Jose Soltren created SPARK-19181: ------------------------------------ Summary: 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 (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org