[jira] [Assigned] (SPARK-19181) SparkListenerSuite.local metrics fails when average executorDeserializeTime is too short.

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

     [ https://issues.apache.org/jira/browse/SPARK-19181?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-19181:
------------------------------------

    Assignee:     (was: Apache Spark)

> 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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