GitHub user wangyum opened a pull request:
https://github.com/apache/spark/pull/16122
[SPARK-18681][SQL] Fix filtering to compatible with partition keys of type
int
## What changes were proposed in this pull request?
Cloudera's Hive default configuration: `hive.metastore.try.direct.sql=true`
and `hive.metastore.integral.jdo.pushdown=false`. It will throw `Filtering is
supported only on partition keys of type string` exception and program exit
after [SPARK-17992](https://issues.apache.org/jira/browse/SPARK-17992). This
fix to catch this exception and return all partitions like previously spark
version.
## How was this patch tested?
It can't reproduce this issue in a similar way to
[HiveClientSuite.scala](https://github.com/apache/spark/blob/master/sql/hive/src/test/scala/org/apache/spark/sql/hive/client/HiveClientSuite.scala).
May be we need a real metastore, So I build code and manual test this fix on
my spark cluster.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/wangyum/spark SPARK-18681
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/16122.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 #16122
----
commit f792cb475d0758f663be7f61ad1cd656489f9b72
Author: Yuming Wang <[email protected]>
Date: 2016-12-02T16:29:49Z
Fix filtering to compatible with partition keys of type int
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