Max Gekk created SPARK-57455:
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Summary: Support nanosecond-precision timestamp types in the ORC
datasource (v1 and v2)
Key: SPARK-57455
URL: https://issues.apache.org/jira/browse/SPARK-57455
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 (core + hive ORC):
- Type mapping in OrcUtils (orcTypeDescription / toCatalystSchema):
TimestampLTZNanosType via native ORC timestamp (seconds+nanos, lossless);
TimestampNTZNanosType via ORC LONG with a catalyst attribute.
- Write: OrcSerializer (preserve sub-microsecond nanos); Hive path via
HiveInspectors.wrapperFor.
- Read non-vectorized: OrcDeserializer.
- Read vectorized: OrcAtomicColumnVector (build TimestampNanosVal from the
scratch java.sql.Timestamp).
- Guardrails: core OrcFileFormat, v2 OrcTable, hive orc OrcFileFormat.
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