[jira] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[ https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17849219#comment-17849219 ] Chenyu Zheng commented on HDFS-15186: - [~ruilaing] If zero block is involved in the reconstruction, it cannot be restored. If zero block is not involved in the reconstruction, you can just delete this replica! You can apply this. Then you can apply HADOOP-19180, HADOOP-19180 solved the problem of reconstruction fundamentally. > 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. > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: hdfs-issues-unsubscr...@hadoop.apache.org For additional commands, e-mail: hdfs-issues-h...@hadoop.apache.org
[jira] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[
https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17849217#comment-17849217
]
ruiliang commented on HDFS-15186:
-
I have confirmed the EC corrupt file, can this corrupt file be restored?
Have important data that is causing us production data loss issues? Is there a
way to recover
corrupt;/file;corrupt block groups \{blk_-xx} zeroParityBlockGroups
\{blk_-xx[blk_-xx]}
hdfs version 3.1.0
> 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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[jira] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[ https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17846211#comment-17846211 ] Chenyu Zheng commented on HDFS-15186: - Hi, all. I reproduce the problem of ec algorithm which is described in HDFS-17521. Would you mind taking a look at HDFS-17521? > 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. > -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: hdfs-issues-unsubscr...@hadoop.apache.org For additional commands, e-mail: hdfs-issues-h...@hadoop.apache.org
[jira] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[ https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17046923#comment-17046923 ] 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. > -- 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] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[ https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17046900#comment-17046900 ] Ayush Saxena commented on HDFS-15186: - Committed to trunk. Thanx [~yaoguangdong] for the contributon, [~ferhui] and [~weichiu] for the reveiws!!! Will cherry-pick this post HDFS-14768 > 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 > 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. > -- 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] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[ https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17046896#comment-17046896 ] Ayush Saxena commented on HDFS-15186: - v005 LGTM +1 > 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 > 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. > -- 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] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[
https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17046318#comment-17046318
]
Hadoop QA commented on HDFS-15186:
--
| (x) *{color:red}-1 overall{color}* |
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|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | {color:blue} reexec {color} | {color:blue} 0m
52s{color} | {color:blue} Docker mode activated. {color} |
|| || || || {color:brown} Prechecks {color} ||
| {color:green}+1{color} | {color:green} @author {color} | {color:green} 0m
0s{color} | {color:green} The patch does not contain any @author tags. {color} |
| {color:green}+1{color} | {color:green} test4tests {color} | {color:green} 0m
0s{color} | {color:green} The patch appears to include 1 new or modified test
files. {color} |
|| || || || {color:brown} trunk Compile Tests {color} ||
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 20m
51s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 1m
4s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} checkstyle {color} | {color:green} 0m
44s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} mvnsite {color} | {color:green} 1m
7s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} shadedclient {color} | {color:green}
16m 6s{color} | {color:green} branch has no errors when building and testing
our client artifacts. {color} |
| {color:green}+1{color} | {color:green} findbugs {color} | {color:green} 2m
58s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green} 0m
41s{color} | {color:green} trunk passed {color} |
|| || || || {color:brown} Patch Compile Tests {color} ||
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 1m
3s{color} | {color:green} the patch passed {color} |
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46s{color} | {color:green} the patch passed {color} |
|| || || || {color:brown} Other Tests {color} ||
| {color:red}-1{color} | {color:red} unit {color} | {color:red}123m 42s{color}
| {color:red} hadoop-hdfs in the patch passed. {color} |
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32s{color} | {color:green} The patch does not generate ASF License warnings.
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| {color:black}{color} | {color:black} {color} | {color:black}191m 41s{color} |
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|| Reason || Tests ||
| Failed junit tests | hadoop.hdfs.server.namenode.ha.TestBootstrapAliasmap |
| | hadoop.hdfs.server.namenode.ha.TestDFSUpgradeWithHA |
| | hadoop.hdfs.TestRollingUpgrade |
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|| Subsystem || Report/Notes ||
| Docker | Client=19.03.6 Server=19.03.6 Image:yetus/hadoop:c44943d1fc3 |
| JIRA Issue | HDFS-15186 |
| JIRA Patch URL |
https://issues.apache.org/jira/secure/attachment/12994727/HDFS-15186.005.patch |
| Optional Tests | dupname asflicense compile javac javadoc mvninstall
mvnsite unit shadedclient findbugs checkstyle |
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08:06:28 UTC 2019 x86_64 x86_64 x86_64 GNU/Linux |
| Build tool | maven |
| Personality | /testptch/patchprocess/precommit/personality/provided.sh |
| git revision | trunk / 7dfa37e |
| maven | version: Apache Maven 3.3.9 |
| Default Java | 1.8.0_242 |
| findbugs | v3.1.0-RC1 |
| unit |
https://builds.apache.org/job/PreCommit-HDFS-Build/28857/artifact/out/patch-unit-hadoop-hdfs-project_hadoop-hdfs.txt
|
| Test Results |
https://builds.apache.org/job/PreCommit-HDFS-Build/28857/testReport/ |
| Max. process+thread count | 2915 (vs. ulimit of 5500) |
| modules | C: hadoop-hdfs-project/hadoop-hdfs U:
hadoop-hdfs-project/hadoop-hdfs |
| Console output |
[jira] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[ https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17046298#comment-17046298 ] Fei Hui commented on HDFS-15186: +1 for HDFS-15186.005.patch. Failed tests are unrelated. > 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 > 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. > -- 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] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[
https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17046139#comment-17046139
]
Hadoop QA commented on HDFS-15186:
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0s{color} | {color:green} The patch appears to include 1 new or modified test
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| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 24m
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| {color:green}+1{color} | {color:green} compile {color} | {color:green} 1m
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| {color:red}-1{color} | {color:red} unit {color} | {color:red} 76m 53s{color}
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| {color:blue}0{color} | {color:blue} asflicense {color} | {color:blue} 0m
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| {color:black}{color} | {color:black} {color} | {color:black}152m 1s{color} |
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|| Reason || Tests ||
| Failed junit tests | hadoop.hdfs.TestEncryptedTransfer |
| | hadoop.hdfs.TestDFSShell |
| | hadoop.hdfs.TestFileChecksumCompositeCrc |
| | hadoop.hdfs.web.TestWebHDFS |
| | hadoop.hdfs.tools.TestWebHDFSStoragePolicyCommands |
| | hadoop.hdfs.TestDatanodeDeath |
| | hadoop.hdfs.TestReadStripedFileWithDecodingCorruptData |
| | hadoop.hdfs.TestDFSInotifyEventInputStreamKerberized |
| | hadoop.hdfs.TestDFSStripedOutputStreamWithFailureWithRandomECPolicy |
| | hadoop.hdfs.TestDecommissionWithBackoffMonitor |
| | hadoop.hdfs.TestDistributedFileSystem |
| |
hadoop.hdfs.tools.offlineImageViewer.TestOfflineImageViewerWithStripedBlocks |
| | hadoop.hdfs.TestEncryptionZonesWithKMS |
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|| Subsystem || Report/Notes ||
| Docker | Client=19.03.6 Server=19.03.6 Image:yetus/hadoop:c44943d1fc3 |
| JIRA Issue | HDFS-15186 |
| JIRA Patch URL |
https://issues.apache.org/jira/secure/attachment/12994727/HDFS-15186.005.patch |
| Optional Tests | dupname asflicense compile javac javadoc mvninstall
mvnsite unit shadedclient findbugs checkstyle |
| uname | Linux cc28846c14cd 4.15.0-74-generic #84-Ubuntu SMP Thu Dec 19
08:06:28 UTC 2019 x86_64 x86_64 x86_64 GNU/Linux |
| Build tool | maven |
| Personality | /testptch/patchprocess/precommit/personality/provided.sh |
| git revision | trunk / 7dfa37e |
| maven |
[jira] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[ https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17046060#comment-17046060 ] Yao Guangdong commented on HDFS-15186: -- [~ayushtkn], Thanks for your remind. The checkstyle warnings have been fixed and updated. Please check it again. Thanks. > 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 > 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. > -- 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] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[ https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17045534#comment-17045534 ] Wei-Chiu Chuang commented on HDFS-15186: Thank you. The patch makes much more sense now. Now, I start to wonder if EC works well with maintenance mode ... but that's a separate topic. > 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 > Attachments: HDFS-15186.001.patch, HDFS-15186.002.patch, > HDFS-15186.003.patch, HDFS-15186.004.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. > -- 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] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[ https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17045475#comment-17045475 ] Ayush Saxena commented on HDFS-15186: - Thanx for the update. will give a check to the UT by tomorrow, Apart there are some checkstyle warnings. https://builds.apache.org/job/PreCommit-HDFS-Build/28846/artifact/out/diff-checkstyle-hadoop-hdfs-project_hadoop-hdfs.txt Please fix it. [~ferhui] [~weichiu] any further comments? > 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 > Attachments: HDFS-15186.001.patch, HDFS-15186.002.patch, > HDFS-15186.003.patch, HDFS-15186.004.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. > -- 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] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[
https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17045316#comment-17045316
]
Hadoop QA commented on HDFS-15186:
--
| (x) *{color:red}-1 overall{color}* |
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| {color:blue}0{color} | {color:blue} reexec {color} | {color:blue} 0m
54s{color} | {color:blue} Docker mode activated. {color} |
|| || || || {color:brown} Prechecks {color} ||
| {color:green}+1{color} | {color:green} @author {color} | {color:green} 0m
0s{color} | {color:green} The patch does not contain any @author tags. {color} |
| {color:green}+1{color} | {color:green} test4tests {color} | {color:green} 0m
0s{color} | {color:green} The patch appears to include 1 new or modified test
files. {color} |
|| || || || {color:brown} trunk Compile Tests {color} ||
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 20m
24s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 1m
2s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} checkstyle {color} | {color:green} 0m
43s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} mvnsite {color} | {color:green} 1m
8s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} shadedclient {color} | {color:green}
16m 19s{color} | {color:green} branch has no errors when building and testing
our client artifacts. {color} |
| {color:green}+1{color} | {color:green} findbugs {color} | {color:green} 2m
54s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green} 0m
40s{color} | {color:green} trunk passed {color} |
|| || || || {color:brown} Patch Compile Tests {color} ||
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 1m
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| {color:orange}-0{color} | {color:orange} checkstyle {color} | {color:orange}
0m 40s{color} | {color:orange} hadoop-hdfs-project/hadoop-hdfs: The patch
generated 7 new + 146 unchanged - 0 fixed = 153 total (was 146) {color} |
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|| || || || {color:brown} Other Tests {color} ||
| {color:red}-1{color} | {color:red} unit {color} | {color:red}112m 31s{color}
| {color:red} hadoop-hdfs in the patch passed. {color} |
| {color:green}+1{color} | {color:green} asflicense {color} | {color:green} 0m
32s{color} | {color:green} The patch does not generate ASF License warnings.
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| {color:black}{color} | {color:black} {color} | {color:black}179m 44s{color} |
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|| Reason || Tests ||
| Failed junit tests |
hadoop.hdfs.server.balancer.TestBalancerWithMultipleNameNodes |
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|| Subsystem || Report/Notes ||
| Docker | Client=19.03.6 Server=19.03.6 Image:yetus/hadoop:c44943d1fc3 |
| JIRA Issue | HDFS-15186 |
| JIRA Patch URL |
https://issues.apache.org/jira/secure/attachment/12994614/HDFS-15186.004.patch |
| Optional Tests | dupname asflicense compile javac javadoc mvninstall
mvnsite unit shadedclient findbugs checkstyle |
| uname | Linux db633da5043e 4.15.0-74-generic #84-Ubuntu SMP Thu Dec 19
08:06:28 UTC 2019 x86_64 x86_64 x86_64 GNU/Linux |
| Build tool | maven |
| Personality | /testptch/patchprocess/precommit/personality/provided.sh |
| git revision | trunk / 900430b |
| maven | version: Apache Maven 3.3.9 |
| Default Java | 1.8.0_242 |
| findbugs | v3.1.0-RC1 |
| checkstyle |
https://builds.apache.org/job/PreCommit-HDFS-Build/28846/artifact/out/diff-checkstyle-hadoop-hdfs-project_hadoop-hdfs.txt
|
| unit |
https://builds.apache.org/job/PreCommit-HDFS-Build/28846/artifact/out/patch-unit-hadoop-hdfs-project_hadoop-hdfs.txt
|
| Test Results |
https://builds.apache.org/job/PreCommit-HDFS-Build/28846/testReport/ |
| Max. process+thread count | 2815 (vs. ulimit of
[jira] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[
https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17045196#comment-17045196
]
Yao Guangdong commented on HDFS-15186:
--
[~ayushtkn], Thanks for your reply. That's weird that I reproduce the issue
every time when I use the latest code test it today. Finally, I added the
following code from HDFS-14768 to ensure the busy DN shouldn't be
reconstructed. Then I added a new path HDFS-15186.004.patch. Please check it
again. Thanks.
{code:java}
//7. Busy DN shouldn't be reconstructed
DatanodeStorageInfo[] newDnStorageInfos = bm.getStorages(firstBlock);
Assert.assertEquals("Busy DN shouldn't be reconstructed",
dnStorageInfos[busyDNIndex].getStorageID(),
newDnStorageInfos[busyDNIndex].getStorageID());{code}
> 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
> Attachments: HDFS-15186.001.patch, HDFS-15186.002.patch,
> HDFS-15186.003.patch, HDFS-15186.004.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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[jira] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[ https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17044560#comment-17044560 ] Ayush Saxena commented on HDFS-15186: - Thanx [~yaoguangdong] for the patch. The prod changes looks good. Give a check to the UT, that doesn't seems to be able to reproduce the issue. The UT passes without your fix too. GIve a check once > 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 > Attachments: HDFS-15186.001.patch, HDFS-15186.002.patch, > HDFS-15186.003.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. > -- 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] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[
https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17044312#comment-17044312
]
Hadoop QA commented on HDFS-15186:
--
| (x) *{color:red}-1 overall{color}* |
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\\
|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | {color:blue} reexec {color} | {color:blue} 0m
54s{color} | {color:blue} Docker mode activated. {color} |
|| || || || {color:brown} Prechecks {color} ||
| {color:green}+1{color} | {color:green} @author {color} | {color:green} 0m
0s{color} | {color:green} The patch does not contain any @author tags. {color} |
| {color:green}+1{color} | {color:green} test4tests {color} | {color:green} 0m
1s{color} | {color:green} The patch appears to include 1 new or modified test
files. {color} |
|| || || || {color:brown} trunk Compile Tests {color} ||
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 22m
26s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 1m
9s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} checkstyle {color} | {color:green} 0m
47s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} mvnsite {color} | {color:green} 1m
18s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} shadedclient {color} | {color:green}
16m 16s{color} | {color:green} branch has no errors when building and testing
our client artifacts. {color} |
| {color:green}+1{color} | {color:green} findbugs {color} | {color:green} 3m
10s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green} 0m
41s{color} | {color:green} trunk passed {color} |
|| || || || {color:brown} Patch Compile Tests {color} ||
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 1m
12s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 1m
5s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} javac {color} | {color:green} 1m
5s{color} | {color:green} the patch passed {color} |
| {color:orange}-0{color} | {color:orange} checkstyle {color} | {color:orange}
0m 43s{color} | {color:orange} hadoop-hdfs-project/hadoop-hdfs: The patch
generated 7 new + 145 unchanged - 0 fixed = 152 total (was 145) {color} |
| {color:green}+1{color} | {color:green} mvnsite {color} | {color:green} 1m
14s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} whitespace {color} | {color:green} 0m
0s{color} | {color:green} The patch has no whitespace issues. {color} |
| {color:green}+1{color} | {color:green} shadedclient {color} | {color:green}
14m 15s{color} | {color:green} patch has no errors when building and testing
our client artifacts. {color} |
| {color:green}+1{color} | {color:green} findbugs {color} | {color:green} 3m
15s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green} 0m
42s{color} | {color:green} the patch passed {color} |
|| || || || {color:brown} Other Tests {color} ||
| {color:red}-1{color} | {color:red} unit {color} | {color:red}127m 33s{color}
| {color:red} hadoop-hdfs in the patch passed. {color} |
| {color:green}+1{color} | {color:green} asflicense {color} | {color:green} 0m
48s{color} | {color:green} The patch does not generate ASF License warnings.
{color} |
| {color:black}{color} | {color:black} {color} | {color:black}197m 29s{color} |
{color:black} {color} |
\\
\\
|| Reason || Tests ||
| Failed junit tests | hadoop.hdfs.server.blockmanagement.TestBlockStatsMXBean |
| | hadoop.hdfs.server.namenode.ha.TestAddBlockTailing |
| | hadoop.hdfs.server.datanode.TestNNHandlesBlockReportPerStorage |
| | hadoop.hdfs.server.balancer.TestBalancer |
\\
\\
|| Subsystem || Report/Notes ||
| Docker | Client=19.03.6 Server=19.03.6 Image:yetus/hadoop:c44943d1fc3 |
| JIRA Issue | HDFS-15186 |
| JIRA Patch URL |
https://issues.apache.org/jira/secure/attachment/12994484/HDFS-15186.003.patch |
| Optional Tests | dupname asflicense compile javac javadoc mvninstall
mvnsite unit shadedclient findbugs checkstyle |
| uname | Linux 7dcf657cee1b 4.15.0-74-generic #84-Ubuntu SMP Thu Dec 19
08:06:28 UTC 2019 x86_64 x86_64 x86_64 GNU/Linux |
| Build tool | maven |
| Personality | /testptch/patchprocess/precommit/personality/provided.sh |
| git revision | trunk / dda00d3 |
| maven | version: Apache Maven 3.3.9 |
| Default Java | 1.8.0_242 |
| findbugs | v3.1.0-RC1 |
| checkstyle |
https://builds.apache.org/job/PreCommit-HDFS-Build/28839/artifact/out/diff-checkstyle-hadoop-hdfs-project_hadoop-hdfs.txt
|
| unit |
[jira] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[ https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17044148#comment-17044148 ] Yao Guangdong commented on HDFS-15186: -- [~ferhui]， Thanks for your review and advice. I have been fixed it. Please check it again. > 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 > Attachments: HDFS-15186.001.patch, HDFS-15186.002.patch, > HDFS-15186.003.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. > -- 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] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[
https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17044123#comment-17044123
]
Fei Hui commented on HDFS-15186:
[~yaoguangdong] Thanks for your patch
HDFS-15186.002.patch the whole fix looks good. Minor comments
{quote}
+//4. wait for decommissioning and not busy block to replicate
+Thread.sleep(3000);
{quote}
Here maybe it will be good that GenericTestUtils.waitFor instead of it.
> 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
> Attachments: HDFS-15186.001.patch, HDFS-15186.002.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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[jira] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[ https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17044085#comment-17044085 ] Yao Guangdong commented on HDFS-15186: -- [~ferhui], [~ayushtkn], [~gjhkael], [~marvelrock], I have been fixed it in namenode side and add a new patch HDFS-15186.002.patch. Could you have time to review it. Thanks. > 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 > Attachments: HDFS-15186.001.patch, HDFS-15186.002.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. > -- 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] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[ https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17043360#comment-17043360 ] Yao Guangdong commented on HDFS-15186: -- [~ayushtkn], Thank you very much. I will fix it as soon as possible. :D > 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 > Attachments: HDFS-15186.001.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. > -- 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] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[ https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17043353#comment-17043353 ] Ayush Saxena commented on HDFS-15186: - [~yaoguangdong] he hasn't fixed this problem, he fixed a similar problem, where the live node was busy, In your problem decommissioning node is busy. You can similarly fix this problem as HDFS-14768 did for live busy nodes here. > 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 > Attachments: HDFS-15186.001.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. > -- 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] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[ https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17043286#comment-17043286 ] Yao Guangdong commented on HDFS-15186: -- [~ayushtkn], OK. Thanks for your reply. [~gjhkael] had been fixed it in namenode side by HDFS-14768 . I think this is duplicated. You can close it. > 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 > Attachments: HDFS-15186.001.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. > -- 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] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[ https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17043266#comment-17043266 ] Ayush Saxena commented on HDFS-15186: - Decommissioning taking time is another aspect, we can't mix it here. we can't directly compare EC with 3X rep, both have their pros and cons. May be we can track that and discuss the decommissioning taking time issue separately. > 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 > Attachments: HDFS-15186.001.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. > -- 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] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[ https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17043133#comment-17043133 ] Yao Guangdong commented on HDFS-15186: -- [~ferhui], [~ayushtkn], [~gjhkael] Thanks for yours patient review. I agree with yours point that fix it in namenode side. I have a suspicion. We can copy blocks from others DN in 3 replica mode when we decommission DN and the decommissioning DN is busy. But, we only can copy blocks from the decommissioning DN in ec mode if we don't reconstruct it. The time we cost in decommission is 69 hours (100W / 4 / 3600 = 69 hours) if we have 100W blocks in one DN and the cost time we copy a block is one second and the hard limit is default 4. Which will make the speed of decommission very slow if we copy all blocks from decommission DN and we add decommissioning busy replica into live replica check? Is my comprehend right? > 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 > Attachments: HDFS-15186.001.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. > -- 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] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[ https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17043125#comment-17043125 ] guojh commented on HDFS-15186: -- [~ayushtkn] This problem can fixed in namenode side, I have the same problem that fixed by [HDFS-14768|https://issues.apache.org/jira/browse/HDFS-14768] > 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 > Attachments: HDFS-15186.001.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. > -- 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] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[ https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17042780#comment-17042780 ] Fei Hui commented on HDFS-15186: [~yaoguangdong]Thanks for reporting this !Good Catch! Sorry for late, I couldn't receive emails these days! +1 for [~ayushtkn] suggestions. I thinks indice[6] is not in liveindcies and busyindices, this cause this problem. Maybe we should fix it in namenode side. > 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 > Attachments: HDFS-15186.001.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. > -- 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] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[ https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17042472#comment-17042472 ] Yao Guangdong commented on HDFS-15186: -- [~ayushtkn], Yes, you are right. The major reason of the problem is from namenode.We also need to check the logic at HDFS-14768. But, as i said in the description, the case is too much, even some we don't know it. The data is very important in the production. We can't accept any data errors.So i think we could add this patch enhance the data security.And i also suggest that we need to increase the fault tolerance for ec algorithm. What do you think? > 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 > Attachments: HDFS-15186.001.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. > -- 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] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[ https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17042458#comment-17042458 ] Ayush Saxena commented on HDFS-15186: - HDFS-14768 tend to make a busy live DN to be considered for live replica check. Seems the Decommissioning busy replica should also be included for the live replica check. > 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 > Attachments: HDFS-15186.001.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. > -- 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] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[ https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17042403#comment-17042403 ] Ayush Saxena commented on HDFS-15186: - Shouldn't we fix, this at namenode side? The ErasureCodingTask sent should itself contain correct info, rather than Datanode, correcting it? Need to check the logic at HDFS-14768 [~gjhkael] would you like to give a check too? > 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 > Attachments: HDFS-15186.001.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. > -- 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] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[ https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17041319#comment-17041319 ] Wei-Chiu Chuang commented on HDFS-15186: [~ferhui] would you be interested in reviewing this patch? You've fixed a number of critical EC decomm bugs in the past. Thanks. > 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 > Attachments: HDFS-15186.001.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. > -- 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] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[ https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17041306#comment-17041306 ] Wei-Chiu Chuang commented on HDFS-15186: [~avijayan] could you take a look at the patch? Or [~ayushtkn] please > 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 > Attachments: HDFS-15186.001.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. > -- 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] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
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https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17040973#comment-17040973
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Hadoop QA commented on HDFS-15186:
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7s{color} | {color:green} trunk passed {color} |
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40s{color} | {color:green} trunk passed {color} |
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3s{color} | {color:green} the patch passed {color} |
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| Failed junit tests | hadoop.hdfs.TestDeadNodeDetection |
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| Docker | Client=19.03.6 Server=19.03.6 Image:yetus/hadoop:c44943d1fc3 |
| JIRA Issue | HDFS-15186 |
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https://issues.apache.org/jira/secure/attachment/12993977/HDFS-15186.001.patch |
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https://builds.apache.org/job/PreCommit-HDFS-Build/28813/testReport/ |
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[jira] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[ https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17040794#comment-17040794 ] Yao Guangdong commented on HDFS-15186: -- Added the initial patch. Please check it once. [~weichiu] PTAL > 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 >Priority: Critical > Fix For: 3.3.0 > > Attachments: HDFS-15186.001.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. > -- 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] [Commented] (HDFS-15186) Erasure Coding: Decommission may generate the parity block's content with all 0 in some case
[ https://issues.apache.org/jira/browse/HDFS-15186?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17040767#comment-17040767 ] HuangTao commented on HDFS-15186: - In our production, we meet same issue, and I have discussed with [~yaoguangdong] about this offline. [~weichiu] PTAL > 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 >Priority: Critical > Fix For: 3.3.0 > > > 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. > -- 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
