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@mridulm mridulm commented Apr 23, 2014

This is what I did to unblock our jobs - please feel free to modify or create a new PR based on this in case this wont suffice.
Unfortunately, I wont be able to shepard this patch actively ...

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mridulm commented Apr 23, 2014

Unrelated failures imo ?
Jenkins, retest this please

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mridulm commented Apr 23, 2014

Jenkins, retest this please.

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mridulm commented Apr 23, 2014

again unrelated failures imo ... CC @pwendell ... any idea why these tests keep failing ?

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@mridulm this has been there for a long while, I just filed an issue about this

https://issues.apache.org/jira/browse/SPARK-1600

I once reported it in the dev mail list http://apache-spark-developers-list.1001551.n3.nabble.com/a-weird-test-case-in-Streaming-td6116.html

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mridulm commented Apr 24, 2014

ah ok, that sucks ...

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mridulm commented Apr 25, 2014

Jenkins, retest this please.

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Hey @mridulm thanks for reporting this - I need to go and audit the spark-submit changes and make sure we properly backwards support all these options on YARN. I'm going to look at it this weekend.

I think the issue with the test is currently unknown... however might be worth digging into

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I made this JIRA for it. https://issues.apache.org/jira/browse/SPARK-1625

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mridulm commented Apr 25, 2014

Thanks patrick - looks like the tests passed now !
This was just a quick and dirty change based on what I did to unblock our immediate jobs - so might be suboptimal. Unfortunately, I am slightly swamped - so cant clean it up.
Please do feel free to use this and make appropriate changes.

Note that we used to propagate all SPARK_* env variables from Client to app master and so on - which got removed; which caused part of the problem (I selectively re-added only for these two variables, but it is possible other variables might be broken too ?).
Additionally, ofcourse, dropping setting of the env variable entirely. I have not followed up the discussions on why this happened and for what reasons either ...

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mridulm commented May 8, 2014

Closing this assuming it has been resolved through other PR's. Please let me know in case this is not the case.

@mridulm mridulm closed this May 8, 2014
rvesse pushed a commit to rvesse/spark that referenced this pull request Mar 2, 2018
* first stage of PR apache#514 of just logic

* fixing build and unit test issues

* fixed integration tests

* fixed issue with executorPodFactory unit tests

* first series of PR comments

* handle most PR comments

* third round of PR comments

* initial round of comments and initial unit tests for deploy

* handled most of the comments and added test cases for pods

* resolve conflicts

* merge conflicts

* adding thread sleeping for RSS issues as a test

* resolving comments and unit testing

* regarding comments on PR
helenyugithub pushed a commit to helenyugithub/spark that referenced this pull request Aug 20, 2019
…adaptive execution (auto setting the number of reducer)" (apache#514)

This reverts https://github.com/palantir/spark/pull/443/files#diff-3cd46a3f60c5352282bd3f2c9efff7fc

fysa @justinuang 

This reverts commit 8a4a29b, reversing
changes made to 8bfddaf.

## Upstream SPARK-XXXXX ticket and PR link (if not applicable, explain)

## What changes were proposed in this pull request?

(Please fill in changes proposed in this fix)

## How was this patch tested?

(Please explain how this patch was tested. E.g. unit tests, integration tests, manual tests)
(If this patch involves UI changes, please attach a screenshot; otherwise, remove this)

Please review http://spark.apache.org/contributing.html before opening a pull request.
helenyugithub pushed a commit to helenyugithub/spark that referenced this pull request Aug 20, 2019
…ork for adaptive execution (auto setting the number of reducer)" (apache#514)"

This reverts commit a763413.
bzhaoopenstack pushed a commit to bzhaoopenstack/spark that referenced this pull request Sep 11, 2019
apache#514)

* Add job for running tensorflow benchmarks with kubeflow/volcano on k8s

This change added a job for running the tensorflow benchmarks on
kubeflow + k8s 1.14 or volcano 0.5.0 +k8s 1.14

implement: theopenlab/openlab#256
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