[ https://issues.apache.org/jira/browse/SPARK-26660?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
liupengcheng updated SPARK-26660: --------------------------------- Attachment: screenshot-1.png > Add warning logs for large taskBinary size > ------------------------------------------ > > Key: SPARK-26660 > URL: https://issues.apache.org/jira/browse/SPARK-26660 > Project: Spark > Issue Type: Improvement > Components: Spark Core > Affects Versions: 2.1.0, 2.4.0 > Environment: Spark2.1 > Reporter: liupengcheng > Priority: Minor > Attachments: screenshot-1.png > > > In our production environment, we encountered a OOM problem in ML > application. After carefully investigation, it was found that some ML library > may generate large ml model, thus causing executor may not able to > deserialize it and result in OOM failures. > !screenshot-1.png! > In order to facilitate the debuging of memory problem caused by large > taskBinary broadcast, we may should add same warning logs for it. -- 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