GitHub user sameeragarwal opened a pull request:
https://github.com/apache/spark/pull/11882
[SPARK-14015][SQL] Support TimestampType in vectorized parquet reader
## What changes were proposed in this pull request?
This PR adds support for TimestampType in the vectorized parquet reader
## How was this patch tested?
1. `VectorizedColumnReader` initially had a gating condition on
`primitiveType.getPrimitiveTypeName() ==
PrimitiveType.PrimitiveTypeName.INT96)` that made us fall back on parquet-mr
for handling timestamps. This condition is now removed.
2. The `ParquetHadoopFsRelationSuite` (that tests for all supported hive
types -- including `TimestampType`) fails when the gating condition is removed
(https://github.com/apache/spark/pull/11808) and should now pass with this
change. Similarly, the `ParquetHiveCompatibilitySuite.SPARK-10177 timestamp`
test that fails when the gating condition is removed, should now pass as well.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/sameeragarwal/spark timestamp-parquet
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/11882.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #11882
----
commit a612f8b9c0d51771f3811cdb8f968fe0470221c9
Author: Sameer Agarwal <[email protected]>
Date: 2016-03-22T07:38:55Z
Support TimestampType in vectorized parquet reader
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