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https://issues.apache.org/jira/browse/HDFS-17484?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17839524#comment-17839524
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ASF GitHub Bot commented on HDFS-17484:
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hfutatzhanghb opened a new pull request, #6758:
URL: https://github.com/apache/hadoop/pull/6758

   ### Description of PR
   Refer to HDFS-17484.
   
   Currently, we have `dfs.namenode.redundancy.considerLoad` equals true by 
default, and 
   
   dfs.namenode.redundancy.considerLoad.factor equals 2.0 by default.
   
   Think about below situation. when we are doing stress test, we may deploy 
hdfs client onto the datanode. So, this hdfs client will prefer to write to its 
local datanode and increase this machine's load.  Suppose we have 3 datanodes, 
the load of them are as below:  5.0, 0.2, 0.3.
   
   The load equals to 5.0 will be excluded when choose datanodes for a block. 
But actually, it is not slow node when load equals to 5.0 for a machine with 80 
cpu cores.
   
   So, we should better add a new configuration entry :  
`dfs.namenode.redundancy.considerLoad.minLoad` to indicate the mininum factor 
we will make considerLoad take effect.
   
   ### How was this patch tested?
   Add an unit test.
   




> Introduce redundancy.considerLoad.minLoad to avoiding excluding nodes when 
> they are not busy actually
> -----------------------------------------------------------------------------------------------------
>
>                 Key: HDFS-17484
>                 URL: https://issues.apache.org/jira/browse/HDFS-17484
>             Project: Hadoop HDFS
>          Issue Type: Improvement
>          Components: namenode
>    Affects Versions: 3.4.0
>            Reporter: farmmamba
>            Assignee: farmmamba
>            Priority: Minor
>
> Currently, we have `dfs.namenode.redundancy.considerLoad` equals true by 
> default, and 
> dfs.namenode.redundancy.considerLoad.factor equals 2.0 by default.
> Think about below situation. when we are doing stress test, we may deploy 
> hdfs client onto the datanode. So, this hdfs client will prefer to write to 
> its local datanode and increase this machine's load.  Suppose we have 3 
> datanodes, the load of them are as below:  5.0, 0.2, 0.3.
>  
> The load equals to 5.0 will be excluded when choose datanodes for a block. 
> But actually, it is not slow node when load equals to 5.0 for a machine with 
> 80 cpu cores.
>  
> So, we should better add a new configuration entry :  
> `dfs.namenode.redundancy.considerLoad.minLoad` to indicate the mininum factor 
> we will make considerLoad take effect.



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