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https://issues.apache.org/jira/browse/SPARK-57459?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Max Gekk updated SPARK-57459:
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Affects Version/s: 4.3.0
(was: 5.0.0)
> Support nanosecond-precision timestamp types in the Avro datasource (v1 and
> v2)
> -------------------------------------------------------------------------------
>
> Key: SPARK-57459
> URL: https://issues.apache.org/jira/browse/SPARK-57459
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 4.3.0
> Reporter: Max Gekk
> Priority: Major
>
> Umbrella: SPARK-56822 (Timestamps with nanosecond precision).
> Add read and write support for the nanosecond-capable timestamp types
> TIMESTAMP_NTZ(p) and TIMESTAMP_LTZ(p) (p in 7-9) so this datasource reaches
> parity with the microsecond TimestampType / TimestampNTZType. Remove the
> SPARK-57166 rejection guardrail (supportDataType / supportsDataType) once
> read and write are implemented and tested, and update
> FileBasedDataSourceSuite accordingly. Cover precisions 7-9 for both NTZ and
> LTZ.
> Scope:
> - Schema: add timestamp-nanos / local-timestamp-nanos logical types both
> directions in SchemaConverters (Avro stores nanoseconds-since-epoch in a
> long). If the bundled Avro version lacks nanos LogicalTypes, encode via a
> custom logical-type name.
> - Read: AvroDeserializer using an epoch-nanos <-> TimestampNanosVal helper
> (floorDiv/floorMod).
> - Write: AvroSerializer.
> - Guardrails: AvroUtils.supportsDataType (v1 AvroFileFormat), v2 AvroTable.
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