[ https://issues.apache.org/jira/browse/SPARK-26539?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-26539. ------------------------------- Resolution: Fixed Fix Version/s: 3.0.0 Issue resolved by pull request 23457 [https://github.com/apache/spark/pull/23457] > Remove spark.memory.useLegacyMode memory settings + StaticMemoryManager > ----------------------------------------------------------------------- > > Key: SPARK-26539 > URL: https://issues.apache.org/jira/browse/SPARK-26539 > Project: Spark > Issue Type: Task > Components: Spark Core > Affects Versions: 3.0.0 > Reporter: Sean Owen > Assignee: Sean Owen > Priority: Major > Labels: release-notes > Fix For: 3.0.0 > > > The old memory manager was superseded by UnifiedMemoryManager in Spark 1.6, > and has been the default since. I think we could remove it to simplify the > code a little, but more importantly to reduce the variety of memory settings > users are confronted with when using Spark. -- 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