tomscut opened a new pull request #3288:
URL: https://github.com/apache/hadoop/pull/3288


   JIRA: [HDFS-16158](https://issues.apache.org/jira/browse/HDFS-16158)
   
   Discover datanodes with unbalanced volume usage by the standard deviation
   
   In some scenarios, we may cause unbalanced datanode disk usage:
   1. Repair the damaged disk and make it online again.
   2. Add disks to some Datanodes.
   3. Some disks are damaged, resulting in slow data writing.
   4. Use some custom volume choosing policies.
   
   In the case of unbalanced disk usage, a sudden increase in datanode write 
traffic may result in busy disk I/O with low volume usage, resulting in 
decreased throughput across datanodes.
   
   In this case, we need to find these nodes in time to do diskBalance, or 
other processing. Based on the volume usage of each datanode, we can calculate 
the standard deviation of the volume usage. The more unbalanced the volume, the 
higher the standard deviation.
   
   To prevent the namenode from being too busy, we can calculate the standard 
variance on the datanode side, transmit it to the namenode through heartbeat, 
and display the result on the Web of namenode. We can then sort directly to 
find the nodes on the Web where the volumes usages are unbalanced.
   
   
![namenode-web](https://user-images.githubusercontent.com/55134131/128893408-14685fac-25bf-4661-9f28-6978052baaba.jpg)
   
   


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