GitHub user jerryshao opened a pull request:
https://github.com/apache/spark/pull/16923
[SPARK-19038][Hive][YARN] Correctly figure out keytab file name in yarn
client mode
Change-Id: I06170769f83fe530361a2737427b46d657f40d75
## What changes were proposed in this pull request?
Because yarn#client will reset the `spark.yarn.keytab` configuration to
point to the location in distributed file, so if user still uses the old
`SparkConf` to create `SparkSession` with Hive enabled, it will read keytab
from the path in distributed cached. This is OK for yarn cluster mode, but in
yarn client mode where driver is running out of container, it will be failed to
fetch the keytab.
This is not a bug in Spark, but user will easily run into this issue if
they're not aware of this tricky thing. So instead of letting user to create a
new `SparkConf` to get original keytab file path, here put this logic into
Spark to avoid it.
## How was this patch tested?
Verified in security cluster.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/jerryshao/apache-spark SPARK-19038
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/16923.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 #16923
----
commit 7ed7c6c824c6b3ae5cf7a19edec37548adb1a2cc
Author: jerryshao <ss...@hortonworks.com>
Date: 2017-02-14T09:00:24Z
Correctly figure out keytab file name in yarn client mode
Change-Id: I06170769f83fe530361a2737427b46d657f40d75
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