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Apache Spark commented on SPARK-19181: -------------------------------------- User 'attilapiros' has created a pull request for this issue: https://github.com/apache/spark/pull/21280 > 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. -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org