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https://issues.apache.org/jira/browse/HADOOP-1652?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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dhruba borthakur updated HADOOP-1652:
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Resolution: Fixed
Status: Resolved (was: Patch Available)
I just committed this. Thanks Hairong!
> Rebalance data blocks when new data nodes added or data nodes become full
> -------------------------------------------------------------------------
>
> Key: HADOOP-1652
> URL: https://issues.apache.org/jira/browse/HADOOP-1652
> Project: Hadoop
> Issue Type: New Feature
> Components: dfs
> Affects Versions: 0.13.0
> Reporter: Hairong Kuang
> Assignee: Hairong Kuang
> Fix For: 0.16.0
>
> Attachments: balancer.patch, balancer1.patch, balancer2.patch,
> balancer3.patch, balancer4.patch, balancer5.patch, balancer6.patch,
> balancer7.patch, balancer8.patch, BalancerAdminGuide.pdf,
> BalancerAdminGuide1.pdf, BalancerUserGuide2.pdf, RebalanceDesign4.pdf,
> RebalanceDesign5.pdf, RebalanceDesign6.pdf
>
>
> When a new data node joins hdfs cluster, it does not hold much data. So any
> map task assigned to the machine most likely does not read local data, thus
> increasing the use of network bandwidth. On the other hand, when some data
> nodes become full, new data blocks are placed on only non-full data nodes,
> thus reducing their read parallelism.
> This jira aims to find an approach to redistribute data blocks when imbalance
> occurs in the cluster. An solution should meet the following requirements:
> 1. It maintains data availablility guranteens in the sense that rebalancing
> does not reduce the number of replicas that a block has or the number of
> racks that the block resides.
> 2. An adminstrator should be able to invoke and interrupt rebalancing from a
> command line.
> 3. Rebalancing should be throttled so that rebalancing does not cause a
> namenode to be too busy to serve any incoming request or saturate the network.
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