ShiShu created SPARK-3583: ----------------------------- Summary: Spark run slow after unexpected repartition Key: SPARK-3583 URL: https://issues.apache.org/jira/browse/SPARK-3583 Project: Spark Issue Type: Bug Affects Versions: 0.9.1 Reporter: ShiShu
Hi dear all~ My spark application sometimes runs much slower than it use to be, so I wonder why would this happen. I find out that after a repartition stage of stage 17, all tasks go to one executor. But in my code, I only use repartition at the very beginning. In my application, before stage 17, every stage run sucessfully within 1 minute, but after stage 17, it cost more than 10 minutes for every stage. Normally my application runs succcessfully and will finish within 9 minites. My spark version is 0.9.1, and my program is writen by scala. I take some screenshots but don't know how to post it, pls tell me if you need. -- 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