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https://issues.apache.org/jira/browse/YARN-6289?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Huangkaixuan updated YARN-6289:
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Attachment: YARN-DataLocality.docx
> Fail to achieve data locality when runing MapReduce and Spark on HDFS
> ---------------------------------------------------------------------
>
> 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: YARN-DataLocality.docx
>
>
> When I ran experiments with both Spark and MapReduce wordcount on YARN, I
> noticed that the task failed to achieve data locality, even though there is
> no other job running on the cluster.
> I adopted a 7 node (1 master, 6 data nodes/node managers) cluster and set 2x
> replication for HDFS. In the experiments, I run Spark/MapReduce wordcount on
> YARN for 10 times with a single data block. The results show that only 30% of
> tasks can achieve data locality, it seems like random in the placement of
> tasks. the experiment details are in the attachment, you can reproduce the
> experiments.
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