[jira] [Commented] (SPARK-9805) Make streaming PySpark ML tests more robust using termination conditions

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-9805?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14680958#comment-14680958 ] 

Apache Spark commented on SPARK-9805:
-------------------------------------

User 'jkbradley' has created a pull request for this issue:
https://github.com/apache/spark/pull/8087

> Make streaming PySpark ML tests more robust using termination conditions
> ------------------------------------------------------------------------
>
>                 Key: SPARK-9805
>                 URL: https://issues.apache.org/jira/browse/SPARK-9805
>             Project: Spark
>          Issue Type: Test
>          Components: MLlib, PySpark, Streaming
>    Affects Versions: 1.5.0
>            Reporter: Joseph K. Bradley
>            Assignee: Joseph K. Bradley
>
> Recently, PySpark ML streaming tests have been flaky, most likely because of the batches not being processed in time.  Proposal: Replace the use of _ssc_wait (which waits for a fixed amount of time) with a method which waits for a fixed amount of time but can terminate early based on a termination condition method.  With this, we can extend the waiting period (to make tests less flaky) but also stop early when possible (making tests faster on average).



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