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Set project for the bigquery client #3330

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Merged
merged 6 commits into from
Oct 3, 2025
Merged

Set project for the bigquery client #3330

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6d43894
test
pingsutw Sep 29, 2025
9278039
lint
pingsutw Sep 29, 2025
815c2b3
lint
pingsutw Oct 2, 2025
ee53f57
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pingsutw Oct 2, 2025
66c5d5a
Merge branch 'master' of github.com:flyteorg/flytekit into custom-bq-…
pingsutw Oct 2, 2025
d4474ce
Merge branch 'master' into custom-bq-project
pingsutw Oct 3, 2025
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1 change: 1 addition & 0 deletions .gitignore
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Expand Up @@ -40,4 +40,5 @@ coverage.xml
# Version file is auto-generated by setuptools_scm
flytekit/_version.py
testing
.flyte/
.claude/
20 changes: 17 additions & 3 deletions flytekit/types/structured/bigquery.py
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Expand Up @@ -25,12 +25,26 @@


def _write_to_bq(structured_dataset: StructuredDataset):
table_id = typing.cast(str, structured_dataset.uri).split("://", 1)[1].replace(":", ".")
client = bigquery.Client()
"""Write a StructuredDataset to BigQuery using its URI (format: bq://project:dataset.table)."""
uri = structured_dataset.uri
if uri is None:
raise RuntimeError(
"Missing StructuredDataset URI for BigQuery. Expected format: bq://<project>:<dataset>.<table>"
)

# Extract project and BigQuery destination (dataset.table)
project = uri.removeprefix("bq://").split(":", 1)[0]
# Convert project:dataset.table -> project.dataset.table
dst = uri.split("://", 1)[1].replace(":", ".")

client = bigquery.Client(project=project)

# Convert Arrow table to pandas DataFrame if needed
df = structured_dataset.dataframe
if isinstance(df, pa.Table):
df = df.to_pandas()
client.load_table_from_dataframe(df, table_id)

client.load_table_from_dataframe(df, dst)


def _read_from_bq(
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