fix: BigFrames respects bq default region#16933
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This pull request updates the session initialization to dynamically detect the default BigQuery location via a dry-run query when one isn't explicitly provided. A critical issue was identified in the implementation: query_and_wait does not support dry runs because it attempts to call .result() on the job. It is recommended to use the query method instead and to wrap the temporary BigQuery client in a context manager for proper resource handling.
tswast
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May 5, 2026
| ) as temp_client: | ||
| row_iter = temp_client.query_and_wait( | ||
| "SELECT 1", | ||
| job_config=bigquery.QueryJobConfig(dry_run=True), |
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Does dry run actually populate the location info? I suppose it should, but good to double-check.
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It does afaict from manual usage and the pre-existing integration test
shuoweil
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May 13, 2026
PR created by the Librarian CLI to initialize a release. Merging this PR will auto trigger a release. Librarian Version: v0.13.0 Language Image: us-central1-docker.pkg.dev/cloud-sdk-librarian-prod/images-prod/python-librarian-generator@sha256:234b9d1f2ddb057ed7ac6a38db0bf8163d839c65c6cf88ade52530cddebce59e <details><summary>bigframes: v2.40.0</summary> ## [v2.40.0](bigframes-v2.39.0...bigframes-v2.40.0) (2026-05-13) ### Features * Add `bigframes.execution_history` API to track BigQuery jobs (#16588) ([fa20a74](fa20a740)) ```python import bigframes.pandas as bpd bpd.options.compute.enable_execution_history = True df = bpd.read_gbq("my_table") # ... perform operations ... history = bpd.execution_history print(history.jobs) # Access BigQuery job details for executed queries ``` * Implement `ai.similarity` and `ai.embed` for text embeddings and semantic similarity (#16771, #16759) ([d4afa2c](d4afa2c8), [fcb4579](fcb4579b)) ```python import bigframes.pandas as bpd # Generate embeddings df["embeddings"] = bpd.bigquery.ai.embed(df["text_col"]) # Compute similarity df["similarity"] = bpd.bigquery.ai.similarity(df["embeddings_a"], df["embeddings_b"]) ``` * Support `hparam_range` and `hparam_candidates` parameters for hyperparameter tuning in model creation (#16640) ([ca47835](ca47835c)) * Update `ai.score`, `ai.classify` and `ai.if_` parameters to match their SQL equivalents (#16919, #16990, #16857) ([9f42fe1](9f42fe14), [e9c52b1](e9c52b12), [f3cb4ad](f3cb4ad0)) * Support unstable sorting in `sort_values` and `sort_index` (#16665) ([bbdeb70](bbdeb70f)) * Support loading Avro and ORC data formats (#16555) ([6d46cba](6d46cba3)) * Add NumPy ufunc support directly on column expressions (#16554) ([2f792ab](2f792abd)) ### Bug Fixes * Fix bugs compiling ambiguous ids and in subqueries (#16617) ([479e44d](479e44dd)) * BigFrames respects bq default region (#16933) ([ef9945a](ef9945a5)) * avoid views when querying BigLake tables from SQL cells (#16562) ([fdd3e0d](fdd3e0de)) * avoid `copy` argument warning in `to_pandas` (#16917) ([fe5245b](fe5245b8)) ### Performance Improvements * Improve write api upload throughput (#16641) ([ef856b0](ef856b04)) ### Documentation * Add docs to the to_csv methods of dataframe and series (#16570) ([a8fccef](a8fccefd)) </details>
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Fixes #<issue_number_goes_here> 🦕