8000 fix: Fix issue with iterating on >10gb dataframes by TrevorBergeron · Pull Request #949 · googleapis/python-bigquery-dataframes · GitHub
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fix: Fix issue with iterating on >10gb dataframes #949

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Merged
tswast merged 2 commits into from
Sep 4, 2024
Merged

fix: Fix issue with iterating on >10gb dataframes #949

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50b3908
fix: Fix issue with iterating on >10gb dataframes
TrevorBergeron Sep 4, 2024
4e3b889
Merge branch 'main' into batches_fix
tswast Sep 4, 2024
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4 changes: 3 additions & 1 deletion bigframes/core/blocks.py
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Original file line number Diff line number Diff line change
Expand Up @@ -577,7 +577,9 @@ def to_pandas_batches(
see https://cloud.google.com/python/docs/reference/bigquery/latest/google.cloud.bigquery.job.QueryJob#google_cloud_bigquery_job_QueryJob_result"""
dtypes = dict(zip(self.index_columns, self.index.dtypes))
dtypes.update(zip(self.value_columns, self.dtypes))
_, query_job = self.session._execute(self.expr, ordered=True)
_, query_job = self.session._executor.execute(
self.expr, ordered=True, use_explicit_destination=True
)
results_iterator = query_job.result(
page_size=page_size, max_results=max_results
)
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1 change: 1 addition & 0 deletions bigframes/session/__init__.py
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Expand Up @@ -1324,6 +1324,7 @@ def _execute(
*,
ordered: bool = True,
col_id_overrides: Mapping[str, str] = {},
use_explicit_destination: bool = False,
) -> tuple[bigquery.table.RowIterator, bigquery.QueryJob]:
return self._executor.execute(
array_value,
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8 changes: 8 additions & 0 deletions bigframes/session/executor.py
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Expand Up @@ -102,6 +102,7 @@ def execute(
*,
ordered: bool = True,
col_id_overrides: Mapping[str, str] = {},
use_explicit_destination: bool = False,
):
"""
Execute the ArrayValue, storing the result to a temporary session-owned table.
Expand All @@ -113,6 +114,13 @@ def execute(
array_value, ordered=ordered, col_id_overrides=col_id_overrides
)
job_config = bigquery.QueryJobConfig()
# Use explicit destination to avoid 10GB limit of temporary table
if use_explicit_destination:
schema = array_value.schema.to_bigquery()
destination_table = self.storage_manager.create_temp_table(
schema, cluster_cols=[]
)
job_config.destination = destination_table
# TODO(swast): plumb through the api_name of the user-facing api that
# caused this query.
return self._run_execute_query(
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