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Huangkaixuan updated YARN-6289: ------------------------------- Attachment: Results For Experiment One.docx > yarn got little data locality > ----------------------------- > > Key: YARN-6289 > URL: https://issues.apache.org/jira/browse/YARN-6289 > Project: Hadoop YARN > Issue Type: Improvement > Components: capacity scheduler > Environment: Hardware configuration > CPU: 2 x Intel(R) Xeon(R) E5-2620 v2 @ 2.10GHz /15M Cache 6-Core 12-Thread > Memory: 128GB Memory (16x8GB) 1600MHz > Disk: 600GBx2 3.5-inch with RAID-1 > Network bandwidth: 968Mb/s > Software configuration > Spark-1.6.2 Hadoop-2.7.1 > Reporter: Huangkaixuan > Priority: Minor > Attachments: Results For Experiment One.docx > > > When I ran this experiment with both Spark and MapReduce wordcount on the > file, I noticed that the job did not get data locality every time. It was > seemingly random in the placement of the tasks, even though there is no other > job running on the cluster. I expected the task placement to always be on the > single machine which is holding the data block, but that did not happen. -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: yarn-issues-unsubscr...@hadoop.apache.org For additional commands, e-mail: yarn-issues-h...@hadoop.apache.org