Gengliang Wang fce19ab31a [SPARK-36135][SQL] Support TimestampNTZ type in file partitioning ... ### What changes were proposed in this pull request? Support TimestampNTZ type in file partitioning * When there is no provided schema and the default Timestamp type is TimestampNTZ , Spark should infer and parse the timestamp value partitions as TimestampNTZ. * When the provided Partition schema is TimestampNTZ, Spark should be able to parse the TimestampNTZ type partition column. ### Why are the changes needed? File partitioning is an important feature and Spark should support TimestampNTZ type in it. ### Does this PR introduce _any_ user-facing change? Yes, Spark supports TimestampNTZ type in file partitioning ### How was this patch tested? Unit tests Closes #33344 from gengliangwang/partition. Authored-by: Gengliang Wang <gengliang@apache.org> Signed-off-by: Gengliang Wang <gengliang@apache.org> (cherry picked from commit 96c2919988) Signed-off-by: Gengliang Wang <gengliang@apache.org>		2021-07-16 01:13:49 +08:00
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benchmarks	[SPARK-34981][SQL][FOLLOWUP] Use SpecificInternalRow in ApplyFunctionExpression	2021-05-24 17:25:24 +09:00
src	[SPARK-36135][SQL] Support TimestampNTZ type in file partitioning	2021-07-16 01:13:49 +08:00
pom.xml	[SPARK-35784][SS] Implementation for RocksDB instance	2021-06-29 17:46:45 -07:00