tomscut created HDFS-16158:
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Summary: Discover datanodes with unbalanced volume usage by the
standard deviation
Key: HDFS-16158
URL: https://issues.apache.org/jira/browse/HDFS-16158
Project: Hadoop HDFS
Issue Type: New Feature
Reporter: tomscut
Assignee: tomscut
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.
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