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Hudson commented on MAPREDUCE-516: ---------------------------------- Integrated in Hadoop-Mapreduce-trunk #15 (See [http://hudson.zones.apache.org/hudson/job/Hadoop-Mapreduce-trunk/15/]) > Fix the 'cluster drain' problem in the Capacity Scheduler wrt High RAM Jobs > --------------------------------------------------------------------------- > > Key: MAPREDUCE-516 > URL: https://issues.apache.org/jira/browse/MAPREDUCE-516 > Project: Hadoop Map/Reduce > Issue Type: Bug > Affects Versions: 0.20.1 > Reporter: Arun C Murthy > Assignee: Arun C Murthy > Fix For: 0.21.0 > > Attachments: HADOOP-5964-11.patch, HADOOP-5964-12.patch, > HADOOP-5964_0_20090602.patch, HADOOP-5964_10_20090622.patch, > HADOOP-5964_11_20090623.patch, HADOOP-5964_1_20090608.patch, > HADOOP-5964_1_20090623_yhadoop.patch, HADOOP-5964_2_20090609.patch, > HADOOP-5964_2_20090629_yhadoop.patch, HADOOP-5964_2_20090629_yhadoop.patch, > HADOOP-5964_4_20090615.patch, HADOOP-5964_6_20090617.patch, > HADOOP-5964_7_20090618.patch, HADOOP-5964_8_20090618.patch, > HADOOP-5964_9_20090619.patch, HADOOP-5964_9_20090619.patch, > MAPREDUCE-516-Y20.patch > > > When a HighRAMJob turns up at the head of the queue, the current > implementation of support for HighRAMJobs in the Capacity Scheduler has > problem in that the scheduler stops assigning tasks to all TaskTrackers in > the cluster until a HighRAMJob finds a suitable TaskTrackers for all its > tasks. > This causes a severe utilization problem since effectively no new tasks are > allowed to run until the HighRAMJob (at the head of the queue) gets slots. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.