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https://issues.apache.org/jira/browse/SPARK-9487?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15667859#comment-15667859
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Sean Owen commented on SPARK-9487:
----------------------------------

It may be a slightly flaky test and your environment exposes that in a way that 
others don't. The question is, is the output from the test actually just as 
correct as the test's expected answer? if so the test should be loosened. Same 
question for the others.

> Use the same num. worker threads in Scala/Python unit tests
> -----------------------------------------------------------
>
>                 Key: SPARK-9487
>                 URL: https://issues.apache.org/jira/browse/SPARK-9487
>             Project: Spark
>          Issue Type: Improvement
>          Components: PySpark, Spark Core, SQL, Tests
>    Affects Versions: 1.5.0
>            Reporter: Xiangrui Meng
>              Labels: starter
>         Attachments: ContextCleanerSuiteResults, HeartbeatReceiverSuiteResults
>
>
> In Python we use `local[4]` for unit tests, while in Scala/Java we use 
> `local[2]` and `local` for some unit tests in SQL, MLLib, and other 
> components. If the operation depends on partition IDs, e.g., random number 
> generator, this will lead to different result in Python and Scala/Java. It 
> would be nice to use the same number in all unit tests.



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