[ https://issues.apache.org/jira/browse/SPARK-15690?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Reynold Xin updated SPARK-15690: -------------------------------- Summary: Fast single-node (single-process) in-memory shuffle (was: Fast single-node in-memory shuffle) > Fast single-node (single-process) in-memory shuffle > --------------------------------------------------- > > Key: SPARK-15690 > URL: https://issues.apache.org/jira/browse/SPARK-15690 > Project: Spark > Issue Type: New Feature > Components: Shuffle, SQL > Reporter: Reynold Xin > > An increasing number of Spark users are using the system to process data on a > single-node. When in a single node operating against intermediate data that > fits in memory, the existing shuffle code path can become a big bottleneck. > Ideally, Spark should be able to use in-memory radix sort to do data > shuffling on a single node -- 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