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https://issues.apache.org/jira/browse/HDFS-10967?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Zhe Zhang updated HDFS-10967:
-----------------------------
    Description: 
Large production clusters are likely to have heterogeneous nodes in terms of 
storage capacity, memory, and CPU cores. It is not always possible to 
proportionally ingest data into DataNodes based on their remaining storage 
capacity. Therefore it's possible for a subset of DataNodes to be much closer 
to full capacity than the rest.

This heterogeneity is most likely rack-by-rack -- i.e. _m_ whole racks of 
low-storage nodes and _n_ whole racks of high-storage nodes. So It'd be very 
useful if we can lower the chance for those near-full DataNodes to become 
destinations for the 2nd and 3rd replicas.

  was:
Large production clusters are likely to have heterogeneous nodes in terms of 
storage capacity, memory, and CPU cores. It is not always possible to 
proportionally ingest data into DataNodes based on their remaining storage 
capacity. Therefore it's possible for a subset of DataNodes to be much closer 
to full capacity than the rest.

This heterogeneity is most likely rack-by-rack -- i.e. _m_ whole racks with 
low-storage nodes and _n_ whole racks with high-storage nodes. So It'd be very 
useful if we can lower the chance for those near-full DataNodes to become 
destinations for the 2nd and 3rd replicas.


> Add configuration for BlockPlacementPolicy to avoid near-full DataNodes
> -----------------------------------------------------------------------
>
>                 Key: HDFS-10967
>                 URL: https://issues.apache.org/jira/browse/HDFS-10967
>             Project: Hadoop HDFS
>          Issue Type: Improvement
>          Components: namenode
>            Reporter: Zhe Zhang
>              Labels: balancer
>
> Large production clusters are likely to have heterogeneous nodes in terms of 
> storage capacity, memory, and CPU cores. It is not always possible to 
> proportionally ingest data into DataNodes based on their remaining storage 
> capacity. Therefore it's possible for a subset of DataNodes to be much closer 
> to full capacity than the rest.
> This heterogeneity is most likely rack-by-rack -- i.e. _m_ whole racks of 
> low-storage nodes and _n_ whole racks of high-storage nodes. So It'd be very 
> useful if we can lower the chance for those near-full DataNodes to become 
> destinations for the 2nd and 3rd replicas.



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