Wang Yuan created SPARK-35212: --------------------------------- Summary: Spark Streaming LocationStrategy should provide a random option that mapping kafka partitions randomly to spark executors Key: SPARK-35212 URL: https://issues.apache.org/jira/browse/SPARK-35212 Project: Spark Issue Type: New Feature Components: DStreams Affects Versions: 3.1.1 Reporter: Wang Yuan
There are three LocationStrategy: PreferBrokers, PreferConsistent, PreferFixed. I got a scenario that I need a random one. There are plenty of topic partitions that are varies from each other with different records inside. And I have a lot of executors. PreferBrokers does not help here. PreferConsistent will make things worse that some executor will always get heavy tasks. PreferFixed does not help too, because it is fixed, neither to say I have to create a mapping manually. A random LocationStrategy should dispatch a topic partition to different executors in different window. This would balance the load among spark executors. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org