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Kai Zheng commented on HDFS-11882: ---------------------------------- Thanks [~ajisakaa] for the clarifying. I guessed the wrong EC schema :(. bq. If DN9 and 10 are failing, getNumAckedStripes() will return 2, and ackedBytes will become 2 * 10 cells. (The number 10 comes from 10 + 4 schema) The block layouts as follows. So in this case, the returned acked stripes {{2}} is correct, but then the acked bytes calculated as 2 * 10 was wrong, because it didn't reflect the fact that in the 1st stripe actually there were 2 data cells located in D9~10 failed. Am I correct? {noformat} D1 D2 D3 D4 D5 D6 D7 D8 D9 D10 D11 D12 D13 D14 D D D D D D D D D D P P P P D D D D D D D D P P P P {noformat} If above sounds good, then {{getNumAckedStripes}} should be replaced with something like {{getNumAckedCells}} because the latter will be more accurate. I haven't looked into the provided patches here yet and just wanted to understand the question first: **why acked bytes size is greater than the bytes sent**, like asked by [~zhz] previously. > Client fails if acknowledged size is greater than bytes sent > ------------------------------------------------------------ > > Key: HDFS-11882 > URL: https://issues.apache.org/jira/browse/HDFS-11882 > Project: Hadoop HDFS > Issue Type: Bug > Components: erasure-coding, test > Reporter: Akira Ajisaka > Assignee: Akira Ajisaka > Priority: Critical > Labels: hdfs-ec-3.0-must-do > Attachments: HDFS-11882.01.patch, HDFS-11882.02.patch, > HDFS-11882.03.patch, HDFS-11882.regressiontest.patch > > > Some tests of erasure coding fails by the following exception. The following > test was removed by HDFS-11823, however, this type of error can happen in > real cluster. > {noformat} > Running > org.apache.hadoop.hdfs.TestDFSRSDefault10x4StripedOutputStreamWithFailure > Tests run: 14, Failures: 0, Errors: 1, Skipped: 10, Time elapsed: 89.086 sec > <<< FAILURE! - in > org.apache.hadoop.hdfs.TestDFSRSDefault10x4StripedOutputStreamWithFailure > testMultipleDatanodeFailure56(org.apache.hadoop.hdfs.TestDFSRSDefault10x4StripedOutputStreamWithFailure) > Time elapsed: 38.831 sec <<< ERROR! > java.lang.IllegalStateException: null > at > com.google.common.base.Preconditions.checkState(Preconditions.java:129) > at > org.apache.hadoop.hdfs.DFSStripedOutputStream.updatePipeline(DFSStripedOutputStream.java:780) > at > org.apache.hadoop.hdfs.DFSStripedOutputStream.checkStreamerFailures(DFSStripedOutputStream.java:664) > at > org.apache.hadoop.hdfs.DFSStripedOutputStream.closeImpl(DFSStripedOutputStream.java:1034) > at > org.apache.hadoop.hdfs.DFSOutputStream.close(DFSOutputStream.java:842) > at > org.apache.hadoop.fs.FSDataOutputStream$PositionCache.close(FSDataOutputStream.java:72) > at > org.apache.hadoop.fs.FSDataOutputStream.close(FSDataOutputStream.java:101) > at > org.apache.hadoop.hdfs.TestDFSStripedOutputStreamWithFailure.runTest(TestDFSStripedOutputStreamWithFailure.java:472) > at > org.apache.hadoop.hdfs.TestDFSStripedOutputStreamWithFailure.runTestWithMultipleFailure(TestDFSStripedOutputStreamWithFailure.java:381) > at > org.apache.hadoop.hdfs.TestDFSStripedOutputStreamWithFailure.testMultipleDatanodeFailure56(TestDFSStripedOutputStreamWithFailure.java:245) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:498) > at > org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:47) > at > org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:12) > at > org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:44) > at > org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:17) > at > org.junit.internal.runners.statements.FailOnTimeout$StatementThread.run(FailOnTimeout.java:74) > {noformat} -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: hdfs-issues-unsubscr...@hadoop.apache.org For additional commands, e-mail: hdfs-issues-h...@hadoop.apache.org