GitHub user minahlee opened a pull request:
https://github.com/apache/incubator-zeppelin/pull/605
[ZEPPELIN-572] pyspark interpreter doesn't work on yarn-client
### What is this PR for?
Set `spark.yarn.isPython` to be `true` to distribute pyspark libraries to
workers when master is `yarn-client`
### What type of PR is it?
Bug Fix
### Is there a relevant Jira issue?
[ZEPPELIN-572](https://issues.apache.org/jira/browse/ZEPPELIN-572)
### How should this be tested?
You need yarn cluster to test this PR.
Simple way to test this PR would be running below code in paragraph and see
if it throws error.
```
%pyspark
print(sc.parallelize([1, 2]).count())
```
And you should be able to see that `spark.yarn.isPython` is set to `true`
in **Spark UI > Environment > Spark Properties** only when you set spark.master
as `yarn-client`.
### Questions:
* Does the licenses files need update? No
* Is there breaking changes for older versions? No
* Does this needs documentation? No
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/minahlee/incubator-zeppelin ZEPPELIN-572
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/incubator-zeppelin/pull/605.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 #605
----
commit 8c99de50e74d86f39a5523f4aa70fe419efca9c8
Author: Mina Lee <[email protected]>
Date: 2016-01-07T05:23:18Z
Set spark.yarn.isPython to be true to distribute needed pyspark libraries
to workers when master is yarn-client
----
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