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https://issues.apache.org/jira/browse/SPARK-58737?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-58737:
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Labels: pull-request-available (was: )
> Support nanosecond-precision timestamps in ColumnarRow/ColumnarBatchRow
> copy() and get()
> ----------------------------------------------------------------------------------------
>
> Key: SPARK-58737
> URL: https://issues.apache.org/jira/browse/SPARK-58737
> Project: Spark
> Issue Type: Task
> Components: Spark Core
> Affects Versions: 4.4.0
> Reporter: Stevo Mitric
> Priority: Major
> Labels: pull-request-available
>
> The generic type-dispatch in ColumnarRow and ColumnarBatchRow
> (sql/catalyst/.../vectorized/) does not handle the nanosecond-precision
> timestamp types TimestampNTZNanosType(p) / TimestampLTZNanosType(p) (p in [7,
> 9], carried as org.apache.spark.unsafe.types.TimestampNanosVal).
> As a result, copy() and get(int, DataType) throw at runtime on a nanosecond
> timestamp column:
> - copy() dispatches on PhysicalDataType and falls through to
> RuntimeException("Not implemented. " + dt).
> - get(int, DataType) dispatches on DataType and throws
> SparkUnsupportedOperationException (_LEGACY_ERROR_TEMP_3155 in ColumnarRow,
> _LEGACY_ERROR_TEMP_3152 in ColumnarBatchRow).
>
> The per-cell leaf accessors (getTimestampNTZNanos / getTimestampLTZNanos)
> already exist and work; only these two generic dispatch methods were never
> extended.
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