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https://issues.apache.org/jira/browse/SPARK-19181?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15850408#comment-15850408
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Jose Soltren commented on SPARK-19181:
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https://github.com/apache/spark/pull/16586 made some changes to create more
workers and push the working time for this test slightly longer.
This solution will only work for so long and does not address the fundamental
issue in the description.
> SparkListenerSuite.local metrics fails when average executorDeserializeTime
> is too short.
> -----------------------------------------------------------------------------------------
>
> Key: SPARK-19181
> URL: https://issues.apache.org/jira/browse/SPARK-19181
> Project: Spark
> Issue Type: Bug
> Components: Tests
> Affects Versions: 2.1.0
> Reporter: Jose Soltren
> Priority: Minor
>
> https://github.com/apache/spark/blob/master/core/src/test/scala/org/apache/spark/scheduler/SparkListenerSuite.scala#L249
> The "local metrics" test asserts that tasks should take more than 1ms on
> average to complete, even though a code comment notes that this is a small
> test and tasks may finish faster. I've been seeing some "failures" here on
> fast systems that finish these tasks quite quickly.
> There are a few ways forward here:
> 1. Disable this test.
> 2. Relax this check.
> 3. Implement sub-millisecond granularity for task times throughout Spark.
> 4. (Imran Rashid's suggestion) Add buffer time by, say, having the task
> reference a partition that implements a custom Externalizable.readExternal,
> which always waits 1ms before returning.
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