tomscut created HDFS-16158: ------------------------------ 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. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: hdfs-dev-unsubscr...@hadoop.apache.org For additional commands, e-mail: hdfs-dev-h...@hadoop.apache.org