[jira] [Comment Edited] (HDFS-15618) Improve datanode shutdown latency
[ https://issues.apache.org/jira/browse/HDFS-15618?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17216873#comment-17216873 ] Ahmed Hussein edited comment on HDFS-15618 at 10/19/20, 4:31 PM: - Those are Jiras filed for the failing test cases. HDFS-15461: TestDFSClientRetries#testGetFileChecksum fails intermittently HDFS-15643: TestFileChecksumCompositeCrc fails on trunk HDFS-15308: TestReconstructStripedFile.testNNSendsErasureCodingTasks is flaky HDFS-12449: TestReconstructStripedFile.testNNSendsErasureCodingTasks randomly cannot finish in 60s HADOOP-16780: Track unstable tests according to aarch CI due to OOM . It seems this Mira should be reopened. was (Author: ahussein): Those are liras filed for the failing test cases. HDFS-15461: TestDFSClientRetries#testGetFileChecksum fails intermittently HDFS-15643: TestFileChecksumCompositeCrc fails on trunk HDFS-15308: TestReconstructStripedFile.testNNSendsErasureCodingTasks is flaky HDFS-12449: TestReconstructStripedFile.testNNSendsErasureCodingTasks randomly cannot finish in 60s HADOOP-16780: Track unstable tests according to aarch CI due to OOM . It seems this Mira should be reopened. > Improve datanode shutdown latency > - > > Key: HDFS-15618 > URL: https://issues.apache.org/jira/browse/HDFS-15618 > Project: Hadoop HDFS > Issue Type: Bug > Components: datanode >Reporter: Ahmed Hussein >Assignee: Ahmed Hussein >Priority: Major > Attachments: HDFS-15618.001.patch, HDFS-15618.002.patch, > HDFS-15618.003.patch, HDFS-15618.004.patch > > > The shutdown of Datanode is a very long latency. A block scanner waits for 5 > minutes to join on each VolumeScanner thread. > Since the scanners are daemon threads and do not alter the block content, it > is safe to ignore such conditions on shutdown of Datanode. -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: hdfs-issues-unsubscr...@hadoop.apache.org For additional commands, e-mail: hdfs-issues-h...@hadoop.apache.org
[jira] [Comment Edited] (HDFS-15618) Improve datanode shutdown latency
[ https://issues.apache.org/jira/browse/HDFS-15618?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17211046#comment-17211046 ] Ahmed Hussein edited comment on HDFS-15618 at 10/9/20, 2:23 PM: I added a configuration key {{dfs.block.scanner.volume.join.timeout.ms}} that controls the duration the thread times out waiting to join on a {{VolumeScanner}} thread. This value is only used within {{BlockScanner.removeAllVolumeScanners()}}. This parameter can be used to switch between "fast mode" vs "slow mode". A small value guarantees that the {{Datanode}} will proceed to shutdown without waiting for the {{VolumeScanner}} to finish. The default value is set to 1 minute. I tried setting the default value to 500 ms but that would break some test cases that are expecting some timely behavior. was (Author: ahussein): I added a configuration key {{dfs.block.scanner.volume.join.timeout.ms}} that controls the duration the thread times out waiting to join on a {{VolumeScanner}} thread. This value is only used within {{BlockScanner.removeAllVolumeScanners()}}. This parameter can be used to switch between "fast mode" vs "slow mode". A small value guarantees that the {{Datanode}} will proceed to shutdown without waiting for the {{VolumeScanner}} to finish. > Improve datanode shutdown latency > - > > Key: HDFS-15618 > URL: https://issues.apache.org/jira/browse/HDFS-15618 > Project: Hadoop HDFS > Issue Type: Bug > Components: datanode >Reporter: Ahmed Hussein >Assignee: Ahmed Hussein >Priority: Major > Attachments: HDFS-15618.001.patch > > > The shutdown of Datanode is a very long latency. A block scanner waits for 5 > minutes to join on each VolumeScanner thread. > Since the scanners are daemon threads and do not alter the block content, it > is safe to ignore such conditions on shutdown of Datanode. -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: hdfs-issues-unsubscr...@hadoop.apache.org For additional commands, e-mail: hdfs-issues-h...@hadoop.apache.org