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This repository was archived by the owner on May 7, 2026. It is now read-only.

fix: cache DataFrames to temp tables in bigframes.bigquery.ml methods to avoid time travel #2318

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tswast merged 1 commit into from
Dec 9, 2025
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fix: cache DataFrames to temp tables in bigframes.bigquery.ml methods to avoid time travel #2318

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4 changes: 4 additions & 0 deletions 4 bigframes/bigquery/_operations/ml.py
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Original file line number Diff line number Diff line change
Expand Up @@ -39,6 +39,10 @@ def _to_sql(df_or_sql: Union[pd.DataFrame, dataframe.DataFrame, str]) -> str:
else:
bf_df = cast(dataframe.DataFrame, df_or_sql)

# Cache dataframes to make sure base table is not a snapshot.
# Cached dataframe creates a full copy, never uses snapshot.
# This is a workaround for internal issue b/310266666.
bf_df.cache()
sql, _, _ = bf_df._to_sql_query(include_index=False)
return sql

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5 changes: 3 additions & 2 deletions 5 bigframes/ml/core.py
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Expand Up @@ -436,8 +436,9 @@ def create_model(
Returns: a BqmlModel, wrapping a trained model in BigQuery
"""
options = dict(options)
# Cache dataframes to make sure base table is not a snapshot
# cached dataframe creates a full copy, never uses snapshot
# Cache dataframes to make sure base table is not a snapshot.
# Cached dataframe creates a full copy, never uses snapshot.
# This is a workaround for internal issue b/310266666.
if y_train is None:
input_data = X_train.reset_index(drop=True).cache()
else:
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