Max Gekk created SPARK-57457:
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Summary: 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: 5.0.0
Reporter: Max Gekk
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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