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ASF GitHub Bot logged work on HDFS-16438: ----------------------------------------- Author: ASF GitHub Bot Created on: 27/Jan/22 02:47 Start Date: 27/Jan/22 02:47 Worklog Time Spent: 10m Work Description: tomscut commented on pull request #3928: URL: https://github.com/apache/hadoop/pull/3928#issuecomment-1022794357 Thanks @sodonnel for your comments and detailed explanations. I'm sorry I said the wrong number 5M, we have more than 10 million blocks per node, and 20 disks, so more than 500,000 blocks per storage. Your explanation makes sense to me. During `scanDatanodeStorage`, there is `listRemove` behavior at the same time, so there will indeed be inconsistency. Can we copy the blocks of each storage to a `list` first? This is a lightweight operation. Then scan the `list` and release the lock once for part of scan to reduce the lock holding time. After scan, clear the `list`. Do you think this is feasible? -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: common-issues-unsubscr...@hadoop.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org Issue Time Tracking ------------------- Worklog Id: (was: 716166) Time Spent: 1.5h (was: 1h 20m) > Avoid holding read locks for a long time when scanDatanodeStorage > ----------------------------------------------------------------- > > Key: HDFS-16438 > URL: https://issues.apache.org/jira/browse/HDFS-16438 > Project: Hadoop HDFS > Issue Type: Improvement > Reporter: tomscut > Assignee: tomscut > Priority: Major > Labels: pull-request-available > Attachments: image-2022-01-25-23-18-30-275.png > > Time Spent: 1.5h > Remaining Estimate: 0h > > At the time of decommission, if use {*}DatanodeAdminBackoffMonitor{*}, there > is a heavy operation: {*}scanDatanodeStorage{*}. If the number of blocks on a > storage is large(more than 5 hundred thousand), and GC performance is also > poor, it may hold *read lock* for a long time, we should optimize it. > !image-2022-01-25-23-18-30-275.png|width=764,height=193! > {code:java} > 2021-12-22 07:49:01,279 INFO namenode.FSNamesystem > (FSNamesystemLock.java:readUnlock(220)) - FSNamesystem scanDatanodeStorage > read lock held for 5491 ms via > java.lang.Thread.getStackTrace(Thread.java:1552) > org.apache.hadoop.util.StringUtils.getStackTrace(StringUtils.java:1032) > org.apache.hadoop.hdfs.server.namenode.FSNamesystemLock.readUnlock(FSNamesystemLock.java:222) > org.apache.hadoop.hdfs.server.namenode.FSNamesystem.readUnlock(FSNamesystem.java:1641) > org.apache.hadoop.hdfs.server.blockmanagement.DatanodeAdminBackoffMonitor.scanDatanodeStorage(DatanodeAdminBackoffMonitor.java:646) > org.apache.hadoop.hdfs.server.blockmanagement.DatanodeAdminBackoffMonitor.checkForCompletedNodes(DatanodeAdminBackoffMonitor.java:417) > org.apache.hadoop.hdfs.server.blockmanagement.DatanodeAdminBackoffMonitor.check(DatanodeAdminBackoffMonitor.java:300) > org.apache.hadoop.hdfs.server.blockmanagement.DatanodeAdminBackoffMonitor.run(DatanodeAdminBackoffMonitor.java:201) > java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) > java.util.concurrent.FutureTask.runAndReset(FutureTask.java:308) > java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:180) > java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:294) > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > java.lang.Thread.run(Thread.java:745) > Number of suppressed read-lock reports: 0 > Longest read-lock held interval: 5491 {code} -- This message was sent by Atlassian Jira (v8.20.1#820001) --------------------------------------------------------------------- To unsubscribe, e-mail: hdfs-issues-unsubscr...@hadoop.apache.org For additional commands, e-mail: hdfs-issues-h...@hadoop.apache.org