[
https://issues.apache.org/jira/browse/SPARK-57455?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Max Gekk updated SPARK-57455:
-----------------------------
Affects Version/s: 4.3.0
(was: 5.0.0)
> 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: 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 (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.
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
