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https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17046923#comment-17046923
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Hudson commented on HDFS-15186:
-------------------------------
SUCCESS: Integrated in Jenkins build Hadoop-trunk-Commit #18006 (See
[https://builds.apache.org/job/Hadoop-trunk-Commit/18006/])
HDFS-15186. Erasure Coding: Decommission may generate the parity block's
(ayushsaxena: rev 429da635ec70f9abe5ab71e24c9f2eec0aa36e18)
* (edit)
hadoop-hdfs-project/hadoop-hdfs/src/main/java/org/apache/hadoop/hdfs/server/blockmanagement/BlockManager.java
* (edit)
hadoop-hdfs-project/hadoop-hdfs/src/test/java/org/apache/hadoop/hdfs/TestDecommissionWithStriped.java
* (edit)
hadoop-hdfs-project/hadoop-hdfs/src/main/java/org/apache/hadoop/hdfs/server/blockmanagement/DatanodeDescriptor.java
> Erasure Coding: Decommission may generate the parity block's content with all
> 0 in some case
> --------------------------------------------------------------------------------------------
>
> Key: HDFS-15186
> URL: https://issues.apache.org/jira/browse/HDFS-15186
> Project: Hadoop HDFS
> Issue Type: Bug
> Components: datanode, erasure-coding
> Affects Versions: 3.0.3, 3.2.1, 3.1.3
> Reporter: Yao Guangdong
> Assignee: Yao Guangdong
> Priority: Critical
> Fix For: 3.3.0
>
> Attachments: HDFS-15186.001.patch, HDFS-15186.002.patch,
> HDFS-15186.003.patch, HDFS-15186.004.patch, HDFS-15186.005.patch
>
>
> I can find some parity block's content with all 0 when i decommission some
> DataNode(more than 1) from a cluster. And the probability is very big(parts
> per thousand).This is a big problem.You can think that if we read data from
> the zero parity block or use the zero parity block to recover a block which
> can make us use the error data even we don't know it.
> There is some case in the below:
> B: Busy DataNode,
> D:Decommissioning DataNode,
> Others is normal.
> 1.Group indices is [0, 1, 2, 3, 4, 5, 6(B,D), 7, 8(D)].
> 2.Group indices is [0(B,D), 1, 2, 3, 4, 5, 6(B,D), 7, 8(D)].
> ....
> In the first case when the block group indices is [0, 1, 2, 3, 4, 5, 6(B,D),
> 7, 8(D)], the DN may received reconstruct block command and the
> liveIndices=[0, 1, 2, 3, 4, 5, 7, 8] and the targets's(the field which in
> the class StripedReconstructionInfo) length is 2.
> The targets's length is 2 which mean that the DataNode need recover 2
> internal block in current code.But from the liveIndices we only can find 1
> missing block, so the method StripedWriter#initTargetIndices will use 0 as
> the default recover block and don't care the indices 0 is in the sources
> indices or not.
> When they use sources indices [0, 1, 2, 3, 4, 5] to recover indices [6, 0]
> use the ec algorithm.We can find that the indices [0] is in the both the
> sources indices and the targets indices in this case. The returned target
> buffer in the indices [6] is always 0 from the ec algorithm.So I think this
> is the ec algorithm's problem. Because it should more fault tolerance.I try
> to fixed it .But it is too hard. Because the case is too more. The second is
> another case in the example above(use sources indices [1, 2, 3, 4, 5, 7] to
> recover indices [0, 6, 0]). So I changed my mind.Invoke the ec algorithm
> with a correct parameters. Which mean that remove the duplicate target
> indices 0 in this case.Finally, I fixed it in this way.
>
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