GitHub user sameeragarwal opened a pull request:
https://github.com/apache/spark/pull/10826
[SPARK-12682] Add support for (optionally) not storing tables in hive
metadata format
This PR adds a new table option (`skip_hive_metadata`) that'd allow the
user to skip storing the table metadata in hive metadata format. While this
could be useful in general, the specific use-case for this change is that Hive
doesn't handle wide schemas well (see
https://issues.apache.org/jira/browse/SPARK-12682 and
https://issues.apache.org/jira/browse/SPARK-6024) which in turn prevents such
tables from being queried in SparkSQL.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/sameeragarwal/spark skip-hive-metadata
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/10826.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 #10826
----
commit cae4413d9f87d9c8c332280a547ae4f8ba63267b
Author: Sameer Agarwal <sam...@databricks.com>
Date: 2016-01-19T04:46:12Z
Add support for (optionally) not storing tables in hive metadata format
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