VER: Release 0.68.1

CHANGELOG.md

@@ -1,5 +1,10 @@
 # Changelog
 
+## 0.68.1 - 2025-12-16
+
+#### Enhancements
+- Improved the performance of `DBNStore.to_df()` symbol mapping
+
 ## 0.68.0 - 2025-12-09
 
 This release adds support for Python 3.14.

CODE_OF_CONDUCT.md

@@ -60,7 +60,7 @@ representative at an online or offline event.
 
 Instances of abusive, harassing, or otherwise unacceptable behavior may be
 reported to the community leaders responsible for enforcement at
-info@nautechsystems.io.
+support@databento.com.
 All complaints will be reviewed and investigated promptly and fairly.
 
 All community leaders are obligated to respect the privacy and security of the

databento/common/dbnstore.py

@@ -1287,7 +1287,7 @@ def _transcode(
     ) -> None:
         if map_symbols:
             self._instrument_map.insert_metadata(self.metadata)
-            symbol_map = self._instrument_map._data
+            symbol_map = self._instrument_map.build_symbol_map()
         else:
             symbol_map = None
 
@@ -1299,7 +1299,7 @@ def _transcode(
             pretty_ts=pretty_ts,
             has_metadata=True,
             map_symbols=map_symbols,
-            symbol_interval_map=symbol_map,  # type: ignore [arg-type]
+            symbol_interval_map=symbol_map,
             schema=schema,
         )
 
@@ -1508,19 +1508,12 @@ def _format_hidden_fields(self, df: pd.DataFrame) -> None:
     def _format_map_symbols(self, df: pd.DataFrame) -> None:
         # the first ordered field will be ts_recv or ts_event when appropriate
         ts_name = self._struct_type._ordered_fields[0]
+        dates = df[ts_name] if self._pretty_ts else pd.to_datetime(df[ts_name], utc=True).dt.date
 
-        if df.empty:
-            df["symbol"] = []
-        else:
-            df["symbol"] = df.apply(
-                lambda r: self._instrument_map.resolve(
-                    r["instrument_id"],
-                    (
-                        r[ts_name] if self._pretty_ts else pd.to_datetime(r[ts_name], utc=True)
-                    ).date(),
-                ),
-                axis=1,
-            )
+        df["symbol"] = self._instrument_map.resolve_many(
+            df["instrument_id"].to_numpy(),
+            np.asarray(dates, dtype="datetime64[D]"),
+        )
 
     def _format_timezone(self, df: pd.DataFrame) -> None:
         for field in self._struct_type._timestamp_fields: