feat: Add str.join method

bigframes/core/compile/ibis_compiler/aggregate_compiler.py

@@ -676,6 +676,29 @@ def _(
     ).to_expr()
 
 
+@compile_ordered_unary_agg.register
+def _(
+    op: agg_ops.StringAggOp,
+    column: ibis_types.Column,
+    window=None,
+    order_by: typing.Sequence[ibis_types.Value] = [],
+) -> ibis_types.ArrayValue:
+    if window is not None:
+        raise NotImplementedError(
+            f"StringAgg with windowing is not supported. {constants.FEEDBACK_LINK}"
+        )
+
+    return (
+        ibis_ops.StringAgg(
+            column,  # type: ignore
+            sep=op.sep,  # type: ignore
+            order_by=order_by,  # type: ignore
+        )
+        .to_expr()
+        .fill_null(ibis_types.literal(""))
+    )
+
+
 @compile_binary_agg.register
 def _(
     op: agg_ops.CorrOp, left: ibis_types.Column, right: ibis_types.Column, window=None

bigframes/core/compile/ibis_compiler/scalar_op_registry.py

@@ -1220,6 +1220,10 @@ def array_reduce_op_impl(x: ibis_types.Value, op: ops.ArrayReduceOp):
         lambda arr_vals: agg_compilers.compile_unary_agg(
             op.aggregation, typing.cast(ibis_types.Column, arr_vals)
         )
+        if op.aggregation.order_independent
+        else agg_compilers.compile_ordered_unary_agg(
+            op.aggregation, typing.cast(ibis_types.Column, arr_vals)
+        )
     )
 
 

bigframes/operations/aggregations.py

@@ -379,9 +379,26 @@ def skips_nulls(self):
         return True
 
     def output_type(self, *input_types: dtypes.ExpressionType) -> dtypes.ExpressionType:
-        return pd.ArrowDtype(
-            pa.list_(dtypes.bigframes_dtype_to_arrow_dtype(input_types[0]))
-        )
+        return dtypes.list_type(input_types[0])
+
+
+@dataclasses.dataclass(frozen=True)
+class StringAggOp(UnaryAggregateOp):
+    name: ClassVar[str] = "string_agg"
+    sep: str = ","
+
+    @property
+    def order_independent(self):
+        return False
+
+    @property
+    def skips_nulls(self):
+        return True
+
+    def output_type(self, *input_types: dtypes.ExpressionType) -> dtypes.ExpressionType:
+        if input_types[0] != dtypes.STRING_DTYPE:
+            raise TypeError(f"Type {input_types[0]} is not string-like")
+        return dtypes.STRING_DTYPE
 
 
 @dataclasses.dataclass(frozen=True)

bigframes/operations/strings.py

@@ -24,6 +24,7 @@
 import bigframes.dataframe as df
 import bigframes.operations as ops
 from bigframes.operations._op_converters import convert_index, convert_slice
+import bigframes.operations.aggregations as agg_ops
 import bigframes.operations.base
 import bigframes.series as series
 
@@ -295,6 +296,11 @@ def cat(
     ) -> series.Series:
         return self._apply_binary_op(others, ops.strconcat_op, alignment=join)
 
+    def join(self, sep: str) -> series.Series:
+        return self._apply_unary_op(
+            ops.ArrayReduceOp(aggregation=agg_ops.StringAggOp(sep=sep))
+        )
+
     def to_blob(self, connection: Optional[str] = None) -> series.Series:
         """Create a BigFrames Blob series from a series of URIs.
 

tests/system/small/operations/test_strings.py

@@ -736,3 +736,14 @@ def test_getitem_w_struct_array():
     expected = bpd.Series(expected_data, dtype=bpd.ArrowDtype((pa_struct)))
 
     assert_series_equal(result.to_pandas(), expected.to_pandas())
+
+
+def test_string_join(session):
+    pd_series = pd.Series([["a", "b", "c"], ["100"], ["hello", "world"], []])
+    bf_series = session.read_pandas(pd_series)
+
+    pd_result = pd_series.str.join("--")
+    bf_result = bf_series.str.join("--").to_pandas()
+
+    pd_result = pd_result.astype("string[pyarrow]")
+    assert_series_equal(pd_result, bf_result, check_dtype=False, check_index_type=False)

third_party/bigframes_vendored/ibis/backends/sql/compilers/bigquery/__init__.py

@@ -1088,6 +1088,22 @@ def visit_ArrayAggregate(self, op, *, arg, order_by, where):
             expr = arg
         return sge.IgnoreNulls(this=self.agg.array_agg(expr, where=where))
 
+    def visit_StringAgg(self, op, *, arg, sep, order_by, where):
+        if len(order_by) > 0:
+            expr = sge.Order(
+                this=arg,
+                expressions=[
+                    # Avoid adding NULLS FIRST / NULLS LAST in SQL, which is
+                    # unsupported in ARRAY_AGG by reconstructing the node as
+                    # plain SQL text.
+                    f"({order_column.args['this'].sql(dialect='bigquery')}) {'DESC' if order_column.args.get('desc') else 'ASC'}"
+                    for order_column in order_by
+                ],
+            )
+        else:
+            expr = arg
+        return self.agg.string_agg(expr, sep, where=where)
+
     def visit_FirstNonNullValue(self, op, *, arg):
         return sge.IgnoreNulls(this=sge.FirstValue(this=arg))
 

third_party/bigframes_vendored/ibis/expr/operations/reductions.py

@@ -401,3 +401,20 @@ class ArrayAggregate(Filterable, Reduction):
     @attribute
     def dtype(self):
         return dt.Array(self.arg.dtype)
+
+
+@public
+class StringAgg(Filterable, Reduction):
+    """
+    Collects the elements of this expression into a string. Similar to
+    the ibis `GroupConcat`, but adds `order_by_*` parameter.
+    """
+
+    arg: Column
+    sep: Value[dt.String]
+
+    order_by: VarTuple[Value] = ()
+
+    @attribute
+    def dtype(self):
+        return dt.string

third_party/bigframes_vendored/pandas/core/strings/accessor.py

@@ -1298,3 +1298,43 @@ def center(
             bigframes.series.Series: Returns Series or Index with minimum number of char in object.
         """
         raise NotImplementedError(constants.ABSTRACT_METHOD_ERROR_MESSAGE)
+
+    def join(self, sep: str):
+        """
+        Join lists contained as elements in the Series/Index with passed delimiter.
+
+        If the elements of a Series are lists themselves, join the content of these
+        lists using the delimiter passed to the function.
+        This function is an equivalent to :meth:`str.join`.
+
+        **Examples:**
+
+            >>> import bigframes.pandas as bpd
+            >>> bpd.options.display.progress_bar = None
+            >>> import pandas as pd
+
+        Example with a list that contains non-string elements.
+
+            >>> s = bpd.Series([['lion', 'elephant', 'zebra'],
+            ...                ['dragon'],
+            ...                ['duck', 'swan', 'fish', 'guppy']])
+            >>> s
+            0       ['lion' 'elephant' 'zebra']
+            1                        ['dragon']
+            2    ['duck' 'swan' 'fish' 'guppy']
+            dtype: list<item: string>[pyarrow]
+
+            >>> s.str.join('-')
+            0     lion-elephant-zebra
+            1                  dragon
+            2    duck-swan-fish-guppy
+            dtype: string
+
+        Args:
+            sep (str):
+                Delimiter to use between list entries.
+
+        Returns:
+            bigframes.series.Series: The list entries concatenated by intervening occurrences of the delimiter.
+        """
+        raise NotImplementedError(constants.ABSTRACT_METHOD_ERROR_MESSAGE)