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https://issues.apache.org/jira/browse/SPARK-57457?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Max Gekk updated SPARK-57457:
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Affects Version/s: 4.3.0
(was: 5.0.0)
> Support nanosecond-precision timestamp types in the CSV datasource (v1 and v2)
> ------------------------------------------------------------------------------
>
> Key: SPARK-57457
> URL: https://issues.apache.org/jira/browse/SPARK-57457
> 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: UnivocityParser nanos cases via TimestampFormatter parseNanos /
> parseWithoutTimeZoneNanos with the column precision.
> - Write: UnivocityGenerator via formatNanos / formatWithoutTimeZoneNanos.
> - Schema inference: CSVInferSchema (keep inferring microsecond by default).
> - Guardrails: CSVFileFormat (v1), CSVTable (v2).
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