[ https://issues.apache.org/jira/browse/SPARK-12133?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Andrew Or resolved SPARK-12133. ------------------------------- Resolution: Fixed Fix Version/s: 2.0.0 > Support dynamic allocation in Spark Streaming > --------------------------------------------- > > Key: SPARK-12133 > URL: https://issues.apache.org/jira/browse/SPARK-12133 > Project: Spark > Issue Type: Bug > Components: Spark Core, Streaming > Reporter: Andrew Or > Assignee: Tathagata Das > Fix For: 2.0.0 > > Attachments: dynamic-allocation-streaming-design.pdf > > > Dynamic allocation is a feature that allows your cluster resources to scale > up and down based on the workload. Currently it doesn't work well with Spark > streaming because of several reasons: > (1) Your executors may never be idle since they run something every N seconds > (2) You should have at least one receiver running always > (3) The existing heuristics don't take into account length of batch queue > ... > The goal of this JIRA is to provide better support for using dynamic > allocation in streaming. A design doc will be posted shortly. -- 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