BigQuery adds GCS mounts for Python UDFs and native UUIDs
BigQuery now supports mounting GCS buckets as volumes for Python UDFs and introduces a native UUID data type for SQL schemas.
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BigQuery now supports mounting GCS buckets as volumes for Python UDFs and introduces a native UUID data type for SQL schemas.
BigQuery now explicitly identifies the SQL statement type in query responses and provides new percentile-based metrics for detecting data skew in query stages.
BigQuery now supports table-valued arguments for routines and provides granular object storage statistics for multi-cloud queries. Developers can also now force on-demand billing by setting reservations to 'none'.
BigQuery is introducing native Apache Arrow support for query results, enabling high-performance columnar data transfer directly from the query API.
Updated documentation for Python UDF concurrency settings in ExternalRuntimeOptions, adding links to configuration guides.
The description for transferredBytes in query statistics has been updated to specifically define its role in BigQuery Omni data movement.
The BigQuery v2 discovery document has been updated to explicitly document the IAM permissions required for nearly every API method, simplifying least-privilege configuration.
BigQuery has expanded timestamp precision autodetection to Iceberg External Tables and clarified concurrency settings for Python UDFs.