Support picosecond tiemstamps when writing GenericRecord and Beam Rows.

[claudevdm]

This maps Generic record ARRAY and beam row array<Timestamp.NANOS> properly to REPEATED TIMESTAMP(12) proto table schema so that writing nanosecond precision arrays work.

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[claudevdm]

/gemini review

[gemini-code-assist]

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 BigQuery Storage API connector by introducing support for writing arrays of nanosecond-precision timestamps. It addresses a limitation where the timestamp precision for elements within an array was not correctly propagated during schema conversion from Avro GenericRecords and Beam Rows to BigQuery's proto table schema. The changes ensure that high-precision timestamp arrays are accurately represented and stored in BigQuery.

Highlights

• Timestamp Precision Propagation: Implemented logic to correctly propagate timestampPrecision for array elements when converting Avro GenericRecords and Beam Rows to BigQuery Storage API proto schemas. This ensures that the precision of nanosecond timestamps within arrays is preserved.
• Support for Repeated Nanosecond Timestamps: Enabled proper mapping of ARRAY<timestamp-nanos> from Avro GenericRecords and array<Timestamp.NANOS> from Beam Rows to REPEATED TIMESTAMP(12) in the BigQuery proto table schema.
• New Test Cases: Added comprehensive unit tests in AvroGenericRecordToStorageApiProtoTest and BeamRowToStorageApiProtoTest to validate the correct handling and schema conversion of repeated nanosecond precision timestamps.

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[gemini-code-assist]

Code Review

This pull request adds support for picosecond precision timestamps within arrays when converting from Avro GenericRecord and Beam Row to BigQuery Storage API protos. The changes correctly propagate the timestamp precision from the array element type to the repeated field schema. The accompanying tests validate this new functionality. My feedback includes a minor suggestion to improve code consistency.

[github-actions]

Assigning reviewers:

R: @Abacn for label java.

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[Abacn]

Thanks!