
+  // ========== Decode doubles ==========
+
+  public static void decodeDoubles(
+      byte[] compressed, int compSize, double[] output, int numElements) {
+    Preconditions.checkArgument(compSize >= HEADER_SIZE,
+        "compressed size too small for header: %s", compSize);
+
+    ByteBuffer header = ByteBuffer.wrap(compressed, 0, HEADER_SIZE).order(ByteOrder.LITTLE_ENDIAN);
+    int compressionMode = header.get() & 0xFF;
+    int integerEncoding = header.get() & 0xFF;
+    int logVectorSize = header.get() & 0xFF;
+    int storedNumElements = header.getInt();
+
+    Preconditions.checkArgument(compressionMode == COMPRESSION_MODE_ALP,
+        "unsupported compression mode: %s", compressionMode);
+    Preconditions.checkArgument(integerEncoding == INTEGER_ENCODING_FOR,
+        "unsupported integer encoding: %s", integerEncoding);
+
+    int vectorSize = 1 << logVectorSize;
+    int numVectors = (storedNumElements + vectorSize - 1) / vectorSize;
+
+    if (numVectors == 0) return;
+
+    ByteBuffer body = ByteBuffer.wrap(compressed, HEADER_SIZE, compSize - HEADER_SIZE)
+        .order(ByteOrder.LITTLE_ENDIAN);
+    int[] vectorOffsets = new int[numVectors];
+    for (int i = 0; i < numVectors; i++) {
+      vectorOffsets[i] = body.getInt();
+    }
+
+    int outputOffset = 0;
+    for (int vi = 0; vi < numVectors; vi++) {
+      int elementsInVector;
+      if (vi < storedNumElements / vectorSize) {
+        elementsInVector = vectorSize;
+      } else {
+        elementsInVector = storedNumElements % vectorSize;
+        if (elementsInVector == 0) elementsInVector = vectorSize;
+      }
+
+      int vectorPos = HEADER_SIZE + vectorOffsets[vi];
+      AlpCompression.DoubleCompressedVector cv =
+          AlpCompression.DoubleCompressedVector.load(compressed, vectorPos, elementsInVector);
+
+      double[] vectorOutput = new double[elementsInVector];
+      AlpCompression.decompressDoubleVector(cv, vectorOutput);
+      System.arraycopy(vectorOutput, 0, output, outputOffset,
+          Math.min(elementsInVector, numElements - outputOffset));
+      outputOffset += elementsInVector;
+    }
+  }
+
+  // ========== Max compressed size ==========
+
+  /** Maximum compressed size for float data of given element count. */
+  public static long maxCompressedSizeFloat(int numElements) {
+    long size = HEADER_SIZE;
+    long numVectors = (numElements + DEFAULT_VECTOR_SIZE - 1) / DEFAULT_VECTOR_SIZE;
+    size += numVectors * OFFSET_SIZE;
+    size += numVectors * (ALP_INFO_SIZE + FLOAT_FOR_INFO_SIZE);
+    // Worst case: all values bit-packed at full width + all exceptions
+    size += (long) numElements * Float.BYTES; // packed values worst case
+    size += (long) numElements * Float.BYTES; // exception values
+    size += (long) numElements * POSITION_SIZE; // exception positions
+    return size;
+  }
+
+  /** Maximum compressed size for double data of given element count. */
+  public static long maxCompressedSizeDouble(int numElements) {
+    long size = HEADER_SIZE;
+    long numVectors = (numElements + DEFAULT_VECTOR_SIZE - 1) / DEFAULT_VECTOR_SIZE;
+    size += numVectors * OFFSET_SIZE;
+    size += numVectors * (ALP_INFO_SIZE + DOUBLE_FOR_INFO_SIZE);
+    size += (long) numElements * Double.BYTES;
+    size += (long) numElements * Double.BYTES;
+    size += (long) numElements * POSITION_SIZE;
+    return size;
+  }
+
+  // ========== Header helpers ==========
+
+  private static void writeHeader(
+      byte[] output, int offset, int compressionMode, int integerEncoding,
+      int logVectorSize, int numElements) {
+    ByteBuffer buf = ByteBuffer.wrap(output, offset, HEADER_SIZE).order(ByteOrder.LITTLE_ENDIAN);
+    buf.put((byte) compressionMode);
+    buf.put((byte) integerEncoding);
+    buf.put((byte) logVectorSize);
+    buf.putInt(numElements);
+  }
+}
diff --git a/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpWrapperTest.java b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpWrapperTest.java
new file mode 100644
index 0000000000..d3132c8df7
--- /dev/null
+++ b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpWrapperTest.java
@@ -0,0 +1,233 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+package org.apache.parquet.column.values.alp;
+
+import static org.junit.Assert.*;
+
+import java.nio.ByteBuffer;
+import java.nio.ByteOrder;
+import java.util.Random;
+import org.junit.Test;
+
+public class AlpWrapperTest {
+
+  // ========== Float round-trip ==========
+
+  private static void assertFloatPageRoundTrip(float[] input) {
+    AlpCompression.AlpEncodingPreset preset =
+        AlpWrapper.createFloatSamplingPreset(input, input.length);
+    byte[] compressed = new byte[(int) AlpWrapper.maxCompressedSizeFloat(input.length)];
+    int compSize = AlpWrapper.encodeFloats(input, input.length, compressed, preset);
+    assertTrue(compSize > 0);
+    assertTrue(compSize <= compressed.length);
+
+    float[] output = new float[input.length];
+    AlpWrapper.decodeFloats(compressed, compSize, output, input.length);
+
+    for (int i = 0; i < input.length; i++) {
+      assertEquals(
+          "Mismatch at index " + i,
+          Float.floatToRawIntBits(input[i]),
+          Float.floatToRawIntBits(output[i]));
+    }
+  }
+
+  @Test
+  public void testFloatSingleVector() {
+    float[] input = new float[100];
+    for (int i = 0; i < 100; i++) {
+      input[i] = i * 0.1f;
+    }
+    assertFloatPageRoundTrip(input);
+  }
+
+  @Test
+  public void testFloatMultipleVectors() {
+    // 2500 values = 2 full vectors (1024) + 1 partial (452)
+    float[] input = new float[2500];
+    for (int i = 0; i < 2500; i++) {
+      input[i] = i * 0.01f;
+    }
+    assertFloatPageRoundTrip(input);
+  }
+
+  @Test
+  public void testFloatExactVectorSize() {
+    float[] input = new float[AlpConstants.DEFAULT_VECTOR_SIZE];
+    for (int i = 0; i < input.length; i++) {
+      input[i] = i * 0.5f;
+    }
+    assertFloatPageRoundTrip(input);
+  }
+
+  @Test
+  public void testFloatExactTwoVectors() {
+    float[] input = new float[2 * AlpConstants.DEFAULT_VECTOR_SIZE];
+    for (int i = 0; i < input.length; i++) {
+      input[i] = (i % 100) * 0.3f;
+    }
+    assertFloatPageRoundTrip(input);
+  }
+
+  @Test
+  public void testFloatSpecialValues() {
+    float[] input = new float[20];
+    for (int i = 0; i < 20; i++) {
+      input[i] = i * 1.5f;
+    }
+    input[3] = Float.NaN;
+    input[7] = Float.POSITIVE_INFINITY;
+    input[11] = Float.NEGATIVE_INFINITY;
+    input[15] = -0.0f;
+    assertFloatPageRoundTrip(input);
+  }
+
+  @Test
+  public void testFloatEmptyInput() {
+    byte[] compressed = new byte[AlpConstants.HEADER_SIZE];
+    int compSize = AlpWrapper.encodeFloats(
+        new float[0], 0, compressed,
+        new AlpCompression.AlpEncodingPreset(new int[][] {{0, 0}}));
+    assertEquals(AlpConstants.HEADER_SIZE, compSize);
+  }
+
+  @Test
+  public void testFloatRandomLargeDataset() {
+    Random rng = new Random(42);
+    float[] input = new float[5000];
+    for (int i = 0; i < 5000; i++) {
+      input[i] = Math.round(rng.nextFloat() * 10000) / 100.0f;
+    }
+    assertFloatPageRoundTrip(input);
+  }
+
+  // ========== Double round-trip ==========
+
+  private static void assertDoublePageRoundTrip(double[] input) {
+    AlpCompression.AlpEncodingPreset preset =
+        AlpWrapper.createDoubleSamplingPreset(input, input.length);
+    byte[] compressed = new byte[(int) AlpWrapper.maxCompressedSizeDouble(input.length)];
+    int compSize = AlpWrapper.encodeDoubles(input, input.length, compressed, preset);
+    assertTrue(compSize > 0);
+
+    double[] output = new double[input.length];
+    AlpWrapper.decodeDoubles(compressed, compSize, output, input.length);
+
+    for (int i = 0; i < input.length; i++) {
+      assertEquals(
+          "Mismatch at index " + i,
+          Double.doubleToRawLongBits(input[i]),
+          Double.doubleToRawLongBits(output[i]));
+    }
+  }
+
+  @Test
+  public void testDoubleSingleVector() {
+    double[] input = new double[100];
+    for (int i = 0; i < 100; i++) {
+      input[i] = i * 0.1;
+    }
+    assertDoublePageRoundTrip(input);
+  }
+
+  @Test
+  public void testDoubleMultipleVectors() {
+    double[] input = new double[2500];
+    for (int i = 0; i < 2500; i++) {
+      input[i] = i * 0.01;
+    }
+    assertDoublePageRoundTrip(input);
+  }
+
+  @Test
+  public void testDoubleSpecialValues() {
+    double[] input = new double[20];
+    for (int i = 0; i < 20; i++) {
+      input[i] = i * 1.5;
+    }
+    input[3] = Double.NaN;
+    input[7] = Double.POSITIVE_INFINITY;
+    input[11] = Double.NEGATIVE_INFINITY;
+    input[15] = -0.0;
+    assertDoublePageRoundTrip(input);
+  }
+
+  @Test
+  public void testDoubleRandomLargeDataset() {
+    Random rng = new Random(42);
+    double[] input = new double[5000];
+    for (int i = 0; i < 5000; i++) {
+      input[i] = Math.round(rng.nextDouble() * 10000) / 100.0;
+    }
+    assertDoublePageRoundTrip(input);
+  }
+
+  // ========== Wire format verification ==========
+
+  @Test
+  public void testHeaderFormat() {
+    float[] input = {1.0f, 2.0f, 3.0f};
+    AlpCompression.AlpEncodingPreset preset =
+        AlpWrapper.createFloatSamplingPreset(input, input.length);
+    byte[] compressed = new byte[(int) AlpWrapper.maxCompressedSizeFloat(input.length)];
+    int compSize = AlpWrapper.encodeFloats(input, input.length, compressed, preset);
+
+    // Verify 7-byte header
+    ByteBuffer header =
+        ByteBuffer.wrap(compressed, 0, AlpConstants.HEADER_SIZE).order(ByteOrder.LITTLE_ENDIAN);
+    assertEquals(AlpConstants.COMPRESSION_MODE_ALP, header.get() & 0xFF);
+    assertEquals(AlpConstants.INTEGER_ENCODING_FOR, header.get() & 0xFF);
+    assertEquals(AlpConstants.DEFAULT_VECTOR_SIZE_LOG, header.get() & 0xFF);
+    assertEquals(3, header.getInt()); // num_elements
+  }
+
+  @Test
+  public void testOffsetLayout() {
+    // 2048 elements = 2 vectors
+    float[] input = new float[2048];
+    for (int i = 0; i < 2048; i++) {
+      input[i] = i * 0.5f;
+    }
+    AlpCompression.AlpEncodingPreset preset =
+        AlpWrapper.createFloatSamplingPreset(input, input.length);
+    byte[] compressed = new byte[(int) AlpWrapper.maxCompressedSizeFloat(input.length)];
+    AlpWrapper.encodeFloats(input, input.length, compressed, preset);
+
+    // After header (7B), offsets section should have 2 int offsets (8 bytes)
+    ByteBuffer body = ByteBuffer.wrap(compressed, AlpConstants.HEADER_SIZE,
+        compressed.length - AlpConstants.HEADER_SIZE).order(ByteOrder.LITTLE_ENDIAN);
+    int offset0 = body.getInt();
+    int offset1 = body.getInt();
+
+    // First vector starts right after offsets (2 * 4 = 8)
+    assertEquals(8, offset0);
+    // Second vector starts after first vector's data
+    assertTrue(offset1 > offset0);
+  }
+
+  // ========== Max compressed size ==========
+
+  @Test
+  public void testMaxCompressedSize() {
+    assertTrue(AlpWrapper.maxCompressedSizeFloat(0) >= AlpConstants.HEADER_SIZE);
+    assertTrue(AlpWrapper.maxCompressedSizeFloat(1024) > AlpConstants.HEADER_SIZE);
+    assertTrue(AlpWrapper.maxCompressedSizeDouble(0) >= AlpConstants.HEADER_SIZE);
+    assertTrue(AlpWrapper.maxCompressedSizeDouble(1024) > AlpConstants.HEADER_SIZE);
+  }
+}

From a2c3992c3c209e7663adee9840bc09729f2c70dc Mon Sep 17 00:00:00 2001
From: Prateek Gaur <prateek.gaur@snowflake.com>
Date: Sat, 7 Mar 2026 18:57:40 +0000
Subject: [PATCH 06/24] ALP: Add incremental AlpValuesWriter for float and
 double columns

Extends ValuesWriter with FloatAlpValuesWriter and DoubleAlpValuesWriter.
Buffers values into 1024-element vectors, compresses each when full,
and assembles the ALP page format on getBytes(). Sampling is done on
the first batch of values to generate the encoding preset.

Uses Encoding.PLAIN as placeholder until ALP is added to parquet-format.
---
 .../column/values/alp/AlpValuesWriter.java    | 363 ++++++++++++++++++
 .../values/alp/AlpValuesWriterTest.java       | 278 ++++++++++++++
 2 files changed, 641 insertions(+)
 create mode 100644 parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesWriter.java
 create mode 100644 parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpValuesWriterTest.java

diff --git a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesWriter.java b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesWriter.java
new file mode 100644
index 0000000000..e4e57a4d09
--- /dev/null
+++ b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesWriter.java
@@ -0,0 +1,363 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+package org.apache.parquet.column.values.alp;
+
+import static org.apache.parquet.column.values.alp.AlpConstants.*;
+
+import java.util.ArrayList;
+import java.util.List;
+import org.apache.parquet.bytes.BytesInput;
+import org.apache.parquet.column.Encoding;
+import org.apache.parquet.column.values.ValuesWriter;
+
+/**
+ * Incremental ALP values writer for float and double columns.
+ *
+ * <p>Buffers values into fixed-size vectors (default 1024). When a vector is full,
+ * it is compressed via {@link AlpCompression} and stored. On {@link #getBytes()},
+ * assembles the ALP page: [Header(7B)][Offsets...][Vector0][Vector1]...
+ *
+ * <p>Sampling: the first vector's data is used to create an encoding preset via
+ * {@link AlpSampler}. The preset is cached for subsequent vectors.
+ */
+public abstract class AlpValuesWriter extends ValuesWriter {
+
+  protected final int vectorSize;
+  protected int bufferedCount; // values in current partial vector
+  protected int totalCount; // total values written
+  protected final List<byte[]> encodedVectors = new ArrayList<>();
+  protected final List<Integer> encodedVectorSizes = new ArrayList<>();
+  protected AlpCompression.AlpEncodingPreset preset;
+  protected boolean presetReady;
+
+  protected AlpValuesWriter(int vectorSize) {
+    this.vectorSize = AlpConstants.validateVectorSize(vectorSize);
+  }
+
+  protected AlpValuesWriter() {
+    this(DEFAULT_VECTOR_SIZE);
+  }
+
+  // TODO: Replace with Encoding.ALP once ALP is added to parquet-format Thrift spec.
+  @Override
+  public Encoding getEncoding() {
+    return Encoding.PLAIN;
+  }
+
+  @Override
+  public void reset() {
+    bufferedCount = 0;
+    totalCount = 0;
+    encodedVectors.clear();
+    encodedVectorSizes.clear();
+    preset = null;
+    presetReady = false;
+    resetVectorBuffer();
+  }
+
+  protected abstract void resetVectorBuffer();
+
+  @Override
+  public void close() {
+    reset();
+  }
+
+  // ========== FloatAlpValuesWriter ==========
+
+  public static class FloatAlpValuesWriter extends AlpValuesWriter {
+    private float[] vectorBuffer;
+    private float[] samplerBuffer;
+    private int samplerCount;
+
+    public FloatAlpValuesWriter(int vectorSize) {
+      super(vectorSize);
+      this.vectorBuffer = new float[this.vectorSize];
+      this.samplerBuffer = new float[SAMPLER_ROWGROUP_SIZE];
+    }
+
+    public FloatAlpValuesWriter() {
+      this(DEFAULT_VECTOR_SIZE);
+    }
+
+    @Override
+    public void writeFloat(float v) {
+      // Collect for sampling if preset not ready
+      if (!presetReady && samplerCount < samplerBuffer.length) {
+        samplerBuffer[samplerCount++] = v;
+      }
+
+      vectorBuffer[bufferedCount++] = v;
+      totalCount++;
+
+      if (bufferedCount == vectorSize) {
+        ensurePreset();
+        flushVector();
+      }
+    }
+
+    private void ensurePreset() {
+      if (!presetReady) {
+        AlpSampler.FloatSampler sampler = new AlpSampler.FloatSampler();
+        sampler.addSample(samplerBuffer, samplerCount);
+        preset = sampler.finalizeSampling();
+        presetReady = true;
+        samplerBuffer = null; // free sampling buffer
+      }
+    }
+
+    private void flushVector() {
+      AlpCompression.FloatCompressedVector cv =
+          AlpCompression.compressFloatVector(vectorBuffer, bufferedCount, preset);
+      int size = cv.storedSize();
+      byte[] encoded = new byte[size];
+      cv.store(encoded, 0);
+      encodedVectors.add(encoded);
+      encodedVectorSizes.add(size);
+      bufferedCount = 0;
+    }
+
+    @Override
+    public BytesInput getBytes() {
+      // Flush any partial vector
+      if (bufferedCount > 0) {
+        ensurePreset();
+        flushVector();
+      }
+
+      if (totalCount == 0) {
+        byte[] header = new byte[HEADER_SIZE];
+        writeAlpHeader(header, vectorSize, 0);
+        return BytesInput.from(header);
+      }
+
+      // Calculate layout
+      int numVectors = encodedVectors.size();
+      int offsetsSectionSize = numVectors * OFFSET_SIZE;
+      int[] offsets = new int[numVectors];
+      int currentOffset = offsetsSectionSize;
+      for (int i = 0; i < numVectors; i++) {
+        offsets[i] = currentOffset;
+        currentOffset += encodedVectorSizes.get(i);
+      }
+
+      // Assemble page
+      int bodySize = currentOffset;
+      byte[] page = new byte[HEADER_SIZE + bodySize];
+      writeAlpHeader(page, vectorSize, totalCount);
+
+      // Write offsets
+      int pos = HEADER_SIZE;
+      for (int offset : offsets) {
+        writeLittleEndianInt(page, pos, offset);
+        pos += OFFSET_SIZE;
+      }
+
+      // Write vectors
+      for (byte[] vec : encodedVectors) {
+        System.arraycopy(vec, 0, page, pos, vec.length);
+        pos += vec.length;
+      }
+
+      return BytesInput.from(page);
+    }
+
+    @Override
+    public long getBufferedSize() {
+      long size = HEADER_SIZE;
+      for (int s : encodedVectorSizes) {
+        size += OFFSET_SIZE + s;
+      }
+      size += (long) bufferedCount * Float.BYTES;
+      return size;
+    }
+
+    @Override
+    public long getAllocatedSize() {
+      long size = (vectorBuffer != null ? (long) vectorBuffer.length * Float.BYTES : 0);
+      if (samplerBuffer != null) {
+        size += (long) samplerBuffer.length * Float.BYTES;
+      }
+      for (byte[] vec : encodedVectors) {
+        size += vec.length;
+      }
+      return size;
+    }
+
+    @Override
+    public String memUsageString(String prefix) {
+      return String.format(
+          "%s ALPFloatWriter: %d values, %d vectors, %d bytes allocated",
+          prefix, totalCount, encodedVectors.size(), getAllocatedSize());
+    }
+
+    @Override
+    protected void resetVectorBuffer() {
+      vectorBuffer = new float[vectorSize];
+      samplerBuffer = new float[SAMPLER_ROWGROUP_SIZE];
+      samplerCount = 0;
+    }
+  }
+
+  // ========== DoubleAlpValuesWriter ==========
+
+  public static class DoubleAlpValuesWriter extends AlpValuesWriter {
+    private double[] vectorBuffer;
+    private double[] samplerBuffer;
+    private int samplerCount;
+
+    public DoubleAlpValuesWriter(int vectorSize) {
+      super(vectorSize);
+      this.vectorBuffer = new double[this.vectorSize];
+      this.samplerBuffer = new double[SAMPLER_ROWGROUP_SIZE];
+    }
+
+    public DoubleAlpValuesWriter() {
+      this(DEFAULT_VECTOR_SIZE);
+    }
+
+    @Override
+    public void writeDouble(double v) {
+      if (!presetReady && samplerCount < samplerBuffer.length) {
+        samplerBuffer[samplerCount++] = v;
+      }
+
+      vectorBuffer[bufferedCount++] = v;
+      totalCount++;
+
+      if (bufferedCount == vectorSize) {
+        ensurePreset();
+        flushVector();
+      }
+    }
+
+    private void ensurePreset() {
+      if (!presetReady) {
+        AlpSampler.DoubleSampler sampler = new AlpSampler.DoubleSampler();
+        sampler.addSample(samplerBuffer, samplerCount);
+        preset = sampler.finalizeSampling();
+        presetReady = true;
+        samplerBuffer = null;
+      }
+    }
+
+    private void flushVector() {
+      AlpCompression.DoubleCompressedVector cv =
+          AlpCompression.compressDoubleVector(vectorBuffer, bufferedCount, preset);
+      int size = cv.storedSize();
+      byte[] encoded = new byte[size];
+      cv.store(encoded, 0);
+      encodedVectors.add(encoded);
+      encodedVectorSizes.add(size);
+      bufferedCount = 0;
+    }
+
+    @Override
+    public BytesInput getBytes() {
+      if (bufferedCount > 0) {
+        ensurePreset();
+        flushVector();
+      }
+
+      if (totalCount == 0) {
+        byte[] header = new byte[HEADER_SIZE];
+        writeAlpHeader(header, vectorSize, 0);
+        return BytesInput.from(header);
+      }
+
+      int numVectors = encodedVectors.size();
+      int offsetsSectionSize = numVectors * OFFSET_SIZE;
+      int[] offsets = new int[numVectors];
+      int currentOffset = offsetsSectionSize;
+      for (int i = 0; i < numVectors; i++) {
+        offsets[i] = currentOffset;
+        currentOffset += encodedVectorSizes.get(i);
+      }
+
+      int bodySize = currentOffset;
+      byte[] page = new byte[HEADER_SIZE + bodySize];
+      writeAlpHeader(page, vectorSize, totalCount);
+
+      int pos = HEADER_SIZE;
+      for (int offset : offsets) {
+        writeLittleEndianInt(page, pos, offset);
+        pos += OFFSET_SIZE;
+      }
+
+      for (byte[] vec : encodedVectors) {
+        System.arraycopy(vec, 0, page, pos, vec.length);
+        pos += vec.length;
+      }
+
+      return BytesInput.from(page);
+    }
+
+    @Override
+    public long getBufferedSize() {
+      long size = HEADER_SIZE;
+      for (int s : encodedVectorSizes) {
+        size += OFFSET_SIZE + s;
+      }
+      size += (long) bufferedCount * Double.BYTES;
+      return size;
+    }
+
+    @Override
+    public long getAllocatedSize() {
+      long size = (vectorBuffer != null ? (long) vectorBuffer.length * Double.BYTES : 0);
+      if (samplerBuffer != null) {
+        size += (long) samplerBuffer.length * Double.BYTES;
+      }
+      for (byte[] vec : encodedVectors) {
+        size += vec.length;
+      }
+      return size;
+    }
+
+    @Override
+    public String memUsageString(String prefix) {
+      return String.format(
+          "%s ALPDoubleWriter: %d values, %d vectors, %d bytes allocated",
+          prefix, totalCount, encodedVectors.size(), getAllocatedSize());
+    }
+
+    @Override
+    protected void resetVectorBuffer() {
+      vectorBuffer = new double[vectorSize];
+      samplerBuffer = new double[SAMPLER_ROWGROUP_SIZE];
+      samplerCount = 0;
+    }
+  }
+
+  // ========== Header helpers ==========
+
+  static void writeAlpHeader(byte[] output, int vectorSize, int numElements) {
+    int logVs = Integer.numberOfTrailingZeros(vectorSize);
+    output[0] = (byte) COMPRESSION_MODE_ALP;
+    output[1] = (byte) INTEGER_ENCODING_FOR;
+    output[2] = (byte) logVs;
+    writeLittleEndianInt(output, 3, numElements);
+  }
+
+  static void writeLittleEndianInt(byte[] output, int pos, int value) {
+    output[pos] = (byte) value;
+    output[pos + 1] = (byte) (value >> 8);
+    output[pos + 2] = (byte) (value >> 16);
+    output[pos + 3] = (byte) (value >> 24);
+  }
+}
diff --git a/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpValuesWriterTest.java b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpValuesWriterTest.java
new file mode 100644
index 0000000000..e8f8712dd1
--- /dev/null
+++ b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpValuesWriterTest.java
@@ -0,0 +1,278 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+package org.apache.parquet.column.values.alp;
+
+import static org.junit.Assert.*;
+
+import java.io.IOException;
+import java.util.Random;
+import org.apache.parquet.bytes.BytesInput;
+import org.junit.Test;
+
+public class AlpValuesWriterTest {
+
+  // ========== Float writer ==========
+
+  @Test
+  public void testFloatWriterRoundTrip() throws IOException {
+    float[] values = new float[100];
+    for (int i = 0; i < 100; i++) {
+      values[i] = i * 0.1f;
+    }
+
+    AlpValuesWriter.FloatAlpValuesWriter writer = new AlpValuesWriter.FloatAlpValuesWriter();
+    for (float v : values) {
+      writer.writeFloat(v);
+    }
+
+    BytesInput bytes = writer.getBytes();
+    byte[] compressed = bytes.toByteArray();
+    assertTrue(compressed.length >= AlpConstants.HEADER_SIZE);
+
+    float[] output = new float[values.length];
+    AlpWrapper.decodeFloats(compressed, compressed.length, output, values.length);
+
+    for (int i = 0; i < values.length; i++) {
+      assertEquals(
+          "Mismatch at " + i,
+          Float.floatToRawIntBits(values[i]),
+          Float.floatToRawIntBits(output[i]));
+    }
+  }
+
+  @Test
+  public void testFloatWriterMultipleVectors() throws IOException {
+    // 2500 values = 2 full vectors + 1 partial
+    float[] values = new float[2500];
+    Random rng = new Random(42);
+    for (int i = 0; i < 2500; i++) {
+      values[i] = Math.round(rng.nextFloat() * 10000) / 100.0f;
+    }
+
+    AlpValuesWriter.FloatAlpValuesWriter writer = new AlpValuesWriter.FloatAlpValuesWriter();
+    for (float v : values) {
+      writer.writeFloat(v);
+    }
+
+    byte[] compressed = writer.getBytes().toByteArray();
+
+    float[] output = new float[values.length];
+    AlpWrapper.decodeFloats(compressed, compressed.length, output, values.length);
+
+    for (int i = 0; i < values.length; i++) {
+      assertEquals(
+          "Mismatch at " + i,
+          Float.floatToRawIntBits(values[i]),
+          Float.floatToRawIntBits(output[i]));
+    }
+  }
+
+  @Test
+  public void testFloatWriterExactVectorSize() throws IOException {
+    float[] values = new float[AlpConstants.DEFAULT_VECTOR_SIZE];
+    for (int i = 0; i < values.length; i++) {
+      values[i] = i * 0.5f;
+    }
+
+    AlpValuesWriter.FloatAlpValuesWriter writer = new AlpValuesWriter.FloatAlpValuesWriter();
+    for (float v : values) {
+      writer.writeFloat(v);
+    }
+
+    byte[] compressed = writer.getBytes().toByteArray();
+
+    float[] output = new float[values.length];
+    AlpWrapper.decodeFloats(compressed, compressed.length, output, values.length);
+
+    for (int i = 0; i < values.length; i++) {
+      assertEquals(
+          Float.floatToRawIntBits(values[i]),
+          Float.floatToRawIntBits(output[i]));
+    }
+  }
+
+  @Test
+  public void testFloatWriterSpecialValues() throws IOException {
+    float[] values = {1.0f, Float.NaN, 2.0f, Float.POSITIVE_INFINITY,
+        3.0f, Float.NEGATIVE_INFINITY, 4.0f, -0.0f, 5.0f};
+
+    AlpValuesWriter.FloatAlpValuesWriter writer = new AlpValuesWriter.FloatAlpValuesWriter();
+    for (float v : values) {
+      writer.writeFloat(v);
+    }
+
+    byte[] compressed = writer.getBytes().toByteArray();
+
+    float[] output = new float[values.length];
+    AlpWrapper.decodeFloats(compressed, compressed.length, output, values.length);
+
+    for (int i = 0; i < values.length; i++) {
+      assertEquals(
+          "Mismatch at " + i,
+          Float.floatToRawIntBits(values[i]),
+          Float.floatToRawIntBits(output[i]));
+    }
+  }
+
+  @Test
+  public void testFloatWriterEmpty() throws IOException {
+    AlpValuesWriter.FloatAlpValuesWriter writer = new AlpValuesWriter.FloatAlpValuesWriter();
+    byte[] compressed = writer.getBytes().toByteArray();
+    assertEquals(AlpConstants.HEADER_SIZE, compressed.length);
+  }
+
+  @Test
+  public void testFloatWriterReset() throws IOException {
+    AlpValuesWriter.FloatAlpValuesWriter writer = new AlpValuesWriter.FloatAlpValuesWriter();
+    for (int i = 0; i < 100; i++) {
+      writer.writeFloat(i * 0.1f);
+    }
+
+    byte[] first = writer.getBytes().toByteArray();
+    assertTrue(first.length > AlpConstants.HEADER_SIZE);
+
+    writer.reset();
+
+    // Write different data
+    for (int i = 0; i < 50; i++) {
+      writer.writeFloat(i * 2.0f);
+    }
+
+    byte[] second = writer.getBytes().toByteArray();
+    assertTrue(second.length > AlpConstants.HEADER_SIZE);
+
+    // Verify second batch round-trips correctly
+    float[] output = new float[50];
+    AlpWrapper.decodeFloats(second, second.length, output, 50);
+    for (int i = 0; i < 50; i++) {
+      assertEquals(
+          Float.floatToRawIntBits(i * 2.0f),
+          Float.floatToRawIntBits(output[i]));
+    }
+  }
+
+  // ========== Double writer ==========
+
+  @Test
+  public void testDoubleWriterRoundTrip() throws IOException {
+    double[] values = new double[100];
+    for (int i = 0; i < 100; i++) {
+      values[i] = i * 0.1;
+    }
+
+    AlpValuesWriter.DoubleAlpValuesWriter writer = new AlpValuesWriter.DoubleAlpValuesWriter();
+    for (double v : values) {
+      writer.writeDouble(v);
+    }
+
+    byte[] compressed = writer.getBytes().toByteArray();
+
+    double[] output = new double[values.length];
+    AlpWrapper.decodeDoubles(compressed, compressed.length, output, values.length);
+
+    for (int i = 0; i < values.length; i++) {
+      assertEquals(
+          "Mismatch at " + i,
+          Double.doubleToRawLongBits(values[i]),
+          Double.doubleToRawLongBits(output[i]));
+    }
+  }
+
+  @Test
+  public void testDoubleWriterMultipleVectors() throws IOException {
+    double[] values = new double[2500];
+    Random rng = new Random(42);
+    for (int i = 0; i < 2500; i++) {
+      values[i] = Math.round(rng.nextDouble() * 10000) / 100.0;
+    }
+
+    AlpValuesWriter.DoubleAlpValuesWriter writer = new AlpValuesWriter.DoubleAlpValuesWriter();
+    for (double v : values) {
+      writer.writeDouble(v);
+    }
+
+    byte[] compressed = writer.getBytes().toByteArray();
+
+    double[] output = new double[values.length];
+    AlpWrapper.decodeDoubles(compressed, compressed.length, output, values.length);
+
+    for (int i = 0; i < values.length; i++) {
+      assertEquals(
+          "Mismatch at " + i,
+          Double.doubleToRawLongBits(values[i]),
+          Double.doubleToRawLongBits(output[i]));
+    }
+  }
+
+  @Test
+  public void testDoubleWriterSpecialValues() throws IOException {
+    double[] values = {1.0, Double.NaN, 2.0, Double.POSITIVE_INFINITY,
+        3.0, Double.NEGATIVE_INFINITY, 4.0, -0.0, 5.0};
+
+    AlpValuesWriter.DoubleAlpValuesWriter writer = new AlpValuesWriter.DoubleAlpValuesWriter();
+    for (double v : values) {
+      writer.writeDouble(v);
+    }
+
+    byte[] compressed = writer.getBytes().toByteArray();
+
+    double[] output = new double[values.length];
+    AlpWrapper.decodeDoubles(compressed, compressed.length, output, values.length);
+
+    for (int i = 0; i < values.length; i++) {
+      assertEquals(
+          "Mismatch at " + i,
+          Double.doubleToRawLongBits(values[i]),
+          Double.doubleToRawLongBits(output[i]));
+    }
+  }
+
+  @Test
+  public void testDoubleWriterEmpty() throws IOException {
+    AlpValuesWriter.DoubleAlpValuesWriter writer = new AlpValuesWriter.DoubleAlpValuesWriter();
+    byte[] compressed = writer.getBytes().toByteArray();
+    assertEquals(AlpConstants.HEADER_SIZE, compressed.length);
+  }
+
+  // ========== Buffered size / allocated size ==========
+
+  @Test
+  public void testBufferedSizeGrowsWithValues() {
+    AlpValuesWriter.FloatAlpValuesWriter writer = new AlpValuesWriter.FloatAlpValuesWriter();
+    long initial = writer.getBufferedSize();
+    for (int i = 0; i < 10; i++) {
+      writer.writeFloat(i * 0.1f);
+    }
+    assertTrue(writer.getBufferedSize() > initial);
+  }
+
+  @Test
+  public void testAllocatedSizeNonNegative() {
+    AlpValuesWriter.FloatAlpValuesWriter writer = new AlpValuesWriter.FloatAlpValuesWriter();
+    assertTrue(writer.getAllocatedSize() > 0);
+  }
+
+  @Test
+  public void testMemUsageString() {
+    AlpValuesWriter.FloatAlpValuesWriter writer = new AlpValuesWriter.FloatAlpValuesWriter();
+    String usage = writer.memUsageString("TEST");
+    assertTrue(usage.startsWith("TEST"));
+    assertTrue(usage.contains("ALP"));
+  }
+}

From 27508d93bf59e23300f78172e753abdd41436ecc Mon Sep 17 00:00:00 2001
From: Prateek Gaur <prateek.gaur@snowflake.com>
Date: Sat, 7 Mar 2026 19:00:54 +0000
Subject: [PATCH 07/24] ALP: Add lazy AlpValuesReader for float and double
 columns

Implements AlpValuesReader (abstract), AlpValuesReaderForFloat, and
AlpValuesReaderForDouble. Uses lazy per-vector decoding: initFromPage
reads only the header and offset array, vectors are decoded on first
access. skip() is O(1) with no decoding.
---
 .../column/values/alp/AlpValuesReader.java    | 117 +++++++++
 .../values/alp/AlpValuesReaderForDouble.java  |  54 ++++
 .../values/alp/AlpValuesReaderForFloat.java   |  54 ++++
 .../values/alp/AlpValuesReaderTest.java       | 241 ++++++++++++++++++
 4 files changed, 466 insertions(+)
 create mode 100644 parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesReader.java
 create mode 100644 parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesReaderForDouble.java
 create mode 100644 parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesReaderForFloat.java
 create mode 100644 parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpValuesReaderTest.java

diff --git a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesReader.java b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesReader.java
new file mode 100644
index 0000000000..dc8c04c960
--- /dev/null
+++ b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesReader.java
@@ -0,0 +1,117 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+package org.apache.parquet.column.values.alp;
+
+import static org.apache.parquet.column.values.alp.AlpConstants.*;
+
+import java.io.IOException;
+import java.nio.ByteBuffer;
+import java.nio.ByteOrder;
+import org.apache.parquet.bytes.ByteBufferInputStream;
+import org.apache.parquet.column.values.ValuesReader;
+import org.apache.parquet.io.ParquetDecodingException;
+
+/**
+ * Abstract base class for ALP values readers with lazy per-vector decoding.
+ *
+ * <p>On {@link #initFromPage}, reads the 7-byte header and offset array but does NOT
+ * decode any vectors. Vectors are decoded on demand when values are accessed.
+ * {@link #skip()} is O(1) — it just advances the index.
+ */
+abstract class AlpValuesReader extends ValuesReader {
+
+  protected int vectorSize;
+  protected int totalCount;
+  protected int numVectors;
+  protected int currentIndex;
+  protected int decodedVectorIndex = -1;
+  protected int[] vectorOffsets;
+  protected byte[] rawData; // all data after header
+
+  @Override
+  public void initFromPage(int valueCount, ByteBufferInputStream stream) throws IOException {
+    int available = (int) stream.available();
+    if (available < HEADER_SIZE) {
+      throw new ParquetDecodingException(
+          "ALP page too small for header: " + available + " bytes");
+    }
+
+    // Read header
+    byte[] headerBytes = new byte[HEADER_SIZE];
+    stream.read(headerBytes);
+    ByteBuffer header = ByteBuffer.wrap(headerBytes).order(ByteOrder.LITTLE_ENDIAN);
+
+    int compressionMode = header.get() & 0xFF;
+    int integerEncoding = header.get() & 0xFF;
+    int logVectorSize = header.get() & 0xFF;
+    totalCount = header.getInt();
+
+    if (compressionMode != COMPRESSION_MODE_ALP) {
+      throw new ParquetDecodingException(
+          "Unsupported ALP compression mode: " + compressionMode);
+    }
+    if (integerEncoding != INTEGER_ENCODING_FOR) {
+      throw new ParquetDecodingException(
+          "Unsupported ALP integer encoding: " + integerEncoding);
+    }
+
+    vectorSize = 1 << logVectorSize;
+    numVectors = (totalCount + vectorSize - 1) / vectorSize;
+    currentIndex = 0;
+    decodedVectorIndex = -1;
+
+    if (numVectors == 0) {
+      vectorOffsets = new int[0];
+      rawData = new byte[0];
+      return;
+    }
+
+    // Read remaining data (offsets + vectors)
+    int remaining = (int) stream.available();
+    rawData = new byte[remaining];
+    stream.read(rawData);
+
+    // Parse offsets from rawData
+    ByteBuffer body = ByteBuffer.wrap(rawData, 0, numVectors * OFFSET_SIZE)
+        .order(ByteOrder.LITTLE_ENDIAN);
+    vectorOffsets = new int[numVectors];
+    for (int i = 0; i < numVectors; i++) {
+      vectorOffsets[i] = body.getInt();
+    }
+  }
+
+  @Override
+  public void skip() {
+    currentIndex++;
+  }
+
+  @Override
+  public void skip(int n) {
+    currentIndex += n;
+  }
+
+  /** Number of elements in the given vector (last vector may be partial). */
+  protected int elementsInVector(int vectorIdx) {
+    if (vectorIdx < totalCount / vectorSize) {
+      return vectorSize;
+    }
+    int rem = totalCount % vectorSize;
+    return (rem == 0) ? vectorSize : rem;
+  }
+}
diff --git a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesReaderForDouble.java b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesReaderForDouble.java
new file mode 100644
index 0000000000..69ae6debb5
--- /dev/null
+++ b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesReaderForDouble.java
@@ -0,0 +1,54 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+package org.apache.parquet.column.values.alp;
+
+import org.apache.parquet.io.ParquetDecodingException;
+
+/**
+ * ALP values reader for double columns with lazy per-vector decoding.
+ */
+public class AlpValuesReaderForDouble extends AlpValuesReader {
+
+  private double[] decodedBuffer;
+
+  @Override
+  public double readDouble() {
+    if (currentIndex >= totalCount) {
+      throw new ParquetDecodingException("ALP double reader exhausted at index " + currentIndex);
+    }
+    int vectorIdx = currentIndex / vectorSize;
+    int posInVector = currentIndex % vectorSize;
+    ensureVectorDecoded(vectorIdx);
+    currentIndex++;
+    return decodedBuffer[posInVector];
+  }
+
+  private void ensureVectorDecoded(int vectorIdx) {
+    if (vectorIdx == decodedVectorIndex) {
+      return;
+    }
+    int numElements = elementsInVector(vectorIdx);
+    int dataOffset = vectorOffsets[vectorIdx];
+    AlpCompression.DoubleCompressedVector cv =
+        AlpCompression.DoubleCompressedVector.load(rawData, dataOffset, numElements);
+    decodedBuffer = new double[numElements];
+    AlpCompression.decompressDoubleVector(cv, decodedBuffer);
+    decodedVectorIndex = vectorIdx;
+  }
+}
diff --git a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesReaderForFloat.java b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesReaderForFloat.java
new file mode 100644
index 0000000000..8fd39f3df0
--- /dev/null
+++ b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesReaderForFloat.java
@@ -0,0 +1,54 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+package org.apache.parquet.column.values.alp;
+
+import org.apache.parquet.io.ParquetDecodingException;
+
+/**
+ * ALP values reader for float columns with lazy per-vector decoding.
+ */
+public class AlpValuesReaderForFloat extends AlpValuesReader {
+
+  private float[] decodedBuffer;
+
+  @Override
+  public float readFloat() {
+    if (currentIndex >= totalCount) {
+      throw new ParquetDecodingException("ALP float reader exhausted at index " + currentIndex);
+    }
+    int vectorIdx = currentIndex / vectorSize;
+    int posInVector = currentIndex % vectorSize;
+    ensureVectorDecoded(vectorIdx);
+    currentIndex++;
+    return decodedBuffer[posInVector];
+  }
+
+  private void ensureVectorDecoded(int vectorIdx) {
+    if (vectorIdx == decodedVectorIndex) {
+      return;
+    }
+    int numElements = elementsInVector(vectorIdx);
+    int dataOffset = vectorOffsets[vectorIdx];
+    AlpCompression.FloatCompressedVector cv =
+        AlpCompression.FloatCompressedVector.load(rawData, dataOffset, numElements);
+    decodedBuffer = new float[numElements];
+    AlpCompression.decompressFloatVector(cv, decodedBuffer);
+    decodedVectorIndex = vectorIdx;
+  }
+}
diff --git a/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpValuesReaderTest.java b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpValuesReaderTest.java
new file mode 100644
index 0000000000..51d81e8a42
--- /dev/null
+++ b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpValuesReaderTest.java
@@ -0,0 +1,241 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+package org.apache.parquet.column.values.alp;
+
+import static org.junit.Assert.*;
+
+import java.io.IOException;
+import java.nio.ByteBuffer;
+import java.util.Random;
+import org.apache.parquet.bytes.ByteBufferInputStream;
+import org.apache.parquet.bytes.BytesInput;
+import org.junit.Test;
+
+public class AlpValuesReaderTest {
+
+  private static ByteBufferInputStream toInputStream(byte[] data) {
+    return ByteBufferInputStream.wrap(ByteBuffer.wrap(data));
+  }
+
+  // ========== Float writer → reader round-trip ==========
+
+  private static void assertFloatWriterReaderRoundTrip(float[] values) throws IOException {
+    // Write
+    AlpValuesWriter.FloatAlpValuesWriter writer = new AlpValuesWriter.FloatAlpValuesWriter();
+    for (float v : values) {
+      writer.writeFloat(v);
+    }
+    byte[] compressed = writer.getBytes().toByteArray();
+
+    // Read
+    AlpValuesReaderForFloat reader = new AlpValuesReaderForFloat();
+    reader.initFromPage(values.length, toInputStream(compressed));
+
+    for (int i = 0; i < values.length; i++) {
+      float actual = reader.readFloat();
+      assertEquals(
+          "Mismatch at " + i,
+          Float.floatToRawIntBits(values[i]),
+          Float.floatToRawIntBits(actual));
+    }
+  }
+
+  @Test
+  public void testFloatReaderSingleVector() throws IOException {
+    float[] values = new float[100];
+    for (int i = 0; i < 100; i++) {
+      values[i] = i * 0.1f;
+    }
+    assertFloatWriterReaderRoundTrip(values);
+  }
+
+  @Test
+  public void testFloatReaderMultipleVectors() throws IOException {
+    float[] values = new float[2500];
+    Random rng = new Random(42);
+    for (int i = 0; i < 2500; i++) {
+      values[i] = Math.round(rng.nextFloat() * 10000) / 100.0f;
+    }
+    assertFloatWriterReaderRoundTrip(values);
+  }
+
+  @Test
+  public void testFloatReaderExactVectorSize() throws IOException {
+    float[] values = new float[AlpConstants.DEFAULT_VECTOR_SIZE];
+    for (int i = 0; i < values.length; i++) {
+      values[i] = i * 0.5f;
+    }
+    assertFloatWriterReaderRoundTrip(values);
+  }
+
+  @Test
+  public void testFloatReaderSpecialValues() throws IOException {
+    float[] values = {1.0f, Float.NaN, 2.0f, Float.POSITIVE_INFINITY,
+        3.0f, Float.NEGATIVE_INFINITY, 4.0f, -0.0f, 5.0f};
+    assertFloatWriterReaderRoundTrip(values);
+  }
+
+  // ========== Float skip ==========
+
+  @Test
+  public void testFloatReaderSkip() throws IOException {
+    float[] values = new float[50];
+    for (int i = 0; i < 50; i++) {
+      values[i] = i * 0.3f;
+    }
+
+    AlpValuesWriter.FloatAlpValuesWriter writer = new AlpValuesWriter.FloatAlpValuesWriter();
+    for (float v : values) {
+      writer.writeFloat(v);
+    }
+    byte[] compressed = writer.getBytes().toByteArray();
+
+    AlpValuesReaderForFloat reader = new AlpValuesReaderForFloat();
+    reader.initFromPage(values.length, toInputStream(compressed));
+
+    // Skip first 10, read next 5
+    reader.skip(10);
+    for (int i = 10; i < 15; i++) {
+      assertEquals(
+          Float.floatToRawIntBits(values[i]),
+          Float.floatToRawIntBits(reader.readFloat()));
+    }
+
+    // Skip 20 more, read next
+    reader.skip(20);
+    assertEquals(
+        Float.floatToRawIntBits(values[35]),
+        Float.floatToRawIntBits(reader.readFloat()));
+  }
+
+  @Test
+  public void testFloatReaderSkipAcrossVectors() throws IOException {
+    float[] values = new float[2500];
+    for (int i = 0; i < 2500; i++) {
+      values[i] = i * 0.01f;
+    }
+
+    AlpValuesWriter.FloatAlpValuesWriter writer = new AlpValuesWriter.FloatAlpValuesWriter();
+    for (float v : values) {
+      writer.writeFloat(v);
+    }
+    byte[] compressed = writer.getBytes().toByteArray();
+
+    AlpValuesReaderForFloat reader = new AlpValuesReaderForFloat();
+    reader.initFromPage(values.length, toInputStream(compressed));
+
+    // Skip into second vector
+    reader.skip(1500);
+    assertEquals(
+        Float.floatToRawIntBits(values[1500]),
+        Float.floatToRawIntBits(reader.readFloat()));
+  }
+
+  // ========== Double writer → reader round-trip ==========
+
+  private static void assertDoubleWriterReaderRoundTrip(double[] values) throws IOException {
+    AlpValuesWriter.DoubleAlpValuesWriter writer = new AlpValuesWriter.DoubleAlpValuesWriter();
+    for (double v : values) {
+      writer.writeDouble(v);
+    }
+    byte[] compressed = writer.getBytes().toByteArray();
+
+    AlpValuesReaderForDouble reader = new AlpValuesReaderForDouble();
+    reader.initFromPage(values.length, toInputStream(compressed));
+
+    for (int i = 0; i < values.length; i++) {
+      double actual = reader.readDouble();
+      assertEquals(
+          "Mismatch at " + i,
+          Double.doubleToRawLongBits(values[i]),
+          Double.doubleToRawLongBits(actual));
+    }
+  }
+
+  @Test
+  public void testDoubleReaderSingleVector() throws IOException {
+    double[] values = new double[100];
+    for (int i = 0; i < 100; i++) {
+      values[i] = i * 0.1;
+    }
+    assertDoubleWriterReaderRoundTrip(values);
+  }
+
+  @Test
+  public void testDoubleReaderMultipleVectors() throws IOException {
+    double[] values = new double[2500];
+    Random rng = new Random(42);
+    for (int i = 0; i < 2500; i++) {
+      values[i] = Math.round(rng.nextDouble() * 10000) / 100.0;
+    }
+    assertDoubleWriterReaderRoundTrip(values);
+  }
+
+  @Test
+  public void testDoubleReaderSpecialValues() throws IOException {
+    double[] values = {1.0, Double.NaN, 2.0, Double.POSITIVE_INFINITY,
+        3.0, Double.NEGATIVE_INFINITY, 4.0, -0.0, 5.0};
+    assertDoubleWriterReaderRoundTrip(values);
+  }
+
+  @Test
+  public void testDoubleReaderSkip() throws IOException {
+    double[] values = new double[50];
+    for (int i = 0; i < 50; i++) {
+      values[i] = i * 0.3;
+    }
+
+    AlpValuesWriter.DoubleAlpValuesWriter writer = new AlpValuesWriter.DoubleAlpValuesWriter();
+    for (double v : values) {
+      writer.writeDouble(v);
+    }
+    byte[] compressed = writer.getBytes().toByteArray();
+
+    AlpValuesReaderForDouble reader = new AlpValuesReaderForDouble();
+    reader.initFromPage(values.length, toInputStream(compressed));
+
+    reader.skip(10);
+    for (int i = 10; i < 15; i++) {
+      assertEquals(
+          Double.doubleToRawLongBits(values[i]),
+          Double.doubleToRawLongBits(reader.readDouble()));
+    }
+  }
+
+  // ========== Partial last vector ==========
+
+  @Test
+  public void testFloatReaderPartialLastVector() throws IOException {
+    // 1030 = 1024 + 6 → 2 vectors, last has 6 elements
+    float[] values = new float[1030];
+    for (int i = 0; i < 1030; i++) {
+      values[i] = i * 0.1f;
+    }
+    assertFloatWriterReaderRoundTrip(values);
+  }
+
+  @Test
+  public void testDoubleReaderPartialLastVector() throws IOException {
+    double[] values = new double[1030];
+    for (int i = 0; i < 1030; i++) {
+      values[i] = i * 0.1;
+    }
+    assertDoubleWriterReaderRoundTrip(values);
+  }
+}

From 1036d0954bf8b402dde668fb85bd117e3f19417c Mon Sep 17 00:00:00 2001
From: Prateek Gaur <prateek.gaur@snowflake.com>
Date: Sat, 7 Mar 2026 19:21:25 +0000
Subject: [PATCH 08/24] ALP: Add cross-implementation tests and fix
 encode/decode to match C++

Add AlpCrossImplTest with 7 test cases that decode C++ reference blobs
and verify bit-identical output. Reference blobs were generated by the
C++ Arrow ALP implementation via generate_reference_blobs.cc.

Fix encode/decode math to use two-step multiplication matching C++:
- Encode: value * 10^exponent * 10^(-factor)
- Decode: encoded * 10^factor * 10^(-exponent)

The previous single-operation approach (value / (10^e / 10^f)) produced
1-ULP differences due to different intermediate floating-point rounding.
---
 .../column/values/alp/AlpConstants.java       |  12 +
 .../column/values/alp/AlpEncoderDecoder.java  |  52 ++-
 .../column/values/alp/AlpCrossImplTest.java   | 303 ++++++++++++++++++
 3 files changed, 333 insertions(+), 34 deletions(-)
 create mode 100644 parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpCrossImplTest.java

diff --git a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpConstants.java b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpConstants.java
index 6e14518aa0..a4420bbecd 100644
--- a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpConstants.java
+++ b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpConstants.java
@@ -69,6 +69,12 @@ private AlpConstants() {
 
   static final float[] FLOAT_POW10 = {1e0f, 1e1f, 1e2f, 1e3f, 1e4f, 1e5f, 1e6f, 1e7f, 1e8f, 1e9f, 1e10f};
 
+  // Negative powers of 10 as float, matching C++ PowerOfTenFloat(-power).
+  // Used in the two-step encode/decode to match C++ floating-point rounding behavior.
+  static final float[] FLOAT_POW10_NEGATIVE = {
+    1e0f, 1e-1f, 1e-2f, 1e-3f, 1e-4f, 1e-5f, 1e-6f, 1e-7f, 1e-8f, 1e-9f, 1e-10f
+  };
+
   // ========== Double-specific ==========
   static final int DOUBLE_MAX_EXPONENT = 18;
   static final double MAGIC_DOUBLE = 6_755_399_441_055_744.0; // 2^51 + 2^52
@@ -80,6 +86,12 @@ private AlpConstants() {
     1e0, 1e1, 1e2, 1e3, 1e4, 1e5, 1e6, 1e7, 1e8, 1e9, 1e10, 1e11, 1e12, 1e13, 1e14, 1e15, 1e16, 1e17, 1e18
   };
 
+  // Negative powers of 10 as double, matching C++ PowerOfTenDouble(-power).
+  static final double[] DOUBLE_POW10_NEGATIVE = {
+    1e0, 1e-1, 1e-2, 1e-3, 1e-4, 1e-5, 1e-6, 1e-7, 1e-8, 1e-9, 1e-10,
+    1e-11, 1e-12, 1e-13, 1e-14, 1e-15, 1e-16, 1e-17, 1e-18
+  };
+
   // ========== Per-vector metadata sizes ==========
   public static final int ALP_INFO_SIZE = 4; // exponent(1) + factor(1) + num_exceptions(2)
   public static final int FLOAT_FOR_INFO_SIZE = 5; // frame_of_reference(4) + bit_width(1)
diff --git a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpEncoderDecoder.java b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpEncoderDecoder.java
index 34d2f091f1..da489ec35e 100644
--- a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpEncoderDecoder.java
+++ b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpEncoderDecoder.java
@@ -27,8 +27,8 @@
  * then applying Frame of Reference encoding and bit-packing.
  * Values that cannot be losslessly converted are stored as exceptions.
  *
- * <p>Encoding formula: encoded = round(value * 10^exponent / 10^factor)
- * <p>Decoding formula: value = encoded / 10^exponent * 10^factor
+ * <p>Encoding formula: encoded = round(value * 10^exponent * 10^(-factor))
+ * <p>Decoding formula: value = encoded * 10^factor * 10^(-exponent)
  *
  * <p>Exception conditions:
  * <ul>
@@ -45,26 +45,6 @@ private AlpEncoderDecoder() {
     // Utility class
   }
 
-  // ========== Float multiplier ==========
-
-  static float getFloatMultiplier(int exponent, int factor) {
-    float multiplier = FLOAT_POW10[exponent];
-    if (factor > 0) {
-      multiplier /= FLOAT_POW10[factor];
-    }
-    return multiplier;
-  }
-
-  // ========== Double multiplier ==========
-
-  static double getDoubleMultiplier(int exponent, int factor) {
-    double multiplier = DOUBLE_POW10[exponent];
-    if (factor > 0) {
-      multiplier /= DOUBLE_POW10[factor];
-    }
-    return multiplier;
-  }
-
   // ========== Float exception detection ==========
 
   /** NaN, Inf, and -0.0 can never be encoded regardless of exponent/factor. */
@@ -83,9 +63,8 @@ static boolean isFloatException(float value, int exponent, int factor) {
     if (isFloatException(value)) {
       return true;
     }
-    float multiplier = getFloatMultiplier(exponent, factor);
-    float scaled = value * multiplier;
-    if (scaled > Integer.MAX_VALUE || scaled < Integer.MIN_VALUE) {
+    float scaled = value * FLOAT_POW10[exponent] * FLOAT_POW10_NEGATIVE[factor];
+    if (scaled > FLOAT_ENCODING_UPPER_LIMIT || scaled < FLOAT_ENCODING_LOWER_LIMIT) {
       return true;
     }
     int encoded = encodeFloat(value, exponent, factor);
@@ -94,15 +73,18 @@ static boolean isFloatException(float value, int exponent, int factor) {
   }
 
   // ========== Float encode/decode ==========
+  // Two-step multiplication matching C++ to produce identical floating-point rounding.
+  // C++ encode: value * 10^exponent * 10^(-factor)
+  // C++ decode: (float)encoded * 10^factor * 10^(-exponent)
 
-  /** Encode: round(value * 10^exponent / 10^factor) */
+  /** Encode: round(value * 10^exponent * 10^(-factor)) */
   static int encodeFloat(float value, int exponent, int factor) {
-    return fastRoundFloat(value * getFloatMultiplier(exponent, factor));
+    return fastRoundFloat(value * FLOAT_POW10[exponent] * FLOAT_POW10_NEGATIVE[factor]);
   }
 
-  /** Decode: encoded / 10^exponent * 10^factor */
+  /** Decode: encoded * 10^factor * 10^(-exponent) */
   static float decodeFloat(int encoded, int exponent, int factor) {
-    return encoded / getFloatMultiplier(exponent, factor);
+    return (float) encoded * FLOAT_POW10[factor] * FLOAT_POW10_NEGATIVE[exponent];
   }
 
   // Uses the 2^22+2^23 magic-number trick to round without branching on the FPU.
@@ -130,9 +112,8 @@ static boolean isDoubleException(double value, int exponent, int factor) {
     if (isDoubleException(value)) {
       return true;
     }
-    double multiplier = getDoubleMultiplier(exponent, factor);
-    double scaled = value * multiplier;
-    if (scaled > Long.MAX_VALUE || scaled < Long.MIN_VALUE) {
+    double scaled = value * DOUBLE_POW10[exponent] * DOUBLE_POW10_NEGATIVE[factor];
+    if (scaled > DOUBLE_ENCODING_UPPER_LIMIT || scaled < DOUBLE_ENCODING_LOWER_LIMIT) {
       return true;
     }
     long encoded = encodeDouble(value, exponent, factor);
@@ -141,13 +122,16 @@ static boolean isDoubleException(double value, int exponent, int factor) {
   }
 
   // ========== Double encode/decode ==========
+  // Two-step multiplication matching C++ to produce identical floating-point rounding.
 
+  /** Encode: round(value * 10^exponent * 10^(-factor)) */
   static long encodeDouble(double value, int exponent, int factor) {
-    return fastRoundDouble(value * getDoubleMultiplier(exponent, factor));
+    return fastRoundDouble(value * DOUBLE_POW10[exponent] * DOUBLE_POW10_NEGATIVE[factor]);
   }
 
+  /** Decode: encoded * 10^factor * 10^(-exponent) */
   static double decodeDouble(long encoded, int exponent, int factor) {
-    return encoded / getDoubleMultiplier(exponent, factor);
+    return (double) encoded * DOUBLE_POW10[factor] * DOUBLE_POW10_NEGATIVE[exponent];
   }
 
   // Same trick but with 2^51+2^52 for double precision.
diff --git a/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpCrossImplTest.java b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpCrossImplTest.java
new file mode 100644
index 0000000000..871cb26dd7
--- /dev/null
+++ b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpCrossImplTest.java
@@ -0,0 +1,303 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+package org.apache.parquet.column.values.alp;
+
+import static org.junit.Assert.*;
+
+import org.junit.Test;
+
+/**
+ * Cross-implementation tests: decode C++ reference blobs with the Java decoder.
+ *
+ * <p>Reference blobs were generated by the C++ Arrow ALP implementation using
+ * {@code generate_reference_blobs.cc}. These tests verify that the Java decoder
+ * produces bit-identical output for the same compressed bytes.
+ */
+public class AlpCrossImplTest {
+
+  // ========== Auto-generated reference data from C++ ==========
+
+  // === Float decimal values (16 elements) ===
+  private static final float[] FLOAT_DECIMAL_INPUT = {
+      Float.intBitsToFloat(0x00000000), Float.intBitsToFloat(0x3DCCCCCD),
+      Float.intBitsToFloat(0x3E4CCCCD), Float.intBitsToFloat(0x3E99999A),
+      Float.intBitsToFloat(0x3ECCCCCD), Float.intBitsToFloat(0x3F000000),
+      Float.intBitsToFloat(0x3F19999A), Float.intBitsToFloat(0x3F333333),
+      Float.intBitsToFloat(0x3F4CCCCD), Float.intBitsToFloat(0x3F666667),
+      Float.intBitsToFloat(0x3F800000), Float.intBitsToFloat(0x3F8CCCCD),
+      Float.intBitsToFloat(0x3F99999A), Float.intBitsToFloat(0x3FA66667),
+      Float.intBitsToFloat(0x3FB33333), Float.intBitsToFloat(0x3FC00000)
+  };
+
+  // FLOAT_DECIMAL_COMPRESSED (28 bytes)
+  private static final byte[] FLOAT_DECIMAL_COMPRESSED = {
+      (byte)0x00, (byte)0x00, (byte)0x0A, (byte)0x10, (byte)0x00, (byte)0x00, (byte)0x00,
+      (byte)0x04, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x07, (byte)0x06, (byte)0x00,
+      (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x04, (byte)0x10,
+      (byte)0x32, (byte)0x54, (byte)0x76, (byte)0x98, (byte)0xBA, (byte)0xDC, (byte)0xFE
+  };
+
+  // === Float integer values (16 elements) ===
+  private static final float[] FLOAT_INTEGER_INPUT = {
+      Float.intBitsToFloat(0x00000000), Float.intBitsToFloat(0x41200000),
+      Float.intBitsToFloat(0x41A00000), Float.intBitsToFloat(0x41F00000),
+      Float.intBitsToFloat(0x42200000), Float.intBitsToFloat(0x42480000),
+      Float.intBitsToFloat(0x42700000), Float.intBitsToFloat(0x428C0000),
+      Float.intBitsToFloat(0x42A00000), Float.intBitsToFloat(0x42B40000),
+      Float.intBitsToFloat(0x42C80000), Float.intBitsToFloat(0x42DC0000),
+      Float.intBitsToFloat(0x42F00000), Float.intBitsToFloat(0x43020000),
+      Float.intBitsToFloat(0x430C0000), Float.intBitsToFloat(0x43160000)
+  };
+
+  // FLOAT_INTEGER_COMPRESSED (36 bytes)
+  private static final byte[] FLOAT_INTEGER_COMPRESSED = {
+      (byte)0x00, (byte)0x00, (byte)0x0A, (byte)0x10, (byte)0x00, (byte)0x00, (byte)0x00,
+      (byte)0x04, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x07, (byte)0x07, (byte)0x00,
+      (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x08, (byte)0x00,
+      (byte)0x0A, (byte)0x14, (byte)0x1E, (byte)0x28, (byte)0x32, (byte)0x3C, (byte)0x46,
+      (byte)0x50, (byte)0x5A, (byte)0x64, (byte)0x6E, (byte)0x78, (byte)0x82, (byte)0x8C,
+      (byte)0x96
+  };
+
+  // === Float with special values (16 elements) ===
+  private static final float[] FLOAT_SPECIAL_INPUT = {
+      Float.intBitsToFloat(0x00000000), Float.intBitsToFloat(0x3FC00000),
+      Float.intBitsToFloat(0x40400000), Float.intBitsToFloat(0x7FC00000),
+      Float.intBitsToFloat(0x40C00000), Float.intBitsToFloat(0x40F00000),
+      Float.intBitsToFloat(0x41100000), Float.intBitsToFloat(0x7F800000),
+      Float.intBitsToFloat(0x41400000), Float.intBitsToFloat(0x41580000),
+      Float.intBitsToFloat(0x41700000), Float.intBitsToFloat(0xFF800000),
+      Float.intBitsToFloat(0x41900000), Float.intBitsToFloat(0x419C0000),
+      Float.intBitsToFloat(0x80000000), Float.intBitsToFloat(0x41B40000)
+  };
+
+  // FLOAT_SPECIAL_COMPRESSED (60 bytes)
+  private static final byte[] FLOAT_SPECIAL_COMPRESSED = {
+      (byte)0x00, (byte)0x00, (byte)0x0A, (byte)0x10, (byte)0x00, (byte)0x00, (byte)0x00,
+      (byte)0x04, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x07, (byte)0x06, (byte)0x04,
+      (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x08, (byte)0x00,
+      (byte)0x0F, (byte)0x1E, (byte)0x00, (byte)0x3C, (byte)0x4B, (byte)0x5A, (byte)0x00,
+      (byte)0x78, (byte)0x87, (byte)0x96, (byte)0x00, (byte)0xB4, (byte)0xC3, (byte)0x00,
+      (byte)0xE1, (byte)0x03, (byte)0x00, (byte)0x07, (byte)0x00, (byte)0x0B, (byte)0x00,
+      (byte)0x0E, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0xC0, (byte)0x7F, (byte)0x00,
+      (byte)0x00, (byte)0x80, (byte)0x7F, (byte)0x00, (byte)0x00, (byte)0x80, (byte)0xFF,
+      (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x80
+  };
+
+  // === Double decimal values (16 elements) ===
+  private static final double[] DOUBLE_DECIMAL_INPUT = {
+      Double.longBitsToDouble(0x0000000000000000L),
+      Double.longBitsToDouble(0x3F847AE147AE147BL),
+      Double.longBitsToDouble(0x3F947AE147AE147BL),
+      Double.longBitsToDouble(0x3F9EB851EB851EB8L),
+      Double.longBitsToDouble(0x3FA47AE147AE147BL),
+      Double.longBitsToDouble(0x3FA999999999999AL),
+      Double.longBitsToDouble(0x3FAEB851EB851EB8L),
+      Double.longBitsToDouble(0x3FB1EB851EB851ECL),
+      Double.longBitsToDouble(0x3FB47AE147AE147BL),
+      Double.longBitsToDouble(0x3FB70A3D70A3D70AL),
+      Double.longBitsToDouble(0x3FB999999999999AL),
+      Double.longBitsToDouble(0x3FBC28F5C28F5C29L),
+      Double.longBitsToDouble(0x3FBEB851EB851EB8L),
+      Double.longBitsToDouble(0x3FC0A3D70A3D70A4L),
+      Double.longBitsToDouble(0x3FC1EB851EB851ECL),
+      Double.longBitsToDouble(0x3FC3333333333333L)
+  };
+
+  // DOUBLE_DECIMAL_COMPRESSED (32 bytes)
+  private static final byte[] DOUBLE_DECIMAL_COMPRESSED = {
+      (byte)0x00, (byte)0x00, (byte)0x0A, (byte)0x10, (byte)0x00, (byte)0x00, (byte)0x00,
+      (byte)0x04, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x0E, (byte)0x0C, (byte)0x00,
+      (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x00,
+      (byte)0x00, (byte)0x00, (byte)0x04, (byte)0x10, (byte)0x32, (byte)0x54, (byte)0x76,
+      (byte)0x98, (byte)0xBA, (byte)0xDC, (byte)0xFE
+  };
+
+  // === Double integer values (16 elements) ===
+  private static final double[] DOUBLE_INTEGER_INPUT = {
+      Double.longBitsToDouble(0x0000000000000000L),
+      Double.longBitsToDouble(0x4024000000000000L),
+      Double.longBitsToDouble(0x4034000000000000L),
+      Double.longBitsToDouble(0x403E000000000000L),
+      Double.longBitsToDouble(0x4044000000000000L),
+      Double.longBitsToDouble(0x4049000000000000L),
+      Double.longBitsToDouble(0x404E000000000000L),
+      Double.longBitsToDouble(0x4051800000000000L),
+      Double.longBitsToDouble(0x4054000000000000L),
+      Double.longBitsToDouble(0x4056800000000000L),
+      Double.longBitsToDouble(0x4059000000000000L),
+      Double.longBitsToDouble(0x405B800000000000L),
+      Double.longBitsToDouble(0x405E000000000000L),
+      Double.longBitsToDouble(0x4060400000000000L),
+      Double.longBitsToDouble(0x4061800000000000L),
+      Double.longBitsToDouble(0x4062C00000000000L)
+  };
+
+  // DOUBLE_INTEGER_COMPRESSED (40 bytes)
+  private static final byte[] DOUBLE_INTEGER_COMPRESSED = {
+      (byte)0x00, (byte)0x00, (byte)0x0A, (byte)0x10, (byte)0x00, (byte)0x00, (byte)0x00,
+      (byte)0x04, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x10, (byte)0x10, (byte)0x00,
+      (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x00,
+      (byte)0x00, (byte)0x00, (byte)0x08, (byte)0x00, (byte)0x0A, (byte)0x14, (byte)0x1E,
+      (byte)0x28, (byte)0x32, (byte)0x3C, (byte)0x46, (byte)0x50, (byte)0x5A, (byte)0x64,
+      (byte)0x6E, (byte)0x78, (byte)0x82, (byte)0x8C, (byte)0x96
+  };
+
+  // === Float constant (16 elements) ===
+  private static final float[] FLOAT_CONSTANT_INPUT = {
+      Float.intBitsToFloat(0x4048F5C3), Float.intBitsToFloat(0x4048F5C3),
+      Float.intBitsToFloat(0x4048F5C3), Float.intBitsToFloat(0x4048F5C3),
+      Float.intBitsToFloat(0x4048F5C3), Float.intBitsToFloat(0x4048F5C3),
+      Float.intBitsToFloat(0x4048F5C3), Float.intBitsToFloat(0x4048F5C3),
+      Float.intBitsToFloat(0x4048F5C3), Float.intBitsToFloat(0x4048F5C3),
+      Float.intBitsToFloat(0x4048F5C3), Float.intBitsToFloat(0x4048F5C3),
+      Float.intBitsToFloat(0x4048F5C3), Float.intBitsToFloat(0x4048F5C3),
+      Float.intBitsToFloat(0x4048F5C3), Float.intBitsToFloat(0x4048F5C3)
+  };
+
+  // FLOAT_CONSTANT_COMPRESSED (20 bytes)
+  private static final byte[] FLOAT_CONSTANT_COMPRESSED = {
+      (byte)0x00, (byte)0x00, (byte)0x0A, (byte)0x10, (byte)0x00, (byte)0x00, (byte)0x00,
+      (byte)0x04, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x0A, (byte)0x08, (byte)0x00,
+      (byte)0x00, (byte)0x3A, (byte)0x01, (byte)0x00, (byte)0x00, (byte)0x00
+  };
+
+  // === Double constant (16 elements) ===
+  private static final double[] DOUBLE_CONSTANT_INPUT = {
+      Double.longBitsToDouble(0x40091EB851EB851FL),
+      Double.longBitsToDouble(0x40091EB851EB851FL),
+      Double.longBitsToDouble(0x40091EB851EB851FL),
+      Double.longBitsToDouble(0x40091EB851EB851FL),
+      Double.longBitsToDouble(0x40091EB851EB851FL),
+      Double.longBitsToDouble(0x40091EB851EB851FL),
+      Double.longBitsToDouble(0x40091EB851EB851FL),
+      Double.longBitsToDouble(0x40091EB851EB851FL),
+      Double.longBitsToDouble(0x40091EB851EB851FL),
+      Double.longBitsToDouble(0x40091EB851EB851FL),
+      Double.longBitsToDouble(0x40091EB851EB851FL),
+      Double.longBitsToDouble(0x40091EB851EB851FL),
+      Double.longBitsToDouble(0x40091EB851EB851FL),
+      Double.longBitsToDouble(0x40091EB851EB851FL),
+      Double.longBitsToDouble(0x40091EB851EB851FL),
+      Double.longBitsToDouble(0x40091EB851EB851FL)
+  };
+
+  // DOUBLE_CONSTANT_COMPRESSED (24 bytes)
+  private static final byte[] DOUBLE_CONSTANT_COMPRESSED = {
+      (byte)0x00, (byte)0x00, (byte)0x0A, (byte)0x10, (byte)0x00, (byte)0x00, (byte)0x00,
+      (byte)0x04, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x12, (byte)0x10, (byte)0x00,
+      (byte)0x00, (byte)0x3A, (byte)0x01, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x00,
+      (byte)0x00, (byte)0x00, (byte)0x00
+  };
+
+  // ========== Tests: decode C++ blobs, verify output matches input ==========
+
+  @Test
+  public void testDecodeFloatDecimal() {
+    float[] output = new float[FLOAT_DECIMAL_INPUT.length];
+    AlpWrapper.decodeFloats(
+        FLOAT_DECIMAL_COMPRESSED, FLOAT_DECIMAL_COMPRESSED.length,
+        output, FLOAT_DECIMAL_INPUT.length);
+    assertFloatArrayBitEqual(FLOAT_DECIMAL_INPUT, output);
+  }
+
+  @Test
+  public void testDecodeFloatInteger() {
+    float[] output = new float[FLOAT_INTEGER_INPUT.length];
+    AlpWrapper.decodeFloats(
+        FLOAT_INTEGER_COMPRESSED, FLOAT_INTEGER_COMPRESSED.length,
+        output, FLOAT_INTEGER_INPUT.length);
+    assertFloatArrayBitEqual(FLOAT_INTEGER_INPUT, output);
+  }
+
+  @Test
+  public void testDecodeFloatSpecial() {
+    float[] output = new float[FLOAT_SPECIAL_INPUT.length];
+    AlpWrapper.decodeFloats(
+        FLOAT_SPECIAL_COMPRESSED, FLOAT_SPECIAL_COMPRESSED.length,
+        output, FLOAT_SPECIAL_INPUT.length);
+    assertFloatArrayBitEqual(FLOAT_SPECIAL_INPUT, output);
+  }
+
+  @Test
+  public void testDecodeDoubleDecimal() {
+    double[] output = new double[DOUBLE_DECIMAL_INPUT.length];
+    AlpWrapper.decodeDoubles(
+        DOUBLE_DECIMAL_COMPRESSED, DOUBLE_DECIMAL_COMPRESSED.length,
+        output, DOUBLE_DECIMAL_INPUT.length);
+    assertDoubleArrayBitEqual(DOUBLE_DECIMAL_INPUT, output);
+  }
+
+  @Test
+  public void testDecodeDoubleInteger() {
+    double[] output = new double[DOUBLE_INTEGER_INPUT.length];
+    AlpWrapper.decodeDoubles(
+        DOUBLE_INTEGER_COMPRESSED, DOUBLE_INTEGER_COMPRESSED.length,
+        output, DOUBLE_INTEGER_INPUT.length);
+    assertDoubleArrayBitEqual(DOUBLE_INTEGER_INPUT, output);
+  }
+
+  @Test
+  public void testDecodeFloatConstant() {
+    float[] output = new float[FLOAT_CONSTANT_INPUT.length];
+    AlpWrapper.decodeFloats(
+        FLOAT_CONSTANT_COMPRESSED, FLOAT_CONSTANT_COMPRESSED.length,
+        output, FLOAT_CONSTANT_INPUT.length);
+    assertFloatArrayBitEqual(FLOAT_CONSTANT_INPUT, output);
+  }
+
+  @Test
+  public void testDecodeDoubleConstant() {
+    double[] output = new double[DOUBLE_CONSTANT_INPUT.length];
+    AlpWrapper.decodeDoubles(
+        DOUBLE_CONSTANT_COMPRESSED, DOUBLE_CONSTANT_COMPRESSED.length,
+        output, DOUBLE_CONSTANT_INPUT.length);
+    assertDoubleArrayBitEqual(DOUBLE_CONSTANT_INPUT, output);
+  }
+
+  // ========== Helpers ==========
+
+  private static void assertFloatArrayBitEqual(float[] expected, float[] actual) {
+    assertEquals("array length mismatch", expected.length, actual.length);
+    for (int i = 0; i < expected.length; i++) {
+      assertEquals(
+          "Mismatch at index " + i
+              + ": expected " + expected[i] + " (0x"
+              + Integer.toHexString(Float.floatToRawIntBits(expected[i]))
+              + "), got " + actual[i] + " (0x"
+              + Integer.toHexString(Float.floatToRawIntBits(actual[i])) + ")",
+          Float.floatToRawIntBits(expected[i]),
+          Float.floatToRawIntBits(actual[i]));
+    }
+  }
+
+  private static void assertDoubleArrayBitEqual(double[] expected, double[] actual) {
+    assertEquals("array length mismatch", expected.length, actual.length);
+    for (int i = 0; i < expected.length; i++) {
+      assertEquals(
+          "Mismatch at index " + i
+              + ": expected " + expected[i] + " (0x"
+              + Long.toHexString(Double.doubleToRawLongBits(expected[i]))
+              + "), got " + actual[i] + " (0x"
+              + Long.toHexString(Double.doubleToRawLongBits(actual[i])) + ")",
+          Double.doubleToRawLongBits(expected[i]),
+          Double.doubleToRawLongBits(actual[i]));
+    }
+  }
+}

From 1d4e46d24964db51b1ac24f321366fb74057aecd Mon Sep 17 00:00:00 2001
From: Prateek Gaur <prateek.gaur@snowflake.com>
Date: Sat, 7 Mar 2026 19:50:57 +0000
Subject: [PATCH 09/24] ALP: Add encoding benchmark for float and double
 throughput

Benchmark measuring ALP encode and decode throughput across 4 data
patterns (decimal, integer, constant, mixed with specials) for both
float and double types. Reports compression ratios at startup.

Uses carrotsearch JUnit Benchmarks framework matching existing encoding
benchmarks in parquet-column (delta, deltalengthbytearray).
---
 .../alp/benchmark/AlpEncodingBenchmark.java   | 321 ++++++++++++++++++
 1 file changed, 321 insertions(+)
 create mode 100644 parquet-column/src/test/java/org/apache/parquet/column/values/alp/benchmark/AlpEncodingBenchmark.java

diff --git a/parquet-column/src/test/java/org/apache/parquet/column/values/alp/benchmark/AlpEncodingBenchmark.java b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/benchmark/AlpEncodingBenchmark.java
new file mode 100644
index 0000000000..c0d655d894
--- /dev/null
+++ b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/benchmark/AlpEncodingBenchmark.java
@@ -0,0 +1,321 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+package org.apache.parquet.column.values.alp.benchmark;
+
+import com.carrotsearch.junitbenchmarks.BenchmarkOptions;
+import com.carrotsearch.junitbenchmarks.BenchmarkRule;
+import com.carrotsearch.junitbenchmarks.annotation.AxisRange;
+import com.carrotsearch.junitbenchmarks.annotation.BenchmarkMethodChart;
+import java.io.IOException;
+import java.nio.ByteBuffer;
+import java.util.Random;
+import org.apache.parquet.bytes.ByteBufferInputStream;
+import org.apache.parquet.column.values.alp.AlpValuesReaderForDouble;
+import org.apache.parquet.column.values.alp.AlpValuesReaderForFloat;
+import org.apache.parquet.column.values.alp.AlpValuesWriter;
+import org.junit.BeforeClass;
+import org.junit.Rule;
+import org.junit.Test;
+
+/**
+ * Benchmark for ALP (Adaptive Lossless floating-Point) encoding.
+ *
+ * <p>Measures encode and decode throughput for float and double values across
+ * multiple data patterns: decimal, integer, constant, and mixed with special
+ * values. Also reports compressed size for compression ratio analysis.
+ *
+ * <p>Mirrors the C++ parquet-encoding-alp-benchmark for cross-language
+ * performance comparison.
+ */
+@AxisRange(min = 0, max = 1)
+@BenchmarkMethodChart(filePrefix = "benchmark-alp-encoding")
+public class AlpEncodingBenchmark {
+
+  private static final int NUM_VALUES = 50_000; // matching C++ benchmark element count
+
+  @Rule
+  public org.junit.rules.TestRule benchmarkRun = new BenchmarkRule();
+
+  // ========== Float data & compressed blobs ==========
+  private static float[] floatDecimalData;
+  private static float[] floatIntegerData;
+  private static float[] floatConstantData;
+  private static float[] floatMixedData;
+
+  private static byte[] floatDecimalCompressed;
+  private static byte[] floatIntegerCompressed;
+  private static byte[] floatConstantCompressed;
+  private static byte[] floatMixedCompressed;
+
+  // ========== Double data & compressed blobs ==========
+  private static double[] doubleDecimalData;
+  private static double[] doubleIntegerData;
+  private static double[] doubleConstantData;
+  private static double[] doubleMixedData;
+
+  private static byte[] doubleDecimalCompressed;
+  private static byte[] doubleIntegerCompressed;
+  private static byte[] doubleConstantCompressed;
+  private static byte[] doubleMixedCompressed;
+
+  @BeforeClass
+  public static void prepare() throws IOException {
+    Random rng = new Random(42);
+
+    // --- Float datasets ---
+    floatDecimalData = new float[NUM_VALUES];
+    for (int i = 0; i < NUM_VALUES; i++) {
+      floatDecimalData[i] = Math.round(rng.nextFloat() * 10000) / 100.0f;
+    }
+
+    floatIntegerData = new float[NUM_VALUES];
+    for (int i = 0; i < NUM_VALUES; i++) {
+      floatIntegerData[i] = (float) (rng.nextInt(100000));
+    }
+
+    floatConstantData = new float[NUM_VALUES];
+    for (int i = 0; i < NUM_VALUES; i++) {
+      floatConstantData[i] = 3.14f;
+    }
+
+    floatMixedData = new float[NUM_VALUES];
+    for (int i = 0; i < NUM_VALUES; i++) {
+      floatMixedData[i] = Math.round(rng.nextFloat() * 10000) / 100.0f;
+    }
+    // Inject ~2% special values
+    for (int i = 0; i < NUM_VALUES; i += 50) {
+      switch (i % 200) {
+        case 0:
+          floatMixedData[i] = Float.NaN;
+          break;
+        case 50:
+          floatMixedData[i] = Float.POSITIVE_INFINITY;
+          break;
+        case 100:
+          floatMixedData[i] = Float.NEGATIVE_INFINITY;
+          break;
+        case 150:
+          floatMixedData[i] = -0.0f;
+          break;
+      }
+    }
+
+    // --- Double datasets ---
+    doubleDecimalData = new double[NUM_VALUES];
+    for (int i = 0; i < NUM_VALUES; i++) {
+      doubleDecimalData[i] = Math.round(rng.nextDouble() * 10000) / 100.0;
+    }
+
+    doubleIntegerData = new double[NUM_VALUES];
+    for (int i = 0; i < NUM_VALUES; i++) {
+      doubleIntegerData[i] = (double) (rng.nextInt(100000));
+    }
+
+    doubleConstantData = new double[NUM_VALUES];
+    for (int i = 0; i < NUM_VALUES; i++) {
+      doubleConstantData[i] = 3.14;
+    }
+
+    doubleMixedData = new double[NUM_VALUES];
+    for (int i = 0; i < NUM_VALUES; i++) {
+      doubleMixedData[i] = Math.round(rng.nextDouble() * 10000) / 100.0;
+    }
+    for (int i = 0; i < NUM_VALUES; i += 50) {
+      switch (i % 200) {
+        case 0:
+          doubleMixedData[i] = Double.NaN;
+          break;
+        case 50:
+          doubleMixedData[i] = Double.POSITIVE_INFINITY;
+          break;
+        case 100:
+          doubleMixedData[i] = Double.NEGATIVE_INFINITY;
+          break;
+        case 150:
+          doubleMixedData[i] = -0.0;
+          break;
+      }
+    }
+
+    // --- Pre-compress all datasets ---
+    floatDecimalCompressed = compressFloats(floatDecimalData);
+    floatIntegerCompressed = compressFloats(floatIntegerData);
+    floatConstantCompressed = compressFloats(floatConstantData);
+    floatMixedCompressed = compressFloats(floatMixedData);
+
+    doubleDecimalCompressed = compressDoubles(doubleDecimalData);
+    doubleIntegerCompressed = compressDoubles(doubleIntegerData);
+    doubleConstantCompressed = compressDoubles(doubleConstantData);
+    doubleMixedCompressed = compressDoubles(doubleMixedData);
+
+    // --- Print compression ratios ---
+    System.out.println("=== ALP Compression Ratios ===");
+    printRatio("Float decimal", floatDecimalCompressed.length, NUM_VALUES * 4);
+    printRatio("Float integer", floatIntegerCompressed.length, NUM_VALUES * 4);
+    printRatio("Float constant", floatConstantCompressed.length, NUM_VALUES * 4);
+    printRatio("Float mixed", floatMixedCompressed.length, NUM_VALUES * 4);
+    printRatio("Double decimal", doubleDecimalCompressed.length, NUM_VALUES * 8);
+    printRatio("Double integer", doubleIntegerCompressed.length, NUM_VALUES * 8);
+    printRatio("Double constant", doubleConstantCompressed.length, NUM_VALUES * 8);
+    printRatio("Double mixed", doubleMixedCompressed.length, NUM_VALUES * 8);
+  }
+
+  private static void printRatio(String label, int compressedSize, int rawSize) {
+    double ratio = 100.0 * compressedSize / rawSize;
+    System.out.printf("  %-20s: %6d / %6d bytes = %5.1f%%%n", label, compressedSize, rawSize, ratio);
+  }
+
+  // ========== Float encode benchmarks ==========
+
+  @BenchmarkOptions(benchmarkRounds = 20, warmupRounds = 10)
+  @Test
+  public void encodeFloatDecimal() throws IOException {
+    compressFloats(floatDecimalData);
+  }
+
+  @BenchmarkOptions(benchmarkRounds = 20, warmupRounds = 10)
+  @Test
+  public void encodeFloatInteger() throws IOException {
+    compressFloats(floatIntegerData);
+  }
+
+  @BenchmarkOptions(benchmarkRounds = 20, warmupRounds = 10)
+  @Test
+  public void encodeFloatConstant() throws IOException {
+    compressFloats(floatConstantData);
+  }
+
+  @BenchmarkOptions(benchmarkRounds = 20, warmupRounds = 10)
+  @Test
+  public void encodeFloatMixed() throws IOException {
+    compressFloats(floatMixedData);
+  }
+
+  // ========== Float decode benchmarks ==========
+
+  @BenchmarkOptions(benchmarkRounds = 20, warmupRounds = 10)
+  @Test
+  public void decodeFloatDecimal() throws IOException {
+    decompressFloats(floatDecimalCompressed, NUM_VALUES);
+  }
+
+  @BenchmarkOptions(benchmarkRounds = 20, warmupRounds = 10)
+  @Test
+  public void decodeFloatInteger() throws IOException {
+    decompressFloats(floatIntegerCompressed, NUM_VALUES);
+  }
+
+  @BenchmarkOptions(benchmarkRounds = 20, warmupRounds = 10)
+  @Test
+  public void decodeFloatConstant() throws IOException {
+    decompressFloats(floatConstantCompressed, NUM_VALUES);
+  }
+
+  @BenchmarkOptions(benchmarkRounds = 20, warmupRounds = 10)
+  @Test
+  public void decodeFloatMixed() throws IOException {
+    decompressFloats(floatMixedCompressed, NUM_VALUES);
+  }
+
+  // ========== Double encode benchmarks ==========
+
+  @BenchmarkOptions(benchmarkRounds = 20, warmupRounds = 10)
+  @Test
+  public void encodeDoubleDecimal() throws IOException {
+    compressDoubles(doubleDecimalData);
+  }
+
+  @BenchmarkOptions(benchmarkRounds = 20, warmupRounds = 10)
+  @Test
+  public void encodeDoubleInteger() throws IOException {
+    compressDoubles(doubleIntegerData);
+  }
+
+  @BenchmarkOptions(benchmarkRounds = 20, warmupRounds = 10)
+  @Test
+  public void encodeDoubleConstant() throws IOException {
+    compressDoubles(doubleConstantData);
+  }
+
+  @BenchmarkOptions(benchmarkRounds = 20, warmupRounds = 10)
+  @Test
+  public void encodeDoubleMixed() throws IOException {
+    compressDoubles(doubleMixedData);
+  }
+
+  // ========== Double decode benchmarks ==========
+
+  @BenchmarkOptions(benchmarkRounds = 20, warmupRounds = 10)
+  @Test
+  public void decodeDoubleDecimal() throws IOException {
+    decompressDoubles(doubleDecimalCompressed, NUM_VALUES);
+  }
+
+  @BenchmarkOptions(benchmarkRounds = 20, warmupRounds = 10)
+  @Test
+  public void decodeDoubleInteger() throws IOException {
+    decompressDoubles(doubleIntegerCompressed, NUM_VALUES);
+  }
+
+  @BenchmarkOptions(benchmarkRounds = 20, warmupRounds = 10)
+  @Test
+  public void decodeDoubleConstant() throws IOException {
+    decompressDoubles(doubleConstantCompressed, NUM_VALUES);
+  }
+
+  @BenchmarkOptions(benchmarkRounds = 20, warmupRounds = 10)
+  @Test
+  public void decodeDoubleMixed() throws IOException {
+    decompressDoubles(doubleMixedCompressed, NUM_VALUES);
+  }
+
+  // ========== Helpers ==========
+
+  private static byte[] compressFloats(float[] values) throws IOException {
+    AlpValuesWriter.FloatAlpValuesWriter writer = new AlpValuesWriter.FloatAlpValuesWriter();
+    for (float v : values) {
+      writer.writeFloat(v);
+    }
+    return writer.getBytes().toByteArray();
+  }
+
+  private static byte[] compressDoubles(double[] values) throws IOException {
+    AlpValuesWriter.DoubleAlpValuesWriter writer = new AlpValuesWriter.DoubleAlpValuesWriter();
+    for (double v : values) {
+      writer.writeDouble(v);
+    }
+    return writer.getBytes().toByteArray();
+  }
+
+  private static void decompressFloats(byte[] compressed, int numValues) throws IOException {
+    AlpValuesReaderForFloat reader = new AlpValuesReaderForFloat();
+    reader.initFromPage(numValues, ByteBufferInputStream.wrap(ByteBuffer.wrap(compressed)));
+    for (int i = 0; i < numValues; i++) {
+      reader.readFloat();
+    }
+  }
+
+  private static void decompressDoubles(byte[] compressed, int numValues) throws IOException {
+    AlpValuesReaderForDouble reader = new AlpValuesReaderForDouble();
+    reader.initFromPage(numValues, ByteBufferInputStream.wrap(ByteBuffer.wrap(compressed)));
+    for (int i = 0; i < numValues; i++) {
+      reader.readDouble();
+    }
+  }
+}

From 1cb5ea588f48299cd739c48cc40c4b42299fc951 Mon Sep 17 00:00:00 2001
From: Prateek Gaur <prateek.gaur@snowflake.com>
Date: Sat, 7 Mar 2026 20:30:40 +0000
Subject: [PATCH 10/24] ALP: Wire up Encoding.ALP in column Encoding enum and
 AlpValuesWriter

Add ALP entry to org.apache.parquet.column.Encoding with getValuesReader
returning AlpValuesReaderForFloat/Double. Update AlpValuesWriter.getEncoding()
to return Encoding.ALP instead of the PLAIN placeholder.
---
 .../org/apache/parquet/column/Encoding.java   | 20 +++++++++++++++++++
 .../column/values/alp/AlpValuesWriter.java    |  3 +--
 2 files changed, 21 insertions(+), 2 deletions(-)

diff --git a/parquet-column/src/main/java/org/apache/parquet/column/Encoding.java b/parquet-column/src/main/java/org/apache/parquet/column/Encoding.java
index 874c99fded..1da687083d 100644
--- a/parquet-column/src/main/java/org/apache/parquet/column/Encoding.java
+++ b/parquet-column/src/main/java/org/apache/parquet/column/Encoding.java
@@ -29,6 +29,8 @@
 import org.apache.parquet.bytes.BytesUtils;
 import org.apache.parquet.column.page.DictionaryPage;
 import org.apache.parquet.column.values.ValuesReader;
+import org.apache.parquet.column.values.alp.AlpValuesReaderForDouble;
+import org.apache.parquet.column.values.alp.AlpValuesReaderForFloat;
 import org.apache.parquet.column.values.bitpacking.ByteBitPackingValuesReader;
 import org.apache.parquet.column.values.bytestreamsplit.ByteStreamSplitValuesReaderForDouble;
 import org.apache.parquet.column.values.bytestreamsplit.ByteStreamSplitValuesReaderForFLBA;
@@ -147,6 +149,24 @@ public ValuesReader getValuesReader(ColumnDescriptor descriptor, ValuesType valu
     }
   },
 
+  /**
+   * Adaptive Lossless floating-Point (ALP) encoding for FLOAT and DOUBLE columns.
+   */
+  ALP {
+    @Override
+    public ValuesReader getValuesReader(ColumnDescriptor descriptor, ValuesType valuesType) {
+      switch (descriptor.getType()) {
+        case FLOAT:
+          return new AlpValuesReaderForFloat();
+        case DOUBLE:
+          return new AlpValuesReaderForDouble();
+        default:
+          throw new ParquetDecodingException(
+              "Encoding ALP is only supported for type FLOAT and DOUBLE, got " + descriptor.getType());
+      }
+    }
+  },
+
   /**
    * @deprecated This is no longer used, and has been replaced by {@link #RLE}
    * which is combination of bit packing and rle
diff --git a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesWriter.java b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesWriter.java
index e4e57a4d09..3245f1405e 100644
--- a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesWriter.java
+++ b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesWriter.java
@@ -54,10 +54,9 @@ protected AlpValuesWriter() {
     this(DEFAULT_VECTOR_SIZE);
   }
 
-  // TODO: Replace with Encoding.ALP once ALP is added to parquet-format Thrift spec.
   @Override
   public Encoding getEncoding() {
-    return Encoding.PLAIN;
+    return Encoding.ALP;
   }
 
   @Override

From 0d7cd79c9b2367c7a39f533b34077cb25b75159a Mon Sep 17 00:00:00 2001
From: Prateek Gaur <prateek.gaur@snowflake.com>
Date: Sat, 7 Mar 2026 20:31:05 +0000
Subject: [PATCH 11/24] ALP: Apply spotless formatting fixes

---
 .../column/values/alp/AlpCompression.java     |  12 +-
 .../column/values/alp/AlpConstants.java       |   4 +-
 .../parquet/column/values/alp/AlpSampler.java |  13 +-
 .../column/values/alp/AlpValuesReader.java    |  12 +-
 .../parquet/column/values/alp/AlpWrapper.java |  77 +++---
 .../column/values/alp/AlpCompressionTest.java |  35 +--
 .../column/values/alp/AlpCrossImplTest.java   | 234 +++++++++---------
 .../column/values/alp/AlpSamplerTest.java     |  15 +-
 .../values/alp/AlpValuesReaderTest.java       |  36 +--
 .../values/alp/AlpValuesWriterTest.java       |  44 +---
 .../column/values/alp/AlpWrapperTest.java     |  24 +-
 11 files changed, 213 insertions(+), 293 deletions(-)

diff --git a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpCompression.java b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpCompression.java
index 7baf60abef..daf3c53cfd 100644
--- a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpCompression.java
+++ b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpCompression.java
@@ -89,8 +89,7 @@ void store(byte[] output, int offset) {
     }
 
     void storeDataOnly(byte[] output, int offset) {
-      ByteBuffer buf =
-          ByteBuffer.wrap(output, offset, dataStoredSize()).order(ByteOrder.LITTLE_ENDIAN);
+      ByteBuffer buf = ByteBuffer.wrap(output, offset, dataStoredSize()).order(ByteOrder.LITTLE_ENDIAN);
       storeDataTo(buf);
     }
 
@@ -169,8 +168,7 @@ void store(byte[] output, int offset) {
     }
 
     void storeDataOnly(byte[] output, int offset) {
-      ByteBuffer buf =
-          ByteBuffer.wrap(output, offset, dataStoredSize()).order(ByteOrder.LITTLE_ENDIAN);
+      ByteBuffer buf = ByteBuffer.wrap(output, offset, dataStoredSize()).order(ByteOrder.LITTLE_ENDIAN);
       storeDataTo(buf);
     }
 
@@ -212,8 +210,7 @@ static DoubleCompressedVector load(byte[] input, int offset, int numElements) {
 
   // ========== Compress float ==========
 
-  static FloatCompressedVector compressFloatVector(
-      float[] input, int count, AlpEncodingPreset preset) {
+  static FloatCompressedVector compressFloatVector(float[] input, int count, AlpEncodingPreset preset) {
     if (count == 0) {
       FloatCompressedVector r = new FloatCompressedVector();
       r.packedValues = new byte[0];
@@ -321,8 +318,7 @@ static void decompressFloatVector(FloatCompressedVector v, float[] output) {
 
   // ========== Compress double ==========
 
-  static DoubleCompressedVector compressDoubleVector(
-      double[] input, int count, AlpEncodingPreset preset) {
+  static DoubleCompressedVector compressDoubleVector(double[] input, int count, AlpEncodingPreset preset) {
     if (count == 0) {
       DoubleCompressedVector r = new DoubleCompressedVector();
       r.packedValues = new byte[0];
diff --git a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpConstants.java b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpConstants.java
index a4420bbecd..3be531d383 100644
--- a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpConstants.java
+++ b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpConstants.java
@@ -88,8 +88,8 @@ private AlpConstants() {
 
   // Negative powers of 10 as double, matching C++ PowerOfTenDouble(-power).
   static final double[] DOUBLE_POW10_NEGATIVE = {
-    1e0, 1e-1, 1e-2, 1e-3, 1e-4, 1e-5, 1e-6, 1e-7, 1e-8, 1e-9, 1e-10,
-    1e-11, 1e-12, 1e-13, 1e-14, 1e-15, 1e-16, 1e-17, 1e-18
+    1e0, 1e-1, 1e-2, 1e-3, 1e-4, 1e-5, 1e-6, 1e-7, 1e-8, 1e-9, 1e-10, 1e-11, 1e-12, 1e-13, 1e-14, 1e-15, 1e-16,
+    1e-17, 1e-18
   };
 
   // ========== Per-vector metadata sizes ==========
diff --git a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpSampler.java b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpSampler.java
index 20a9f3ac67..8acb1c42ca 100644
--- a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpSampler.java
+++ b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpSampler.java
@@ -21,7 +21,6 @@
 import static org.apache.parquet.column.values.alp.AlpConstants.*;
 
 import java.util.ArrayList;
-import java.util.Arrays;
 import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
@@ -63,8 +62,7 @@ void addSample(float[] data, int count) {
     }
 
     private void addSampleVector(float[] data, int offset, int length) {
-      boolean mustSkip = mustSkipSamplingFromCurrentVector(
-          vectorsCount, vectorsSampledCount, length);
+      boolean mustSkip = mustSkipSamplingFromCurrentVector(vectorsCount, vectorsSampledCount, length);
       vectorsCount++;
       totalValuesCount += length;
       if (mustSkip) {
@@ -129,8 +127,7 @@ void addSample(double[] data, int count) {
     }
 
     private void addSampleVector(double[] data, int offset, int length) {
-      boolean mustSkip = mustSkipSamplingFromCurrentVector(
-          vectorsCount, vectorsSampledCount, length);
+      boolean mustSkip = mustSkipSamplingFromCurrentVector(vectorsCount, vectorsSampledCount, length);
       vectorsCount++;
       totalValuesCount += length;
       if (mustSkip) {
@@ -209,8 +206,7 @@ private static long estimateFloatCompressedSize(
     return estimatedSize;
   }
 
-  static AlpCompression.AlpEncodingPreset createFloatEncodingPreset(
-      List<float[]> vectorsSampled) {
+  static AlpCompression.AlpEncodingPreset createFloatEncodingPreset(List<float[]> vectorsSampled) {
     // For each sampled vector, find the best (e,f) combo by estimated compressed size.
     // Count how many times each best combo appears across all sampled vectors.
     Map<Long, int[]> bestCombosCount = new HashMap<>(); // key = e<<8|f, value = [count]
@@ -299,8 +295,7 @@ private static long estimateDoubleCompressedSize(
     return estimatedSize;
   }
 
-  static AlpCompression.AlpEncodingPreset createDoubleEncodingPreset(
-      List<double[]> vectorsSampled) {
+  static AlpCompression.AlpEncodingPreset createDoubleEncodingPreset(List<double[]> vectorsSampled) {
     Map<Long, int[]> bestCombosCount = new HashMap<>();
 
     for (double[] sample : vectorsSampled) {
diff --git a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesReader.java b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesReader.java
index dc8c04c960..b6b8f3cb6b 100644
--- a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesReader.java
+++ b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesReader.java
@@ -48,8 +48,7 @@ abstract class AlpValuesReader extends ValuesReader {
   public void initFromPage(int valueCount, ByteBufferInputStream stream) throws IOException {
     int available = (int) stream.available();
     if (available < HEADER_SIZE) {
-      throw new ParquetDecodingException(
-          "ALP page too small for header: " + available + " bytes");
+      throw new ParquetDecodingException("ALP page too small for header: " + available + " bytes");
     }
 
     // Read header
@@ -63,12 +62,10 @@ public void initFromPage(int valueCount, ByteBufferInputStream stream) throws IO
     totalCount = header.getInt();
 
     if (compressionMode != COMPRESSION_MODE_ALP) {
-      throw new ParquetDecodingException(
-          "Unsupported ALP compression mode: " + compressionMode);
+      throw new ParquetDecodingException("Unsupported ALP compression mode: " + compressionMode);
     }
     if (integerEncoding != INTEGER_ENCODING_FOR) {
-      throw new ParquetDecodingException(
-          "Unsupported ALP integer encoding: " + integerEncoding);
+      throw new ParquetDecodingException("Unsupported ALP integer encoding: " + integerEncoding);
     }
 
     vectorSize = 1 << logVectorSize;
@@ -88,8 +85,7 @@ public void initFromPage(int valueCount, ByteBufferInputStream stream) throws IO
     stream.read(rawData);
 
     // Parse offsets from rawData
-    ByteBuffer body = ByteBuffer.wrap(rawData, 0, numVectors * OFFSET_SIZE)
-        .order(ByteOrder.LITTLE_ENDIAN);
+    ByteBuffer body = ByteBuffer.wrap(rawData, 0, numVectors * OFFSET_SIZE).order(ByteOrder.LITTLE_ENDIAN);
     vectorOffsets = new int[numVectors];
     for (int i = 0; i < numVectors; i++) {
       vectorOffsets[i] = body.getInt();
diff --git a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpWrapper.java b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpWrapper.java
index d66861e017..a10704d7a4 100644
--- a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpWrapper.java
+++ b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpWrapper.java
@@ -47,16 +47,14 @@ private AlpWrapper() {}
   // ========== Sampling presets ==========
 
   /** Create a sampling-based encoding preset for float data. */
-  public static AlpCompression.AlpEncodingPreset createFloatSamplingPreset(
-      float[] data, int count) {
+  public static AlpCompression.AlpEncodingPreset createFloatSamplingPreset(float[] data, int count) {
     AlpSampler.FloatSampler sampler = new AlpSampler.FloatSampler();
     sampler.addSample(data, count);
     return sampler.finalizeSampling();
   }
 
   /** Create a sampling-based encoding preset for double data. */
-  public static AlpCompression.AlpEncodingPreset createDoubleSamplingPreset(
-      double[] data, int count) {
+  public static AlpCompression.AlpEncodingPreset createDoubleSamplingPreset(double[] data, int count) {
     AlpSampler.DoubleSampler sampler = new AlpSampler.DoubleSampler();
     sampler.addSample(data, count);
     return sampler.finalizeSampling();
@@ -73,12 +71,10 @@ public static AlpCompression.AlpEncodingPreset createDoubleSamplingPreset(
    * @param preset the encoding preset from sampling
    * @return the number of compressed bytes written
    */
-  public static int encodeFloats(
-      float[] input, int count, byte[] output, AlpCompression.AlpEncodingPreset preset) {
+  public static int encodeFloats(float[] input, int count, byte[] output, AlpCompression.AlpEncodingPreset preset) {
     Preconditions.checkArgument(count >= 0, "count must be non-negative, got: %s", count);
     if (count == 0) {
-      writeHeader(output, 0, COMPRESSION_MODE_ALP, INTEGER_ENCODING_FOR,
-          DEFAULT_VECTOR_SIZE_LOG, 0);
+      writeHeader(output, 0, COMPRESSION_MODE_ALP, INTEGER_ENCODING_FOR, DEFAULT_VECTOR_SIZE_LOG, 0);
       return HEADER_SIZE;
     }
 
@@ -101,14 +97,14 @@ public static int encodeFloats(
     int currentOffset = offsetsSectionSize;
     for (int i = 0; i < numVectors; i++) {
       vectorOffsets[i] = currentOffset;
-      currentOffset += ALP_INFO_SIZE + FLOAT_FOR_INFO_SIZE + vectors.get(i).dataStoredSize();
+      currentOffset +=
+          ALP_INFO_SIZE + FLOAT_FOR_INFO_SIZE + vectors.get(i).dataStoredSize();
     }
     int bodySize = currentOffset;
     int totalSize = HEADER_SIZE + bodySize;
 
     // Phase 3: Write header
-    writeHeader(output, 0, COMPRESSION_MODE_ALP, INTEGER_ENCODING_FOR,
-        DEFAULT_VECTOR_SIZE_LOG, count);
+    writeHeader(output, 0, COMPRESSION_MODE_ALP, INTEGER_ENCODING_FOR, DEFAULT_VECTOR_SIZE_LOG, count);
 
     // Phase 4: Write offsets
     ByteBuffer buf = ByteBuffer.wrap(output, HEADER_SIZE, bodySize).order(ByteOrder.LITTLE_ENDIAN);
@@ -128,12 +124,10 @@ public static int encodeFloats(
 
   // ========== Encode doubles ==========
 
-  public static int encodeDoubles(
-      double[] input, int count, byte[] output, AlpCompression.AlpEncodingPreset preset) {
+  public static int encodeDoubles(double[] input, int count, byte[] output, AlpCompression.AlpEncodingPreset preset) {
     Preconditions.checkArgument(count >= 0, "count must be non-negative, got: %s", count);
     if (count == 0) {
-      writeHeader(output, 0, COMPRESSION_MODE_ALP, INTEGER_ENCODING_FOR,
-          DEFAULT_VECTOR_SIZE_LOG, 0);
+      writeHeader(output, 0, COMPRESSION_MODE_ALP, INTEGER_ENCODING_FOR, DEFAULT_VECTOR_SIZE_LOG, 0);
       return HEADER_SIZE;
     }
 
@@ -146,8 +140,7 @@ public static int encodeDoubles(
       int elementsInVector = Math.min(vectorSize, count - offset);
       double[] vectorInput = new double[elementsInVector];
       System.arraycopy(input, offset, vectorInput, 0, elementsInVector);
-      vectors.add(
-          AlpCompression.compressDoubleVector(vectorInput, elementsInVector, preset));
+      vectors.add(AlpCompression.compressDoubleVector(vectorInput, elementsInVector, preset));
     }
 
     int offsetsSectionSize = numVectors * OFFSET_SIZE;
@@ -161,8 +154,7 @@ public static int encodeDoubles(
     int bodySize = currentOffset;
     int totalSize = HEADER_SIZE + bodySize;
 
-    writeHeader(output, 0, COMPRESSION_MODE_ALP, INTEGER_ENCODING_FOR,
-        DEFAULT_VECTOR_SIZE_LOG, count);
+    writeHeader(output, 0, COMPRESSION_MODE_ALP, INTEGER_ENCODING_FOR, DEFAULT_VECTOR_SIZE_LOG, count);
 
     ByteBuffer buf = ByteBuffer.wrap(output, HEADER_SIZE, bodySize).order(ByteOrder.LITTLE_ENDIAN);
     for (int offset : vectorOffsets) {
@@ -188,10 +180,8 @@ public static int encodeDoubles(
    * @param output output float array (must hold numElements values)
    * @param numElements number of elements to decode
    */
-  public static void decodeFloats(
-      byte[] compressed, int compSize, float[] output, int numElements) {
-    Preconditions.checkArgument(compSize >= HEADER_SIZE,
-        "compressed size too small for header: %s", compSize);
+  public static void decodeFloats(byte[] compressed, int compSize, float[] output, int numElements) {
+    Preconditions.checkArgument(compSize >= HEADER_SIZE, "compressed size too small for header: %s", compSize);
 
     ByteBuffer header = ByteBuffer.wrap(compressed, 0, HEADER_SIZE).order(ByteOrder.LITTLE_ENDIAN);
     int compressionMode = header.get() & 0xFF;
@@ -199,10 +189,10 @@ public static void decodeFloats(
     int logVectorSize = header.get() & 0xFF;
     int storedNumElements = header.getInt();
 
-    Preconditions.checkArgument(compressionMode == COMPRESSION_MODE_ALP,
-        "unsupported compression mode: %s", compressionMode);
-    Preconditions.checkArgument(integerEncoding == INTEGER_ENCODING_FOR,
-        "unsupported integer encoding: %s", integerEncoding);
+    Preconditions.checkArgument(
+        compressionMode == COMPRESSION_MODE_ALP, "unsupported compression mode: %s", compressionMode);
+    Preconditions.checkArgument(
+        integerEncoding == INTEGER_ENCODING_FOR, "unsupported integer encoding: %s", integerEncoding);
 
     int vectorSize = 1 << logVectorSize;
     int numVectors = (storedNumElements + vectorSize - 1) / vectorSize;
@@ -210,8 +200,8 @@ public static void decodeFloats(
     if (numVectors == 0) return;
 
     // Read offsets
-    ByteBuffer body = ByteBuffer.wrap(compressed, HEADER_SIZE, compSize - HEADER_SIZE)
-        .order(ByteOrder.LITTLE_ENDIAN);
+    ByteBuffer body =
+        ByteBuffer.wrap(compressed, HEADER_SIZE, compSize - HEADER_SIZE).order(ByteOrder.LITTLE_ENDIAN);
     int[] vectorOffsets = new int[numVectors];
     for (int i = 0; i < numVectors; i++) {
       vectorOffsets[i] = body.getInt();
@@ -234,18 +224,16 @@ public static void decodeFloats(
 
       float[] vectorOutput = new float[elementsInVector];
       AlpCompression.decompressFloatVector(cv, vectorOutput);
-      System.arraycopy(vectorOutput, 0, output, outputOffset,
-          Math.min(elementsInVector, numElements - outputOffset));
+      System.arraycopy(
+          vectorOutput, 0, output, outputOffset, Math.min(elementsInVector, numElements - outputOffset));
       outputOffset += elementsInVector;
     }
   }
 
   // ========== Decode doubles ==========
 
-  public static void decodeDoubles(
-      byte[] compressed, int compSize, double[] output, int numElements) {
-    Preconditions.checkArgument(compSize >= HEADER_SIZE,
-        "compressed size too small for header: %s", compSize);
+  public static void decodeDoubles(byte[] compressed, int compSize, double[] output, int numElements) {
+    Preconditions.checkArgument(compSize >= HEADER_SIZE, "compressed size too small for header: %s", compSize);
 
     ByteBuffer header = ByteBuffer.wrap(compressed, 0, HEADER_SIZE).order(ByteOrder.LITTLE_ENDIAN);
     int compressionMode = header.get() & 0xFF;
@@ -253,18 +241,18 @@ public static void decodeDoubles(
     int logVectorSize = header.get() & 0xFF;
     int storedNumElements = header.getInt();
 
-    Preconditions.checkArgument(compressionMode == COMPRESSION_MODE_ALP,
-        "unsupported compression mode: %s", compressionMode);
-    Preconditions.checkArgument(integerEncoding == INTEGER_ENCODING_FOR,
-        "unsupported integer encoding: %s", integerEncoding);
+    Preconditions.checkArgument(
+        compressionMode == COMPRESSION_MODE_ALP, "unsupported compression mode: %s", compressionMode);
+    Preconditions.checkArgument(
+        integerEncoding == INTEGER_ENCODING_FOR, "unsupported integer encoding: %s", integerEncoding);
 
     int vectorSize = 1 << logVectorSize;
     int numVectors = (storedNumElements + vectorSize - 1) / vectorSize;
 
     if (numVectors == 0) return;
 
-    ByteBuffer body = ByteBuffer.wrap(compressed, HEADER_SIZE, compSize - HEADER_SIZE)
-        .order(ByteOrder.LITTLE_ENDIAN);
+    ByteBuffer body =
+        ByteBuffer.wrap(compressed, HEADER_SIZE, compSize - HEADER_SIZE).order(ByteOrder.LITTLE_ENDIAN);
     int[] vectorOffsets = new int[numVectors];
     for (int i = 0; i < numVectors; i++) {
       vectorOffsets[i] = body.getInt();
@@ -286,8 +274,8 @@ public static void decodeDoubles(
 
       double[] vectorOutput = new double[elementsInVector];
       AlpCompression.decompressDoubleVector(cv, vectorOutput);
-      System.arraycopy(vectorOutput, 0, output, outputOffset,
-          Math.min(elementsInVector, numElements - outputOffset));
+      System.arraycopy(
+          vectorOutput, 0, output, outputOffset, Math.min(elementsInVector, numElements - outputOffset));
       outputOffset += elementsInVector;
     }
   }
@@ -322,8 +310,7 @@ public static long maxCompressedSizeDouble(int numElements) {
   // ========== Header helpers ==========
 
   private static void writeHeader(
-      byte[] output, int offset, int compressionMode, int integerEncoding,
-      int logVectorSize, int numElements) {
+      byte[] output, int offset, int compressionMode, int integerEncoding, int logVectorSize, int numElements) {
     ByteBuffer buf = ByteBuffer.wrap(output, offset, HEADER_SIZE).order(ByteOrder.LITTLE_ENDIAN);
     buf.put((byte) compressionMode);
     buf.put((byte) integerEncoding);
diff --git a/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpCompressionTest.java b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpCompressionTest.java
index 5cd00d6e41..9f840016da 100644
--- a/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpCompressionTest.java
+++ b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpCompressionTest.java
@@ -51,22 +51,18 @@ private static AlpCompression.AlpEncodingPreset allDoubleCombos() {
 
   private static void assertFloatRoundTrip(float[] input) {
     AlpCompression.AlpEncodingPreset preset = allFloatCombos();
-    AlpCompression.FloatCompressedVector cv =
-        AlpCompression.compressFloatVector(input, input.length, preset);
+    AlpCompression.FloatCompressedVector cv = AlpCompression.compressFloatVector(input, input.length, preset);
     float[] output = new float[input.length];
     AlpCompression.decompressFloatVector(cv, output);
     for (int i = 0; i < input.length; i++) {
       assertEquals(
-          "Mismatch at index " + i,
-          Float.floatToRawIntBits(input[i]),
-          Float.floatToRawIntBits(output[i]));
+          "Mismatch at index " + i, Float.floatToRawIntBits(input[i]), Float.floatToRawIntBits(output[i]));
     }
   }
 
   private static void assertDoubleRoundTrip(double[] input) {
     AlpCompression.AlpEncodingPreset preset = allDoubleCombos();
-    AlpCompression.DoubleCompressedVector cv =
-        AlpCompression.compressDoubleVector(input, input.length, preset);
+    AlpCompression.DoubleCompressedVector cv = AlpCompression.compressDoubleVector(input, input.length, preset);
     double[] output = new double[input.length];
     AlpCompression.decompressDoubleVector(cv, output);
     for (int i = 0; i < input.length; i++) {
@@ -123,8 +119,9 @@ public void testFloatRandomValues() {
 
   @Test
   public void testFloatSpecialValues() {
-    float[] input = {1.0f, Float.NaN, 2.0f, Float.POSITIVE_INFINITY, 3.0f,
-        Float.NEGATIVE_INFINITY, 4.0f, -0.0f, 5.0f};
+    float[] input = {
+      1.0f, Float.NaN, 2.0f, Float.POSITIVE_INFINITY, 3.0f, Float.NEGATIVE_INFINITY, 4.0f, -0.0f, 5.0f
+    };
     assertFloatRoundTrip(input);
 
     AlpCompression.FloatCompressedVector cv =
@@ -140,8 +137,7 @@ public void testFloatSingleElement() {
 
   @Test
   public void testFloatEmptyVector() {
-    AlpCompression.FloatCompressedVector cv =
-        AlpCompression.compressFloatVector(new float[0], 0, allFloatCombos());
+    AlpCompression.FloatCompressedVector cv = AlpCompression.compressFloatVector(new float[0], 0, allFloatCombos());
     assertEquals(0, cv.numElements);
     assertEquals(0, cv.numExceptions);
   }
@@ -194,17 +190,14 @@ public void testFloatStoreLoadRoundTrip() {
     byte[] buf = new byte[cv.storedSize()];
     cv.store(buf, 0);
 
-    AlpCompression.FloatCompressedVector loaded =
-        AlpCompression.FloatCompressedVector.load(buf, 0, input.length);
+    AlpCompression.FloatCompressedVector loaded = AlpCompression.FloatCompressedVector.load(buf, 0, input.length);
 
     float[] output = new float[input.length];
     AlpCompression.decompressFloatVector(loaded, output);
 
     for (int i = 0; i < input.length; i++) {
       assertEquals(
-          "Mismatch at index " + i,
-          Float.floatToRawIntBits(input[i]),
-          Float.floatToRawIntBits(output[i]));
+          "Mismatch at index " + i, Float.floatToRawIntBits(input[i]), Float.floatToRawIntBits(output[i]));
     }
   }
 
@@ -217,8 +210,7 @@ public void testFloatStoreLoadMetadata() {
     byte[] buf = new byte[cv.storedSize()];
     cv.store(buf, 0);
 
-    AlpCompression.FloatCompressedVector loaded =
-        AlpCompression.FloatCompressedVector.load(buf, 0, input.length);
+    AlpCompression.FloatCompressedVector loaded = AlpCompression.FloatCompressedVector.load(buf, 0, input.length);
 
     assertEquals(cv.exponent, loaded.exponent);
     assertEquals(cv.factor, loaded.factor);
@@ -264,8 +256,8 @@ public void testDoubleRandomValues() {
 
   @Test
   public void testDoubleSpecialValues() {
-    double[] input = {1.0, Double.NaN, 2.0, Double.POSITIVE_INFINITY, 3.0,
-        Double.NEGATIVE_INFINITY, 4.0, -0.0, 5.0};
+    double[] input = {1.0, Double.NaN, 2.0, Double.POSITIVE_INFINITY, 3.0, Double.NEGATIVE_INFINITY, 4.0, -0.0, 5.0
+    };
     assertDoubleRoundTrip(input);
 
     AlpCompression.DoubleCompressedVector cv =
@@ -315,8 +307,7 @@ public void testDoubleStoreLoadRoundTrip() {
     byte[] buf = new byte[cv.storedSize()];
     cv.store(buf, 0);
 
-    AlpCompression.DoubleCompressedVector loaded =
-        AlpCompression.DoubleCompressedVector.load(buf, 0, input.length);
+    AlpCompression.DoubleCompressedVector loaded = AlpCompression.DoubleCompressedVector.load(buf, 0, input.length);
 
     double[] output = new double[input.length];
     AlpCompression.decompressDoubleVector(loaded, output);
diff --git a/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpCrossImplTest.java b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpCrossImplTest.java
index 871cb26dd7..86fd318b97 100644
--- a/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpCrossImplTest.java
+++ b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpCrossImplTest.java
@@ -35,175 +35,175 @@ public class AlpCrossImplTest {
 
   // === Float decimal values (16 elements) ===
   private static final float[] FLOAT_DECIMAL_INPUT = {
-      Float.intBitsToFloat(0x00000000), Float.intBitsToFloat(0x3DCCCCCD),
-      Float.intBitsToFloat(0x3E4CCCCD), Float.intBitsToFloat(0x3E99999A),
-      Float.intBitsToFloat(0x3ECCCCCD), Float.intBitsToFloat(0x3F000000),
-      Float.intBitsToFloat(0x3F19999A), Float.intBitsToFloat(0x3F333333),
-      Float.intBitsToFloat(0x3F4CCCCD), Float.intBitsToFloat(0x3F666667),
-      Float.intBitsToFloat(0x3F800000), Float.intBitsToFloat(0x3F8CCCCD),
-      Float.intBitsToFloat(0x3F99999A), Float.intBitsToFloat(0x3FA66667),
-      Float.intBitsToFloat(0x3FB33333), Float.intBitsToFloat(0x3FC00000)
+    Float.intBitsToFloat(0x00000000), Float.intBitsToFloat(0x3DCCCCCD),
+    Float.intBitsToFloat(0x3E4CCCCD), Float.intBitsToFloat(0x3E99999A),
+    Float.intBitsToFloat(0x3ECCCCCD), Float.intBitsToFloat(0x3F000000),
+    Float.intBitsToFloat(0x3F19999A), Float.intBitsToFloat(0x3F333333),
+    Float.intBitsToFloat(0x3F4CCCCD), Float.intBitsToFloat(0x3F666667),
+    Float.intBitsToFloat(0x3F800000), Float.intBitsToFloat(0x3F8CCCCD),
+    Float.intBitsToFloat(0x3F99999A), Float.intBitsToFloat(0x3FA66667),
+    Float.intBitsToFloat(0x3FB33333), Float.intBitsToFloat(0x3FC00000)
   };
 
   // FLOAT_DECIMAL_COMPRESSED (28 bytes)
   private static final byte[] FLOAT_DECIMAL_COMPRESSED = {
-      (byte)0x00, (byte)0x00, (byte)0x0A, (byte)0x10, (byte)0x00, (byte)0x00, (byte)0x00,
-      (byte)0x04, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x07, (byte)0x06, (byte)0x00,
-      (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x04, (byte)0x10,
-      (byte)0x32, (byte)0x54, (byte)0x76, (byte)0x98, (byte)0xBA, (byte)0xDC, (byte)0xFE
+    (byte) 0x00, (byte) 0x00, (byte) 0x0A, (byte) 0x10, (byte) 0x00, (byte) 0x00, (byte) 0x00,
+    (byte) 0x04, (byte) 0x00, (byte) 0x00, (byte) 0x00, (byte) 0x07, (byte) 0x06, (byte) 0x00,
+    (byte) 0x00, (byte) 0x00, (byte) 0x00, (byte) 0x00, (byte) 0x00, (byte) 0x04, (byte) 0x10,
+    (byte) 0x32, (byte) 0x54, (byte) 0x76, (byte) 0x98, (byte) 0xBA, (byte) 0xDC, (byte) 0xFE
   };
 
   // === Float integer values (16 elements) ===
   private static final float[] FLOAT_INTEGER_INPUT = {
-      Float.intBitsToFloat(0x00000000), Float.intBitsToFloat(0x41200000),
-      Float.intBitsToFloat(0x41A00000), Float.intBitsToFloat(0x41F00000),
-      Float.intBitsToFloat(0x42200000), Float.intBitsToFloat(0x42480000),
-      Float.intBitsToFloat(0x42700000), Float.intBitsToFloat(0x428C0000),
-      Float.intBitsToFloat(0x42A00000), Float.intBitsToFloat(0x42B40000),
-      Float.intBitsToFloat(0x42C80000), Float.intBitsToFloat(0x42DC0000),
-      Float.intBitsToFloat(0x42F00000), Float.intBitsToFloat(0x43020000),
-      Float.intBitsToFloat(0x430C0000), Float.intBitsToFloat(0x43160000)
+    Float.intBitsToFloat(0x00000000), Float.intBitsToFloat(0x41200000),
+    Float.intBitsToFloat(0x41A00000), Float.intBitsToFloat(0x41F00000),
+    Float.intBitsToFloat(0x42200000), Float.intBitsToFloat(0x42480000),
+    Float.intBitsToFloat(0x42700000), Float.intBitsToFloat(0x428C0000),
+    Float.intBitsToFloat(0x42A00000), Float.intBitsToFloat(0x42B40000),
+    Float.intBitsToFloat(0x42C80000), Float.intBitsToFloat(0x42DC0000),
+    Float.intBitsToFloat(0x42F00000), Float.intBitsToFloat(0x43020000),
+    Float.intBitsToFloat(0x430C0000), Float.intBitsToFloat(0x43160000)
   };
 
   // FLOAT_INTEGER_COMPRESSED (36 bytes)
   private static final byte[] FLOAT_INTEGER_COMPRESSED = {
-      (byte)0x00, (byte)0x00, (byte)0x0A, (byte)0x10, (byte)0x00, (byte)0x00, (byte)0x00,
-      (byte)0x04, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x07, (byte)0x07, (byte)0x00,
-      (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x08, (byte)0x00,
-      (byte)0x0A, (byte)0x14, (byte)0x1E, (byte)0x28, (byte)0x32, (byte)0x3C, (byte)0x46,
-      (byte)0x50, (byte)0x5A, (byte)0x64, (byte)0x6E, (byte)0x78, (byte)0x82, (byte)0x8C,
-      (byte)0x96
+    (byte) 0x00, (byte) 0x00, (byte) 0x0A, (byte) 0x10, (byte) 0x00, (byte) 0x00, (byte) 0x00,
+    (byte) 0x04, (byte) 0x00, (byte) 0x00, (byte) 0x00, (byte) 0x07, (byte) 0x07, (byte) 0x00,
+    (byte) 0x00, (byte) 0x00, (byte) 0x00, (byte) 0x00, (byte) 0x00, (byte) 0x08, (byte) 0x00,
+    (byte) 0x0A, (byte) 0x14, (byte) 0x1E, (byte) 0x28, (byte) 0x32, (byte) 0x3C, (byte) 0x46,
+    (byte) 0x50, (byte) 0x5A, (byte) 0x64, (byte) 0x6E, (byte) 0x78, (byte) 0x82, (byte) 0x8C,
+    (byte) 0x96
   };
 
   // === Float with special values (16 elements) ===
   private static final float[] FLOAT_SPECIAL_INPUT = {
-      Float.intBitsToFloat(0x00000000), Float.intBitsToFloat(0x3FC00000),
-      Float.intBitsToFloat(0x40400000), Float.intBitsToFloat(0x7FC00000),
-      Float.intBitsToFloat(0x40C00000), Float.intBitsToFloat(0x40F00000),
-      Float.intBitsToFloat(0x41100000), Float.intBitsToFloat(0x7F800000),
-      Float.intBitsToFloat(0x41400000), Float.intBitsToFloat(0x41580000),
-      Float.intBitsToFloat(0x41700000), Float.intBitsToFloat(0xFF800000),
-      Float.intBitsToFloat(0x41900000), Float.intBitsToFloat(0x419C0000),
-      Float.intBitsToFloat(0x80000000), Float.intBitsToFloat(0x41B40000)
+    Float.intBitsToFloat(0x00000000), Float.intBitsToFloat(0x3FC00000),
+    Float.intBitsToFloat(0x40400000), Float.intBitsToFloat(0x7FC00000),
+    Float.intBitsToFloat(0x40C00000), Float.intBitsToFloat(0x40F00000),
+    Float.intBitsToFloat(0x41100000), Float.intBitsToFloat(0x7F800000),
+    Float.intBitsToFloat(0x41400000), Float.intBitsToFloat(0x41580000),
+    Float.intBitsToFloat(0x41700000), Float.intBitsToFloat(0xFF800000),
+    Float.intBitsToFloat(0x41900000), Float.intBitsToFloat(0x419C0000),
+    Float.intBitsToFloat(0x80000000), Float.intBitsToFloat(0x41B40000)
   };
 
   // FLOAT_SPECIAL_COMPRESSED (60 bytes)
   private static final byte[] FLOAT_SPECIAL_COMPRESSED = {
-      (byte)0x00, (byte)0x00, (byte)0x0A, (byte)0x10, (byte)0x00, (byte)0x00, (byte)0x00,
-      (byte)0x04, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x07, (byte)0x06, (byte)0x04,
-      (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x08, (byte)0x00,
-      (byte)0x0F, (byte)0x1E, (byte)0x00, (byte)0x3C, (byte)0x4B, (byte)0x5A, (byte)0x00,
-      (byte)0x78, (byte)0x87, (byte)0x96, (byte)0x00, (byte)0xB4, (byte)0xC3, (byte)0x00,
-      (byte)0xE1, (byte)0x03, (byte)0x00, (byte)0x07, (byte)0x00, (byte)0x0B, (byte)0x00,
-      (byte)0x0E, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0xC0, (byte)0x7F, (byte)0x00,
-      (byte)0x00, (byte)0x80, (byte)0x7F, (byte)0x00, (byte)0x00, (byte)0x80, (byte)0xFF,
-      (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x80
+    (byte) 0x00, (byte) 0x00, (byte) 0x0A, (byte) 0x10, (byte) 0x00, (byte) 0x00, (byte) 0x00,
+    (byte) 0x04, (byte) 0x00, (byte) 0x00, (byte) 0x00, (byte) 0x07, (byte) 0x06, (byte) 0x04,
+    (byte) 0x00, (byte) 0x00, (byte) 0x00, (byte) 0x00, (byte) 0x00, (byte) 0x08, (byte) 0x00,
+    (byte) 0x0F, (byte) 0x1E, (byte) 0x00, (byte) 0x3C, (byte) 0x4B, (byte) 0x5A, (byte) 0x00,
+    (byte) 0x78, (byte) 0x87, (byte) 0x96, (byte) 0x00, (byte) 0xB4, (byte) 0xC3, (byte) 0x00,
+    (byte) 0xE1, (byte) 0x03, (byte) 0x00, (byte) 0x07, (byte) 0x00, (byte) 0x0B, (byte) 0x00,
+    (byte) 0x0E, (byte) 0x00, (byte) 0x00, (byte) 0x00, (byte) 0xC0, (byte) 0x7F, (byte) 0x00,
+    (byte) 0x00, (byte) 0x80, (byte) 0x7F, (byte) 0x00, (byte) 0x00, (byte) 0x80, (byte) 0xFF,
+    (byte) 0x00, (byte) 0x00, (byte) 0x00, (byte) 0x80
   };
 
   // === Double decimal values (16 elements) ===
   private static final double[] DOUBLE_DECIMAL_INPUT = {
-      Double.longBitsToDouble(0x0000000000000000L),
-      Double.longBitsToDouble(0x3F847AE147AE147BL),
-      Double.longBitsToDouble(0x3F947AE147AE147BL),
-      Double.longBitsToDouble(0x3F9EB851EB851EB8L),
-      Double.longBitsToDouble(0x3FA47AE147AE147BL),
-      Double.longBitsToDouble(0x3FA999999999999AL),
-      Double.longBitsToDouble(0x3FAEB851EB851EB8L),
-      Double.longBitsToDouble(0x3FB1EB851EB851ECL),
-      Double.longBitsToDouble(0x3FB47AE147AE147BL),
-      Double.longBitsToDouble(0x3FB70A3D70A3D70AL),
-      Double.longBitsToDouble(0x3FB999999999999AL),
-      Double.longBitsToDouble(0x3FBC28F5C28F5C29L),
-      Double.longBitsToDouble(0x3FBEB851EB851EB8L),
-      Double.longBitsToDouble(0x3FC0A3D70A3D70A4L),
-      Double.longBitsToDouble(0x3FC1EB851EB851ECL),
-      Double.longBitsToDouble(0x3FC3333333333333L)
+    Double.longBitsToDouble(0x0000000000000000L),
+    Double.longBitsToDouble(0x3F847AE147AE147BL),
+    Double.longBitsToDouble(0x3F947AE147AE147BL),
+    Double.longBitsToDouble(0x3F9EB851EB851EB8L),
+    Double.longBitsToDouble(0x3FA47AE147AE147BL),
+    Double.longBitsToDouble(0x3FA999999999999AL),
+    Double.longBitsToDouble(0x3FAEB851EB851EB8L),
+    Double.longBitsToDouble(0x3FB1EB851EB851ECL),
+    Double.longBitsToDouble(0x3FB47AE147AE147BL),
+    Double.longBitsToDouble(0x3FB70A3D70A3D70AL),
+    Double.longBitsToDouble(0x3FB999999999999AL),
+    Double.longBitsToDouble(0x3FBC28F5C28F5C29L),
+    Double.longBitsToDouble(0x3FBEB851EB851EB8L),
+    Double.longBitsToDouble(0x3FC0A3D70A3D70A4L),
+    Double.longBitsToDouble(0x3FC1EB851EB851ECL),
+    Double.longBitsToDouble(0x3FC3333333333333L)
   };
 
   // DOUBLE_DECIMAL_COMPRESSED (32 bytes)
   private static final byte[] DOUBLE_DECIMAL_COMPRESSED = {
-      (byte)0x00, (byte)0x00, (byte)0x0A, (byte)0x10, (byte)0x00, (byte)0x00, (byte)0x00,
-      (byte)0x04, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x0E, (byte)0x0C, (byte)0x00,
-      (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x00,
-      (byte)0x00, (byte)0x00, (byte)0x04, (byte)0x10, (byte)0x32, (byte)0x54, (byte)0x76,
-      (byte)0x98, (byte)0xBA, (byte)0xDC, (byte)0xFE
+    (byte) 0x00, (byte) 0x00, (byte) 0x0A, (byte) 0x10, (byte) 0x00, (byte) 0x00, (byte) 0x00,
+    (byte) 0x04, (byte) 0x00, (byte) 0x00, (byte) 0x00, (byte) 0x0E, (byte) 0x0C, (byte) 0x00,
+    (byte) 0x00, (byte) 0x00, (byte) 0x00, (byte) 0x00, (byte) 0x00, (byte) 0x00, (byte) 0x00,
+    (byte) 0x00, (byte) 0x00, (byte) 0x04, (byte) 0x10, (byte) 0x32, (byte) 0x54, (byte) 0x76,
+    (byte) 0x98, (byte) 0xBA, (byte) 0xDC, (byte) 0xFE
   };
 
   // === Double integer values (16 elements) ===
   private static final double[] DOUBLE_INTEGER_INPUT = {
-      Double.longBitsToDouble(0x0000000000000000L),
-      Double.longBitsToDouble(0x4024000000000000L),
-      Double.longBitsToDouble(0x4034000000000000L),
-      Double.longBitsToDouble(0x403E000000000000L),
-      Double.longBitsToDouble(0x4044000000000000L),
-      Double.longBitsToDouble(0x4049000000000000L),
-      Double.longBitsToDouble(0x404E000000000000L),
-      Double.longBitsToDouble(0x4051800000000000L),
-      Double.longBitsToDouble(0x4054000000000000L),
-      Double.longBitsToDouble(0x4056800000000000L),
-      Double.longBitsToDouble(0x4059000000000000L),
-      Double.longBitsToDouble(0x405B800000000000L),
-      Double.longBitsToDouble(0x405E000000000000L),
-      Double.longBitsToDouble(0x4060400000000000L),
-      Double.longBitsToDouble(0x4061800000000000L),
-      Double.longBitsToDouble(0x4062C00000000000L)
+    Double.longBitsToDouble(0x0000000000000000L),
+    Double.longBitsToDouble(0x4024000000000000L),
+    Double.longBitsToDouble(0x4034000000000000L),
+    Double.longBitsToDouble(0x403E000000000000L),
+    Double.longBitsToDouble(0x4044000000000000L),
+    Double.longBitsToDouble(0x4049000000000000L),
+    Double.longBitsToDouble(0x404E000000000000L),
+    Double.longBitsToDouble(0x4051800000000000L),
+    Double.longBitsToDouble(0x4054000000000000L),
+    Double.longBitsToDouble(0x4056800000000000L),
+    Double.longBitsToDouble(0x4059000000000000L),
+    Double.longBitsToDouble(0x405B800000000000L),
+    Double.longBitsToDouble(0x405E000000000000L),
+    Double.longBitsToDouble(0x4060400000000000L),
+    Double.longBitsToDouble(0x4061800000000000L),
+    Double.longBitsToDouble(0x4062C00000000000L)
   };
 
   // DOUBLE_INTEGER_COMPRESSED (40 bytes)
   private static final byte[] DOUBLE_INTEGER_COMPRESSED = {
-      (byte)0x00, (byte)0x00, (byte)0x0A, (byte)0x10, (byte)0x00, (byte)0x00, (byte)0x00,
-      (byte)0x04, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x10, (byte)0x10, (byte)0x00,
-      (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x00,
-      (byte)0x00, (byte)0x00, (byte)0x08, (byte)0x00, (byte)0x0A, (byte)0x14, (byte)0x1E,
-      (byte)0x28, (byte)0x32, (byte)0x3C, (byte)0x46, (byte)0x50, (byte)0x5A, (byte)0x64,
-      (byte)0x6E, (byte)0x78, (byte)0x82, (byte)0x8C, (byte)0x96
+    (byte) 0x00, (byte) 0x00, (byte) 0x0A, (byte) 0x10, (byte) 0x00, (byte) 0x00, (byte) 0x00,
+    (byte) 0x04, (byte) 0x00, (byte) 0x00, (byte) 0x00, (byte) 0x10, (byte) 0x10, (byte) 0x00,
+    (byte) 0x00, (byte) 0x00, (byte) 0x00, (byte) 0x00, (byte) 0x00, (byte) 0x00, (byte) 0x00,
+    (byte) 0x00, (byte) 0x00, (byte) 0x08, (byte) 0x00, (byte) 0x0A, (byte) 0x14, (byte) 0x1E,
+    (byte) 0x28, (byte) 0x32, (byte) 0x3C, (byte) 0x46, (byte) 0x50, (byte) 0x5A, (byte) 0x64,
+    (byte) 0x6E, (byte) 0x78, (byte) 0x82, (byte) 0x8C, (byte) 0x96
   };
 
   // === Float constant (16 elements) ===
   private static final float[] FLOAT_CONSTANT_INPUT = {
-      Float.intBitsToFloat(0x4048F5C3), Float.intBitsToFloat(0x4048F5C3),
-      Float.intBitsToFloat(0x4048F5C3), Float.intBitsToFloat(0x4048F5C3),
-      Float.intBitsToFloat(0x4048F5C3), Float.intBitsToFloat(0x4048F5C3),
-      Float.intBitsToFloat(0x4048F5C3), Float.intBitsToFloat(0x4048F5C3),
-      Float.intBitsToFloat(0x4048F5C3), Float.intBitsToFloat(0x4048F5C3),
-      Float.intBitsToFloat(0x4048F5C3), Float.intBitsToFloat(0x4048F5C3),
-      Float.intBitsToFloat(0x4048F5C3), Float.intBitsToFloat(0x4048F5C3),
-      Float.intBitsToFloat(0x4048F5C3), Float.intBitsToFloat(0x4048F5C3)
+    Float.intBitsToFloat(0x4048F5C3), Float.intBitsToFloat(0x4048F5C3),
+    Float.intBitsToFloat(0x4048F5C3), Float.intBitsToFloat(0x4048F5C3),
+    Float.intBitsToFloat(0x4048F5C3), Float.intBitsToFloat(0x4048F5C3),
+    Float.intBitsToFloat(0x4048F5C3), Float.intBitsToFloat(0x4048F5C3),
+    Float.intBitsToFloat(0x4048F5C3), Float.intBitsToFloat(0x4048F5C3),
+    Float.intBitsToFloat(0x4048F5C3), Float.intBitsToFloat(0x4048F5C3),
+    Float.intBitsToFloat(0x4048F5C3), Float.intBitsToFloat(0x4048F5C3),
+    Float.intBitsToFloat(0x4048F5C3), Float.intBitsToFloat(0x4048F5C3)
   };
 
   // FLOAT_CONSTANT_COMPRESSED (20 bytes)
   private static final byte[] FLOAT_CONSTANT_COMPRESSED = {
-      (byte)0x00, (byte)0x00, (byte)0x0A, (byte)0x10, (byte)0x00, (byte)0x00, (byte)0x00,
-      (byte)0x04, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x0A, (byte)0x08, (byte)0x00,
-      (byte)0x00, (byte)0x3A, (byte)0x01, (byte)0x00, (byte)0x00, (byte)0x00
+    (byte) 0x00, (byte) 0x00, (byte) 0x0A, (byte) 0x10, (byte) 0x00, (byte) 0x00, (byte) 0x00,
+    (byte) 0x04, (byte) 0x00, (byte) 0x00, (byte) 0x00, (byte) 0x0A, (byte) 0x08, (byte) 0x00,
+    (byte) 0x00, (byte) 0x3A, (byte) 0x01, (byte) 0x00, (byte) 0x00, (byte) 0x00
   };
 
   // === Double constant (16 elements) ===
   private static final double[] DOUBLE_CONSTANT_INPUT = {
-      Double.longBitsToDouble(0x40091EB851EB851FL),
-      Double.longBitsToDouble(0x40091EB851EB851FL),
-      Double.longBitsToDouble(0x40091EB851EB851FL),
-      Double.longBitsToDouble(0x40091EB851EB851FL),
-      Double.longBitsToDouble(0x40091EB851EB851FL),
-      Double.longBitsToDouble(0x40091EB851EB851FL),
-      Double.longBitsToDouble(0x40091EB851EB851FL),
-      Double.longBitsToDouble(0x40091EB851EB851FL),
-      Double.longBitsToDouble(0x40091EB851EB851FL),
-      Double.longBitsToDouble(0x40091EB851EB851FL),
-      Double.longBitsToDouble(0x40091EB851EB851FL),
-      Double.longBitsToDouble(0x40091EB851EB851FL),
-      Double.longBitsToDouble(0x40091EB851EB851FL),
-      Double.longBitsToDouble(0x40091EB851EB851FL),
-      Double.longBitsToDouble(0x40091EB851EB851FL),
-      Double.longBitsToDouble(0x40091EB851EB851FL)
+    Double.longBitsToDouble(0x40091EB851EB851FL),
+    Double.longBitsToDouble(0x40091EB851EB851FL),
+    Double.longBitsToDouble(0x40091EB851EB851FL),
+    Double.longBitsToDouble(0x40091EB851EB851FL),
+    Double.longBitsToDouble(0x40091EB851EB851FL),
+    Double.longBitsToDouble(0x40091EB851EB851FL),
+    Double.longBitsToDouble(0x40091EB851EB851FL),
+    Double.longBitsToDouble(0x40091EB851EB851FL),
+    Double.longBitsToDouble(0x40091EB851EB851FL),
+    Double.longBitsToDouble(0x40091EB851EB851FL),
+    Double.longBitsToDouble(0x40091EB851EB851FL),
+    Double.longBitsToDouble(0x40091EB851EB851FL),
+    Double.longBitsToDouble(0x40091EB851EB851FL),
+    Double.longBitsToDouble(0x40091EB851EB851FL),
+    Double.longBitsToDouble(0x40091EB851EB851FL),
+    Double.longBitsToDouble(0x40091EB851EB851FL)
   };
 
   // DOUBLE_CONSTANT_COMPRESSED (24 bytes)
   private static final byte[] DOUBLE_CONSTANT_COMPRESSED = {
-      (byte)0x00, (byte)0x00, (byte)0x0A, (byte)0x10, (byte)0x00, (byte)0x00, (byte)0x00,
-      (byte)0x04, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x12, (byte)0x10, (byte)0x00,
-      (byte)0x00, (byte)0x3A, (byte)0x01, (byte)0x00, (byte)0x00, (byte)0x00, (byte)0x00,
-      (byte)0x00, (byte)0x00, (byte)0x00
+    (byte) 0x00, (byte) 0x00, (byte) 0x0A, (byte) 0x10, (byte) 0x00, (byte) 0x00, (byte) 0x00,
+    (byte) 0x04, (byte) 0x00, (byte) 0x00, (byte) 0x00, (byte) 0x12, (byte) 0x10, (byte) 0x00,
+    (byte) 0x00, (byte) 0x3A, (byte) 0x01, (byte) 0x00, (byte) 0x00, (byte) 0x00, (byte) 0x00,
+    (byte) 0x00, (byte) 0x00, (byte) 0x00
   };
 
   // ========== Tests: decode C++ blobs, verify output matches input ==========
diff --git a/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpSamplerTest.java b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpSamplerTest.java
index 1073144a61..2373d5ef6b 100644
--- a/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpSamplerTest.java
+++ b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpSamplerTest.java
@@ -79,16 +79,12 @@ public void testFloatPresetProducesValidRoundTrip() {
     float[] vector = new float[vectorSize];
     System.arraycopy(data, 0, vector, 0, vectorSize);
 
-    AlpCompression.FloatCompressedVector cv =
-        AlpCompression.compressFloatVector(vector, vectorSize, preset);
+    AlpCompression.FloatCompressedVector cv = AlpCompression.compressFloatVector(vector, vectorSize, preset);
     float[] output = new float[vectorSize];
     AlpCompression.decompressFloatVector(cv, output);
 
     for (int i = 0; i < vectorSize; i++) {
-      assertEquals(
-          "Mismatch at " + i,
-          Float.floatToRawIntBits(vector[i]),
-          Float.floatToRawIntBits(output[i]));
+      assertEquals("Mismatch at " + i, Float.floatToRawIntBits(vector[i]), Float.floatToRawIntBits(output[i]));
     }
   }
 
@@ -169,16 +165,13 @@ public void testDoublePresetProducesValidRoundTrip() {
     double[] vector = new double[vectorSize];
     System.arraycopy(data, 0, vector, 0, vectorSize);
 
-    AlpCompression.DoubleCompressedVector cv =
-        AlpCompression.compressDoubleVector(vector, vectorSize, preset);
+    AlpCompression.DoubleCompressedVector cv = AlpCompression.compressDoubleVector(vector, vectorSize, preset);
     double[] output = new double[vectorSize];
     AlpCompression.decompressDoubleVector(cv, output);
 
     for (int i = 0; i < vectorSize; i++) {
       assertEquals(
-          "Mismatch at " + i,
-          Double.doubleToRawLongBits(vector[i]),
-          Double.doubleToRawLongBits(output[i]));
+          "Mismatch at " + i, Double.doubleToRawLongBits(vector[i]), Double.doubleToRawLongBits(output[i]));
     }
   }
 
diff --git a/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpValuesReaderTest.java b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpValuesReaderTest.java
index 51d81e8a42..994c496608 100644
--- a/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpValuesReaderTest.java
+++ b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpValuesReaderTest.java
@@ -24,7 +24,6 @@
 import java.nio.ByteBuffer;
 import java.util.Random;
 import org.apache.parquet.bytes.ByteBufferInputStream;
-import org.apache.parquet.bytes.BytesInput;
 import org.junit.Test;
 
 public class AlpValuesReaderTest {
@@ -49,10 +48,7 @@ private static void assertFloatWriterReaderRoundTrip(float[] values) throws IOEx
 
     for (int i = 0; i < values.length; i++) {
       float actual = reader.readFloat();
-      assertEquals(
-          "Mismatch at " + i,
-          Float.floatToRawIntBits(values[i]),
-          Float.floatToRawIntBits(actual));
+      assertEquals("Mismatch at " + i, Float.floatToRawIntBits(values[i]), Float.floatToRawIntBits(actual));
     }
   }
 
@@ -86,8 +82,9 @@ public void testFloatReaderExactVectorSize() throws IOException {
 
   @Test
   public void testFloatReaderSpecialValues() throws IOException {
-    float[] values = {1.0f, Float.NaN, 2.0f, Float.POSITIVE_INFINITY,
-        3.0f, Float.NEGATIVE_INFINITY, 4.0f, -0.0f, 5.0f};
+    float[] values = {
+      1.0f, Float.NaN, 2.0f, Float.POSITIVE_INFINITY, 3.0f, Float.NEGATIVE_INFINITY, 4.0f, -0.0f, 5.0f
+    };
     assertFloatWriterReaderRoundTrip(values);
   }
 
@@ -112,16 +109,12 @@ public void testFloatReaderSkip() throws IOException {
     // Skip first 10, read next 5
     reader.skip(10);
     for (int i = 10; i < 15; i++) {
-      assertEquals(
-          Float.floatToRawIntBits(values[i]),
-          Float.floatToRawIntBits(reader.readFloat()));
+      assertEquals(Float.floatToRawIntBits(values[i]), Float.floatToRawIntBits(reader.readFloat()));
     }
 
     // Skip 20 more, read next
     reader.skip(20);
-    assertEquals(
-        Float.floatToRawIntBits(values[35]),
-        Float.floatToRawIntBits(reader.readFloat()));
+    assertEquals(Float.floatToRawIntBits(values[35]), Float.floatToRawIntBits(reader.readFloat()));
   }
 
   @Test
@@ -142,9 +135,7 @@ public void testFloatReaderSkipAcrossVectors() throws IOException {
 
     // Skip into second vector
     reader.skip(1500);
-    assertEquals(
-        Float.floatToRawIntBits(values[1500]),
-        Float.floatToRawIntBits(reader.readFloat()));
+    assertEquals(Float.floatToRawIntBits(values[1500]), Float.floatToRawIntBits(reader.readFloat()));
   }
 
   // ========== Double writer → reader round-trip ==========
@@ -161,10 +152,7 @@ private static void assertDoubleWriterReaderRoundTrip(double[] values) throws IO
 
     for (int i = 0; i < values.length; i++) {
       double actual = reader.readDouble();
-      assertEquals(
-          "Mismatch at " + i,
-          Double.doubleToRawLongBits(values[i]),
-          Double.doubleToRawLongBits(actual));
+      assertEquals("Mismatch at " + i, Double.doubleToRawLongBits(values[i]), Double.doubleToRawLongBits(actual));
     }
   }
 
@@ -189,8 +177,8 @@ public void testDoubleReaderMultipleVectors() throws IOException {
 
   @Test
   public void testDoubleReaderSpecialValues() throws IOException {
-    double[] values = {1.0, Double.NaN, 2.0, Double.POSITIVE_INFINITY,
-        3.0, Double.NEGATIVE_INFINITY, 4.0, -0.0, 5.0};
+    double[] values = {1.0, Double.NaN, 2.0, Double.POSITIVE_INFINITY, 3.0, Double.NEGATIVE_INFINITY, 4.0, -0.0, 5.0
+    };
     assertDoubleWriterReaderRoundTrip(values);
   }
 
@@ -212,9 +200,7 @@ public void testDoubleReaderSkip() throws IOException {
 
     reader.skip(10);
     for (int i = 10; i < 15; i++) {
-      assertEquals(
-          Double.doubleToRawLongBits(values[i]),
-          Double.doubleToRawLongBits(reader.readDouble()));
+      assertEquals(Double.doubleToRawLongBits(values[i]), Double.doubleToRawLongBits(reader.readDouble()));
     }
   }
 
diff --git a/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpValuesWriterTest.java b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpValuesWriterTest.java
index e8f8712dd1..029e8d02b0 100644
--- a/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpValuesWriterTest.java
+++ b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpValuesWriterTest.java
@@ -49,10 +49,7 @@ public void testFloatWriterRoundTrip() throws IOException {
     AlpWrapper.decodeFloats(compressed, compressed.length, output, values.length);
 
     for (int i = 0; i < values.length; i++) {
-      assertEquals(
-          "Mismatch at " + i,
-          Float.floatToRawIntBits(values[i]),
-          Float.floatToRawIntBits(output[i]));
+      assertEquals("Mismatch at " + i, Float.floatToRawIntBits(values[i]), Float.floatToRawIntBits(output[i]));
     }
   }
 
@@ -76,10 +73,7 @@ public void testFloatWriterMultipleVectors() throws IOException {
     AlpWrapper.decodeFloats(compressed, compressed.length, output, values.length);
 
     for (int i = 0; i < values.length; i++) {
-      assertEquals(
-          "Mismatch at " + i,
-          Float.floatToRawIntBits(values[i]),
-          Float.floatToRawIntBits(output[i]));
+      assertEquals("Mismatch at " + i, Float.floatToRawIntBits(values[i]), Float.floatToRawIntBits(output[i]));
     }
   }
 
@@ -101,16 +95,15 @@ public void testFloatWriterExactVectorSize() throws IOException {
     AlpWrapper.decodeFloats(compressed, compressed.length, output, values.length);
 
     for (int i = 0; i < values.length; i++) {
-      assertEquals(
-          Float.floatToRawIntBits(values[i]),
-          Float.floatToRawIntBits(output[i]));
+      assertEquals(Float.floatToRawIntBits(values[i]), Float.floatToRawIntBits(output[i]));
     }
   }
 
   @Test
   public void testFloatWriterSpecialValues() throws IOException {
-    float[] values = {1.0f, Float.NaN, 2.0f, Float.POSITIVE_INFINITY,
-        3.0f, Float.NEGATIVE_INFINITY, 4.0f, -0.0f, 5.0f};
+    float[] values = {
+      1.0f, Float.NaN, 2.0f, Float.POSITIVE_INFINITY, 3.0f, Float.NEGATIVE_INFINITY, 4.0f, -0.0f, 5.0f
+    };
 
     AlpValuesWriter.FloatAlpValuesWriter writer = new AlpValuesWriter.FloatAlpValuesWriter();
     for (float v : values) {
@@ -123,10 +116,7 @@ public void testFloatWriterSpecialValues() throws IOException {
     AlpWrapper.decodeFloats(compressed, compressed.length, output, values.length);
 
     for (int i = 0; i < values.length; i++) {
-      assertEquals(
-          "Mismatch at " + i,
-          Float.floatToRawIntBits(values[i]),
-          Float.floatToRawIntBits(output[i]));
+      assertEquals("Mismatch at " + i, Float.floatToRawIntBits(values[i]), Float.floatToRawIntBits(output[i]));
     }
   }
 
@@ -161,9 +151,7 @@ public void testFloatWriterReset() throws IOException {
     float[] output = new float[50];
     AlpWrapper.decodeFloats(second, second.length, output, 50);
     for (int i = 0; i < 50; i++) {
-      assertEquals(
-          Float.floatToRawIntBits(i * 2.0f),
-          Float.floatToRawIntBits(output[i]));
+      assertEquals(Float.floatToRawIntBits(i * 2.0f), Float.floatToRawIntBits(output[i]));
     }
   }
 
@@ -188,9 +176,7 @@ public void testDoubleWriterRoundTrip() throws IOException {
 
     for (int i = 0; i < values.length; i++) {
       assertEquals(
-          "Mismatch at " + i,
-          Double.doubleToRawLongBits(values[i]),
-          Double.doubleToRawLongBits(output[i]));
+          "Mismatch at " + i, Double.doubleToRawLongBits(values[i]), Double.doubleToRawLongBits(output[i]));
     }
   }
 
@@ -214,16 +200,14 @@ public void testDoubleWriterMultipleVectors() throws IOException {
 
     for (int i = 0; i < values.length; i++) {
       assertEquals(
-          "Mismatch at " + i,
-          Double.doubleToRawLongBits(values[i]),
-          Double.doubleToRawLongBits(output[i]));
+          "Mismatch at " + i, Double.doubleToRawLongBits(values[i]), Double.doubleToRawLongBits(output[i]));
     }
   }
 
   @Test
   public void testDoubleWriterSpecialValues() throws IOException {
-    double[] values = {1.0, Double.NaN, 2.0, Double.POSITIVE_INFINITY,
-        3.0, Double.NEGATIVE_INFINITY, 4.0, -0.0, 5.0};
+    double[] values = {1.0, Double.NaN, 2.0, Double.POSITIVE_INFINITY, 3.0, Double.NEGATIVE_INFINITY, 4.0, -0.0, 5.0
+    };
 
     AlpValuesWriter.DoubleAlpValuesWriter writer = new AlpValuesWriter.DoubleAlpValuesWriter();
     for (double v : values) {
@@ -237,9 +221,7 @@ public void testDoubleWriterSpecialValues() throws IOException {
 
     for (int i = 0; i < values.length; i++) {
       assertEquals(
-          "Mismatch at " + i,
-          Double.doubleToRawLongBits(values[i]),
-          Double.doubleToRawLongBits(output[i]));
+          "Mismatch at " + i, Double.doubleToRawLongBits(values[i]), Double.doubleToRawLongBits(output[i]));
     }
   }
 
diff --git a/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpWrapperTest.java b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpWrapperTest.java
index d3132c8df7..d6aa034b62 100644
--- a/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpWrapperTest.java
+++ b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/AlpWrapperTest.java
@@ -30,8 +30,7 @@ public class AlpWrapperTest {
   // ========== Float round-trip ==========
 
   private static void assertFloatPageRoundTrip(float[] input) {
-    AlpCompression.AlpEncodingPreset preset =
-        AlpWrapper.createFloatSamplingPreset(input, input.length);
+    AlpCompression.AlpEncodingPreset preset = AlpWrapper.createFloatSamplingPreset(input, input.length);
     byte[] compressed = new byte[(int) AlpWrapper.maxCompressedSizeFloat(input.length)];
     int compSize = AlpWrapper.encodeFloats(input, input.length, compressed, preset);
     assertTrue(compSize > 0);
@@ -42,9 +41,7 @@ private static void assertFloatPageRoundTrip(float[] input) {
 
     for (int i = 0; i < input.length; i++) {
       assertEquals(
-          "Mismatch at index " + i,
-          Float.floatToRawIntBits(input[i]),
-          Float.floatToRawIntBits(output[i]));
+          "Mismatch at index " + i, Float.floatToRawIntBits(input[i]), Float.floatToRawIntBits(output[i]));
     }
   }
 
@@ -102,8 +99,7 @@ public void testFloatSpecialValues() {
   public void testFloatEmptyInput() {
     byte[] compressed = new byte[AlpConstants.HEADER_SIZE];
     int compSize = AlpWrapper.encodeFloats(
-        new float[0], 0, compressed,
-        new AlpCompression.AlpEncodingPreset(new int[][] {{0, 0}}));
+        new float[0], 0, compressed, new AlpCompression.AlpEncodingPreset(new int[][] {{0, 0}}));
     assertEquals(AlpConstants.HEADER_SIZE, compSize);
   }
 
@@ -120,8 +116,7 @@ public void testFloatRandomLargeDataset() {
   // ========== Double round-trip ==========
 
   private static void assertDoublePageRoundTrip(double[] input) {
-    AlpCompression.AlpEncodingPreset preset =
-        AlpWrapper.createDoubleSamplingPreset(input, input.length);
+    AlpCompression.AlpEncodingPreset preset = AlpWrapper.createDoubleSamplingPreset(input, input.length);
     byte[] compressed = new byte[(int) AlpWrapper.maxCompressedSizeDouble(input.length)];
     int compSize = AlpWrapper.encodeDoubles(input, input.length, compressed, preset);
     assertTrue(compSize > 0);
@@ -183,8 +178,7 @@ public void testDoubleRandomLargeDataset() {
   @Test
   public void testHeaderFormat() {
     float[] input = {1.0f, 2.0f, 3.0f};
-    AlpCompression.AlpEncodingPreset preset =
-        AlpWrapper.createFloatSamplingPreset(input, input.length);
+    AlpCompression.AlpEncodingPreset preset = AlpWrapper.createFloatSamplingPreset(input, input.length);
     byte[] compressed = new byte[(int) AlpWrapper.maxCompressedSizeFloat(input.length)];
     int compSize = AlpWrapper.encodeFloats(input, input.length, compressed, preset);
 
@@ -204,14 +198,14 @@ public void testOffsetLayout() {
     for (int i = 0; i < 2048; i++) {
       input[i] = i * 0.5f;
     }
-    AlpCompression.AlpEncodingPreset preset =
-        AlpWrapper.createFloatSamplingPreset(input, input.length);
+    AlpCompression.AlpEncodingPreset preset = AlpWrapper.createFloatSamplingPreset(input, input.length);
     byte[] compressed = new byte[(int) AlpWrapper.maxCompressedSizeFloat(input.length)];
     AlpWrapper.encodeFloats(input, input.length, compressed, preset);
 
     // After header (7B), offsets section should have 2 int offsets (8 bytes)
-    ByteBuffer body = ByteBuffer.wrap(compressed, AlpConstants.HEADER_SIZE,
-        compressed.length - AlpConstants.HEADER_SIZE).order(ByteOrder.LITTLE_ENDIAN);
+    ByteBuffer body = ByteBuffer.wrap(
+            compressed, AlpConstants.HEADER_SIZE, compressed.length - AlpConstants.HEADER_SIZE)
+        .order(ByteOrder.LITTLE_ENDIAN);
     int offset0 = body.getInt();
     int offset1 = body.getInt();
 

From 09ca686dfd5bcba503a6928b3332ed2884826717 Mon Sep 17 00:00:00 2001
From: Prateek Gaur <prateek.gaur@snowflake.com>
Date: Sat, 7 Mar 2026 20:54:43 +0000
Subject: [PATCH 12/24] ALP: Add cross-language interop test reading C++
 ALP-encoded parquet files

Reads ALP-encoded parquet files (spotify1: 9 columns x 15000 rows, arade:
4 columns x 15000 rows) generated by the C++ Arrow implementation and
verifies all double values match the expected CSV data bit-exactly.

This validates the full end-to-end ALP read path through the parquet-java
reader stack: file metadata parsing, ALP encoding detection, and
AlpValuesReaderForDouble decoding.

Note: requires parquet-format Encoding.ALP(10) which is not yet upstream
in the parquet-format Thrift spec. Build with -Dmdep.skip=true when
rebuilding parquet-format-structures to preserve the local ALP addition.
---
 .../hadoop/TestInteropAlpEncoding.java        |   189 +
 .../src/test/resources/alp_arade.parquet      |   Bin 0 -> 180556 bytes
 .../src/test/resources/alp_arade_expect.csv   | 15001 ++++++++++++++++
 .../src/test/resources/alp_spotify1.parquet   |   Bin 0 -> 299654 bytes
 .../test/resources/alp_spotify1_expect.csv    | 15001 ++++++++++++++++
 5 files changed, 30191 insertions(+)
 create mode 100644 parquet-hadoop/src/test/java/org/apache/parquet/hadoop/TestInteropAlpEncoding.java
 create mode 100644 parquet-hadoop/src/test/resources/alp_arade.parquet
 create mode 100644 parquet-hadoop/src/test/resources/alp_arade_expect.csv
 create mode 100644 parquet-hadoop/src/test/resources/alp_spotify1.parquet
 create mode 100644 parquet-hadoop/src/test/resources/alp_spotify1_expect.csv

diff --git a/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/TestInteropAlpEncoding.java b/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/TestInteropAlpEncoding.java
new file mode 100644
index 0000000000..c60cc71c22
--- /dev/null
+++ b/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/TestInteropAlpEncoding.java
@@ -0,0 +1,189 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+package org.apache.parquet.hadoop;
+
+import static org.junit.Assert.assertEquals;
+import static org.junit.Assert.assertNotNull;
+
+import java.io.BufferedReader;
+import java.io.IOException;
+import java.io.InputStream;
+import java.io.InputStreamReader;
+import java.net.URISyntaxException;
+import java.nio.charset.StandardCharsets;
+import java.util.ArrayList;
+import java.util.List;
+import org.apache.hadoop.fs.Path;
+import org.apache.parquet.column.Encoding;
+import org.apache.parquet.example.data.Group;
+import org.apache.parquet.hadoop.example.GroupReadSupport;
+import org.apache.parquet.hadoop.metadata.BlockMetaData;
+import org.apache.parquet.hadoop.metadata.ColumnChunkMetaData;
+import org.junit.Test;
+
+/**
+ * Integration test for reading ALP (Adaptive Lossless floating-Point) encoded
+ * parquet files generated by the C++ implementation and verifying correctness
+ * against expected CSV data.
+ *
+ * <p>The test parquet files were generated using the generate_alp_parquet C++
+ * utility from Arrow, which encodes floating-point CSV datasets using ALP encoding.
+ */
+public class TestInteropAlpEncoding {
+
+  private static Path resourcePath(String name) {
+    try {
+      return new Path(TestInteropAlpEncoding.class.getResource("/" + name).toURI());
+    } catch (URISyntaxException e) {
+      throw new RuntimeException(e);
+    }
+  }
+
+  /**
+   * Read the ALP-encoded arade parquet file (4 double columns, 15000 rows)
+   * and verify all values match the expected CSV.
+   */
+  @Test
+  public void testReadAlpAradeParquet() throws IOException {
+    Path parquetPath = resourcePath("alp_arade.parquet");
+    String[] columnNames = {"value1", "value2", "value3", "value4"};
+    int expectedRows = 15000;
+
+    // Read expected values from CSV
+    double[][] expected = readExpectedCsv("/alp_arade_expect.csv", columnNames.length, expectedRows);
+
+    // Read parquet file using GroupReadSupport
+    List<Group> rows = readParquetGroups(parquetPath);
+    assertEquals("Row count should match", expectedRows, rows.size());
+
+    // Verify ALP encoding is used in metadata
+    verifyAlpEncoding(parquetPath);
+
+    // Compare all values
+    for (int r = 0; r < expectedRows; r++) {
+      Group group = rows.get(r);
+      for (int c = 0; c < columnNames.length; c++) {
+        double actual = group.getDouble(columnNames[c], 0);
+        assertEquals(
+            String.format("Mismatch at row %d, column %s", r, columnNames[c]),
+            Double.doubleToLongBits(expected[c][r]),
+            Double.doubleToLongBits(actual));
+      }
+    }
+  }
+
+  /**
+   * Read the ALP-encoded spotify1 parquet file (9 double columns, 15000 rows)
+   * and verify all values match the expected CSV.
+   */
+  @Test
+  public void testReadAlpSpotify1Parquet() throws IOException {
+    Path parquetPath = resourcePath("alp_spotify1.parquet");
+    String[] columnNames = {
+      "danceability",
+      "energy",
+      "loudness",
+      "speechiness",
+      "acousticness",
+      "instrumentalness",
+      "liveness",
+      "valence",
+      "tempo"
+    };
+    int expectedRows = 15000;
+
+    // Read expected values from CSV
+    double[][] expected = readExpectedCsv("/alp_spotify1_expect.csv", columnNames.length, expectedRows);
+
+    // Read parquet file using GroupReadSupport
+    List<Group> rows = readParquetGroups(parquetPath);
+    assertEquals("Row count should match", expectedRows, rows.size());
+
+    // Verify ALP encoding is used in metadata
+    verifyAlpEncoding(parquetPath);
+
+    // Compare all values
+    for (int r = 0; r < expectedRows; r++) {
+      Group group = rows.get(r);
+      for (int c = 0; c < columnNames.length; c++) {
+        double actual = group.getDouble(columnNames[c], 0);
+        assertEquals(
+            String.format("Mismatch at row %d, column %s", r, columnNames[c]),
+            Double.doubleToLongBits(expected[c][r]),
+            Double.doubleToLongBits(actual));
+      }
+    }
+  }
+
+  private List<Group> readParquetGroups(Path path) throws IOException {
+    List<Group> rows = new ArrayList<>();
+    try (ParquetReader<Group> reader =
+        ParquetReader.builder(new GroupReadSupport(), path).build()) {
+      Group group;
+      while ((group = reader.read()) != null) {
+        rows.add(group);
+      }
+    }
+    return rows;
+  }
+
+  private void verifyAlpEncoding(Path path) throws IOException {
+    try (ParquetFileReader reader = ParquetFileReader.open(org.apache.parquet.hadoop.util.HadoopInputFile.fromPath(
+        path, new org.apache.hadoop.conf.Configuration()))) {
+      List<BlockMetaData> blocks = reader.getFooter().getBlocks();
+      for (BlockMetaData block : blocks) {
+        for (ColumnChunkMetaData column : block.getColumns()) {
+          assertNotNull(
+              "Column " + column.getPath() + " should have encoding stats", column.getEncodingStats());
+          boolean hasAlp = column.getEncodings().contains(Encoding.ALP);
+          assertEquals("Column " + column.getPath() + " should use ALP encoding", true, hasAlp);
+        }
+      }
+    }
+  }
+
+  /**
+   * Parse expected CSV into column arrays.
+   * CSV format: header row, then data rows with comma-separated double values.
+   */
+  private double[][] readExpectedCsv(String resourcePath, int numColumns, int expectedRows) throws IOException {
+    double[][] columns = new double[numColumns][expectedRows];
+    try (InputStream is = getClass().getResourceAsStream(resourcePath);
+        BufferedReader br = new BufferedReader(new InputStreamReader(is, StandardCharsets.UTF_8))) {
+      assertNotNull("CSV resource not found: " + resourcePath, is);
+
+      // Skip header
+      String header = br.readLine();
+      assertNotNull("CSV should have a header", header);
+
+      int row = 0;
+      String line;
+      while ((line = br.readLine()) != null) {
+        String[] parts = line.split(",");
+        assertEquals("CSV row " + row + " should have " + numColumns + " columns", numColumns, parts.length);
+        for (int c = 0; c < numColumns; c++) {
+          columns[c][row] = Double.parseDouble(parts[c]);
+        }
+        row++;
+      }
+      assertEquals("CSV should have " + expectedRows + " data rows", expectedRows, row);
+    }
+    return columns;
+  }
+}
diff --git a/parquet-hadoop/src/test/resources/alp_arade.parquet b/parquet-hadoop/src/test/resources/alp_arade.parquet
new file mode 100644
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diff --git a/parquet-hadoop/src/test/resources/alp_arade_expect.csv b/parquet-hadoop/src/test/resources/alp_arade_expect.csv
new file mode 100644
index 0000000000..515fe54330
--- /dev/null
+++ b/parquet-hadoop/src/test/resources/alp_arade_expect.csv
@@ -0,0 +1,15001 @@
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diff --git a/parquet-hadoop/src/test/resources/alp_spotify1_expect.csv b/parquet-hadoop/src/test/resources/alp_spotify1_expect.csv
new file mode 100644
index 0000000000..8c4e0f37bb
--- /dev/null
+++ b/parquet-hadoop/src/test/resources/alp_spotify1_expect.csv
@@ -0,0 +1,15001 @@
+danceability,energy,loudness,speechiness,acousticness,instrumentalness,liveness,valence,tempo
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+0.93400000000000005,0.26900000000000002,-11.631,0.071199999999999999,0.73099999999999998,2.96e-06,0.072700000000000001,0.96499999999999997,135.06100000000001
+0.76500000000000001,0.36699999999999999,-7.0010000000000003,0.29899999999999999,0.45300000000000001,0,0.13200000000000001,0.41199999999999998,180.24299999999999
+0.94499999999999995,0.57399999999999995,-8.2420000000000009,0.053400000000000003,0.497,0,0.075800000000000006,0.86199999999999999,103.27500000000001
+0.93400000000000005,0.53700000000000003,-7.1779999999999999,0.042900000000000001,0.52400000000000002,0.0123,0.083500000000000005,0.94699999999999995,132.05600000000001
+0.75600000000000001,0.752,-8.0069999999999997,0.045400000000000003,0.00056800000000000004,0.16,0.127,0.96599999999999997,123.015
+0.90900000000000003,0.48799999999999999,-5.9619999999999997,0.046100000000000002,0.65400000000000003,0,0.062,0.96799999999999997,108.09399999999999
+0.74299999999999999,0.54100000000000004,-6.8940000000000001,0.026599999999999999,0.54700000000000004,0,0.067500000000000004,0.623,77.994
+0.73899999999999999,0.88700000000000001,-5.6950000000000003,0.0504,0.044600000000000001,3.9099999999999998e-06,0.29899999999999999,0.97799999999999998,100.021
+0.69899999999999995,0.76900000000000002,-8.1400000000000006,0.044499999999999998,0.042999999999999997,0,0.13,0.96099999999999997,145.23099999999999
+0.67500000000000004,0.38100000000000001,-7.7229999999999999,0.029700000000000001,0.29499999999999998,3.9100000000000002e-05,0.115,0.32500000000000001,130.047
+0.82499999999999996,0.624,-8.9740000000000002,0.038699999999999998,0.018800000000000001,0.00018100000000000001,0.10100000000000001,0.94399999999999995,180.011
+0.83199999999999996,0.36899999999999999,-10.161,0.051900000000000002,0.069099999999999995,2.39e-06,0.37,0.55100000000000005,99.022999999999996
+0.54900000000000004,0.26900000000000002,-11.071,0.095899999999999999,0.82899999999999996,0,0.13300000000000001,0.53800000000000003,162.91800000000001
+0.80600000000000005,0.73399999999999999,-8.6069999999999993,0.17299999999999999,0.441,0,0.11799999999999999,0.85899999999999999,92.031000000000006
+0.89100000000000001,0.28100000000000003,-10.173,0.056399999999999999,0.51400000000000001,0,0.091800000000000007,0.84899999999999998,134.953
+0.79500000000000004,0.37,-9.798,0.040899999999999999,0.41799999999999998,0.000164,0.112,0.83199999999999996,76.001000000000005
+0.80200000000000005,0.58999999999999997,-6.0839999999999996,0.035999999999999997,0.311,0,0.30499999999999999,0.72499999999999998,95.977999999999994
+0.88500000000000001,0.49099999999999999,-13.622,0.13800000000000001,0.39200000000000002,1.2999999999999999e-05,0.23400000000000001,0.92200000000000004,99.057000000000002
+0.626,0.78800000000000003,-5.3929999999999998,0.091800000000000007,0.65500000000000003,0,0.072099999999999997,0.874,99.962000000000003
+0.65200000000000002,0.254,-11.718999999999999,0.11600000000000001,0.81299999999999994,0,0.089200000000000002,0.67800000000000005,152.39599999999999
+0.39200000000000002,0.34200000000000003,-8.7680000000000007,0.031899999999999998,0.38300000000000001,0,0.151,0.78000000000000003,153.15299999999999
+0.71099999999999997,0.20999999999999999,-22.158999999999999,0.048399999999999999,0.95999999999999996,0.026800000000000001,0.14699999999999999,0.159,119.908
+0.73699999999999999,0.23300000000000001,-14.750999999999999,0.0373,0.95399999999999996,0.018499999999999999,0.084599999999999995,0.88100000000000001,113.64
+0.81499999999999995,0.436,-6.9509999999999996,0.038399999999999997,0.78100000000000003,0,0.17000000000000001,0.53400000000000003,119.95
+0.77400000000000002,0.51800000000000002,-14.183999999999999,0.0659,0.97799999999999998,0.96999999999999997,0.093299999999999994,0.98299999999999998,140.00399999999999
+0.14799999999999999,0.249,-11.031000000000001,0.035000000000000003,0.54300000000000004,0.020899999999999998,0.098299999999999998,0.20599999999999999,177.489
+0.90500000000000003,0.63300000000000001,-6.891,0.0292,0.435,1.0699999999999999e-05,0.070199999999999999,0.67500000000000004,105.81
+0.76800000000000002,0.80300000000000005,-5.54,0.17599999999999999,0.56899999999999995,1.01e-05,0.24099999999999999,0.94699999999999995,119.997
+0.60999999999999999,0.441,-11.143000000000001,0.039699999999999999,0.90500000000000003,0,0.112,0.59299999999999997,110.845
+0.68400000000000005,0.086099999999999996,-19.803000000000001,0.038899999999999997,0.92000000000000004,0.0076400000000000001,0.109,0.315,108.01300000000001
+0.436,0.0137,-30.420999999999999,0.035900000000000001,0.94899999999999995,0.95099999999999996,0.072300000000000003,0.074399999999999994,179.86199999999999
+0.48599999999999999,0.221,-14.122,0.0293,0.96899999999999997,0.872,0.35199999999999998,0.078299999999999995,147.95699999999999
+0.372,0.156,-15.847,0.042999999999999997,0.92500000000000004,0.00025599999999999999,0.099699999999999997,0.33200000000000002,88.099999999999994
+0.71699999999999997,0.67300000000000004,-4.6449999999999996,0.251,0.80100000000000005,0.0161,0.021399999999999999,0.96299999999999997,60.798999999999999
+0.74399999999999999,0.26600000000000001,-19.780999999999999,0.043799999999999999,0.91500000000000004,0.92800000000000005,0.053600000000000002,0.61699999999999999,125.95699999999999
+0.874,0.20399999999999999,-13.361000000000001,0.050999999999999997,0.94199999999999995,0.79400000000000004,0.073400000000000007,0.96099999999999997,119.997
+0.67400000000000004,0.73099999999999998,-11.086,0.0516,0.0038400000000000001,0.0035899999999999999,0.060299999999999999,0.66900000000000004,119.997
+0.74299999999999999,0.249,-15.93,0.48599999999999999,0.52700000000000002,0,0.64700000000000002,0.755,112.90600000000001
+0.71899999999999997,0.20300000000000001,-18.856999999999999,0.043299999999999998,0.94599999999999995,0.30299999999999999,0.187,0.42399999999999999,120.017
+0.47899999999999998,0.189,-12,0.036900000000000002,0.89200000000000002,0,0.125,0.60899999999999999,199.95500000000001
+0.72199999999999998,0.58999999999999997,-5.3239999999999998,0.122,0.35099999999999998,0,0.074499999999999997,0.84699999999999998,147.02000000000001
+0.82699999999999996,0.158,-11.260999999999999,0.0458,0.96399999999999997,0.00061499999999999999,0.108,0.90000000000000002,99.820999999999998
+0.52000000000000002,0.316,-13.493,0.049200000000000001,0.90100000000000002,0.0998,0.12,0.32600000000000001,72.278000000000006
+0.83999999999999997,0.70299999999999996,-4.4749999999999996,0.0356,0.48999999999999999,0,0.221,0.96399999999999997,120.541
+0.55300000000000005,0.52600000000000002,-5.4089999999999998,0.030499999999999999,0.56399999999999995,0,0.114,0.122,156.059
+0.33700000000000002,0.188,-9.9949999999999992,0.031699999999999999,0.92900000000000005,2.5299999999999999e-06,0.125,0.56499999999999995,100.146
+0.66600000000000004,0.189,-14.536,0.036700000000000003,0.748,0.61299999999999999,0.089899999999999994,0.84999999999999998,76.001000000000005
+0.64900000000000002,0.46600000000000003,-4.6749999999999998,0.0252,0.083799999999999999,0,0.129,0.47099999999999997,94.977999999999994

From 6d0443d748b85d222533f967d8092453cb09cc5a Mon Sep 17 00:00:00 2001
From: Prateek Gaur <prateek.gaur@snowflake.com>
Date: Sat, 7 Mar 2026 23:20:29 +0000
Subject: [PATCH 13/24] ALP: Add writer pipeline integration and bidirectional
 cross-language tests

Wire ALP encoding into Java's writer pipeline so ParquetWriter can produce
ALP-encoded parquet files. This enables bidirectional interop testing: Java
writes ALP parquet that C++ reads, complementing the existing C++ writes /
Java reads direction.

- Add alpEnabled ColumnProperty to ParquetProperties with isAlpEnabled()
- Update DefaultV2ValuesWriterFactory to select ALP writers for float/double
- Add withAlpEncoding() builder methods to ParquetWriter
- Add GenerateAlpParquet utility to produce test files from CSV data
- Add Java interop tests reading back Java-generated ALP parquet files
---
 .../parquet/column/ParquetProperties.java     |  43 +++++++
 .../factory/DefaultV2ValuesWriterFactory.java |   9 +-
 .../apache/parquet/hadoop/ParquetWriter.java  |  10 ++
 .../parquet/hadoop/GenerateAlpParquet.java    | 114 ++++++++++++++++++
 .../hadoop/TestInteropAlpEncoding.java        |  68 +++++++++++
 .../src/test/resources/alp_java_arade.parquet | Bin 0 -> 180581 bytes
 .../test/resources/alp_java_spotify1.parquet  | Bin 0 -> 310862 bytes
 7 files changed, 242 insertions(+), 2 deletions(-)
 create mode 100644 parquet-hadoop/src/test/java/org/apache/parquet/hadoop/GenerateAlpParquet.java
 create mode 100644 parquet-hadoop/src/test/resources/alp_java_arade.parquet
 create mode 100644 parquet-hadoop/src/test/resources/alp_java_spotify1.parquet

diff --git a/parquet-column/src/main/java/org/apache/parquet/column/ParquetProperties.java b/parquet-column/src/main/java/org/apache/parquet/column/ParquetProperties.java
index f29214b458..cab6ed6ce1 100644
--- a/parquet-column/src/main/java/org/apache/parquet/column/ParquetProperties.java
+++ b/parquet-column/src/main/java/org/apache/parquet/column/ParquetProperties.java
@@ -50,6 +50,7 @@ public class ParquetProperties {
   public static final int DEFAULT_DICTIONARY_PAGE_SIZE = DEFAULT_PAGE_SIZE;
   public static final boolean DEFAULT_IS_DICTIONARY_ENABLED = true;
   public static final boolean DEFAULT_IS_BYTE_STREAM_SPLIT_ENABLED = false;
+  public static final boolean DEFAULT_IS_ALP_ENABLED = false;
   public static final WriterVersion DEFAULT_WRITER_VERSION = WriterVersion.PARQUET_1_0;
   public static final boolean DEFAULT_ESTIMATE_ROW_COUNT_FOR_PAGE_SIZE_CHECK = true;
   public static final int DEFAULT_MINIMUM_RECORD_COUNT_FOR_CHECK = 100;
@@ -132,6 +133,7 @@ public static WriterVersion fromString(String name) {
   private final int pageRowCountLimit;
   private final boolean pageWriteChecksumEnabled;
   private final ColumnProperty<ByteStreamSplitMode> byteStreamSplitEnabled;
+  private final ColumnProperty<Boolean> alpEnabled;
   private final Map<String, String> extraMetaData;
   private final ColumnProperty<Boolean> statistics;
   private final ColumnProperty<Boolean> sizeStatistics;
@@ -164,6 +166,7 @@ private ParquetProperties(Builder builder) {
     this.pageRowCountLimit = builder.pageRowCountLimit;
     this.pageWriteChecksumEnabled = builder.pageWriteChecksumEnabled;
     this.byteStreamSplitEnabled = builder.byteStreamSplitEnabled.build();
+    this.alpEnabled = builder.alpEnabled.build();
     this.extraMetaData = builder.extraMetaData;
     this.statistics = builder.statistics.build();
     this.sizeStatistics = builder.sizeStatistics.build();
@@ -259,6 +262,20 @@ public boolean isByteStreamSplitEnabled(ColumnDescriptor column) {
     }
   }
 
+  /**
+   * Returns true if ALP encoding is enabled for the given column.
+   * ALP encoding is only applicable to FLOAT and DOUBLE columns.
+   */
+  public boolean isAlpEnabled(ColumnDescriptor column) {
+    switch (column.getPrimitiveType().getPrimitiveTypeName()) {
+      case FLOAT:
+      case DOUBLE:
+        return alpEnabled.getValue(column);
+      default:
+        return false;
+    }
+  }
+
   public ByteBufferAllocator getAllocator() {
     return allocator;
   }
@@ -416,6 +433,7 @@ public static class Builder {
     private int pageRowCountLimit = DEFAULT_PAGE_ROW_COUNT_LIMIT;
     private boolean pageWriteChecksumEnabled = DEFAULT_PAGE_WRITE_CHECKSUM_ENABLED;
     private final ColumnProperty.Builder<ByteStreamSplitMode> byteStreamSplitEnabled;
+    private final ColumnProperty.Builder<Boolean> alpEnabled;
     private Map<String, String> extraMetaData = new HashMap<>();
     private final ColumnProperty.Builder<Boolean> statistics;
     private final ColumnProperty.Builder<Boolean> sizeStatistics;
@@ -427,6 +445,7 @@ private Builder() {
               DEFAULT_IS_BYTE_STREAM_SPLIT_ENABLED
                   ? ByteStreamSplitMode.FLOATING_POINT
                   : ByteStreamSplitMode.NONE);
+      alpEnabled = ColumnProperty.<Boolean>builder().withDefaultValue(DEFAULT_IS_ALP_ENABLED);
       bloomFilterEnabled = ColumnProperty.<Boolean>builder().withDefaultValue(DEFAULT_BLOOM_FILTER_ENABLED);
       bloomFilterNDVs = ColumnProperty.<Long>builder().withDefaultValue(null);
       bloomFilterFPPs = ColumnProperty.<Double>builder().withDefaultValue(DEFAULT_BLOOM_FILTER_FPP);
@@ -457,6 +476,7 @@ private Builder(ParquetProperties toCopy) {
       this.numBloomFilterCandidates = ColumnProperty.builder(toCopy.numBloomFilterCandidates);
       this.maxBloomFilterBytes = toCopy.maxBloomFilterBytes;
       this.byteStreamSplitEnabled = ColumnProperty.builder(toCopy.byteStreamSplitEnabled);
+      this.alpEnabled = ColumnProperty.builder(toCopy.alpEnabled);
       this.extraMetaData = toCopy.extraMetaData;
       this.statistics = ColumnProperty.builder(toCopy.statistics);
       this.sizeStatistics = ColumnProperty.builder(toCopy.sizeStatistics);
@@ -534,6 +554,29 @@ public Builder withExtendedByteStreamSplitEncoding(boolean enable) {
       return this;
     }
 
+    /**
+     * Enable or disable ALP encoding for FLOAT and DOUBLE columns.
+     *
+     * @param enable whether ALP encoding should be enabled
+     * @return this builder for method chaining.
+     */
+    public Builder withAlpEncoding(boolean enable) {
+      this.alpEnabled.withDefaultValue(enable);
+      return this;
+    }
+
+    /**
+     * Enable or disable ALP encoding for the specified column.
+     *
+     * @param columnPath the path of the column (dot-string)
+     * @param enable     whether ALP encoding should be enabled
+     * @return this builder for method chaining.
+     */
+    public Builder withAlpEncoding(String columnPath, boolean enable) {
+      this.alpEnabled.withValue(columnPath, enable);
+      return this;
+    }
+
     /**
      * Set the Parquet format dictionary page size.
      *
diff --git a/parquet-column/src/main/java/org/apache/parquet/column/values/factory/DefaultV2ValuesWriterFactory.java b/parquet-column/src/main/java/org/apache/parquet/column/values/factory/DefaultV2ValuesWriterFactory.java
index c50b4e49c5..f3f993a22c 100644
--- a/parquet-column/src/main/java/org/apache/parquet/column/values/factory/DefaultV2ValuesWriterFactory.java
+++ b/parquet-column/src/main/java/org/apache/parquet/column/values/factory/DefaultV2ValuesWriterFactory.java
@@ -25,6 +25,7 @@
 import org.apache.parquet.column.Encoding;
 import org.apache.parquet.column.ParquetProperties;
 import org.apache.parquet.column.values.ValuesWriter;
+import org.apache.parquet.column.values.alp.AlpValuesWriter;
 import org.apache.parquet.column.values.bytestreamsplit.ByteStreamSplitValuesWriter;
 import org.apache.parquet.column.values.delta.DeltaBinaryPackingValuesWriterForInteger;
 import org.apache.parquet.column.values.delta.DeltaBinaryPackingValuesWriterForLong;
@@ -159,7 +160,9 @@ private ValuesWriter getInt96ValuesWriter(ColumnDescriptor path) {
 
   private ValuesWriter getDoubleValuesWriter(ColumnDescriptor path) {
     final ValuesWriter fallbackWriter;
-    if (this.parquetProperties.isByteStreamSplitEnabled(path)) {
+    if (this.parquetProperties.isAlpEnabled(path)) {
+      fallbackWriter = new AlpValuesWriter.DoubleAlpValuesWriter();
+    } else if (this.parquetProperties.isByteStreamSplitEnabled(path)) {
       fallbackWriter = new ByteStreamSplitValuesWriter.DoubleByteStreamSplitValuesWriter(
           parquetProperties.getInitialSlabSize(),
           parquetProperties.getPageSizeThreshold(),
@@ -176,7 +179,9 @@ private ValuesWriter getDoubleValuesWriter(ColumnDescriptor path) {
 
   private ValuesWriter getFloatValuesWriter(ColumnDescriptor path) {
     final ValuesWriter fallbackWriter;
-    if (this.parquetProperties.isByteStreamSplitEnabled(path)) {
+    if (this.parquetProperties.isAlpEnabled(path)) {
+      fallbackWriter = new AlpValuesWriter.FloatAlpValuesWriter();
+    } else if (this.parquetProperties.isByteStreamSplitEnabled(path)) {
       fallbackWriter = new ByteStreamSplitValuesWriter.FloatByteStreamSplitValuesWriter(
           parquetProperties.getInitialSlabSize(),
           parquetProperties.getPageSizeThreshold(),
diff --git a/parquet-hadoop/src/main/java/org/apache/parquet/hadoop/ParquetWriter.java b/parquet-hadoop/src/main/java/org/apache/parquet/hadoop/ParquetWriter.java
index 8eb5f7f17b..b93cd576ca 100644
--- a/parquet-hadoop/src/main/java/org/apache/parquet/hadoop/ParquetWriter.java
+++ b/parquet-hadoop/src/main/java/org/apache/parquet/hadoop/ParquetWriter.java
@@ -705,6 +705,16 @@ public SELF withByteStreamSplitEncoding(String columnPath, boolean enableByteStr
       return self();
     }
 
+    public SELF withAlpEncoding(boolean enableAlp) {
+      encodingPropsBuilder.withAlpEncoding(enableAlp);
+      return self();
+    }
+
+    public SELF withAlpEncoding(String columnPath, boolean enableAlp) {
+      encodingPropsBuilder.withAlpEncoding(columnPath, enableAlp);
+      return self();
+    }
+
     /**
      * Enable or disable dictionary encoding of the specified column for the constructed writer.
      *
diff --git a/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/GenerateAlpParquet.java b/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/GenerateAlpParquet.java
new file mode 100644
index 0000000000..0626ce5aa0
--- /dev/null
+++ b/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/GenerateAlpParquet.java
@@ -0,0 +1,114 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+package org.apache.parquet.hadoop;
+
+import java.io.BufferedReader;
+import java.io.IOException;
+import java.io.InputStream;
+import java.io.InputStreamReader;
+import java.nio.charset.StandardCharsets;
+import java.nio.file.Files;
+import java.nio.file.Paths;
+import java.util.ArrayList;
+import java.util.List;
+import org.apache.hadoop.fs.Path;
+import org.apache.parquet.example.data.Group;
+import org.apache.parquet.example.data.simple.SimpleGroupFactory;
+import org.apache.parquet.hadoop.example.ExampleParquetWriter;
+import org.apache.parquet.schema.MessageType;
+import org.apache.parquet.schema.PrimitiveType.PrimitiveTypeName;
+import org.apache.parquet.schema.Types;
+
+/**
+ * Standalone utility to generate ALP-encoded parquet files from CSV test data.
+ *
+ * <p>Reads the existing expect CSV files (alp_spotify1_expect.csv, alp_arade_expect.csv)
+ * from test resources and writes ALP-encoded parquet files using the Java ALP encoder.
+ *
+ * <p>Usage: java GenerateAlpParquet [output_directory]
+ * If no output directory is specified, files are written to the current directory.
+ */
+public class GenerateAlpParquet {
+
+  public static void main(String[] args) throws IOException {
+    String outputDir = args.length > 0 ? args[0] : ".";
+    Files.createDirectories(Paths.get(outputDir));
+
+    generateAlpParquet("/alp_arade_expect.csv", outputDir + "/alp_java_arade.parquet");
+    System.out.println("Generated: " + outputDir + "/alp_java_arade.parquet");
+
+    generateAlpParquet("/alp_spotify1_expect.csv", outputDir + "/alp_java_spotify1.parquet");
+    System.out.println("Generated: " + outputDir + "/alp_java_spotify1.parquet");
+  }
+
+  private static void generateAlpParquet(String csvResource, String outputPath) throws IOException {
+    // Read CSV
+    String[] columnNames;
+    List<double[]> rows = new ArrayList<>();
+
+    try (InputStream is = GenerateAlpParquet.class.getResourceAsStream(csvResource);
+        BufferedReader br = new BufferedReader(new InputStreamReader(is, StandardCharsets.UTF_8))) {
+      // Parse header
+      String header = br.readLine();
+      columnNames = header.split(",");
+
+      // Parse data rows
+      String line;
+      while ((line = br.readLine()) != null) {
+        String[] parts = line.split(",");
+        double[] values = new double[parts.length];
+        for (int i = 0; i < parts.length; i++) {
+          values[i] = Double.parseDouble(parts[i]);
+        }
+        rows.add(values);
+      }
+    }
+
+    // Build schema: all required DOUBLE columns
+    Types.MessageTypeBuilder schemaBuilder = Types.buildMessage();
+    for (String name : columnNames) {
+      schemaBuilder.required(PrimitiveTypeName.DOUBLE).named(name);
+    }
+    MessageType schema = schemaBuilder.named("schema");
+
+    // Delete output file if it exists
+    java.io.File outFile = new java.io.File(outputPath);
+    if (outFile.exists()) {
+      outFile.delete();
+    }
+
+    // Write ALP-encoded parquet
+    Path path = new Path(outFile.getAbsolutePath());
+    SimpleGroupFactory groupFactory = new SimpleGroupFactory(schema);
+    try (ParquetWriter<Group> writer = ExampleParquetWriter.builder(path)
+        .withType(schema)
+        .withWriterVersion(org.apache.parquet.column.ParquetProperties.WriterVersion.PARQUET_2_0)
+        .withAlpEncoding(true)
+        .withDictionaryEncoding(false)
+        .build()) {
+      for (double[] row : rows) {
+        Group group = groupFactory.newGroup();
+        for (int c = 0; c < columnNames.length; c++) {
+          group.append(columnNames[c], row[c]);
+        }
+        writer.write(group);
+      }
+    }
+  }
+}
diff --git a/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/TestInteropAlpEncoding.java b/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/TestInteropAlpEncoding.java
index c60cc71c22..fcbfb3830b 100644
--- a/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/TestInteropAlpEncoding.java
+++ b/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/TestInteropAlpEncoding.java
@@ -131,6 +131,74 @@ public void testReadAlpSpotify1Parquet() throws IOException {
     }
   }
 
+  /**
+   * Read the Java-generated ALP-encoded arade parquet file and verify all values
+   * match the expected CSV.
+   */
+  @Test
+  public void testReadAlpJavaAradeParquet() throws IOException {
+    Path parquetPath = resourcePath("alp_java_arade.parquet");
+    String[] columnNames = {"value1", "value2", "value3", "value4"};
+    int expectedRows = 15000;
+
+    double[][] expected = readExpectedCsv("/alp_arade_expect.csv", columnNames.length, expectedRows);
+
+    List<Group> rows = readParquetGroups(parquetPath);
+    assertEquals("Row count should match", expectedRows, rows.size());
+
+    verifyAlpEncoding(parquetPath);
+
+    for (int r = 0; r < expectedRows; r++) {
+      Group group = rows.get(r);
+      for (int c = 0; c < columnNames.length; c++) {
+        double actual = group.getDouble(columnNames[c], 0);
+        assertEquals(
+            String.format("Mismatch at row %d, column %s", r, columnNames[c]),
+            Double.doubleToLongBits(expected[c][r]),
+            Double.doubleToLongBits(actual));
+      }
+    }
+  }
+
+  /**
+   * Read the Java-generated ALP-encoded spotify1 parquet file and verify all values
+   * match the expected CSV.
+   */
+  @Test
+  public void testReadAlpJavaSpotify1Parquet() throws IOException {
+    Path parquetPath = resourcePath("alp_java_spotify1.parquet");
+    String[] columnNames = {
+      "danceability",
+      "energy",
+      "loudness",
+      "speechiness",
+      "acousticness",
+      "instrumentalness",
+      "liveness",
+      "valence",
+      "tempo"
+    };
+    int expectedRows = 15000;
+
+    double[][] expected = readExpectedCsv("/alp_spotify1_expect.csv", columnNames.length, expectedRows);
+
+    List<Group> rows = readParquetGroups(parquetPath);
+    assertEquals("Row count should match", expectedRows, rows.size());
+
+    verifyAlpEncoding(parquetPath);
+
+    for (int r = 0; r < expectedRows; r++) {
+      Group group = rows.get(r);
+      for (int c = 0; c < columnNames.length; c++) {
+        double actual = group.getDouble(columnNames[c], 0);
+        assertEquals(
+            String.format("Mismatch at row %d, column %s", r, columnNames[c]),
+            Double.doubleToLongBits(expected[c][r]),
+            Double.doubleToLongBits(actual));
+      }
+    }
+  }
+
   private List<Group> readParquetGroups(Path path) throws IOException {
     List<Group> rows = new ArrayList<>();
     try (ParquetReader<Group> reader =
diff --git a/parquet-hadoop/src/test/resources/alp_java_arade.parquet b/parquet-hadoop/src/test/resources/alp_java_arade.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..0e7e07c428ad18feb443942d714fa9556c84c1af
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diff --git a/parquet-hadoop/src/test/resources/alp_java_spotify1.parquet b/parquet-hadoop/src/test/resources/alp_java_spotify1.parquet
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literal 0
HcmV?d00001


From 00dbf3801676a6f71faf3569baa1381a365811a0 Mon Sep 17 00:00:00 2001
From: Prateek Gaur <prateek.gaur@snowflake.com>
Date: Sun, 8 Mar 2026 03:21:45 +0000
Subject: [PATCH 14/24] ALP: Add float32 cross-language tests and generator
 support

Add float32 (FLOAT) coverage to the ALP encoding interop tests:
- Generator: generateAlpParquetFloat() writes float32 ALP parquet from
  float expect CSVs using PrimitiveTypeName.FLOAT schema
- Tests: readExpectedCsvFloat() and 4 new test methods using
  Float.floatToIntBits() for bit-exact verification of C++ and Java
  generated float parquets for spotify1 and arade datasets
- Add *.csv to RAT license check exclusions
- Add float32 test resources (expect CSVs, C++ and Java parquets)
---
 .../parquet/hadoop/GenerateAlpParquet.java    |    64 +
 .../hadoop/TestInteropAlpEncoding.java        |   165 +
 .../test/resources/alp_float_arade.parquet    |   Bin 0 -> 271352 bytes
 .../test/resources/alp_float_arade_expect.csv | 15001 ++++++++++++++++
 .../test/resources/alp_float_spotify1.parquet |   Bin 0 -> 315107 bytes
 .../resources/alp_float_spotify1_expect.csv   | 15001 ++++++++++++++++
 .../resources/alp_java_float_arade.parquet    |   Bin 0 -> 272338 bytes
 .../resources/alp_java_float_spotify1.parquet |   Bin 0 -> 337303 bytes
 pom.xml                                       |     1 +
 9 files changed, 30232 insertions(+)
 create mode 100644 parquet-hadoop/src/test/resources/alp_float_arade.parquet
 create mode 100644 parquet-hadoop/src/test/resources/alp_float_arade_expect.csv
 create mode 100644 parquet-hadoop/src/test/resources/alp_float_spotify1.parquet
 create mode 100644 parquet-hadoop/src/test/resources/alp_float_spotify1_expect.csv
 create mode 100644 parquet-hadoop/src/test/resources/alp_java_float_arade.parquet
 create mode 100644 parquet-hadoop/src/test/resources/alp_java_float_spotify1.parquet

diff --git a/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/GenerateAlpParquet.java b/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/GenerateAlpParquet.java
index 0626ce5aa0..c115e9eb00 100644
--- a/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/GenerateAlpParquet.java
+++ b/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/GenerateAlpParquet.java
@@ -55,6 +55,14 @@ public static void main(String[] args) throws IOException {
 
     generateAlpParquet("/alp_spotify1_expect.csv", outputDir + "/alp_java_spotify1.parquet");
     System.out.println("Generated: " + outputDir + "/alp_java_spotify1.parquet");
+
+    generateAlpParquetFloat(
+        "/alp_float_arade_expect.csv", outputDir + "/alp_java_float_arade.parquet");
+    System.out.println("Generated: " + outputDir + "/alp_java_float_arade.parquet");
+
+    generateAlpParquetFloat(
+        "/alp_float_spotify1_expect.csv", outputDir + "/alp_java_float_spotify1.parquet");
+    System.out.println("Generated: " + outputDir + "/alp_java_float_spotify1.parquet");
   }
 
   private static void generateAlpParquet(String csvResource, String outputPath) throws IOException {
@@ -111,4 +119,60 @@ private static void generateAlpParquet(String csvResource, String outputPath) th
       }
     }
   }
+
+  private static void generateAlpParquetFloat(String csvResource, String outputPath)
+      throws IOException {
+    // Read CSV into float values
+    String[] columnNames;
+    List<float[]> rows = new ArrayList<>();
+
+    try (InputStream is = GenerateAlpParquet.class.getResourceAsStream(csvResource);
+        BufferedReader br = new BufferedReader(new InputStreamReader(is, StandardCharsets.UTF_8))) {
+      // Parse header
+      String header = br.readLine();
+      columnNames = header.split(",");
+
+      // Parse data rows
+      String line;
+      while ((line = br.readLine()) != null) {
+        String[] parts = line.split(",");
+        float[] values = new float[parts.length];
+        for (int i = 0; i < parts.length; i++) {
+          values[i] = Float.parseFloat(parts[i]);
+        }
+        rows.add(values);
+      }
+    }
+
+    // Build schema: all required FLOAT columns
+    Types.MessageTypeBuilder schemaBuilder = Types.buildMessage();
+    for (String name : columnNames) {
+      schemaBuilder.required(PrimitiveTypeName.FLOAT).named(name);
+    }
+    MessageType schema = schemaBuilder.named("schema");
+
+    // Delete output file if it exists
+    java.io.File outFile = new java.io.File(outputPath);
+    if (outFile.exists()) {
+      outFile.delete();
+    }
+
+    // Write ALP-encoded parquet
+    Path path = new Path(outFile.getAbsolutePath());
+    SimpleGroupFactory groupFactory = new SimpleGroupFactory(schema);
+    try (ParquetWriter<Group> writer = ExampleParquetWriter.builder(path)
+        .withType(schema)
+        .withWriterVersion(org.apache.parquet.column.ParquetProperties.WriterVersion.PARQUET_2_0)
+        .withAlpEncoding(true)
+        .withDictionaryEncoding(false)
+        .build()) {
+      for (float[] row : rows) {
+        Group group = groupFactory.newGroup();
+        for (int c = 0; c < columnNames.length; c++) {
+          group.append(columnNames[c], row[c]);
+        }
+        writer.write(group);
+      }
+    }
+  }
 }
diff --git a/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/TestInteropAlpEncoding.java b/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/TestInteropAlpEncoding.java
index fcbfb3830b..25bb4a10b2 100644
--- a/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/TestInteropAlpEncoding.java
+++ b/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/TestInteropAlpEncoding.java
@@ -199,6 +199,142 @@ public void testReadAlpJavaSpotify1Parquet() throws IOException {
     }
   }
 
+  /**
+   * Read the ALP-encoded float32 arade parquet file (C++ generated)
+   * and verify all values match the expected CSV.
+   */
+  @Test
+  public void testReadAlpFloatAradeParquet() throws IOException {
+    Path parquetPath = resourcePath("alp_float_arade.parquet");
+    String[] columnNames = {"value1", "value2", "value3", "value4"};
+    int expectedRows = 15000;
+
+    float[][] expected = readExpectedCsvFloat("/alp_float_arade_expect.csv", columnNames.length, expectedRows);
+
+    List<Group> rows = readParquetGroups(parquetPath);
+    assertEquals("Row count should match", expectedRows, rows.size());
+
+    verifyAlpEncoding(parquetPath);
+
+    for (int r = 0; r < expectedRows; r++) {
+      Group group = rows.get(r);
+      for (int c = 0; c < columnNames.length; c++) {
+        float actual = group.getFloat(columnNames[c], 0);
+        assertEquals(
+            String.format("Mismatch at row %d, column %s", r, columnNames[c]),
+            Float.floatToIntBits(expected[c][r]),
+            Float.floatToIntBits(actual));
+      }
+    }
+  }
+
+  /**
+   * Read the ALP-encoded float32 spotify1 parquet file (C++ generated)
+   * and verify all values match the expected CSV.
+   */
+  @Test
+  public void testReadAlpFloatSpotify1Parquet() throws IOException {
+    Path parquetPath = resourcePath("alp_float_spotify1.parquet");
+    String[] columnNames = {
+      "danceability",
+      "energy",
+      "loudness",
+      "speechiness",
+      "acousticness",
+      "instrumentalness",
+      "liveness",
+      "valence",
+      "tempo"
+    };
+    int expectedRows = 15000;
+
+    float[][] expected = readExpectedCsvFloat("/alp_float_spotify1_expect.csv", columnNames.length, expectedRows);
+
+    List<Group> rows = readParquetGroups(parquetPath);
+    assertEquals("Row count should match", expectedRows, rows.size());
+
+    verifyAlpEncoding(parquetPath);
+
+    for (int r = 0; r < expectedRows; r++) {
+      Group group = rows.get(r);
+      for (int c = 0; c < columnNames.length; c++) {
+        float actual = group.getFloat(columnNames[c], 0);
+        assertEquals(
+            String.format("Mismatch at row %d, column %s", r, columnNames[c]),
+            Float.floatToIntBits(expected[c][r]),
+            Float.floatToIntBits(actual));
+      }
+    }
+  }
+
+  /**
+   * Read the Java-generated ALP-encoded float32 arade parquet file
+   * and verify all values match the expected CSV.
+   */
+  @Test
+  public void testReadAlpJavaFloatAradeParquet() throws IOException {
+    Path parquetPath = resourcePath("alp_java_float_arade.parquet");
+    String[] columnNames = {"value1", "value2", "value3", "value4"};
+    int expectedRows = 15000;
+
+    float[][] expected = readExpectedCsvFloat("/alp_float_arade_expect.csv", columnNames.length, expectedRows);
+
+    List<Group> rows = readParquetGroups(parquetPath);
+    assertEquals("Row count should match", expectedRows, rows.size());
+
+    verifyAlpEncoding(parquetPath);
+
+    for (int r = 0; r < expectedRows; r++) {
+      Group group = rows.get(r);
+      for (int c = 0; c < columnNames.length; c++) {
+        float actual = group.getFloat(columnNames[c], 0);
+        assertEquals(
+            String.format("Mismatch at row %d, column %s", r, columnNames[c]),
+            Float.floatToIntBits(expected[c][r]),
+            Float.floatToIntBits(actual));
+      }
+    }
+  }
+
+  /**
+   * Read the Java-generated ALP-encoded float32 spotify1 parquet file
+   * and verify all values match the expected CSV.
+   */
+  @Test
+  public void testReadAlpJavaFloatSpotify1Parquet() throws IOException {
+    Path parquetPath = resourcePath("alp_java_float_spotify1.parquet");
+    String[] columnNames = {
+      "danceability",
+      "energy",
+      "loudness",
+      "speechiness",
+      "acousticness",
+      "instrumentalness",
+      "liveness",
+      "valence",
+      "tempo"
+    };
+    int expectedRows = 15000;
+
+    float[][] expected = readExpectedCsvFloat("/alp_float_spotify1_expect.csv", columnNames.length, expectedRows);
+
+    List<Group> rows = readParquetGroups(parquetPath);
+    assertEquals("Row count should match", expectedRows, rows.size());
+
+    verifyAlpEncoding(parquetPath);
+
+    for (int r = 0; r < expectedRows; r++) {
+      Group group = rows.get(r);
+      for (int c = 0; c < columnNames.length; c++) {
+        float actual = group.getFloat(columnNames[c], 0);
+        assertEquals(
+            String.format("Mismatch at row %d, column %s", r, columnNames[c]),
+            Float.floatToIntBits(expected[c][r]),
+            Float.floatToIntBits(actual));
+      }
+    }
+  }
+
   private List<Group> readParquetGroups(Path path) throws IOException {
     List<Group> rows = new ArrayList<>();
     try (ParquetReader<Group> reader =
@@ -254,4 +390,33 @@ private double[][] readExpectedCsv(String resourcePath, int numColumns, int expe
     }
     return columns;
   }
+
+  /**
+   * Parse expected CSV into float column arrays.
+   * CSV format: header row, then data rows with comma-separated float values.
+   */
+  private float[][] readExpectedCsvFloat(String resourcePath, int numColumns, int expectedRows) throws IOException {
+    float[][] columns = new float[numColumns][expectedRows];
+    try (InputStream is = getClass().getResourceAsStream(resourcePath);
+        BufferedReader br = new BufferedReader(new InputStreamReader(is, StandardCharsets.UTF_8))) {
+      assertNotNull("CSV resource not found: " + resourcePath, is);
+
+      // Skip header
+      String header = br.readLine();
+      assertNotNull("CSV should have a header", header);
+
+      int row = 0;
+      String line;
+      while ((line = br.readLine()) != null) {
+        String[] parts = line.split(",");
+        assertEquals("CSV row " + row + " should have " + numColumns + " columns", numColumns, parts.length);
+        for (int c = 0; c < numColumns; c++) {
+          columns[c][row] = Float.parseFloat(parts[c]);
+        }
+        row++;
+      }
+      assertEquals("CSV should have " + expectedRows + " data rows", expectedRows, row);
+    }
+    return columns;
+  }
 }
diff --git a/parquet-hadoop/src/test/resources/alp_float_arade.parquet b/parquet-hadoop/src/test/resources/alp_float_arade.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..489cc18d0e523a21a16436c904d498645a81c41e
GIT binary patch
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diff --git a/parquet-hadoop/src/test/resources/alp_float_arade_expect.csv b/parquet-hadoop/src/test/resources/alp_float_arade_expect.csv
new file mode 100644
index 0000000000..5c88c4c66d
--- /dev/null
+++ b/parquet-hadoop/src/test/resources/alp_float_arade_expect.csv
@@ -0,0 +1,15001 @@
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diff --git a/parquet-hadoop/src/test/resources/alp_float_spotify1.parquet b/parquet-hadoop/src/test/resources/alp_float_spotify1.parquet
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diff --git a/parquet-hadoop/src/test/resources/alp_float_spotify1_expect.csv b/parquet-hadoop/src/test/resources/alp_float_spotify1_expect.csv
new file mode 100644
index 0000000000..3259c95835
--- /dev/null
+++ b/parquet-hadoop/src/test/resources/alp_float_spotify1_expect.csv
@@ -0,0 +1,15001 @@
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diff --git a/parquet-hadoop/src/test/resources/alp_java_float_arade.parquet b/parquet-hadoop/src/test/resources/alp_java_float_arade.parquet
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diff --git a/parquet-hadoop/src/test/resources/alp_java_float_spotify1.parquet b/parquet-hadoop/src/test/resources/alp_java_float_spotify1.parquet
new file mode 100644
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HcmV?d00001

diff --git a/pom.xml b/pom.xml
index d27788932c..7b6fa0c7b7 100644
--- a/pom.xml
+++ b/pom.xml
@@ -475,6 +475,7 @@
           <excludes>
             <exclude>.github/PULL_REQUEST_TEMPLATE.md</exclude>
             <exclude>**/*.parquet</exclude>
+            <exclude>**/*.csv</exclude>
             <exclude>**/*.avro</exclude>
             <exclude>**/*.json</exclude>
             <exclude>**/*.avsc</exclude>

From 385d05301f96d7e45faf7538d4a00c9c22ede118 Mon Sep 17 00:00:00 2001
From: Prateek Gaur <prateek.gaur@snowflake.com>
Date: Sun, 8 Mar 2026 04:59:11 +0000
Subject: [PATCH 15/24] ALP: Add codec-level and pipeline throughput benchmarks

Add two benchmarks for measuring ALP performance:
- AlpCodecThroughput: Codec-level encode/decode throughput in MB/s
  with 1M values across decimal/integer/mixed datasets for both
  float and double types. Directly comparable to C++ encoding_alp_benchmark.
- AlpDecompressionThroughput: Full Parquet pipeline read throughput
  measuring end-to-end decompression on real parquet files.

Also add Hadoop CRC files for Java-generated test parquet resources.
---
 .../alp/benchmark/AlpCodecThroughput.java     | 221 ++++++++++++++++++
 .../hadoop/AlpDecompressionThroughput.java    | 129 ++++++++++
 .../resources/.alp_java_arade.parquet.crc     | Bin 0 -> 1420 bytes
 .../.alp_java_float_arade.parquet.crc         | Bin 0 -> 2136 bytes
 .../.alp_java_float_spotify1.parquet.crc      | Bin 0 -> 2644 bytes
 .../resources/.alp_java_spotify1.parquet.crc  | Bin 0 -> 2440 bytes
 6 files changed, 350 insertions(+)
 create mode 100644 parquet-column/src/test/java/org/apache/parquet/column/values/alp/benchmark/AlpCodecThroughput.java
 create mode 100644 parquet-hadoop/src/test/java/org/apache/parquet/hadoop/AlpDecompressionThroughput.java
 create mode 100644 parquet-hadoop/src/test/resources/.alp_java_arade.parquet.crc
 create mode 100644 parquet-hadoop/src/test/resources/.alp_java_float_arade.parquet.crc
 create mode 100644 parquet-hadoop/src/test/resources/.alp_java_float_spotify1.parquet.crc
 create mode 100644 parquet-hadoop/src/test/resources/.alp_java_spotify1.parquet.crc

diff --git a/parquet-column/src/test/java/org/apache/parquet/column/values/alp/benchmark/AlpCodecThroughput.java b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/benchmark/AlpCodecThroughput.java
new file mode 100644
index 0000000000..f312835fb6
--- /dev/null
+++ b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/benchmark/AlpCodecThroughput.java
@@ -0,0 +1,221 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+package org.apache.parquet.column.values.alp.benchmark;
+
+import java.io.IOException;
+import java.nio.ByteBuffer;
+import java.util.Random;
+import org.apache.parquet.bytes.ByteBufferInputStream;
+import org.apache.parquet.column.values.alp.AlpValuesReaderForDouble;
+import org.apache.parquet.column.values.alp.AlpValuesReaderForFloat;
+import org.apache.parquet.column.values.alp.AlpValuesWriter;
+import org.junit.BeforeClass;
+import org.junit.Test;
+
+/**
+ * Codec-level ALP throughput benchmark reporting MB/s.
+ *
+ * <p>Comparable to C++ encoding_alp_benchmark.cc. Measures encode and decode
+ * throughput at the codec level (no Parquet pipeline overhead).
+ */
+public class AlpCodecThroughput {
+
+  private static final int NUM_VALUES = 1_000_000;
+  private static final int WARMUP = 10;
+  private static final int MEASURED = 30;
+
+  // Datasets
+  private static double[] doubleDecimal;
+  private static double[] doubleInteger;
+  private static double[] doubleMixed;
+  private static float[] floatDecimal;
+  private static float[] floatInteger;
+  private static float[] floatMixed;
+
+  // Pre-compressed
+  private static byte[] doubleDecimalComp;
+  private static byte[] doubleIntegerComp;
+  private static byte[] doubleMixedComp;
+  private static byte[] floatDecimalComp;
+  private static byte[] floatIntegerComp;
+  private static byte[] floatMixedComp;
+
+  @BeforeClass
+  public static void setup() throws IOException {
+    Random rng = new Random(42);
+
+    doubleDecimal = new double[NUM_VALUES];
+    for (int i = 0; i < NUM_VALUES; i++) {
+      doubleDecimal[i] = Math.round(rng.nextDouble() * 10000) / 100.0;
+    }
+
+    doubleInteger = new double[NUM_VALUES];
+    for (int i = 0; i < NUM_VALUES; i++) {
+      doubleInteger[i] = (double) rng.nextInt(100000);
+    }
+
+    doubleMixed = new double[NUM_VALUES];
+    for (int i = 0; i < NUM_VALUES; i++) {
+      doubleMixed[i] = Math.round(rng.nextDouble() * 10000) / 100.0;
+    }
+    for (int i = 0; i < NUM_VALUES; i += 50) {
+      doubleMixed[i] = Double.NaN;
+    }
+
+    floatDecimal = new float[NUM_VALUES];
+    for (int i = 0; i < NUM_VALUES; i++) {
+      floatDecimal[i] = Math.round(rng.nextFloat() * 10000) / 100.0f;
+    }
+
+    floatInteger = new float[NUM_VALUES];
+    for (int i = 0; i < NUM_VALUES; i++) {
+      floatInteger[i] = (float) rng.nextInt(100000);
+    }
+
+    floatMixed = new float[NUM_VALUES];
+    for (int i = 0; i < NUM_VALUES; i++) {
+      floatMixed[i] = Math.round(rng.nextFloat() * 10000) / 100.0f;
+    }
+    for (int i = 0; i < NUM_VALUES; i += 50) {
+      floatMixed[i] = Float.NaN;
+    }
+
+    doubleDecimalComp = compressDoubles(doubleDecimal);
+    doubleIntegerComp = compressDoubles(doubleInteger);
+    doubleMixedComp = compressDoubles(doubleMixed);
+    floatDecimalComp = compressFloats(floatDecimal);
+    floatIntegerComp = compressFloats(floatInteger);
+    floatMixedComp = compressFloats(floatMixed);
+  }
+
+  @Test
+  public void measureThroughput() throws IOException {
+    System.out.println();
+    System.out.println("=== ALP Codec-Level Throughput (1M values) ===");
+    System.out.printf("%-30s %10s %10s %10s %10s%n",
+        "Dataset", "Enc MB/s", "Dec MB/s", "Raw KB", "Comp KB");
+    System.out.println("------------------------------" +
+        " ---------- ---------- ---------- ----------");
+
+    benchDouble("double_decimal", doubleDecimal, doubleDecimalComp);
+    benchDouble("double_integer", doubleInteger, doubleIntegerComp);
+    benchDouble("double_mixed(2%exc)", doubleMixed, doubleMixedComp);
+    benchFloat("float_decimal", floatDecimal, floatDecimalComp);
+    benchFloat("float_integer", floatInteger, floatIntegerComp);
+    benchFloat("float_mixed(2%exc)", floatMixed, floatMixedComp);
+
+    System.out.println();
+  }
+
+  private void benchDouble(String name, double[] data, byte[] compressed) throws IOException {
+    long rawBytes = (long) data.length * Double.BYTES;
+
+    // Warmup encode
+    for (int i = 0; i < WARMUP; i++) {
+      compressDoubles(data);
+    }
+    // Measure encode
+    long encNanos = 0;
+    for (int i = 0; i < MEASURED; i++) {
+      long t0 = System.nanoTime();
+      compressDoubles(data);
+      encNanos += System.nanoTime() - t0;
+    }
+
+    // Warmup decode
+    for (int i = 0; i < WARMUP; i++) {
+      decompressDoubles(compressed, data.length);
+    }
+    // Measure decode
+    long decNanos = 0;
+    for (int i = 0; i < MEASURED; i++) {
+      long t0 = System.nanoTime();
+      decompressDoubles(compressed, data.length);
+      decNanos += System.nanoTime() - t0;
+    }
+
+    double encMBps = (rawBytes * MEASURED / (encNanos / 1e9)) / (1024.0 * 1024.0);
+    double decMBps = (rawBytes * MEASURED / (decNanos / 1e9)) / (1024.0 * 1024.0);
+
+    System.out.printf("%-30s %10.1f %10.1f %10d %10d%n",
+        name, encMBps, decMBps, rawBytes / 1024, compressed.length / 1024);
+  }
+
+  private void benchFloat(String name, float[] data, byte[] compressed) throws IOException {
+    long rawBytes = (long) data.length * Float.BYTES;
+
+    for (int i = 0; i < WARMUP; i++) {
+      compressFloats(data);
+    }
+    long encNanos = 0;
+    for (int i = 0; i < MEASURED; i++) {
+      long t0 = System.nanoTime();
+      compressFloats(data);
+      encNanos += System.nanoTime() - t0;
+    }
+
+    for (int i = 0; i < WARMUP; i++) {
+      decompressFloats(compressed, data.length);
+    }
+    long decNanos = 0;
+    for (int i = 0; i < MEASURED; i++) {
+      long t0 = System.nanoTime();
+      decompressFloats(compressed, data.length);
+      decNanos += System.nanoTime() - t0;
+    }
+
+    double encMBps = (rawBytes * MEASURED / (encNanos / 1e9)) / (1024.0 * 1024.0);
+    double decMBps = (rawBytes * MEASURED / (decNanos / 1e9)) / (1024.0 * 1024.0);
+
+    System.out.printf("%-30s %10.1f %10.1f %10d %10d%n",
+        name, encMBps, decMBps, rawBytes / 1024, compressed.length / 1024);
+  }
+
+  private static byte[] compressDoubles(double[] values) throws IOException {
+    AlpValuesWriter.DoubleAlpValuesWriter writer = new AlpValuesWriter.DoubleAlpValuesWriter();
+    for (double v : values) {
+      writer.writeDouble(v);
+    }
+    return writer.getBytes().toByteArray();
+  }
+
+  private static byte[] compressFloats(float[] values) throws IOException {
+    AlpValuesWriter.FloatAlpValuesWriter writer = new AlpValuesWriter.FloatAlpValuesWriter();
+    for (float v : values) {
+      writer.writeFloat(v);
+    }
+    return writer.getBytes().toByteArray();
+  }
+
+  private static void decompressDoubles(byte[] compressed, int numValues) throws IOException {
+    AlpValuesReaderForDouble reader = new AlpValuesReaderForDouble();
+    reader.initFromPage(numValues, ByteBufferInputStream.wrap(ByteBuffer.wrap(compressed)));
+    for (int i = 0; i < numValues; i++) {
+      reader.readDouble();
+    }
+  }
+
+  private static void decompressFloats(byte[] compressed, int numValues) throws IOException {
+    AlpValuesReaderForFloat reader = new AlpValuesReaderForFloat();
+    reader.initFromPage(numValues, ByteBufferInputStream.wrap(ByteBuffer.wrap(compressed)));
+    for (int i = 0; i < numValues; i++) {
+      reader.readFloat();
+    }
+  }
+}
diff --git a/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/AlpDecompressionThroughput.java b/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/AlpDecompressionThroughput.java
new file mode 100644
index 0000000000..ae5b62ca17
--- /dev/null
+++ b/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/AlpDecompressionThroughput.java
@@ -0,0 +1,129 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+package org.apache.parquet.hadoop;
+
+import java.io.IOException;
+import java.net.URISyntaxException;
+import org.apache.hadoop.fs.Path;
+import org.apache.parquet.example.data.Group;
+import org.apache.parquet.hadoop.example.GroupReadSupport;
+import org.apache.parquet.hadoop.metadata.ParquetMetadata;
+import org.junit.Test;
+
+/**
+ * Measures ALP decompression throughput in bytes/second for real-world datasets.
+ * Reports raw (uncompressed) bytes/second and compressed bytes/second.
+ */
+public class AlpDecompressionThroughput {
+
+  private static final int WARMUP_ITERS = 5;
+  private static final int MEASURED_ITERS = 20;
+
+  private static Path resourcePath(String name) {
+    try {
+      return new Path(AlpDecompressionThroughput.class.getResource("/" + name).toURI());
+    } catch (URISyntaxException e) {
+      throw new RuntimeException(e);
+    }
+  }
+
+  @Test
+  public void measureDecompressionThroughput() throws IOException {
+    System.out.println();
+    System.out.println("=== ALP Decompression Throughput ===");
+    System.out.printf(
+        "%-40s %8s %6s %6s %12s %12s %12s%n",
+        "File", "Rows", "Cols", "Type", "Compressed", "Raw MB/s", "Comp MB/s");
+    System.out.println(
+        "---------------------------------------- -------- ------ ------ ------------ ------------ ------------");
+
+    // Double datasets
+    benchmarkFile("alp_arade.parquet", 15000, 4, "double", 8);
+    benchmarkFile("alp_spotify1.parquet", 15000, 9, "double", 8);
+    benchmarkFile("alp_java_arade.parquet", 15000, 4, "double", 8);
+    benchmarkFile("alp_java_spotify1.parquet", 15000, 9, "double", 8);
+
+    // Float datasets
+    benchmarkFile("alp_float_arade.parquet", 15000, 4, "float", 4);
+    benchmarkFile("alp_float_spotify1.parquet", 15000, 9, "float", 4);
+    benchmarkFile("alp_java_float_arade.parquet", 15000, 4, "float", 4);
+    benchmarkFile("alp_java_float_spotify1.parquet", 15000, 9, "float", 4);
+
+    System.out.println();
+  }
+
+  private void benchmarkFile(String fileName, int expectedRows, int numCols, String type, int bytesPerValue)
+      throws IOException {
+    Path path = resourcePath(fileName);
+
+    // Get compressed file size from parquet metadata
+    long compressedSize = 0;
+    try (ParquetFileReader pfr = ParquetFileReader.open(
+        org.apache.parquet.hadoop.util.HadoopInputFile.fromPath(
+            path, new org.apache.hadoop.conf.Configuration()))) {
+      ParquetMetadata footer = pfr.getFooter();
+      for (org.apache.parquet.hadoop.metadata.BlockMetaData block : footer.getBlocks()) {
+        compressedSize += block.getTotalByteSize();
+      }
+    }
+
+    long rawBytes = (long) expectedRows * numCols * bytesPerValue;
+
+    // Warmup
+    for (int i = 0; i < WARMUP_ITERS; i++) {
+      readAllValues(path, type, numCols);
+    }
+
+    // Measured runs
+    long totalNanos = 0;
+    for (int i = 0; i < MEASURED_ITERS; i++) {
+      long start = System.nanoTime();
+      readAllValues(path, type, numCols);
+      totalNanos += System.nanoTime() - start;
+    }
+
+    double avgSeconds = (totalNanos / (double) MEASURED_ITERS) / 1_000_000_000.0;
+    double rawMBps = (rawBytes / avgSeconds) / (1024.0 * 1024.0);
+    double compMBps = (compressedSize / avgSeconds) / (1024.0 * 1024.0);
+
+    System.out.printf(
+        "%-40s %8d %6d %6s %12d %10.1f %10.1f%n",
+        fileName, expectedRows, numCols, type, compressedSize, rawMBps, compMBps);
+  }
+
+  private void readAllValues(Path path, String type, int numCols) throws IOException {
+    try (ParquetReader<Group> reader =
+        ParquetReader.builder(new GroupReadSupport(), path).build()) {
+      Group group;
+      if ("double".equals(type)) {
+        while ((group = reader.read()) != null) {
+          for (int c = 0; c < numCols; c++) {
+            group.getDouble(c, 0);
+          }
+        }
+      } else {
+        while ((group = reader.read()) != null) {
+          for (int c = 0; c < numCols; c++) {
+            group.getFloat(c, 0);
+          }
+        }
+      }
+    }
+  }
+}
diff --git a/parquet-hadoop/src/test/resources/.alp_java_arade.parquet.crc b/parquet-hadoop/src/test/resources/.alp_java_arade.parquet.crc
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HcmV?d00001

diff --git a/parquet-hadoop/src/test/resources/.alp_java_spotify1.parquet.crc b/parquet-hadoop/src/test/resources/.alp_java_spotify1.parquet.crc
new file mode 100644
index 0000000000000000000000000000000000000000..2a4d158c05e0ed60ecd03863121e6b7a83b80258
GIT binary patch
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literal 0
HcmV?d00001


From abbe36d72e5eae8dd6520dbb6496ade7be1f71d9 Mon Sep 17 00:00:00 2001
From: Prateek Gaur <prateek.gaur@snowflake.com>
Date: Sun, 8 Mar 2026 05:26:25 +0000
Subject: [PATCH 16/24] ALP: Add pipeline integration, reader buffer reuse, and
 validation

Writer pipeline integration:
- Use CapacityByteArrayOutputStream for encoded vector storage instead
  of List<byte[]>, integrating with Parquet's memory management
- Use BytesInput.concat() for zero-copy page assembly
- Accept (initialCapacity, pageSize, ByteBufferAllocator) constructor
  params; factory now passes pipeline properties

Reader memory efficiency:
- Allocate decoded buffer once in initFromPage() and reuse across all
  vector decodes, eliminating per-vector float[]/double[] allocations
- Improves decode throughput 5-24% across all datasets

Reader validation:
- Validate logVectorSize bounds (MIN_LOG to MAX_LOG)
- Validate non-negative element count
- Validate skip(n) bounds
---
 .../column/values/alp/AlpValuesReader.java    |  23 ++-
 .../values/alp/AlpValuesReaderForDouble.java  |   8 +-
 .../values/alp/AlpValuesReaderForFloat.java   |   8 +-
 .../column/values/alp/AlpValuesWriter.java    | 193 ++++++++++--------
 .../factory/DefaultV2ValuesWriterFactory.java |  10 +-
 5 files changed, 147 insertions(+), 95 deletions(-)

diff --git a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesReader.java b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesReader.java
index b6b8f3cb6b..0f07033280 100644
--- a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesReader.java
+++ b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesReader.java
@@ -33,6 +33,10 @@
  * <p>On {@link #initFromPage}, reads the 7-byte header and offset array but does NOT
  * decode any vectors. Vectors are decoded on demand when values are accessed.
  * {@link #skip()} is O(1) — it just advances the index.
+ *
+ * <p>Reuses the decoded buffer across vectors to reduce allocations.
+ * Validates header fields (compression mode, integer encoding, log vector size bounds,
+ * element count) and skip bounds.
  */
 abstract class AlpValuesReader extends ValuesReader {
 
@@ -42,7 +46,7 @@ abstract class AlpValuesReader extends ValuesReader {
   protected int currentIndex;
   protected int decodedVectorIndex = -1;
   protected int[] vectorOffsets;
-  protected byte[] rawData; // all data after header
+  protected byte[] rawData; // all data after header (offsets + vectors)
 
   @Override
   public void initFromPage(int valueCount, ByteBufferInputStream stream) throws IOException {
@@ -67,6 +71,13 @@ public void initFromPage(int valueCount, ByteBufferInputStream stream) throws IO
     if (integerEncoding != INTEGER_ENCODING_FOR) {
       throw new ParquetDecodingException("Unsupported ALP integer encoding: " + integerEncoding);
     }
+    if (logVectorSize < MIN_LOG_VECTOR_SIZE || logVectorSize > MAX_LOG_VECTOR_SIZE) {
+      throw new ParquetDecodingException("Invalid ALP log vector size: " + logVectorSize
+          + ", must be between " + MIN_LOG_VECTOR_SIZE + " and " + MAX_LOG_VECTOR_SIZE);
+    }
+    if (totalCount < 0) {
+      throw new ParquetDecodingException("Invalid ALP element count: " + totalCount);
+    }
 
     vectorSize = 1 << logVectorSize;
     numVectors = (totalCount + vectorSize - 1) / vectorSize;
@@ -76,6 +87,7 @@ public void initFromPage(int valueCount, ByteBufferInputStream stream) throws IO
     if (numVectors == 0) {
       vectorOffsets = new int[0];
       rawData = new byte[0];
+      allocateDecodedBuffer(vectorSize);
       return;
     }
 
@@ -90,6 +102,8 @@ public void initFromPage(int valueCount, ByteBufferInputStream stream) throws IO
     for (int i = 0; i < numVectors; i++) {
       vectorOffsets[i] = body.getInt();
     }
+
+    allocateDecodedBuffer(vectorSize);
   }
 
   @Override
@@ -99,6 +113,10 @@ public void skip() {
 
   @Override
   public void skip(int n) {
+    if (n < 0 || currentIndex + n > totalCount) {
+      throw new ParquetDecodingException(String.format(
+          "Cannot skip %d elements. Current index: %d, total count: %d", n, currentIndex, totalCount));
+    }
     currentIndex += n;
   }
 
@@ -110,4 +128,7 @@ protected int elementsInVector(int vectorIdx) {
     int rem = totalCount % vectorSize;
     return (rem == 0) ? vectorSize : rem;
   }
+
+  /** Allocate the decoded buffer once; called from initFromPage. */
+  protected abstract void allocateDecodedBuffer(int capacity);
 }
diff --git a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesReaderForDouble.java b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesReaderForDouble.java
index 69ae6debb5..3c61d85544 100644
--- a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesReaderForDouble.java
+++ b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesReaderForDouble.java
@@ -22,11 +22,18 @@
 
 /**
  * ALP values reader for double columns with lazy per-vector decoding.
+ *
+ * <p>Reuses the decoded buffer across vectors to reduce allocations.
  */
 public class AlpValuesReaderForDouble extends AlpValuesReader {
 
   private double[] decodedBuffer;
 
+  @Override
+  protected void allocateDecodedBuffer(int capacity) {
+    this.decodedBuffer = new double[capacity];
+  }
+
   @Override
   public double readDouble() {
     if (currentIndex >= totalCount) {
@@ -47,7 +54,6 @@ private void ensureVectorDecoded(int vectorIdx) {
     int dataOffset = vectorOffsets[vectorIdx];
     AlpCompression.DoubleCompressedVector cv =
         AlpCompression.DoubleCompressedVector.load(rawData, dataOffset, numElements);
-    decodedBuffer = new double[numElements];
     AlpCompression.decompressDoubleVector(cv, decodedBuffer);
     decodedVectorIndex = vectorIdx;
   }
diff --git a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesReaderForFloat.java b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesReaderForFloat.java
index 8fd39f3df0..210b77f592 100644
--- a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesReaderForFloat.java
+++ b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesReaderForFloat.java
@@ -22,11 +22,18 @@
 
 /**
  * ALP values reader for float columns with lazy per-vector decoding.
+ *
+ * <p>Reuses the decoded buffer across vectors to reduce allocations.
  */
 public class AlpValuesReaderForFloat extends AlpValuesReader {
 
   private float[] decodedBuffer;
 
+  @Override
+  protected void allocateDecodedBuffer(int capacity) {
+    this.decodedBuffer = new float[capacity];
+  }
+
   @Override
   public float readFloat() {
     if (currentIndex >= totalCount) {
@@ -47,7 +54,6 @@ private void ensureVectorDecoded(int vectorIdx) {
     int dataOffset = vectorOffsets[vectorIdx];
     AlpCompression.FloatCompressedVector cv =
         AlpCompression.FloatCompressedVector.load(rawData, dataOffset, numElements);
-    decodedBuffer = new float[numElements];
     AlpCompression.decompressFloatVector(cv, decodedBuffer);
     decodedVectorIndex = vectorIdx;
   }
diff --git a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesWriter.java b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesWriter.java
index 3245f1405e..f7c435cc1a 100644
--- a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesWriter.java
+++ b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesWriter.java
@@ -20,9 +20,14 @@
 
 import static org.apache.parquet.column.values.alp.AlpConstants.*;
 
+import java.nio.ByteBuffer;
+import java.nio.ByteOrder;
 import java.util.ArrayList;
 import java.util.List;
+import org.apache.parquet.bytes.ByteBufferAllocator;
 import org.apache.parquet.bytes.BytesInput;
+import org.apache.parquet.bytes.CapacityByteArrayOutputStream;
+import org.apache.parquet.bytes.HeapByteBufferAllocator;
 import org.apache.parquet.column.Encoding;
 import org.apache.parquet.column.values.ValuesWriter;
 
@@ -33,6 +38,10 @@
  * it is compressed via {@link AlpCompression} and stored. On {@link #getBytes()},
  * assembles the ALP page: [Header(7B)][Offsets...][Vector0][Vector1]...
  *
+ * <p>Uses {@link CapacityByteArrayOutputStream} for encoded vector storage
+ * and {@link BytesInput#concat} for zero-copy page assembly, integrating
+ * with the Parquet pipeline's memory management.
+ *
  * <p>Sampling: the first vector's data is used to create an encoding preset via
  * {@link AlpSampler}. The preset is cached for subsequent vectors.
  */
@@ -41,8 +50,6 @@ public abstract class AlpValuesWriter extends ValuesWriter {
   protected final int vectorSize;
   protected int bufferedCount; // values in current partial vector
   protected int totalCount; // total values written
-  protected final List<byte[]> encodedVectors = new ArrayList<>();
-  protected final List<Integer> encodedVectorSizes = new ArrayList<>();
   protected AlpCompression.AlpEncodingPreset preset;
   protected boolean presetReady;
 
@@ -59,41 +66,40 @@ public Encoding getEncoding() {
     return Encoding.ALP;
   }
 
-  @Override
-  public void reset() {
-    bufferedCount = 0;
-    totalCount = 0;
-    encodedVectors.clear();
-    encodedVectorSizes.clear();
-    preset = null;
-    presetReady = false;
-    resetVectorBuffer();
-  }
-
-  protected abstract void resetVectorBuffer();
-
-  @Override
-  public void close() {
-    reset();
-  }
-
   // ========== FloatAlpValuesWriter ==========
 
   public static class FloatAlpValuesWriter extends AlpValuesWriter {
     private float[] vectorBuffer;
     private float[] samplerBuffer;
     private int samplerCount;
+    private CapacityByteArrayOutputStream encodedVectors;
+    private final List<Integer> vectorByteSizes = new ArrayList<>();
 
-    public FloatAlpValuesWriter(int vectorSize) {
+    public FloatAlpValuesWriter(int initialCapacity, int pageSize, ByteBufferAllocator allocator) {
+      this(initialCapacity, pageSize, allocator, DEFAULT_VECTOR_SIZE);
+    }
+
+    public FloatAlpValuesWriter(
+        int initialCapacity, int pageSize, ByteBufferAllocator allocator, int vectorSize) {
       super(vectorSize);
       this.vectorBuffer = new float[this.vectorSize];
       this.samplerBuffer = new float[SAMPLER_ROWGROUP_SIZE];
+      this.encodedVectors = new CapacityByteArrayOutputStream(initialCapacity, pageSize, allocator);
     }
 
+    /** No-arg constructor for tests and benchmarks. */
     public FloatAlpValuesWriter() {
       this(DEFAULT_VECTOR_SIZE);
     }
 
+    public FloatAlpValuesWriter(int vectorSize) {
+      super(vectorSize);
+      this.vectorBuffer = new float[this.vectorSize];
+      this.samplerBuffer = new float[SAMPLER_ROWGROUP_SIZE];
+      this.encodedVectors =
+          new CapacityByteArrayOutputStream(64, 1024 * 1024, HeapByteBufferAllocator.getInstance());
+    }
+
     @Override
     public void writeFloat(float v) {
       // Collect for sampling if preset not ready
@@ -126,8 +132,8 @@ private void flushVector() {
       int size = cv.storedSize();
       byte[] encoded = new byte[size];
       cv.store(encoded, 0);
-      encodedVectors.add(encoded);
-      encodedVectorSizes.add(size);
+      encodedVectors.write(encoded, 0, size);
+      vectorByteSizes.add(size);
       bufferedCount = 0;
     }
 
@@ -145,56 +151,39 @@ public BytesInput getBytes() {
         return BytesInput.from(header);
       }
 
-      // Calculate layout
-      int numVectors = encodedVectors.size();
+      // Build header
+      byte[] header = new byte[HEADER_SIZE];
+      writeAlpHeader(header, vectorSize, totalCount);
+
+      // Build offset array
+      int numVectors = vectorByteSizes.size();
       int offsetsSectionSize = numVectors * OFFSET_SIZE;
-      int[] offsets = new int[numVectors];
+      ByteBuffer offsets = ByteBuffer.allocate(offsetsSectionSize).order(ByteOrder.LITTLE_ENDIAN);
       int currentOffset = offsetsSectionSize;
       for (int i = 0; i < numVectors; i++) {
-        offsets[i] = currentOffset;
-        currentOffset += encodedVectorSizes.get(i);
-      }
-
-      // Assemble page
-      int bodySize = currentOffset;
-      byte[] page = new byte[HEADER_SIZE + bodySize];
-      writeAlpHeader(page, vectorSize, totalCount);
-
-      // Write offsets
-      int pos = HEADER_SIZE;
-      for (int offset : offsets) {
-        writeLittleEndianInt(page, pos, offset);
-        pos += OFFSET_SIZE;
-      }
-
-      // Write vectors
-      for (byte[] vec : encodedVectors) {
-        System.arraycopy(vec, 0, page, pos, vec.length);
-        pos += vec.length;
+        offsets.putInt(currentOffset);
+        currentOffset += vectorByteSizes.get(i);
       }
 
-      return BytesInput.from(page);
+      return BytesInput.concat(
+          BytesInput.from(header), BytesInput.from(offsets.array()), BytesInput.from(encodedVectors));
     }
 
     @Override
     public long getBufferedSize() {
-      long size = HEADER_SIZE;
-      for (int s : encodedVectorSizes) {
-        size += OFFSET_SIZE + s;
-      }
+      long size = HEADER_SIZE + encodedVectors.size();
+      size += (long) vectorByteSizes.size() * OFFSET_SIZE;
       size += (long) bufferedCount * Float.BYTES;
       return size;
     }
 
     @Override
     public long getAllocatedSize() {
-      long size = (vectorBuffer != null ? (long) vectorBuffer.length * Float.BYTES : 0);
+      long size = (long) vectorBuffer.length * Float.BYTES;
       if (samplerBuffer != null) {
         size += (long) samplerBuffer.length * Float.BYTES;
       }
-      for (byte[] vec : encodedVectors) {
-        size += vec.length;
-      }
+      size += encodedVectors.getCapacity();
       return size;
     }
 
@@ -202,15 +191,26 @@ public long getAllocatedSize() {
     public String memUsageString(String prefix) {
       return String.format(
           "%s ALPFloatWriter: %d values, %d vectors, %d bytes allocated",
-          prefix, totalCount, encodedVectors.size(), getAllocatedSize());
+          prefix, totalCount, vectorByteSizes.size(), getAllocatedSize());
     }
 
     @Override
-    protected void resetVectorBuffer() {
+    public void reset() {
+      bufferedCount = 0;
+      totalCount = 0;
+      encodedVectors.reset();
+      vectorByteSizes.clear();
+      preset = null;
+      presetReady = false;
       vectorBuffer = new float[vectorSize];
       samplerBuffer = new float[SAMPLER_ROWGROUP_SIZE];
       samplerCount = 0;
     }
+
+    @Override
+    public void close() {
+      encodedVectors.close();
+    }
   }
 
   // ========== DoubleAlpValuesWriter ==========
@@ -219,17 +219,34 @@ public static class DoubleAlpValuesWriter extends AlpValuesWriter {
     private double[] vectorBuffer;
     private double[] samplerBuffer;
     private int samplerCount;
+    private CapacityByteArrayOutputStream encodedVectors;
+    private final List<Integer> vectorByteSizes = new ArrayList<>();
 
-    public DoubleAlpValuesWriter(int vectorSize) {
+    public DoubleAlpValuesWriter(int initialCapacity, int pageSize, ByteBufferAllocator allocator) {
+      this(initialCapacity, pageSize, allocator, DEFAULT_VECTOR_SIZE);
+    }
+
+    public DoubleAlpValuesWriter(
+        int initialCapacity, int pageSize, ByteBufferAllocator allocator, int vectorSize) {
       super(vectorSize);
       this.vectorBuffer = new double[this.vectorSize];
       this.samplerBuffer = new double[SAMPLER_ROWGROUP_SIZE];
+      this.encodedVectors = new CapacityByteArrayOutputStream(initialCapacity, pageSize, allocator);
     }
 
+    /** No-arg constructor for tests and benchmarks. */
     public DoubleAlpValuesWriter() {
       this(DEFAULT_VECTOR_SIZE);
     }
 
+    public DoubleAlpValuesWriter(int vectorSize) {
+      super(vectorSize);
+      this.vectorBuffer = new double[this.vectorSize];
+      this.samplerBuffer = new double[SAMPLER_ROWGROUP_SIZE];
+      this.encodedVectors =
+          new CapacityByteArrayOutputStream(64, 1024 * 1024, HeapByteBufferAllocator.getInstance());
+    }
+
     @Override
     public void writeDouble(double v) {
       if (!presetReady && samplerCount < samplerBuffer.length) {
@@ -261,8 +278,8 @@ private void flushVector() {
       int size = cv.storedSize();
       byte[] encoded = new byte[size];
       cv.store(encoded, 0);
-      encodedVectors.add(encoded);
-      encodedVectorSizes.add(size);
+      encodedVectors.write(encoded, 0, size);
+      vectorByteSizes.add(size);
       bufferedCount = 0;
     }
 
@@ -279,52 +296,37 @@ public BytesInput getBytes() {
         return BytesInput.from(header);
       }
 
-      int numVectors = encodedVectors.size();
+      byte[] header = new byte[HEADER_SIZE];
+      writeAlpHeader(header, vectorSize, totalCount);
+
+      int numVectors = vectorByteSizes.size();
       int offsetsSectionSize = numVectors * OFFSET_SIZE;
-      int[] offsets = new int[numVectors];
+      ByteBuffer offsets = ByteBuffer.allocate(offsetsSectionSize).order(ByteOrder.LITTLE_ENDIAN);
       int currentOffset = offsetsSectionSize;
       for (int i = 0; i < numVectors; i++) {
-        offsets[i] = currentOffset;
-        currentOffset += encodedVectorSizes.get(i);
-      }
-
-      int bodySize = currentOffset;
-      byte[] page = new byte[HEADER_SIZE + bodySize];
-      writeAlpHeader(page, vectorSize, totalCount);
-
-      int pos = HEADER_SIZE;
-      for (int offset : offsets) {
-        writeLittleEndianInt(page, pos, offset);
-        pos += OFFSET_SIZE;
-      }
-
-      for (byte[] vec : encodedVectors) {
-        System.arraycopy(vec, 0, page, pos, vec.length);
-        pos += vec.length;
+        offsets.putInt(currentOffset);
+        currentOffset += vectorByteSizes.get(i);
       }
 
-      return BytesInput.from(page);
+      return BytesInput.concat(
+          BytesInput.from(header), BytesInput.from(offsets.array()), BytesInput.from(encodedVectors));
     }
 
     @Override
     public long getBufferedSize() {
-      long size = HEADER_SIZE;
-      for (int s : encodedVectorSizes) {
-        size += OFFSET_SIZE + s;
-      }
+      long size = HEADER_SIZE + encodedVectors.size();
+      size += (long) vectorByteSizes.size() * OFFSET_SIZE;
       size += (long) bufferedCount * Double.BYTES;
       return size;
     }
 
     @Override
     public long getAllocatedSize() {
-      long size = (vectorBuffer != null ? (long) vectorBuffer.length * Double.BYTES : 0);
+      long size = (long) vectorBuffer.length * Double.BYTES;
       if (samplerBuffer != null) {
         size += (long) samplerBuffer.length * Double.BYTES;
       }
-      for (byte[] vec : encodedVectors) {
-        size += vec.length;
-      }
+      size += encodedVectors.getCapacity();
       return size;
     }
 
@@ -332,15 +334,26 @@ public long getAllocatedSize() {
     public String memUsageString(String prefix) {
       return String.format(
           "%s ALPDoubleWriter: %d values, %d vectors, %d bytes allocated",
-          prefix, totalCount, encodedVectors.size(), getAllocatedSize());
+          prefix, totalCount, vectorByteSizes.size(), getAllocatedSize());
     }
 
     @Override
-    protected void resetVectorBuffer() {
+    public void reset() {
+      bufferedCount = 0;
+      totalCount = 0;
+      encodedVectors.reset();
+      vectorByteSizes.clear();
+      preset = null;
+      presetReady = false;
       vectorBuffer = new double[vectorSize];
       samplerBuffer = new double[SAMPLER_ROWGROUP_SIZE];
       samplerCount = 0;
     }
+
+    @Override
+    public void close() {
+      encodedVectors.close();
+    }
   }
 
   // ========== Header helpers ==========
diff --git a/parquet-column/src/main/java/org/apache/parquet/column/values/factory/DefaultV2ValuesWriterFactory.java b/parquet-column/src/main/java/org/apache/parquet/column/values/factory/DefaultV2ValuesWriterFactory.java
index f3f993a22c..535e3a2fdc 100644
--- a/parquet-column/src/main/java/org/apache/parquet/column/values/factory/DefaultV2ValuesWriterFactory.java
+++ b/parquet-column/src/main/java/org/apache/parquet/column/values/factory/DefaultV2ValuesWriterFactory.java
@@ -161,7 +161,10 @@ private ValuesWriter getInt96ValuesWriter(ColumnDescriptor path) {
   private ValuesWriter getDoubleValuesWriter(ColumnDescriptor path) {
     final ValuesWriter fallbackWriter;
     if (this.parquetProperties.isAlpEnabled(path)) {
-      fallbackWriter = new AlpValuesWriter.DoubleAlpValuesWriter();
+      fallbackWriter = new AlpValuesWriter.DoubleAlpValuesWriter(
+              parquetProperties.getInitialSlabSize(),
+              parquetProperties.getPageSizeThreshold(),
+              parquetProperties.getAllocator());
     } else if (this.parquetProperties.isByteStreamSplitEnabled(path)) {
       fallbackWriter = new ByteStreamSplitValuesWriter.DoubleByteStreamSplitValuesWriter(
           parquetProperties.getInitialSlabSize(),
@@ -180,7 +183,10 @@ private ValuesWriter getDoubleValuesWriter(ColumnDescriptor path) {
   private ValuesWriter getFloatValuesWriter(ColumnDescriptor path) {
     final ValuesWriter fallbackWriter;
     if (this.parquetProperties.isAlpEnabled(path)) {
-      fallbackWriter = new AlpValuesWriter.FloatAlpValuesWriter();
+      fallbackWriter = new AlpValuesWriter.FloatAlpValuesWriter(
+              parquetProperties.getInitialSlabSize(),
+              parquetProperties.getPageSizeThreshold(),
+              parquetProperties.getAllocator());
     } else if (this.parquetProperties.isByteStreamSplitEnabled(path)) {
       fallbackWriter = new ByteStreamSplitValuesWriter.FloatByteStreamSplitValuesWriter(
           parquetProperties.getInitialSlabSize(),

From 05996ba46e97e86694fd534e792a4b7ea961a10d Mon Sep 17 00:00:00 2001
From: Prateek Gaur <prateek.gaur@snowflake.com>
Date: Sun, 8 Mar 2026 17:23:54 +0000
Subject: [PATCH 17/24] ALP: Add encoding comparison benchmark (ALP vs ZSTD vs
 BSS+ZSTD)

---
 .../hadoop/EncodingCompressionBenchmark.java  | 393 ++++++++++++++++++
 1 file changed, 393 insertions(+)
 create mode 100644 parquet-hadoop/src/test/java/org/apache/parquet/hadoop/EncodingCompressionBenchmark.java

diff --git a/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/EncodingCompressionBenchmark.java b/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/EncodingCompressionBenchmark.java
new file mode 100644
index 0000000000..66f3eeb42b
--- /dev/null
+++ b/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/EncodingCompressionBenchmark.java
@@ -0,0 +1,393 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+package org.apache.parquet.hadoop;
+
+import com.github.luben.zstd.Zstd;
+import java.io.IOException;
+import java.nio.ByteBuffer;
+import java.nio.ByteOrder;
+import java.util.Random;
+import org.apache.parquet.bytes.ByteBufferInputStream;
+import org.apache.parquet.bytes.HeapByteBufferAllocator;
+import org.apache.parquet.column.values.alp.AlpValuesReaderForDouble;
+import org.apache.parquet.column.values.alp.AlpValuesReaderForFloat;
+import org.apache.parquet.column.values.alp.AlpValuesWriter;
+import org.apache.parquet.column.values.bytestreamsplit.ByteStreamSplitValuesReaderForDouble;
+import org.apache.parquet.column.values.bytestreamsplit.ByteStreamSplitValuesReaderForFloat;
+import org.apache.parquet.column.values.bytestreamsplit.ByteStreamSplitValuesWriter;
+import org.junit.BeforeClass;
+import org.junit.Test;
+
+/**
+ * Codec-level benchmark comparing ALP, ZSTD (plain), and ByteStreamSplit+ZSTD.
+ *
+ * <p>Comparable to C++ encoding_alp_benchmark.cc. Reports encode and decode
+ * throughput in MB/s plus compression ratio for each encoding strategy.
+ */
+public class EncodingCompressionBenchmark {
+
+  private static final int NUM_VALUES = 1_000_000;
+  private static final int WARMUP = 10;
+  private static final int MEASURED = 30;
+
+  // Datasets
+  private static double[] doubleDecimal;
+  private static double[] doubleInteger;
+  private static double[] doubleMixed;
+  private static float[] floatDecimal;
+  private static float[] floatInteger;
+  private static float[] floatMixed;
+
+  @BeforeClass
+  public static void setup() {
+    Random rng = new Random(42);
+
+    doubleDecimal = new double[NUM_VALUES];
+    for (int i = 0; i < NUM_VALUES; i++) {
+      doubleDecimal[i] = Math.round(rng.nextDouble() * 10000) / 100.0;
+    }
+
+    doubleInteger = new double[NUM_VALUES];
+    for (int i = 0; i < NUM_VALUES; i++) {
+      doubleInteger[i] = (double) rng.nextInt(100000);
+    }
+
+    doubleMixed = new double[NUM_VALUES];
+    for (int i = 0; i < NUM_VALUES; i++) {
+      doubleMixed[i] = Math.round(rng.nextDouble() * 10000) / 100.0;
+    }
+    for (int i = 0; i < NUM_VALUES; i += 50) {
+      doubleMixed[i] = Double.NaN;
+    }
+
+    floatDecimal = new float[NUM_VALUES];
+    for (int i = 0; i < NUM_VALUES; i++) {
+      floatDecimal[i] = Math.round(rng.nextFloat() * 10000) / 100.0f;
+    }
+
+    floatInteger = new float[NUM_VALUES];
+    for (int i = 0; i < NUM_VALUES; i++) {
+      floatInteger[i] = (float) rng.nextInt(100000);
+    }
+
+    floatMixed = new float[NUM_VALUES];
+    for (int i = 0; i < NUM_VALUES; i++) {
+      floatMixed[i] = Math.round(rng.nextFloat() * 10000) / 100.0f;
+    }
+    for (int i = 0; i < NUM_VALUES; i += 50) {
+      floatMixed[i] = Float.NaN;
+    }
+  }
+
+  @Test
+  public void measureThroughput() throws IOException {
+    System.out.println();
+    System.out.println("=== Encoding/Compression Benchmark (1M values, " + MEASURED + " iters) ===");
+    System.out.println();
+
+    String hdr = String.format(
+        "%-35s %10s %10s %10s %10s %8s", "Dataset / Encoding", "Enc MB/s", "Dec MB/s", "Raw KB", "Comp KB", "Ratio");
+    String sep = "-".repeat(hdr.length());
+
+    // --- Double datasets ---
+    System.out.println("=== DOUBLE (8 bytes/value) ===");
+    System.out.println(hdr);
+    System.out.println(sep);
+
+    benchAllDouble("double_decimal", doubleDecimal);
+    System.out.println();
+    benchAllDouble("double_integer", doubleInteger);
+    System.out.println();
+    benchAllDouble("double_mixed(2%exc)", doubleMixed);
+    System.out.println();
+
+    // --- Float datasets ---
+    System.out.println("=== FLOAT (4 bytes/value) ===");
+    System.out.println(hdr);
+    System.out.println(sep);
+
+    benchAllFloat("float_decimal", floatDecimal);
+    System.out.println();
+    benchAllFloat("float_integer", floatInteger);
+    System.out.println();
+    benchAllFloat("float_mixed(2%exc)", floatMixed);
+    System.out.println();
+  }
+
+  // ---- Double benchmarks ----
+
+  private void benchAllDouble(String datasetName, double[] data) throws IOException {
+    long rawBytes = (long) data.length * Double.BYTES;
+
+    // ALP
+    byte[] alpComp = alpEncodeDoubles(data);
+    benchEncodeDecode(
+        datasetName + " ALP",
+        rawBytes,
+        alpComp.length,
+        () -> alpEncodeDoubles(data),
+        () -> alpDecodeDoubles(alpComp, data.length));
+
+    // PLAIN + ZSTD
+    byte[] plainBytes = plainEncodeDoubles(data);
+    byte[] plainZstd = Zstd.compress(plainBytes);
+    benchEncodeDecode(
+        datasetName + " PLAIN+ZSTD",
+        rawBytes,
+        plainZstd.length,
+        () -> Zstd.compress(plainEncodeDoubles(data)),
+        () -> {
+          byte[] dec = Zstd.decompress(plainZstd, plainBytes.length);
+          consumeDoublesFromPlain(dec, data.length);
+        });
+
+    // BSS
+    byte[] bssBytes = bssEncodeDoubles(data);
+    benchEncodeDecode(
+        datasetName + " BSS",
+        rawBytes,
+        bssBytes.length,
+        () -> bssEncodeDoubles(data),
+        () -> bssDecodeDoubles(bssBytes, data.length));
+
+    // BSS + ZSTD
+    byte[] bssZstd = Zstd.compress(bssBytes);
+    benchEncodeDecode(
+        datasetName + " BSS+ZSTD",
+        rawBytes,
+        bssZstd.length,
+        () -> Zstd.compress(bssEncodeDoubles(data)),
+        () -> {
+          byte[] dec = Zstd.decompress(bssZstd, bssBytes.length);
+          bssDecodeDoublesFromRaw(dec, data.length);
+        });
+  }
+
+  // ---- Float benchmarks ----
+
+  private void benchAllFloat(String datasetName, float[] data) throws IOException {
+    long rawBytes = (long) data.length * Float.BYTES;
+
+    // ALP
+    byte[] alpComp = alpEncodeFloats(data);
+    benchEncodeDecode(
+        datasetName + " ALP",
+        rawBytes,
+        alpComp.length,
+        () -> alpEncodeFloats(data),
+        () -> alpDecodeFloats(alpComp, data.length));
+
+    // PLAIN + ZSTD
+    byte[] plainBytes = plainEncodeFloats(data);
+    byte[] plainZstd = Zstd.compress(plainBytes);
+    benchEncodeDecode(
+        datasetName + " PLAIN+ZSTD",
+        rawBytes,
+        plainZstd.length,
+        () -> Zstd.compress(plainEncodeFloats(data)),
+        () -> {
+          byte[] dec = Zstd.decompress(plainZstd, plainBytes.length);
+          consumeFloatsFromPlain(dec, data.length);
+        });
+
+    // BSS
+    byte[] bssBytes = bssEncodeFloats(data);
+    benchEncodeDecode(
+        datasetName + " BSS",
+        rawBytes,
+        bssBytes.length,
+        () -> bssEncodeFloats(data),
+        () -> bssDecodeFloats(bssBytes, data.length));
+
+    // BSS + ZSTD
+    byte[] bssZstd = Zstd.compress(bssBytes);
+    benchEncodeDecode(
+        datasetName + " BSS+ZSTD",
+        rawBytes,
+        bssZstd.length,
+        () -> Zstd.compress(bssEncodeFloats(data)),
+        () -> {
+          byte[] dec = Zstd.decompress(bssZstd, bssBytes.length);
+          bssDecodeFloatsFromRaw(dec, data.length);
+        });
+  }
+
+  // ---- Benchmark harness ----
+
+  @FunctionalInterface
+  interface BenchRunnable {
+    void run() throws Exception;
+  }
+
+  private void benchEncodeDecode(String name, long rawBytes, long compBytes, BenchRunnable enc, BenchRunnable dec)
+      throws IOException {
+    try {
+      // Warmup
+      for (int i = 0; i < WARMUP; i++) {
+        enc.run();
+      }
+      long encNanos = 0;
+      for (int i = 0; i < MEASURED; i++) {
+        long t0 = System.nanoTime();
+        enc.run();
+        encNanos += System.nanoTime() - t0;
+      }
+
+      for (int i = 0; i < WARMUP; i++) {
+        dec.run();
+      }
+      long decNanos = 0;
+      for (int i = 0; i < MEASURED; i++) {
+        long t0 = System.nanoTime();
+        dec.run();
+        decNanos += System.nanoTime() - t0;
+      }
+
+      double encMBps = (rawBytes * (double) MEASURED / (encNanos / 1e9)) / (1024.0 * 1024.0);
+      double decMBps = (rawBytes * (double) MEASURED / (decNanos / 1e9)) / (1024.0 * 1024.0);
+      double ratio = (double) compBytes / rawBytes * 100.0;
+
+      System.out.printf(
+          "%-35s %10.1f %10.1f %10d %10d %7.1f%%%n",
+          name, encMBps, decMBps, rawBytes / 1024, compBytes / 1024, ratio);
+    } catch (Exception e) {
+      throw new IOException("Benchmark failed for " + name, e);
+    }
+  }
+
+  // ---- ALP encode/decode ----
+
+  private static byte[] alpEncodeDoubles(double[] values) throws IOException {
+    AlpValuesWriter.DoubleAlpValuesWriter writer = new AlpValuesWriter.DoubleAlpValuesWriter();
+    for (double v : values) {
+      writer.writeDouble(v);
+    }
+    return writer.getBytes().toByteArray();
+  }
+
+  private static void alpDecodeDoubles(byte[] compressed, int numValues) throws IOException {
+    AlpValuesReaderForDouble reader = new AlpValuesReaderForDouble();
+    reader.initFromPage(numValues, ByteBufferInputStream.wrap(ByteBuffer.wrap(compressed)));
+    for (int i = 0; i < numValues; i++) {
+      reader.readDouble();
+    }
+  }
+
+  private static byte[] alpEncodeFloats(float[] values) throws IOException {
+    AlpValuesWriter.FloatAlpValuesWriter writer = new AlpValuesWriter.FloatAlpValuesWriter();
+    for (float v : values) {
+      writer.writeFloat(v);
+    }
+    return writer.getBytes().toByteArray();
+  }
+
+  private static void alpDecodeFloats(byte[] compressed, int numValues) throws IOException {
+    AlpValuesReaderForFloat reader = new AlpValuesReaderForFloat();
+    reader.initFromPage(numValues, ByteBufferInputStream.wrap(ByteBuffer.wrap(compressed)));
+    for (int i = 0; i < numValues; i++) {
+      reader.readFloat();
+    }
+  }
+
+  // ---- PLAIN encode/decode ----
+
+  private static byte[] plainEncodeDoubles(double[] values) {
+    ByteBuffer buf = ByteBuffer.allocate(values.length * Double.BYTES).order(ByteOrder.LITTLE_ENDIAN);
+    for (double v : values) {
+      buf.putDouble(v);
+    }
+    return buf.array();
+  }
+
+  private static void consumeDoublesFromPlain(byte[] raw, int numValues) {
+    ByteBuffer buf = ByteBuffer.wrap(raw).order(ByteOrder.LITTLE_ENDIAN);
+    for (int i = 0; i < numValues; i++) {
+      buf.getDouble();
+    }
+  }
+
+  private static byte[] plainEncodeFloats(float[] values) {
+    ByteBuffer buf = ByteBuffer.allocate(values.length * Float.BYTES).order(ByteOrder.LITTLE_ENDIAN);
+    for (float v : values) {
+      buf.putFloat(v);
+    }
+    return buf.array();
+  }
+
+  private static void consumeFloatsFromPlain(byte[] raw, int numValues) {
+    ByteBuffer buf = ByteBuffer.wrap(raw).order(ByteOrder.LITTLE_ENDIAN);
+    for (int i = 0; i < numValues; i++) {
+      buf.getFloat();
+    }
+  }
+
+  // ---- ByteStreamSplit encode/decode ----
+
+  private static byte[] bssEncodeDoubles(double[] values) throws IOException {
+    ByteStreamSplitValuesWriter.DoubleByteStreamSplitValuesWriter writer =
+        new ByteStreamSplitValuesWriter.DoubleByteStreamSplitValuesWriter(
+            64 * 1024, 8 * 1024 * 1024, HeapByteBufferAllocator.getInstance());
+    for (double v : values) {
+      writer.writeDouble(v);
+    }
+    return writer.getBytes().toByteArray();
+  }
+
+  private static void bssDecodeDoubles(byte[] encoded, int numValues) throws IOException {
+    ByteStreamSplitValuesReaderForDouble reader = new ByteStreamSplitValuesReaderForDouble();
+    reader.initFromPage(numValues, ByteBufferInputStream.wrap(ByteBuffer.wrap(encoded)));
+    for (int i = 0; i < numValues; i++) {
+      reader.readDouble();
+    }
+  }
+
+  private static void bssDecodeDoublesFromRaw(byte[] encoded, int numValues) throws IOException {
+    ByteStreamSplitValuesReaderForDouble reader = new ByteStreamSplitValuesReaderForDouble();
+    reader.initFromPage(numValues, ByteBufferInputStream.wrap(ByteBuffer.wrap(encoded)));
+    for (int i = 0; i < numValues; i++) {
+      reader.readDouble();
+    }
+  }
+
+  private static byte[] bssEncodeFloats(float[] values) throws IOException {
+    ByteStreamSplitValuesWriter.FloatByteStreamSplitValuesWriter writer =
+        new ByteStreamSplitValuesWriter.FloatByteStreamSplitValuesWriter(
+            64 * 1024, 8 * 1024 * 1024, HeapByteBufferAllocator.getInstance());
+    for (float v : values) {
+      writer.writeFloat(v);
+    }
+    return writer.getBytes().toByteArray();
+  }
+
+  private static void bssDecodeFloats(byte[] encoded, int numValues) throws IOException {
+    ByteStreamSplitValuesReaderForFloat reader = new ByteStreamSplitValuesReaderForFloat();
+    reader.initFromPage(numValues, ByteBufferInputStream.wrap(ByteBuffer.wrap(encoded)));
+    for (int i = 0; i < numValues; i++) {
+      reader.readFloat();
+    }
+  }
+
+  private static void bssDecodeFloatsFromRaw(byte[] encoded, int numValues) throws IOException {
+    ByteStreamSplitValuesReaderForFloat reader = new ByteStreamSplitValuesReaderForFloat();
+    reader.initFromPage(numValues, ByteBufferInputStream.wrap(ByteBuffer.wrap(encoded)));
+    for (int i = 0; i < numValues; i++) {
+      reader.readFloat();
+    }
+  }
+}

From 8f4cb195dd4416659fc1bfec1fb7411c4f3fd628 Mon Sep 17 00:00:00 2001
From: Prateek Gaur <prateek.gaur@snowflake.com>
Date: Sun, 8 Mar 2026 22:29:24 +0000
Subject: [PATCH 18/24] ALP: Pre-allocate long[] encoded buffer for double
 vector decodes
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Reuse encoded long[] buffer across double vector decompression calls
instead of allocating new long[1024] per vector. Buffer is allocated
once in initFromPage and passed through to decompressDoubleVector.

Float decode is intentionally left unchanged — JVM escape analysis
produces better code when int[] is allocated fresh per vector call.
---
 .../parquet/column/values/alp/AlpCompression.java    | 12 ++++++++++--
 .../column/values/alp/AlpValuesReaderForDouble.java  |  4 +++-
 2 files changed, 13 insertions(+), 3 deletions(-)

diff --git a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpCompression.java b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpCompression.java
index daf3c53cfd..83de2e5493 100644
--- a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpCompression.java
+++ b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpCompression.java
@@ -399,12 +399,20 @@ static DoubleCompressedVector compressDoubleVector(double[] input, int count, Al
 
   static void decompressDoubleVector(DoubleCompressedVector v, double[] output) {
     long[] encoded = new long[v.numElements];
+    decompressDoubleVector(v, output, encoded);
+  }
+
+  static void decompressDoubleVector(DoubleCompressedVector v, double[] output, long[] encodedBuffer) {
     if (v.bitWidth > 0) {
-      unpackLongs(v.packedValues, v.numElements, v.bitWidth, encoded);
+      unpackLongs(v.packedValues, v.numElements, v.bitWidth, encodedBuffer);
+    } else {
+      for (int i = 0; i < v.numElements; i++) {
+        encodedBuffer[i] = 0;
+      }
     }
 
     for (int i = 0; i < v.numElements; i++) {
-      long unfored = encoded[i] + v.frameOfReference;
+      long unfored = encodedBuffer[i] + v.frameOfReference;
       output[i] = AlpEncoderDecoder.decodeDouble(unfored, v.exponent, v.factor);
     }
 
diff --git a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesReaderForDouble.java b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesReaderForDouble.java
index 3c61d85544..5886d6ae9b 100644
--- a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesReaderForDouble.java
+++ b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpValuesReaderForDouble.java
@@ -28,10 +28,12 @@
 public class AlpValuesReaderForDouble extends AlpValuesReader {
 
   private double[] decodedBuffer;
+  private long[] encodedLongBuffer;
 
   @Override
   protected void allocateDecodedBuffer(int capacity) {
     this.decodedBuffer = new double[capacity];
+    this.encodedLongBuffer = new long[capacity];
   }
 
   @Override
@@ -54,7 +56,7 @@ private void ensureVectorDecoded(int vectorIdx) {
     int dataOffset = vectorOffsets[vectorIdx];
     AlpCompression.DoubleCompressedVector cv =
         AlpCompression.DoubleCompressedVector.load(rawData, dataOffset, numElements);
-    AlpCompression.decompressDoubleVector(cv, decodedBuffer);
+    AlpCompression.decompressDoubleVector(cv, decodedBuffer, encodedLongBuffer);
     decodedVectorIndex = vectorIdx;
   }
 }

From 78cb02d5aa37893e049e39febdf6fbf95bc16293 Mon Sep 17 00:00:00 2001
From: Prateek Gaur <prateek.gaur@snowflake.com>
Date: Sun, 8 Mar 2026 23:47:36 +0000
Subject: [PATCH 19/24] ALP: Use unpack32Values for long bit unpacking

Process 32 values at a time in unpackLongs instead of 8, reducing
the number of method calls by 4x during double vector decompression.
Only applied to the long (double) path; int (float) unpacking is
unchanged as JIT produces better code with the original 8-value path.
---
 .../column/values/alp/AlpCompression.java     | 31 +++++++++++++------
 1 file changed, 22 insertions(+), 9 deletions(-)

diff --git a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpCompression.java b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpCompression.java
index 83de2e5493..baa010457f 100644
--- a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpCompression.java
+++ b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpCompression.java
@@ -477,21 +477,34 @@ static void packLongs(long[] values, int count, int bitWidth, byte[] output) {
     }
   }
 
-  @SuppressWarnings("deprecation")
   static void unpackLongs(byte[] packed, int count, int bitWidth, long[] output) {
     BytePackerForLong packer = Packer.LITTLE_ENDIAN.newBytePackerForLong(bitWidth);
-    int fullGroups = count / 8;
-    for (int g = 0; g < fullGroups; g++) {
-      packer.unpack8Values(packed, g * bitWidth, output, g * 8);
+
+    // Process 32 values at a time (4x fewer calls than unpack8Values)
+    int fullGroups32 = count / 32;
+    for (int g = 0; g < fullGroups32; g++) {
+      packer.unpack32Values(packed, g * bitWidth * 4, output, g * 32);
     }
-    int remaining = count % 8;
-    if (remaining > 0) {
+
+    // Process remaining 8 at a time
+    int processed = fullGroups32 * 32;
+    int byteOffset = fullGroups32 * bitWidth * 4;
+    int remaining8 = (count - processed) / 8;
+    for (int g = 0; g < remaining8; g++) {
+      packer.unpack8Values(packed, byteOffset + g * bitWidth, output, processed + g * 8);
+    }
+
+    // Handle tail (< 8 values)
+    int tailStart = processed + remaining8 * 8;
+    int tailCount = count - tailStart;
+    if (tailCount > 0) {
+      int tailByteOffset = byteOffset + remaining8 * bitWidth;
       byte[] tmp = new byte[bitWidth];
-      int available = packed.length - fullGroups * bitWidth;
-      System.arraycopy(packed, fullGroups * bitWidth, tmp, 0, Math.min(available, bitWidth));
+      int available = packed.length - tailByteOffset;
+      System.arraycopy(packed, tailByteOffset, tmp, 0, Math.min(available, bitWidth));
       long[] padded = new long[8];
       packer.unpack8Values(tmp, 0, padded, 0);
-      System.arraycopy(padded, 0, output, fullGroups * 8, remaining);
+      System.arraycopy(padded, 0, output, tailStart, tailCount);
     }
   }
 }

From af73f5eaf46b66c65010d046ae57bd85382b8c40 Mon Sep 17 00:00:00 2001
From: Prateek Gaur <prateek.gaur@snowflake.com>
Date: Mon, 9 Mar 2026 00:00:54 +0000
Subject: [PATCH 20/24] ALP: Inline decode with hoisted multipliers for double
 decompression

Hoist DOUBLE_POW10[factor] and DOUBLE_POW10_NEGATIVE[exponent] lookups
out of the decode loop and inline the multiplication directly, avoiding
per-element method call overhead and enabling better JIT vectorization.
Only applied to the double path; float decode keeps the decodeFloat()
method call as JIT produces better code for the smaller method.
---
 .../parquet/column/values/alp/AlpCompression.java      | 10 +++++++---
 1 file changed, 7 insertions(+), 3 deletions(-)

diff --git a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpCompression.java b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpCompression.java
index baa010457f..ca738e343c 100644
--- a/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpCompression.java
+++ b/parquet-column/src/main/java/org/apache/parquet/column/values/alp/AlpCompression.java
@@ -411,9 +411,13 @@ static void decompressDoubleVector(DoubleCompressedVector v, double[] output, lo
       }
     }
 
-    for (int i = 0; i < v.numElements; i++) {
-      long unfored = encodedBuffer[i] + v.frameOfReference;
-      output[i] = AlpEncoderDecoder.decodeDouble(unfored, v.exponent, v.factor);
+    // Fused unFOR + decode with hoisted multipliers
+    final long frameOfRef = v.frameOfReference;
+    final double factorMul = DOUBLE_POW10[v.factor];
+    final double expMul = DOUBLE_POW10_NEGATIVE[v.exponent];
+    final int numElements = v.numElements;
+    for (int i = 0; i < numElements; i++) {
+      output[i] = (double) (encodedBuffer[i] + frameOfRef) * factorMul * expMul;
     }
 
     for (int i = 0; i < v.numExceptions; i++) {

From 9c1526bdde50f0e7c8d124d95284c32ad9a94bb3 Mon Sep 17 00:00:00 2001
From: Prateek Gaur <prateek.gaur@snowflake.com>
Date: Mon, 9 Mar 2026 05:31:41 +0000
Subject: [PATCH 21/24] ALP: Use real Spotify dataset in codec throughput
 benchmark

Replace synthetic random data with actual Spotify audio features columns
(valence, danceability, energy, etc.) from alp_spotify1_expect.csv for
direct comparability with the C++ encoding_alp_benchmark. The 15K source
rows are tiled to 1M values for stable measurement.
---
 .../alp/benchmark/AlpCodecThroughput.java     |   215 +-
 .../resources/alp_float_spotify1_expect.csv   | 15001 ++++++++++++++++
 .../test/resources/alp_spotify1_expect.csv    | 15001 ++++++++++++++++
 3 files changed, 30146 insertions(+), 71 deletions(-)
 create mode 100644 parquet-column/src/test/resources/alp_float_spotify1_expect.csv
 create mode 100644 parquet-column/src/test/resources/alp_spotify1_expect.csv

diff --git a/parquet-column/src/test/java/org/apache/parquet/column/values/alp/benchmark/AlpCodecThroughput.java b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/benchmark/AlpCodecThroughput.java
index f312835fb6..074293730d 100644
--- a/parquet-column/src/test/java/org/apache/parquet/column/values/alp/benchmark/AlpCodecThroughput.java
+++ b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/benchmark/AlpCodecThroughput.java
@@ -18,9 +18,13 @@
  */
 package org.apache.parquet.column.values.alp.benchmark;
 
+import java.io.BufferedReader;
 import java.io.IOException;
+import java.io.InputStream;
+import java.io.InputStreamReader;
 import java.nio.ByteBuffer;
-import java.util.Random;
+import java.util.ArrayList;
+import java.util.List;
 import org.apache.parquet.bytes.ByteBufferInputStream;
 import org.apache.parquet.column.values.alp.AlpValuesReaderForDouble;
 import org.apache.parquet.column.values.alp.AlpValuesReaderForFloat;
@@ -29,108 +33,177 @@
 import org.junit.Test;
 
 /**
- * Codec-level ALP throughput benchmark reporting MB/s.
+ * Codec-level ALP throughput benchmark using real Spotify dataset columns.
  *
  * <p>Comparable to C++ encoding_alp_benchmark.cc. Measures encode and decode
- * throughput at the codec level (no Parquet pipeline overhead).
+ * throughput at the codec level (no Parquet pipeline overhead). Uses the same
+ * Spotify audio features dataset as the C++ benchmark for direct comparison.
+ *
+ * <p>The CSV source has 15K rows per column; values are tiled to 1M for stable
+ * measurement.
  */
 public class AlpCodecThroughput {
 
-  private static final int NUM_VALUES = 1_000_000;
+  private static final int TARGET_VALUES = 1_000_000;
   private static final int WARMUP = 10;
   private static final int MEASURED = 30;
 
-  // Datasets
-  private static double[] doubleDecimal;
-  private static double[] doubleInteger;
-  private static double[] doubleMixed;
-  private static float[] floatDecimal;
-  private static float[] floatInteger;
-  private static float[] floatMixed;
-
-  // Pre-compressed
-  private static byte[] doubleDecimalComp;
-  private static byte[] doubleIntegerComp;
-  private static byte[] doubleMixedComp;
-  private static byte[] floatDecimalComp;
-  private static byte[] floatIntegerComp;
-  private static byte[] floatMixedComp;
+  private static final String DOUBLE_CSV = "alp_spotify1_expect.csv";
+  private static final String FLOAT_CSV = "alp_float_spotify1_expect.csv";
+
+  // Spotify column names matching C++ benchmark
+  private static final String[] COLUMNS = {
+    "valence", "danceability", "energy", "loudness", "speechiness",
+    "acousticness", "instrumentalness", "liveness", "tempo"
+  };
+
+  private static double[][] doubleColumns;
+  private static float[][] floatColumns;
+  private static byte[][] doubleCompressed;
+  private static byte[][] floatCompressed;
 
   @BeforeClass
   public static void setup() throws IOException {
-    Random rng = new Random(42);
-
-    doubleDecimal = new double[NUM_VALUES];
-    for (int i = 0; i < NUM_VALUES; i++) {
-      doubleDecimal[i] = Math.round(rng.nextDouble() * 10000) / 100.0;
+    // Load double columns from Spotify CSV
+    double[][] rawDoubles = loadDoubleCsv(DOUBLE_CSV);
+    doubleColumns = new double[rawDoubles.length][];
+    doubleCompressed = new byte[rawDoubles.length][];
+    for (int c = 0; c < rawDoubles.length; c++) {
+      doubleColumns[c] = tile(rawDoubles[c], TARGET_VALUES);
+      doubleCompressed[c] = compressDoubles(doubleColumns[c]);
     }
 
-    doubleInteger = new double[NUM_VALUES];
-    for (int i = 0; i < NUM_VALUES; i++) {
-      doubleInteger[i] = (double) rng.nextInt(100000);
+    // Load float columns from Spotify CSV
+    float[][] rawFloats = loadFloatCsv(FLOAT_CSV);
+    floatColumns = new float[rawFloats.length][];
+    floatCompressed = new byte[rawFloats.length][];
+    for (int c = 0; c < rawFloats.length; c++) {
+      floatColumns[c] = tile(rawFloats[c], TARGET_VALUES);
+      floatCompressed[c] = compressFloats(floatColumns[c]);
     }
+  }
 
-    doubleMixed = new double[NUM_VALUES];
-    for (int i = 0; i < NUM_VALUES; i++) {
-      doubleMixed[i] = Math.round(rng.nextDouble() * 10000) / 100.0;
-    }
-    for (int i = 0; i < NUM_VALUES; i += 50) {
-      doubleMixed[i] = Double.NaN;
-    }
+  @Test
+  public void measureThroughput() throws IOException {
+    System.out.println();
+    System.out.printf("=== ALP Codec-Level Throughput (%dK values, Spotify dataset) ===%n",
+        TARGET_VALUES / 1000);
+    System.out.println();
 
-    floatDecimal = new float[NUM_VALUES];
-    for (int i = 0; i < NUM_VALUES; i++) {
-      floatDecimal[i] = Math.round(rng.nextFloat() * 10000) / 100.0f;
+    // Double columns
+    System.out.printf("%-30s %10s %10s %10s %10s%n",
+        "Double Column", "Enc MB/s", "Dec MB/s", "Raw KB", "Comp KB");
+    System.out.println("------------------------------"
+        + " ---------- ---------- ---------- ----------");
+    for (int c = 0; c < doubleColumns.length; c++) {
+      benchDouble(COLUMNS[c], doubleColumns[c], doubleCompressed[c]);
     }
 
-    floatInteger = new float[NUM_VALUES];
-    for (int i = 0; i < NUM_VALUES; i++) {
-      floatInteger[i] = (float) rng.nextInt(100000);
-    }
+    System.out.println();
 
-    floatMixed = new float[NUM_VALUES];
-    for (int i = 0; i < NUM_VALUES; i++) {
-      floatMixed[i] = Math.round(rng.nextFloat() * 10000) / 100.0f;
+    // Float columns
+    System.out.printf("%-30s %10s %10s %10s %10s%n",
+        "Float Column", "Enc MB/s", "Dec MB/s", "Raw KB", "Comp KB");
+    System.out.println("------------------------------"
+        + " ---------- ---------- ---------- ----------");
+    for (int c = 0; c < floatColumns.length; c++) {
+      benchFloat(COLUMNS[c], floatColumns[c], floatCompressed[c]);
     }
-    for (int i = 0; i < NUM_VALUES; i += 50) {
-      floatMixed[i] = Float.NaN;
+
+    System.out.println();
+  }
+
+  // ========== CSV loading ==========
+
+  private static double[][] loadDoubleCsv(String resource) throws IOException {
+    try (InputStream is = AlpCodecThroughput.class.getClassLoader().getResourceAsStream(resource)) {
+      if (is == null) {
+        throw new IOException("Resource not found: " + resource);
+      }
+      BufferedReader br = new BufferedReader(new InputStreamReader(is));
+      String header = br.readLine();
+      int numCols = header.split(",").length;
+
+      List<double[]> rows = new ArrayList<>();
+      String line;
+      while ((line = br.readLine()) != null) {
+        String[] parts = line.split(",");
+        double[] row = new double[numCols];
+        for (int i = 0; i < numCols; i++) {
+          row[i] = Double.parseDouble(parts[i]);
+        }
+        rows.add(row);
+      }
+
+      // Transpose: rows -> columns
+      double[][] columns = new double[numCols][rows.size()];
+      for (int r = 0; r < rows.size(); r++) {
+        double[] row = rows.get(r);
+        for (int c = 0; c < numCols; c++) {
+          columns[c][r] = row[c];
+        }
+      }
+      return columns;
     }
+  }
 
-    doubleDecimalComp = compressDoubles(doubleDecimal);
-    doubleIntegerComp = compressDoubles(doubleInteger);
-    doubleMixedComp = compressDoubles(doubleMixed);
-    floatDecimalComp = compressFloats(floatDecimal);
-    floatIntegerComp = compressFloats(floatInteger);
-    floatMixedComp = compressFloats(floatMixed);
+  private static float[][] loadFloatCsv(String resource) throws IOException {
+    try (InputStream is = AlpCodecThroughput.class.getClassLoader().getResourceAsStream(resource)) {
+      if (is == null) {
+        throw new IOException("Resource not found: " + resource);
+      }
+      BufferedReader br = new BufferedReader(new InputStreamReader(is));
+      String header = br.readLine();
+      int numCols = header.split(",").length;
+
+      List<float[]> rows = new ArrayList<>();
+      String line;
+      while ((line = br.readLine()) != null) {
+        String[] parts = line.split(",");
+        float[] row = new float[numCols];
+        for (int i = 0; i < numCols; i++) {
+          row[i] = Float.parseFloat(parts[i]);
+        }
+        rows.add(row);
+      }
+
+      float[][] columns = new float[numCols][rows.size()];
+      for (int r = 0; r < rows.size(); r++) {
+        float[] row = rows.get(r);
+        for (int c = 0; c < numCols; c++) {
+          columns[c][r] = row[c];
+        }
+      }
+      return columns;
+    }
   }
 
-  @Test
-  public void measureThroughput() throws IOException {
-    System.out.println();
-    System.out.println("=== ALP Codec-Level Throughput (1M values) ===");
-    System.out.printf("%-30s %10s %10s %10s %10s%n",
-        "Dataset", "Enc MB/s", "Dec MB/s", "Raw KB", "Comp KB");
-    System.out.println("------------------------------" +
-        " ---------- ---------- ---------- ----------");
+  // ========== Tiling ==========
 
-    benchDouble("double_decimal", doubleDecimal, doubleDecimalComp);
-    benchDouble("double_integer", doubleInteger, doubleIntegerComp);
-    benchDouble("double_mixed(2%exc)", doubleMixed, doubleMixedComp);
-    benchFloat("float_decimal", floatDecimal, floatDecimalComp);
-    benchFloat("float_integer", floatInteger, floatIntegerComp);
-    benchFloat("float_mixed(2%exc)", floatMixed, floatMixedComp);
+  private static double[] tile(double[] source, int targetSize) {
+    double[] result = new double[targetSize];
+    for (int i = 0; i < targetSize; i++) {
+      result[i] = source[i % source.length];
+    }
+    return result;
+  }
 
-    System.out.println();
+  private static float[] tile(float[] source, int targetSize) {
+    float[] result = new float[targetSize];
+    for (int i = 0; i < targetSize; i++) {
+      result[i] = source[i % source.length];
+    }
+    return result;
   }
 
+  // ========== Benchmark methods ==========
+
   private void benchDouble(String name, double[] data, byte[] compressed) throws IOException {
     long rawBytes = (long) data.length * Double.BYTES;
 
-    // Warmup encode
     for (int i = 0; i < WARMUP; i++) {
       compressDoubles(data);
     }
-    // Measure encode
     long encNanos = 0;
     for (int i = 0; i < MEASURED; i++) {
       long t0 = System.nanoTime();
@@ -138,11 +211,9 @@ private void benchDouble(String name, double[] data, byte[] compressed) throws I
       encNanos += System.nanoTime() - t0;
     }
 
-    // Warmup decode
     for (int i = 0; i < WARMUP; i++) {
       decompressDoubles(compressed, data.length);
     }
-    // Measure decode
     long decNanos = 0;
     for (int i = 0; i < MEASURED; i++) {
       long t0 = System.nanoTime();
@@ -187,6 +258,8 @@ private void benchFloat(String name, float[] data, byte[] compressed) throws IOE
         name, encMBps, decMBps, rawBytes / 1024, compressed.length / 1024);
   }
 
+  // ========== Compress / Decompress ==========
+
   private static byte[] compressDoubles(double[] values) throws IOException {
     AlpValuesWriter.DoubleAlpValuesWriter writer = new AlpValuesWriter.DoubleAlpValuesWriter();
     for (double v : values) {
diff --git a/parquet-column/src/test/resources/alp_float_spotify1_expect.csv b/parquet-column/src/test/resources/alp_float_spotify1_expect.csv
new file mode 100644
index 0000000000..3259c95835
--- /dev/null
+++ b/parquet-column/src/test/resources/alp_float_spotify1_expect.csv
@@ -0,0 +1,15001 @@
+danceability,energy,loudness,speechiness,acousticness,instrumentalness,liveness,valence,tempo
+0.675999999,0.460999995,-6.74599981,0.143000007,0.0322000012,1.01000001e-06,0.35800001,0.714999974,87.9169998
+0.419999987,0.165999994,-17.2350006,0.0763000026,0.924000025,5.55999986e-06,0.101000004,0.26699999,77.4889984
+0.437999994,0.358999997,-9.73400021,0.0557000004,0.209999993,0,0.116999999,0.119999997,76.3320007
+0.266000003,0.0595999993,-18.5149994,0.0362999998,0.904999971,7.06999999e-05,0.131999999,0.143000007,181.740005
+0.617999971,0.442999989,-9.68099976,0.0526000001,0.469000012,0,0.0829000026,0.166999996,119.948997
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diff --git a/parquet-column/src/test/resources/alp_spotify1_expect.csv b/parquet-column/src/test/resources/alp_spotify1_expect.csv
new file mode 100644
index 0000000000..8c4e0f37bb
--- /dev/null
+++ b/parquet-column/src/test/resources/alp_spotify1_expect.csv
@@ -0,0 +1,15001 @@
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From a598134764a3ae1f18e71f529bbe7e388577c4f2 Mon Sep 17 00:00:00 2001
From: Prateek Gaur <prateek.gaur@snowflake.com>
Date: Mon, 9 Mar 2026 14:42:02 +0000
Subject: [PATCH 22/24] ALP: Remove duplicate CSV test data from parquet-column

Load Spotify CSV files from parquet-hadoop/src/test/resources/ instead
of duplicating them into parquet-column/src/test/resources/. The
benchmark now resolves the CSV directory relative to the project root.
---
 .../alp/benchmark/AlpCodecThroughput.java     |    45 +-
 .../resources/alp_float_spotify1_expect.csv   | 15001 ----------------
 .../test/resources/alp_spotify1_expect.csv    | 15001 ----------------
 3 files changed, 31 insertions(+), 30016 deletions(-)
 delete mode 100644 parquet-column/src/test/resources/alp_float_spotify1_expect.csv
 delete mode 100644 parquet-column/src/test/resources/alp_spotify1_expect.csv

diff --git a/parquet-column/src/test/java/org/apache/parquet/column/values/alp/benchmark/AlpCodecThroughput.java b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/benchmark/AlpCodecThroughput.java
index 074293730d..6da59c2b11 100644
--- a/parquet-column/src/test/java/org/apache/parquet/column/values/alp/benchmark/AlpCodecThroughput.java
+++ b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/benchmark/AlpCodecThroughput.java
@@ -19,10 +19,14 @@
 package org.apache.parquet.column.values.alp.benchmark;
 
 import java.io.BufferedReader;
+import java.io.FileInputStream;
 import java.io.IOException;
 import java.io.InputStream;
 import java.io.InputStreamReader;
 import java.nio.ByteBuffer;
+import java.nio.file.Files;
+import java.nio.file.Path;
+import java.nio.file.Paths;
 import java.util.ArrayList;
 import java.util.List;
 import org.apache.parquet.bytes.ByteBufferInputStream;
@@ -48,6 +52,7 @@ public class AlpCodecThroughput {
   private static final int WARMUP = 10;
   private static final int MEASURED = 30;
 
+  private static final String CSV_DIR = "parquet-hadoop/src/test/resources";
   private static final String DOUBLE_CSV = "alp_spotify1_expect.csv";
   private static final String FLOAT_CSV = "alp_float_spotify1_expect.csv";
 
@@ -64,8 +69,9 @@ public class AlpCodecThroughput {
 
   @BeforeClass
   public static void setup() throws IOException {
-    // Load double columns from Spotify CSV
-    double[][] rawDoubles = loadDoubleCsv(DOUBLE_CSV);
+    Path csvDir = findCsvDir();
+
+    double[][] rawDoubles = loadDoubleCsv(csvDir.resolve(DOUBLE_CSV));
     doubleColumns = new double[rawDoubles.length][];
     doubleCompressed = new byte[rawDoubles.length][];
     for (int c = 0; c < rawDoubles.length; c++) {
@@ -73,8 +79,7 @@ public static void setup() throws IOException {
       doubleCompressed[c] = compressDoubles(doubleColumns[c]);
     }
 
-    // Load float columns from Spotify CSV
-    float[][] rawFloats = loadFloatCsv(FLOAT_CSV);
+    float[][] rawFloats = loadFloatCsv(csvDir.resolve(FLOAT_CSV));
     floatColumns = new float[rawFloats.length][];
     floatCompressed = new byte[rawFloats.length][];
     for (int c = 0; c < rawFloats.length; c++) {
@@ -115,11 +120,27 @@ public void measureThroughput() throws IOException {
 
   // ========== CSV loading ==========
 
-  private static double[][] loadDoubleCsv(String resource) throws IOException {
-    try (InputStream is = AlpCodecThroughput.class.getClassLoader().getResourceAsStream(resource)) {
-      if (is == null) {
-        throw new IOException("Resource not found: " + resource);
+  /**
+   * Find the CSV directory. Searches from the working directory upward for the
+   * parquet-hadoop test resources directory, so the benchmark works whether run
+   * from the project root or from parquet-column/.
+   */
+  private static Path findCsvDir() throws IOException {
+    Path dir = Paths.get("").toAbsolutePath();
+    for (int i = 0; i < 3; i++) {
+      Path candidate = dir.resolve(CSV_DIR);
+      if (Files.isDirectory(candidate) && Files.exists(candidate.resolve(DOUBLE_CSV))) {
+        return candidate;
       }
+      dir = dir.getParent();
+      if (dir == null) break;
+    }
+    throw new IOException("Cannot find CSV directory '" + CSV_DIR
+        + "'. Run from the parquet-java project root.");
+  }
+
+  private static double[][] loadDoubleCsv(Path csvPath) throws IOException {
+    try (InputStream is = new FileInputStream(csvPath.toFile())) {
       BufferedReader br = new BufferedReader(new InputStreamReader(is));
       String header = br.readLine();
       int numCols = header.split(",").length;
@@ -135,7 +156,6 @@ private static double[][] loadDoubleCsv(String resource) throws IOException {
         rows.add(row);
       }
 
-      // Transpose: rows -> columns
       double[][] columns = new double[numCols][rows.size()];
       for (int r = 0; r < rows.size(); r++) {
         double[] row = rows.get(r);
@@ -147,11 +167,8 @@ private static double[][] loadDoubleCsv(String resource) throws IOException {
     }
   }
 
-  private static float[][] loadFloatCsv(String resource) throws IOException {
-    try (InputStream is = AlpCodecThroughput.class.getClassLoader().getResourceAsStream(resource)) {
-      if (is == null) {
-        throw new IOException("Resource not found: " + resource);
-      }
+  private static float[][] loadFloatCsv(Path csvPath) throws IOException {
+    try (InputStream is = new FileInputStream(csvPath.toFile())) {
       BufferedReader br = new BufferedReader(new InputStreamReader(is));
       String header = br.readLine();
       int numCols = header.split(",").length;
diff --git a/parquet-column/src/test/resources/alp_float_spotify1_expect.csv b/parquet-column/src/test/resources/alp_float_spotify1_expect.csv
deleted file mode 100644
index 3259c95835..0000000000
--- a/parquet-column/src/test/resources/alp_float_spotify1_expect.csv
+++ /dev/null
@@ -1,15001 +0,0 @@
-danceability,energy,loudness,speechiness,acousticness,instrumentalness,liveness,valence,tempo
-0.675999999,0.460999995,-6.74599981,0.143000007,0.0322000012,1.01000001e-06,0.35800001,0.714999974,87.9169998
-0.419999987,0.165999994,-17.2350006,0.0763000026,0.924000025,5.55999986e-06,0.101000004,0.26699999,77.4889984
-0.437999994,0.358999997,-9.73400021,0.0557000004,0.209999993,0,0.116999999,0.119999997,76.3320007
-0.266000003,0.0595999993,-18.5149994,0.0362999998,0.904999971,7.06999999e-05,0.131999999,0.143000007,181.740005
-0.617999971,0.442999989,-9.68099976,0.0526000001,0.469000012,0,0.0829000026,0.166999996,119.948997
-0.688000023,0.481000006,-8.80700016,0.104999997,0.289000005,0,0.188999996,0.666000009,98.0169983
-0.407000005,0.147,-8.82199955,0.0355000012,0.856999993,2.88999991e-06,0.0913000032,0.0764999986,141.283997
-0.703000009,0.444000006,-9.33100033,0.0417000018,0.559000015,0,0.0973000005,0.712000012,150.960007
-0.625,0.414000005,-8.69999981,0.0368999988,0.294,0,0.150999993,0.66900003,130.087997
-0.442000002,0.632000029,-6.76999998,0.0295000002,0.425999999,0.00418999977,0.0734999999,0.195999995,78.8990021
-0.626999974,0.363000005,-8.12699986,0.0291000009,0.279000014,0,0.0927999988,0.300999999,99.9049988
-0.48300001,0.303000003,-10.0579996,0.0428999998,0.694000006,0,0.115000002,0.138999999,133.406006
-0.488999993,0.31400001,-9.24499989,0.0331000015,0.749000013,0,0.112999998,0.606999993,124.234001
-0.690999985,0.233999997,-6.44099998,0.0285,0.77700001,0,0.119999997,0.209000006,87.1029968
-0.754999995,0.779999971,-6.08400011,0.0326999985,0.123999998,2.83000008e-05,0.120999999,0.386999995,120.003998
-0.488999993,0.56099999,-7.93300009,0.0274,0.200000003,4.56000016e-05,0.179000005,0.238000005,83.4570007
-0.70599997,0.112000003,-18.0979996,0.0390999988,0.827000022,4.03000013e-06,0.125,0.414000005,110.153999
-0.795000017,0.0841000006,-18.0900002,0.0461000018,0.741999984,1.17e-05,0.0852999985,0.609000027,91.8030014
-0.625,0.414000005,-8.69999981,0.0368999988,0.294,0,0.150999993,0.66900003,130.087997
-0.717000008,0.319999993,-8.39299965,0.0283000004,0.829999983,0,0.107000001,0.321999997,107.945999
-0.703000009,0.444000006,-9.33100033,0.0417000018,0.559000015,0,0.0973000005,0.712000012,150.960007
-0.677999973,0.351000011,-8.65400028,0.0265999995,0.746999979,0,0.354999989,0.569000006,90.0319977
-0.407000005,0.147,-8.82199955,0.0355000012,0.856999993,2.88999991e-06,0.0913000032,0.0764999986,141.283997
-0.572000027,0.453999996,-10.2860003,0.0258000009,0.476999998,1.36999997e-05,0.0974000022,0.514999986,140.182007
-0.796000004,0.666999996,-4.83099985,0.0392000005,0.381000012,0,0.221000001,0.754000008,97.987999
-0.754999995,0.453999996,-9.60900021,0.0351999998,0.757000029,0,0.236000001,0.330000013,120.059998
-0.620000005,0.308999985,-9.20899963,0.0494999997,0.787999988,0,0.145999998,0.663999975,145.363007
-0.633000016,0.42899999,-6.78399992,0.0381000005,0.0443999991,0,0.131999999,0.519999981,143.792999
-0.620000005,0.308999985,-9.20899963,0.0494999997,0.787999988,0,0.145999998,0.663999975,145.363007
-0.620000005,0.308999985,-9.20899963,0.0494999997,0.787999988,0,0.145999998,0.663999975,145.363007
-0.620000005,0.308999985,-9.20899963,0.0494999997,0.787999988,0,0.145999998,0.663999975,145.363007
-0.620000005,0.308999985,-9.20899963,0.0494999997,0.787999988,0,0.145999998,0.663999975,145.363007
-0.592999995,0.455000013,-8.19200039,0.0388000011,0.365999997,0,0.0913999975,0.56400001,202.018997
-0.296000004,0.206,-11.7989998,0.0412000008,0.782000005,0.000224999996,0.0958999991,0.202000007,165.399994
-0.296000004,0.206,-11.7989998,0.0412000008,0.782000005,0.000224999996,0.0958999991,0.202000007,165.399994
-0.296000004,0.206,-11.7989998,0.0412000008,0.782000005,0.000224999996,0.0958999991,0.202000007,165.399994
-0.409000009,0.152999997,-10.7399998,0.0306000002,0.93900001,2.56000003e-05,0.108000003,0.180000007,85.262001
-0.500999987,0.0952000022,-12.9309998,0.0540000014,0.963,1.58000003e-05,0.0914999992,0.316000015,138.016006
-0.606000006,0.326000005,-10.0310001,0.0294000003,0.841000021,0,0.138999999,0.414000005,91.6259995
-0.409000009,0.152999997,-10.7399998,0.0306000002,0.93900001,2.56000003e-05,0.108000003,0.180000007,85.262001
-0.474000007,0.518999994,-5.29099989,0.0252999999,0.280999988,0,0.107000001,0.326000005,151.832001
-0.568000019,0.300999999,-10.1630001,0.0373000018,0.796000004,3.37000006e-06,0.118000001,0.142000005,88.0289993
-0.568000019,0.68599999,-6.63500023,0.0329999998,0.150000006,1.80999996e-06,0.0881000012,0.725000024,172.074997
-0.568000019,0.68599999,-6.63500023,0.0329999998,0.150000006,1.80999996e-06,0.0881000012,0.725000024,172.074997
-0.476000011,0.666000009,-3.43799996,0.0445999987,0.31400001,0,0.342000008,0.497999996,148.154999
-0.568000019,0.68599999,-6.63500023,0.0329999998,0.150000006,1.80999996e-06,0.0881000012,0.725000024,172.074997
-0.568000019,0.68599999,-6.63500023,0.0329999998,0.150000006,1.80999996e-06,0.0881000012,0.725000024,172.074997
-0.568000019,0.68599999,-6.63500023,0.0329999998,0.150000006,1.80999996e-06,0.0881000012,0.725000024,172.074997
-0.568000019,0.68599999,-6.63500023,0.0329999998,0.150000006,1.80999996e-06,0.0881000012,0.725000024,172.074997
-0.568000019,0.68599999,-6.63500023,0.0329999998,0.150000006,1.80999996e-06,0.0881000012,0.725000024,172.074997
-0.596000016,0.200000003,-10.4239998,0.0305000003,0.910000026,0.000182999996,0.0883999988,0.307999998,107.892998
-0.372999996,0.913999975,-4.18499994,0.056499999,0.0759999976,0,0.66900003,0.560000002,168.210007
-0.493999988,0.65200001,-5.86299992,0.0313999988,0.0754000023,0.00255999994,0.125,0.298000008,137.018005
-0.446999997,0.393000007,-8.64999962,0.0379999988,0.785000026,0,0.280000001,0.56400001,73.1389999
-0.575999975,0.331,-9.38899994,0.0306000002,0.893999994,3.44e-05,0.128999993,0.407000005,149.020004
-0.536000013,0.889999986,-5.22200012,0.0375000015,0.0780000016,0.0201999992,0.130999997,0.273000002,121.973999
-0.526000023,0.333000004,-13.0200005,0.0313999988,0.910000026,0.167999998,0.111000001,0.158999994,94.9509964
-0.500999987,0.381000012,-9.44799995,0.0359999985,0.686999977,0.00133,0.119000003,0.501999974,80.0749969
-0.270000011,0.275000006,-10.3570004,0.0355999991,0.833999991,0,0.145999998,0.231000006,168.964005
-0.731000006,0.507000029,-6.47700024,0.0460000001,0.572000027,0,0.0912000015,0.264999986,117.969002
-0.375,0.456999987,-7.01800013,0.0315000005,0.867999971,0.0144999996,0.191,0.414999992,174.839005
-0.430000007,0.791000009,-5.41900015,0.0302000009,0.0725999996,0.0193000007,0.109999999,0.216999993,171.863998
-0.615999997,0.282000005,-15.3170004,0.0331000015,0.98299998,0.833000004,0.129999995,0.435000002,96.6380005
-0.704999983,0.347000003,-8.2489996,0.0300999992,0.674000025,0,0.119999997,0.360000014,80.0569992
-0.582000017,0.254999995,-10.2539997,0.0306000002,0.772000015,0,0.0888999999,0.284999996,139.884003
-0.549000025,0.273999989,-12.5649996,0.0379000008,0.797999978,6.62999992e-06,0.103,0.207000002,86.6640015
-0.787,0.354999989,-11.4289999,0.0287999995,0.896000028,0.0200999994,0.111000001,0.479999989,99.9779968
-0.397000015,0.303000003,-7.5079999,0.0434999987,0.381000012,0,0.101000004,0.172000006,81.0500031
-0.547999978,0.419999987,-7.84200001,0.0276999995,0.197999999,4.46000013e-06,0.0899000019,0.195999995,128.011993
-0.787,0.402999997,-11.9890003,0.0329999998,0.602999985,0.0085699996,0.130999997,0.263999999,118.042
-0.483999997,0.573000014,-6.18300009,0.0297999997,0.0882000029,1.13999999e-06,0.150000006,0.345999986,139.966003
-0.381999999,0.416000009,-9.30300045,0.0302000009,0.0732999966,0,0.0719000027,0.125,102.088997
-0.541000009,0.574999988,-9.4630003,0.0491000004,0.676999986,0.215000004,0.101999998,0.428000003,91.9800034
-0.606999993,0.47299999,-8.55500031,0.0340000018,0.712000012,0,0.660000026,0.540000021,119.697998
-0.416999996,0.595000029,-7.84000015,0.0395999998,0.158000007,0.000269000011,0.101000004,0.116999999,147.927994
-0.572000027,0.453999996,-10.2860003,0.0258000009,0.476999998,1.36999997e-05,0.0974000022,0.514999986,140.182007
-0.708999991,0.912999988,-5.14799976,0.0747999996,0.0182000007,0,0.166999996,0.518999994,108.024002
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-0.546000004,0.391000003,-10.7860003,0.063000001,0.783999979,2.72000011e-06,0.0551999994,0.202000007,139.669006
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-0.492000014,0.144999996,-14.5039997,0.0421999991,0.871999979,9.6800004e-06,0.107000001,0.217999995,90.0780029
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diff --git a/parquet-column/src/test/resources/alp_spotify1_expect.csv b/parquet-column/src/test/resources/alp_spotify1_expect.csv
deleted file mode 100644
index 8c4e0f37bb..0000000000
--- a/parquet-column/src/test/resources/alp_spotify1_expect.csv
+++ /dev/null
@@ -1,15001 +0,0 @@
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From 5c3d7fa1eccf6b1d0f2046499cd0504d9f1e4567 Mon Sep 17 00:00:00 2001
From: Prateek Gaur <prateek.gaur@snowflake.com>
Date: Mon, 9 Mar 2026 21:39:34 +0000
Subject: [PATCH 23/24] ALP: Gzip compress CSV test data and regenerate float
 parquet files

Compress the 4 expect CSV files with gzip (5.3 MB -> 1.4 MB) and update
all readers (TestInteropAlpEncoding, GenerateAlpParquet, AlpCodecThroughput)
to decompress via GZIPInputStream. Also regenerate the C++ and Java float
parquet test files which had stale/invalid page headers, and remove the
Hadoop CRC files that were causing checksum errors.
---
 .../alp/benchmark/AlpCodecThroughput.java     |     9 +-
 .../parquet/hadoop/GenerateAlpParquet.java    |    17 +-
 .../hadoop/TestInteropAlpEncoding.java        |    27 +-
 .../resources/.alp_java_arade.parquet.crc     |   Bin 1420 -> 0 bytes
 .../.alp_java_float_arade.parquet.crc         |   Bin 2136 -> 0 bytes
 .../.alp_java_float_spotify1.parquet.crc      |   Bin 2644 -> 0 bytes
 .../resources/.alp_java_spotify1.parquet.crc  |   Bin 2440 -> 0 bytes
 .../src/test/resources/alp_arade_expect.csv   | 15001 ----------------
 .../test/resources/alp_arade_expect.csv.gz    |   Bin 0 -> 299848 bytes
 .../test/resources/alp_float_arade_expect.csv | 15001 ----------------
 .../resources/alp_float_arade_expect.csv.gz   |   Bin 0 -> 284194 bytes
 .../resources/alp_float_spotify1_expect.csv   | 15001 ----------------
 .../alp_float_spotify1_expect.csv.gz          |   Bin 0 -> 434791 bytes
 .../test/resources/alp_spotify1_expect.csv    | 15001 ----------------
 .../test/resources/alp_spotify1_expect.csv.gz |   Bin 0 -> 437162 bytes
 15 files changed, 30 insertions(+), 60027 deletions(-)
 delete mode 100644 parquet-hadoop/src/test/resources/.alp_java_arade.parquet.crc
 delete mode 100644 parquet-hadoop/src/test/resources/.alp_java_float_arade.parquet.crc
 delete mode 100644 parquet-hadoop/src/test/resources/.alp_java_float_spotify1.parquet.crc
 delete mode 100644 parquet-hadoop/src/test/resources/.alp_java_spotify1.parquet.crc
 delete mode 100644 parquet-hadoop/src/test/resources/alp_arade_expect.csv
 create mode 100644 parquet-hadoop/src/test/resources/alp_arade_expect.csv.gz
 delete mode 100644 parquet-hadoop/src/test/resources/alp_float_arade_expect.csv
 create mode 100644 parquet-hadoop/src/test/resources/alp_float_arade_expect.csv.gz
 delete mode 100644 parquet-hadoop/src/test/resources/alp_float_spotify1_expect.csv
 create mode 100644 parquet-hadoop/src/test/resources/alp_float_spotify1_expect.csv.gz
 delete mode 100644 parquet-hadoop/src/test/resources/alp_spotify1_expect.csv
 create mode 100644 parquet-hadoop/src/test/resources/alp_spotify1_expect.csv.gz

diff --git a/parquet-column/src/test/java/org/apache/parquet/column/values/alp/benchmark/AlpCodecThroughput.java b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/benchmark/AlpCodecThroughput.java
index 6da59c2b11..a64051a6c1 100644
--- a/parquet-column/src/test/java/org/apache/parquet/column/values/alp/benchmark/AlpCodecThroughput.java
+++ b/parquet-column/src/test/java/org/apache/parquet/column/values/alp/benchmark/AlpCodecThroughput.java
@@ -23,6 +23,7 @@
 import java.io.IOException;
 import java.io.InputStream;
 import java.io.InputStreamReader;
+import java.util.zip.GZIPInputStream;
 import java.nio.ByteBuffer;
 import java.nio.file.Files;
 import java.nio.file.Path;
@@ -53,8 +54,8 @@ public class AlpCodecThroughput {
   private static final int MEASURED = 30;
 
   private static final String CSV_DIR = "parquet-hadoop/src/test/resources";
-  private static final String DOUBLE_CSV = "alp_spotify1_expect.csv";
-  private static final String FLOAT_CSV = "alp_float_spotify1_expect.csv";
+  private static final String DOUBLE_CSV = "alp_spotify1_expect.csv.gz";
+  private static final String FLOAT_CSV = "alp_float_spotify1_expect.csv.gz";
 
   // Spotify column names matching C++ benchmark
   private static final String[] COLUMNS = {
@@ -140,7 +141,7 @@ private static Path findCsvDir() throws IOException {
   }
 
   private static double[][] loadDoubleCsv(Path csvPath) throws IOException {
-    try (InputStream is = new FileInputStream(csvPath.toFile())) {
+    try (InputStream is = new GZIPInputStream(new FileInputStream(csvPath.toFile()))) {
       BufferedReader br = new BufferedReader(new InputStreamReader(is));
       String header = br.readLine();
       int numCols = header.split(",").length;
@@ -168,7 +169,7 @@ private static double[][] loadDoubleCsv(Path csvPath) throws IOException {
   }
 
   private static float[][] loadFloatCsv(Path csvPath) throws IOException {
-    try (InputStream is = new FileInputStream(csvPath.toFile())) {
+    try (InputStream is = new GZIPInputStream(new FileInputStream(csvPath.toFile()))) {
       BufferedReader br = new BufferedReader(new InputStreamReader(is));
       String header = br.readLine();
       int numCols = header.split(",").length;
diff --git a/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/GenerateAlpParquet.java b/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/GenerateAlpParquet.java
index c115e9eb00..dfcaeb374b 100644
--- a/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/GenerateAlpParquet.java
+++ b/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/GenerateAlpParquet.java
@@ -23,6 +23,7 @@
 import java.io.InputStream;
 import java.io.InputStreamReader;
 import java.nio.charset.StandardCharsets;
+import java.util.zip.GZIPInputStream;
 import java.nio.file.Files;
 import java.nio.file.Paths;
 import java.util.ArrayList;
@@ -38,7 +39,7 @@
 /**
  * Standalone utility to generate ALP-encoded parquet files from CSV test data.
  *
- * <p>Reads the existing expect CSV files (alp_spotify1_expect.csv, alp_arade_expect.csv)
+ * <p>Reads the existing expect CSV files (alp_spotify1_expect.csv.gz, alp_arade_expect.csv.gz)
  * from test resources and writes ALP-encoded parquet files using the Java ALP encoder.
  *
  * <p>Usage: java GenerateAlpParquet [output_directory]
@@ -50,18 +51,18 @@ public static void main(String[] args) throws IOException {
     String outputDir = args.length > 0 ? args[0] : ".";
     Files.createDirectories(Paths.get(outputDir));
 
-    generateAlpParquet("/alp_arade_expect.csv", outputDir + "/alp_java_arade.parquet");
+    generateAlpParquet("/alp_arade_expect.csv.gz", outputDir + "/alp_java_arade.parquet");
     System.out.println("Generated: " + outputDir + "/alp_java_arade.parquet");
 
-    generateAlpParquet("/alp_spotify1_expect.csv", outputDir + "/alp_java_spotify1.parquet");
+    generateAlpParquet("/alp_spotify1_expect.csv.gz", outputDir + "/alp_java_spotify1.parquet");
     System.out.println("Generated: " + outputDir + "/alp_java_spotify1.parquet");
 
     generateAlpParquetFloat(
-        "/alp_float_arade_expect.csv", outputDir + "/alp_java_float_arade.parquet");
+        "/alp_float_arade_expect.csv.gz", outputDir + "/alp_java_float_arade.parquet");
     System.out.println("Generated: " + outputDir + "/alp_java_float_arade.parquet");
 
     generateAlpParquetFloat(
-        "/alp_float_spotify1_expect.csv", outputDir + "/alp_java_float_spotify1.parquet");
+        "/alp_float_spotify1_expect.csv.gz", outputDir + "/alp_java_float_spotify1.parquet");
     System.out.println("Generated: " + outputDir + "/alp_java_float_spotify1.parquet");
   }
 
@@ -70,7 +71,8 @@ private static void generateAlpParquet(String csvResource, String outputPath) th
     String[] columnNames;
     List<double[]> rows = new ArrayList<>();
 
-    try (InputStream is = GenerateAlpParquet.class.getResourceAsStream(csvResource);
+    try (InputStream raw = GenerateAlpParquet.class.getResourceAsStream(csvResource);
+        InputStream is = new GZIPInputStream(raw);
         BufferedReader br = new BufferedReader(new InputStreamReader(is, StandardCharsets.UTF_8))) {
       // Parse header
       String header = br.readLine();
@@ -126,7 +128,8 @@ private static void generateAlpParquetFloat(String csvResource, String outputPat
     String[] columnNames;
     List<float[]> rows = new ArrayList<>();
 
-    try (InputStream is = GenerateAlpParquet.class.getResourceAsStream(csvResource);
+    try (InputStream raw = GenerateAlpParquet.class.getResourceAsStream(csvResource);
+        InputStream is = new GZIPInputStream(raw);
         BufferedReader br = new BufferedReader(new InputStreamReader(is, StandardCharsets.UTF_8))) {
       // Parse header
       String header = br.readLine();
diff --git a/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/TestInteropAlpEncoding.java b/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/TestInteropAlpEncoding.java
index 25bb4a10b2..7a7dfbb7ec 100644
--- a/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/TestInteropAlpEncoding.java
+++ b/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/TestInteropAlpEncoding.java
@@ -25,6 +25,7 @@
 import java.io.IOException;
 import java.io.InputStream;
 import java.io.InputStreamReader;
+import java.util.zip.GZIPInputStream;
 import java.net.URISyntaxException;
 import java.nio.charset.StandardCharsets;
 import java.util.ArrayList;
@@ -66,7 +67,7 @@ public void testReadAlpAradeParquet() throws IOException {
     int expectedRows = 15000;
 
     // Read expected values from CSV
-    double[][] expected = readExpectedCsv("/alp_arade_expect.csv", columnNames.length, expectedRows);
+    double[][] expected = readExpectedCsv("/alp_arade_expect.csv.gz", columnNames.length, expectedRows);
 
     // Read parquet file using GroupReadSupport
     List<Group> rows = readParquetGroups(parquetPath);
@@ -109,7 +110,7 @@ public void testReadAlpSpotify1Parquet() throws IOException {
     int expectedRows = 15000;
 
     // Read expected values from CSV
-    double[][] expected = readExpectedCsv("/alp_spotify1_expect.csv", columnNames.length, expectedRows);
+    double[][] expected = readExpectedCsv("/alp_spotify1_expect.csv.gz", columnNames.length, expectedRows);
 
     // Read parquet file using GroupReadSupport
     List<Group> rows = readParquetGroups(parquetPath);
@@ -141,7 +142,7 @@ public void testReadAlpJavaAradeParquet() throws IOException {
     String[] columnNames = {"value1", "value2", "value3", "value4"};
     int expectedRows = 15000;
 
-    double[][] expected = readExpectedCsv("/alp_arade_expect.csv", columnNames.length, expectedRows);
+    double[][] expected = readExpectedCsv("/alp_arade_expect.csv.gz", columnNames.length, expectedRows);
 
     List<Group> rows = readParquetGroups(parquetPath);
     assertEquals("Row count should match", expectedRows, rows.size());
@@ -180,7 +181,7 @@ public void testReadAlpJavaSpotify1Parquet() throws IOException {
     };
     int expectedRows = 15000;
 
-    double[][] expected = readExpectedCsv("/alp_spotify1_expect.csv", columnNames.length, expectedRows);
+    double[][] expected = readExpectedCsv("/alp_spotify1_expect.csv.gz", columnNames.length, expectedRows);
 
     List<Group> rows = readParquetGroups(parquetPath);
     assertEquals("Row count should match", expectedRows, rows.size());
@@ -209,7 +210,7 @@ public void testReadAlpFloatAradeParquet() throws IOException {
     String[] columnNames = {"value1", "value2", "value3", "value4"};
     int expectedRows = 15000;
 
-    float[][] expected = readExpectedCsvFloat("/alp_float_arade_expect.csv", columnNames.length, expectedRows);
+    float[][] expected = readExpectedCsvFloat("/alp_float_arade_expect.csv.gz", columnNames.length, expectedRows);
 
     List<Group> rows = readParquetGroups(parquetPath);
     assertEquals("Row count should match", expectedRows, rows.size());
@@ -248,7 +249,7 @@ public void testReadAlpFloatSpotify1Parquet() throws IOException {
     };
     int expectedRows = 15000;
 
-    float[][] expected = readExpectedCsvFloat("/alp_float_spotify1_expect.csv", columnNames.length, expectedRows);
+    float[][] expected = readExpectedCsvFloat("/alp_float_spotify1_expect.csv.gz", columnNames.length, expectedRows);
 
     List<Group> rows = readParquetGroups(parquetPath);
     assertEquals("Row count should match", expectedRows, rows.size());
@@ -277,7 +278,7 @@ public void testReadAlpJavaFloatAradeParquet() throws IOException {
     String[] columnNames = {"value1", "value2", "value3", "value4"};
     int expectedRows = 15000;
 
-    float[][] expected = readExpectedCsvFloat("/alp_float_arade_expect.csv", columnNames.length, expectedRows);
+    float[][] expected = readExpectedCsvFloat("/alp_float_arade_expect.csv.gz", columnNames.length, expectedRows);
 
     List<Group> rows = readParquetGroups(parquetPath);
     assertEquals("Row count should match", expectedRows, rows.size());
@@ -316,7 +317,7 @@ public void testReadAlpJavaFloatSpotify1Parquet() throws IOException {
     };
     int expectedRows = 15000;
 
-    float[][] expected = readExpectedCsvFloat("/alp_float_spotify1_expect.csv", columnNames.length, expectedRows);
+    float[][] expected = readExpectedCsvFloat("/alp_float_spotify1_expect.csv.gz", columnNames.length, expectedRows);
 
     List<Group> rows = readParquetGroups(parquetPath);
     assertEquals("Row count should match", expectedRows, rows.size());
@@ -368,9 +369,10 @@ private void verifyAlpEncoding(Path path) throws IOException {
    */
   private double[][] readExpectedCsv(String resourcePath, int numColumns, int expectedRows) throws IOException {
     double[][] columns = new double[numColumns][expectedRows];
-    try (InputStream is = getClass().getResourceAsStream(resourcePath);
+    try (InputStream raw = getClass().getResourceAsStream(resourcePath);
+        InputStream is = new GZIPInputStream(raw);
         BufferedReader br = new BufferedReader(new InputStreamReader(is, StandardCharsets.UTF_8))) {
-      assertNotNull("CSV resource not found: " + resourcePath, is);
+      assertNotNull("CSV resource not found: " + resourcePath, raw);
 
       // Skip header
       String header = br.readLine();
@@ -397,9 +399,10 @@ private double[][] readExpectedCsv(String resourcePath, int numColumns, int expe
    */
   private float[][] readExpectedCsvFloat(String resourcePath, int numColumns, int expectedRows) throws IOException {
     float[][] columns = new float[numColumns][expectedRows];
-    try (InputStream is = getClass().getResourceAsStream(resourcePath);
+    try (InputStream raw = getClass().getResourceAsStream(resourcePath);
+        InputStream is = new GZIPInputStream(raw);
         BufferedReader br = new BufferedReader(new InputStreamReader(is, StandardCharsets.UTF_8))) {
-      assertNotNull("CSV resource not found: " + resourcePath, is);
+      assertNotNull("CSV resource not found: " + resourcePath, raw);
 
       // Skip header
       String header = br.readLine();
diff --git a/parquet-hadoop/src/test/resources/.alp_java_arade.parquet.crc b/parquet-hadoop/src/test/resources/.alp_java_arade.parquet.crc
deleted file mode 100644
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GIT binary patch
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diff --git a/parquet-hadoop/src/test/resources/.alp_java_float_arade.parquet.crc b/parquet-hadoop/src/test/resources/.alp_java_float_arade.parquet.crc
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GIT binary patch
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diff --git a/parquet-hadoop/src/test/resources/.alp_java_float_spotify1.parquet.crc b/parquet-hadoop/src/test/resources/.alp_java_float_spotify1.parquet.crc
deleted file mode 100644
index 2ba3f51232c45fbeab6cd83482ff6e9847c516eb..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

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diff --git a/parquet-hadoop/src/test/resources/.alp_java_spotify1.parquet.crc b/parquet-hadoop/src/test/resources/.alp_java_spotify1.parquet.crc
deleted file mode 100644
index 2a4d158c05e0ed60ecd03863121e6b7a83b80258..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

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diff --git a/parquet-hadoop/src/test/resources/alp_arade_expect.csv b/parquet-hadoop/src/test/resources/alp_arade_expect.csv
deleted file mode 100644
index 515fe54330..0000000000
--- a/parquet-hadoop/src/test/resources/alp_arade_expect.csv
+++ /dev/null
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diff --git a/parquet-hadoop/src/test/resources/alp_arade_expect.csv.gz b/parquet-hadoop/src/test/resources/alp_arade_expect.csv.gz
new file mode 100644
index 0000000000000000000000000000000000000000..e7cc6def5e4d339d28d9907c9a3d08afafaec5ce
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diff --git a/parquet-hadoop/src/test/resources/alp_float_arade_expect.csv b/parquet-hadoop/src/test/resources/alp_float_arade_expect.csv
deleted file mode 100644
index 5c88c4c66d..0000000000
--- a/parquet-hadoop/src/test/resources/alp_float_arade_expect.csv
+++ /dev/null
@@ -1,15001 +0,0 @@
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diff --git a/parquet-hadoop/src/test/resources/alp_float_arade_expect.csv.gz b/parquet-hadoop/src/test/resources/alp_float_arade_expect.csv.gz
new file mode 100644
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diff --git a/parquet-hadoop/src/test/resources/alp_float_spotify1_expect.csv b/parquet-hadoop/src/test/resources/alp_float_spotify1_expect.csv
deleted file mode 100644
index 3259c95835..0000000000
--- a/parquet-hadoop/src/test/resources/alp_float_spotify1_expect.csv
+++ /dev/null
@@ -1,15001 +0,0 @@
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diff --git a/parquet-hadoop/src/test/resources/alp_float_spotify1_expect.csv.gz b/parquet-hadoop/src/test/resources/alp_float_spotify1_expect.csv.gz
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diff --git a/parquet-hadoop/src/test/resources/alp_spotify1_expect.csv b/parquet-hadoop/src/test/resources/alp_spotify1_expect.csv
deleted file mode 100644
index 8c4e0f37bb..0000000000
--- a/parquet-hadoop/src/test/resources/alp_spotify1_expect.csv
+++ /dev/null
@@ -1,15001 +0,0 @@
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diff --git a/parquet-hadoop/src/test/resources/alp_spotify1_expect.csv.gz b/parquet-hadoop/src/test/resources/alp_spotify1_expect.csv.gz
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HcmV?d00001


From 48d5e7325a03f5056fee7892345be64544c7cb0d Mon Sep 17 00:00:00 2001
From: Prateek Gaur <prateek.gaur@snowflake.com>
Date: Tue, 10 Mar 2026 00:46:50 +0000
Subject: [PATCH 24/24] ALP: Use real Spotify dataset in encoding comparison
 benchmark

Replace synthetic random data with real Spotify audio features
columns (15K rows from alp_spotify1_expect.csv.gz, tiled 6x to
90K values with integer offset per copy for stable throughput
measurement without giving ZSTD unfair cross-copy repetition).
---
 .../hadoop/EncodingCompressionBenchmark.java  | 194 ++++++++++++------
 1 file changed, 136 insertions(+), 58 deletions(-)

diff --git a/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/EncodingCompressionBenchmark.java b/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/EncodingCompressionBenchmark.java
index 66f3eeb42b..27d053acaa 100644
--- a/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/EncodingCompressionBenchmark.java
+++ b/parquet-hadoop/src/test/java/org/apache/parquet/hadoop/EncodingCompressionBenchmark.java
@@ -19,10 +19,19 @@
 package org.apache.parquet.hadoop;
 
 import com.github.luben.zstd.Zstd;
+import java.io.BufferedReader;
+import java.io.FileInputStream;
 import java.io.IOException;
+import java.io.InputStream;
+import java.io.InputStreamReader;
 import java.nio.ByteBuffer;
 import java.nio.ByteOrder;
-import java.util.Random;
+import java.nio.file.Files;
+import java.nio.file.Path;
+import java.nio.file.Paths;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.zip.GZIPInputStream;
 import org.apache.parquet.bytes.ByteBufferInputStream;
 import org.apache.parquet.bytes.HeapByteBufferAllocator;
 import org.apache.parquet.column.values.alp.AlpValuesReaderForDouble;
@@ -42,92 +51,69 @@
  */
 public class EncodingCompressionBenchmark {
 
-  private static final int NUM_VALUES = 1_000_000;
+  private static final int TILE_FACTOR = 6; // 15K * 6 = 90K values
   private static final int WARMUP = 10;
   private static final int MEASURED = 30;
 
-  // Datasets
-  private static double[] doubleDecimal;
-  private static double[] doubleInteger;
-  private static double[] doubleMixed;
-  private static float[] floatDecimal;
-  private static float[] floatInteger;
-  private static float[] floatMixed;
+  private static final String CSV_DIR = "parquet-hadoop/src/test/resources";
+  private static final String DOUBLE_CSV = "alp_spotify1_expect.csv.gz";
+  private static final String FLOAT_CSV = "alp_float_spotify1_expect.csv.gz";
 
-  @BeforeClass
-  public static void setup() {
-    Random rng = new Random(42);
-
-    doubleDecimal = new double[NUM_VALUES];
-    for (int i = 0; i < NUM_VALUES; i++) {
-      doubleDecimal[i] = Math.round(rng.nextDouble() * 10000) / 100.0;
-    }
+  private static final String[] COLUMNS = {
+    "valence", "danceability", "energy", "loudness", "speechiness",
+    "acousticness", "instrumentalness", "liveness", "tempo"
+  };
 
-    doubleInteger = new double[NUM_VALUES];
-    for (int i = 0; i < NUM_VALUES; i++) {
-      doubleInteger[i] = (double) rng.nextInt(100000);
-    }
+  private static double[][] doubleColumns;
+  private static float[][] floatColumns;
 
-    doubleMixed = new double[NUM_VALUES];
-    for (int i = 0; i < NUM_VALUES; i++) {
-      doubleMixed[i] = Math.round(rng.nextDouble() * 10000) / 100.0;
-    }
-    for (int i = 0; i < NUM_VALUES; i += 50) {
-      doubleMixed[i] = Double.NaN;
-    }
-
-    floatDecimal = new float[NUM_VALUES];
-    for (int i = 0; i < NUM_VALUES; i++) {
-      floatDecimal[i] = Math.round(rng.nextFloat() * 10000) / 100.0f;
-    }
+  @BeforeClass
+  public static void setup() throws IOException {
+    Path csvDir = findCsvDir();
 
-    floatInteger = new float[NUM_VALUES];
-    for (int i = 0; i < NUM_VALUES; i++) {
-      floatInteger[i] = (float) rng.nextInt(100000);
+    double[][] rawDoubles = loadDoubleCsv(csvDir.resolve(DOUBLE_CSV));
+    doubleColumns = new double[rawDoubles.length][];
+    for (int c = 0; c < rawDoubles.length; c++) {
+      doubleColumns[c] = tile(rawDoubles[c], rawDoubles[c].length * TILE_FACTOR);
     }
 
-    floatMixed = new float[NUM_VALUES];
-    for (int i = 0; i < NUM_VALUES; i++) {
-      floatMixed[i] = Math.round(rng.nextFloat() * 10000) / 100.0f;
-    }
-    for (int i = 0; i < NUM_VALUES; i += 50) {
-      floatMixed[i] = Float.NaN;
+    float[][] rawFloats = loadFloatCsv(csvDir.resolve(FLOAT_CSV));
+    floatColumns = new float[rawFloats.length][];
+    for (int c = 0; c < rawFloats.length; c++) {
+      floatColumns[c] = tile(rawFloats[c], rawFloats[c].length * TILE_FACTOR);
     }
   }
 
   @Test
   public void measureThroughput() throws IOException {
     System.out.println();
-    System.out.println("=== Encoding/Compression Benchmark (1M values, " + MEASURED + " iters) ===");
+    System.out.printf("=== Encoding/Compression Benchmark (%d values per column, Spotify dataset, %d iters) ===%n",
+        doubleColumns[0].length, MEASURED);
     System.out.println();
 
     String hdr = String.format(
-        "%-35s %10s %10s %10s %10s %8s", "Dataset / Encoding", "Enc MB/s", "Dec MB/s", "Raw KB", "Comp KB", "Ratio");
+        "%-35s %10s %10s %10s %10s %8s", "Column / Encoding", "Enc MB/s", "Dec MB/s", "Raw KB", "Comp KB", "Ratio");
     String sep = "-".repeat(hdr.length());
 
-    // --- Double datasets ---
+    // --- Double columns ---
     System.out.println("=== DOUBLE (8 bytes/value) ===");
     System.out.println(hdr);
     System.out.println(sep);
 
-    benchAllDouble("double_decimal", doubleDecimal);
-    System.out.println();
-    benchAllDouble("double_integer", doubleInteger);
-    System.out.println();
-    benchAllDouble("double_mixed(2%exc)", doubleMixed);
-    System.out.println();
+    for (int c = 0; c < doubleColumns.length; c++) {
+      benchAllDouble(COLUMNS[c], doubleColumns[c]);
+      System.out.println();
+    }
 
-    // --- Float datasets ---
+    // --- Float columns ---
     System.out.println("=== FLOAT (4 bytes/value) ===");
     System.out.println(hdr);
     System.out.println(sep);
 
-    benchAllFloat("float_decimal", floatDecimal);
-    System.out.println();
-    benchAllFloat("float_integer", floatInteger);
-    System.out.println();
-    benchAllFloat("float_mixed(2%exc)", floatMixed);
-    System.out.println();
+    for (int c = 0; c < floatColumns.length; c++) {
+      benchAllFloat(COLUMNS[c], floatColumns[c]);
+      System.out.println();
+    }
   }
 
   // ---- Double benchmarks ----
@@ -390,4 +376,96 @@ private static void bssDecodeFloatsFromRaw(byte[] encoded, int numValues) throws
       reader.readFloat();
     }
   }
+
+  // ---- CSV loading and tiling ----
+
+  private static Path findCsvDir() throws IOException {
+    Path dir = Paths.get("").toAbsolutePath();
+    for (int i = 0; i < 3; i++) {
+      Path candidate = dir.resolve(CSV_DIR);
+      if (Files.isDirectory(candidate) && Files.exists(candidate.resolve(DOUBLE_CSV))) {
+        return candidate;
+      }
+      dir = dir.getParent();
+      if (dir == null) break;
+    }
+    throw new IOException("Cannot find CSV directory '" + CSV_DIR
+        + "'. Run from the parquet-java project root.");
+  }
+
+  private static double[][] loadDoubleCsv(Path csvPath) throws IOException {
+    try (InputStream is = new GZIPInputStream(new FileInputStream(csvPath.toFile()))) {
+      BufferedReader br = new BufferedReader(new InputStreamReader(is));
+      String header = br.readLine();
+      int numCols = header.split(",").length;
+
+      List<double[]> rows = new ArrayList<>();
+      String line;
+      while ((line = br.readLine()) != null) {
+        String[] parts = line.split(",");
+        double[] row = new double[numCols];
+        for (int i = 0; i < numCols; i++) {
+          row[i] = Double.parseDouble(parts[i]);
+        }
+        rows.add(row);
+      }
+
+      double[][] columns = new double[numCols][rows.size()];
+      for (int r = 0; r < rows.size(); r++) {
+        double[] row = rows.get(r);
+        for (int c = 0; c < numCols; c++) {
+          columns[c][r] = row[c];
+        }
+      }
+      return columns;
+    }
+  }
+
+  private static float[][] loadFloatCsv(Path csvPath) throws IOException {
+    try (InputStream is = new GZIPInputStream(new FileInputStream(csvPath.toFile()))) {
+      BufferedReader br = new BufferedReader(new InputStreamReader(is));
+      String header = br.readLine();
+      int numCols = header.split(",").length;
+
+      List<float[]> rows = new ArrayList<>();
+      String line;
+      while ((line = br.readLine()) != null) {
+        String[] parts = line.split(",");
+        float[] row = new float[numCols];
+        for (int i = 0; i < numCols; i++) {
+          row[i] = Float.parseFloat(parts[i]);
+        }
+        rows.add(row);
+      }
+
+      float[][] columns = new float[numCols][rows.size()];
+      for (int r = 0; r < rows.size(); r++) {
+        float[] row = rows.get(r);
+        for (int c = 0; c < numCols; c++) {
+          columns[c][r] = row[c];
+        }
+      }
+      return columns;
+    }
+  }
+
+  private static double[] tile(double[] source, int targetSize) {
+    double[] result = new double[targetSize];
+    int len = source.length;
+    for (int i = 0; i < targetSize; i++) {
+      int copyIdx = i / len; // 0 for first copy, 1 for second, etc.
+      result[i] = source[i % len] + copyIdx;
+    }
+    return result;
+  }
+
+  private static float[] tile(float[] source, int targetSize) {
+    float[] result = new float[targetSize];
+    int len = source.length;
+    for (int i = 0; i < targetSize; i++) {
+      int copyIdx = i / len;
+      result[i] = source[i % len] + copyIdx;
+    }
+    return result;
+  }
 }