[jira] [Updated] (SPARK-2650) Wrong initial sizes for in-memory column buffers
[ https://issues.apache.org/jira/browse/SPARK-2650?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Cheng Lian updated SPARK-2650: -- Target Version/s: 1.2.0 (was: 1.1.0) > Wrong initial sizes for in-memory column buffers > > > Key: SPARK-2650 > URL: https://issues.apache.org/jira/browse/SPARK-2650 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 1.0.0, 1.0.1 >Reporter: Michael Armbrust >Assignee: Cheng Lian >Priority: Critical > > The logic for setting up the initial column buffers is different for Spark > SQL compared to Shark and I'm seeing OOMs when caching tables that are larger > than available memory (where shark was okay). > Two suspicious things: the intialSize is always set to 0 so we always go with > the default. The default looks like it was copied from code like 10 * 1024 * > 1024... but in Spark SQL its 10 * 102 * 1024. -- This message was sent by Atlassian JIRA (v6.2#6252) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-2650) Wrong initial sizes for in-memory column buffers
[ https://issues.apache.org/jira/browse/SPARK-2650?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Michael Armbrust updated SPARK-2650: Target Version/s: 1.1.0 > Wrong initial sizes for in-memory column buffers > > > Key: SPARK-2650 > URL: https://issues.apache.org/jira/browse/SPARK-2650 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 1.0.0, 1.0.1 >Reporter: Michael Armbrust >Assignee: Cheng Lian >Priority: Critical > > The logic for setting up the initial column buffers is different for Spark > SQL compared to Shark and I'm seeing OOMs when caching tables that are larger > than available memory (where shark was okay). > Two suspicious things: the intialSize is always set to 0 so we always go with > the default. The default looks like it was copied from code like 10 * 1024 * > 1024... but in Spark SQL its 10 * 102 * 1024. -- This message was sent by Atlassian JIRA (v6.2#6252)
