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https://issues.apache.org/jira/browse/SPARK-57456?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Max Gekk updated SPARK-57456:
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Affects Version/s: 4.3.0
(was: 5.0.0)
> Support nanosecond-precision timestamp types in the JSON datasource (v1 and
> v2)
> -------------------------------------------------------------------------------
>
> Key: SPARK-57456
> URL: https://issues.apache.org/jira/browse/SPARK-57456
> 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:
> - Read: JacksonParser nanos cases via TimestampFormatter parseNanos /
> parseWithoutTimeZoneNanos with the column precision.
> - Write: JacksonGenerator via formatNanos / formatWithoutTimeZoneNanos.
> - Schema inference: JsonInferSchema (keep inferring microsecond by default;
> nanos only via an explicit user schema).
> - Guardrails: JsonFileFormat (v1), JsonTable (v2).
> - Note: the legacy formatter policy rejects nanos; document the limitation.
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