[ https://issues.apache.org/jira/browse/SPARK-19181?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Marcelo Vanzin resolved SPARK-19181. ------------------------------------ Resolution: Fixed Fix Version/s: 2.3.1 2.4.0 Issue resolved by pull request 21280 [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 > Assignee: Attila Zsolt Piros > Priority: Minor > Fix For: 2.4.0, 2.3.1 > > > 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