GitHub user vanzin opened a pull request:
https://github.com/apache/spark/pull/14020
[SPARK-16349][sql] Fall back to isolated class loader when classes not
found.
Some Hadoop classes needed by the Hive metastore client jars are not present
in Spark's packaging (for example, "org/apache/hadoop/mapred/MRVersion"). So
if the parent class loader fails to find a class, try to load it from the
isolated class loader, in case it's available there.
I also took the opportunity to remove the HIVE_EXECUTION_VERSION constant
since
it's not used anywhere.
Tested by setting spark.sql.hive.metastore.jars to local paths with
Hive/Hadoop
libraries and verifying that Spark can talk to the metastore.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/vanzin/spark SPARK-16349
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/14020.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 #14020
----
commit 693939cda31f67d4bab2351901d0dcebb40eb405
Author: Marcelo Vanzin <van...@cloudera.com>
Date: 2016-07-01T22:31:43Z
[SPARK-16349][sql] Fall back to isolated class loader when classes not
found.
Some Hadoop classes needed by the Hive metastore client jars are not present
in Spark's packaging (for example, "org/apache/hadoop/mapred/MRVersion"). So
if the parent class loader fails to find a class, try to load it from the
isolated class loader, in case it's available there.
I also took the opportunity to remove the HIVE_EXECUTION_VERSION constant
since
it's not used anywhere.
Tested by setting spark.sql.hive.metastore.jars to local paths with
Hive/Hadoop
libraries and verifying that Spark can talk to the metastore.
----
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
