Map TIMSETAMP(12) BQ type -> timestamp-nanos Avro type in default schemafactory

[claudevdm]

BigQueryIO.writeGenericRecord with storage API:

StorageApiDynamicDestinationsGenericRecord requires a TableSchema, converts the TableSchema to an AvroSchema using schemaFactory (default BigQueryAvroUtils::toGenericAvroSchema), then converts the avroSchema to a protoTableSchema.

This PR maps TIMESTAMP(12) BQ columns to Avro timestamp-nanos logical types so that the default schema factory

beam/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIO.java

Line 643 in 6bedec3

DEFAULT_AVRO_SCHEMA_FACTORY = BigQueryAvroUtils::toGenericAvroSchema;

can be used to write nanosecond precision timestamps with storage API.

I missed that there is a default schemafactory initially and just used passed a static AvroSchema in the schemafactory which serves as a workaround.

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Summary of Changes

Hello @claudevdm, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request enhances the Apache Beam BigQueryIO connector by enabling the correct handling of nanosecond precision timestamps when writing data to BigQuery via the Storage API. By modifying the default Avro schema factory, BigQuery's TIMESTAMP(12) type is now accurately mapped to Avro's timestamp-nanos logical type, ensuring data fidelity for high-resolution timestamp fields. This eliminates the need for manual workarounds and streamlines the process of writing detailed time-series data.

Highlights

• BigQuery TIMESTAMP(12) to Avro timestamp-nanos mapping: The default schema factory now correctly maps BigQuery's TIMESTAMP(12) type to the Avro timestamp-nanos logical type. This allows for writing nanosecond precision timestamps to BigQuery using the Storage API.
• Enhanced Timestamp Precision Handling: This change ensures that BigQueryIO.writeGenericRecord can properly handle and persist timestamps with nanosecond precision, addressing a previous limitation where a workaround was needed.
• Integration Test Updates: The BigQueryTimestampPicosIT.java integration test has been updated to include a new ts_picos field, verifying the handling of higher precision timestamps within the test suite.

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[damccorm]

Thanks!

[github-actions]

Checks are failing. Will not request review until checks are succeeding. If you'd like to override that behavior, comment assign set of reviewers

[claudevdm]

Failing tests are unrelated