[ https://issues.apache.org/jira/browse/MAPREDUCE-1367?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Aaron Kimball updated MAPREDUCE-1367: ------------------------------------- Attachment: MAPREDUCE-1367.4.patch Chris, all those suggestions make sense. Here's a new patch that implements them. I also added a static getter/setter API for the config param {code} public static void LocalJobRunner.setLocalMaxRunningMaps(JobContext, int) public static int LocalJobRunner.getLocalMaxRunningMaps(JobContext) {code} > LocalJobRunner should support parallel mapper execution > ------------------------------------------------------- > > Key: MAPREDUCE-1367 > URL: https://issues.apache.org/jira/browse/MAPREDUCE-1367 > Project: Hadoop Map/Reduce > Issue Type: Improvement > Reporter: Aaron Kimball > Assignee: Aaron Kimball > Attachments: MAPREDUCE-1367.2.patch, MAPREDUCE-1367.3.patch, > MAPREDUCE-1367.4.patch, MAPREDUCE-1367.patch > > > The LocalJobRunner currently supports only a single execution thread. Given > the prevalence of multi-core CPUs, it makes sense to allow users to run > multiple tasks in parallel for improved performance on small (local-only) > jobs. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.