[jira] [Resolved] (HDFS-17405) [FGL] Using different metric name to trace FGL and Global lock

2024-03-05 Thread Hui Fei (Jira)


 [ 
https://issues.apache.org/jira/browse/HDFS-17405?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Hui Fei resolved HDFS-17405.

Resolution: Fixed

> [FGL] Using different metric name to trace FGL and Global lock
> --
>
> Key: HDFS-17405
> URL: https://issues.apache.org/jira/browse/HDFS-17405
> Project: Hadoop HDFS
>  Issue Type: Sub-task
>Reporter: ZanderXu
>Assignee: ZanderXu
>Priority: Major
>  Labels: pull-request-available
>
> Currently, Fine-grained locks and global lock are using the same metric name 
> to trace its performance, so we need to different them.



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[jira] [Commented] (HDFS-17405) [FGL] Using different metric name to trace FGL and Global lock

2024-03-05 Thread ASF GitHub Bot (Jira)


[ 
https://issues.apache.org/jira/browse/HDFS-17405?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17823883#comment-17823883
 ] 

ASF GitHub Bot commented on HDFS-17405:
---

ferhui commented on PR #6600:
URL: https://github.com/apache/hadoop/pull/6600#issuecomment-1980230785

   Failed cases are unrelated.




> [FGL] Using different metric name to trace FGL and Global lock
> --
>
> Key: HDFS-17405
> URL: https://issues.apache.org/jira/browse/HDFS-17405
> Project: Hadoop HDFS
>  Issue Type: Sub-task
>Reporter: ZanderXu
>Assignee: ZanderXu
>Priority: Major
>  Labels: pull-request-available
>
> Currently, Fine-grained locks and global lock are using the same metric name 
> to trace its performance, so we need to different them.



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[jira] [Commented] (HDFS-17405) [FGL] Using different metric name to trace FGL and Global lock

2024-03-05 Thread ASF GitHub Bot (Jira)


[ 
https://issues.apache.org/jira/browse/HDFS-17405?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17823880#comment-17823880
 ] 

ASF GitHub Bot commented on HDFS-17405:
---

hadoop-yetus commented on PR #6600:
URL: https://github.com/apache/hadoop/pull/6600#issuecomment-1980222696

   :broken_heart: **-1 overall**
   
   
   
   
   
   
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[/patch-unit-hadoop-hdfs-project_hadoop-hdfs.txt](https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-6600/2/artifact/out/patch-unit-hadoop-hdfs-project_hadoop-hdfs.txt)
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[jira] [Commented] (HDFS-17397) Choose another DN as soon as possible, when encountering network issues

2024-03-05 Thread ASF GitHub Bot (Jira)


[ 
https://issues.apache.org/jira/browse/HDFS-17397?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17823840#comment-17823840
 ] 

ASF GitHub Bot commented on HDFS-17397:
---

hadoop-yetus commented on PR #6591:
URL: https://github.com/apache/hadoop/pull/6591#issuecomment-1980006462

   :broken_heart: **-1 overall**
   
   
   
   
   
   
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[jira] [Commented] (HDFS-17380) FsImageValidation: remove inaccessible nodes

2024-03-05 Thread ASF GitHub Bot (Jira)


[ 
https://issues.apache.org/jira/browse/HDFS-17380?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17823827#comment-17823827
 ] 

ASF GitHub Bot commented on HDFS-17380:
---

hadoop-yetus commented on PR #6549:
URL: https://github.com/apache/hadoop/pull/6549#issuecomment-1979930650

   :broken_heart: **-1 overall**
   
   
   
   
   
   
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[/patch-unit-hadoop-hdfs-project_hadoop-hdfs.txt](https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-6549/6/artifact/out/patch-unit-hadoop-hdfs-project_hadoop-hdfs.txt)
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   |   | hadoop.hdfs.tools.TestDFSAdmin |
   
   
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[jira] [Commented] (HDFS-17299) HDFS is not rack failure tolerant while creating a new file.

2024-03-05 Thread ASF GitHub Bot (Jira)


[ 
https://issues.apache.org/jira/browse/HDFS-17299?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17823823#comment-17823823
 ] 

ASF GitHub Bot commented on HDFS-17299:
---

ritegarg commented on PR #6566:
URL: https://github.com/apache/hadoop/pull/6566#issuecomment-1979910458

   > There are some new checkstyle issues from the result of CI. Could you fix 
them?
   
   Should be fixed now




> HDFS is not rack failure tolerant while creating a new file.
> 
>
> Key: HDFS-17299
> URL: https://issues.apache.org/jira/browse/HDFS-17299
> Project: Hadoop HDFS
>  Issue Type: Bug
>Affects Versions: 2.10.1
>Reporter: Rushabh Shah
>Assignee: Ritesh
>Priority: Critical
>  Labels: pull-request-available
> Attachments: repro.patch
>
>
> Recently we saw an HBase cluster outage when we mistakenly brought down 1 AZ.
> Our configuration:
> 1. We use 3 Availability Zones (AZs) for fault tolerance.
> 2. We use BlockPlacementPolicyRackFaultTolerant as the block placement policy.
> 3. We use the following configuration parameters: 
> dfs.namenode.heartbeat.recheck-interval: 60 
> dfs.heartbeat.interval: 3 
> So it will take 123 ms (20.5mins) to detect that datanode is dead.
>  
> Steps to reproduce:
>  # Bring down 1 AZ.
>  # HBase (HDFS client) tries to create a file (WAL file) and then calls 
> hflush on the newly created file.
>  # DataStreamer is not able to find blocks locations that satisfies the rack 
> placement policy (one copy in each rack which essentially means one copy in 
> each AZ)
>  # Since all the datanodes in that AZ are down but still alive to namenode, 
> the client gets different datanodes but still all of them are in the same AZ. 
> See logs below.
>  # HBase is not able to create a WAL file and it aborts the region server.
>  
> Relevant logs from hdfs client and namenode
>  
> {noformat}
> 2023-12-16 17:17:43,818 INFO  [on default port 9000] FSNamesystem.audit - 
> allowed=trueugi=hbase/ (auth:KERBEROS) ip=  
> cmd=create  src=/hbase/WALs/  dst=null
> 2023-12-16 17:17:43,978 INFO  [on default port 9000] hdfs.StateChange - 
> BLOCK* allocate blk_1214652565_140946716, replicas=:50010, 
> :50010, :50010 for /hbase/WALs/
> 2023-12-16 17:17:44,061 INFO  [Thread-39087] hdfs.DataStreamer - Exception in 
> createBlockOutputStream
> java.io.IOException: Got error, status=ERROR, status message , ack with 
> firstBadLink as :50010
> at 
> org.apache.hadoop.hdfs.protocol.datatransfer.DataTransferProtoUtil.checkBlockOpStatus(DataTransferProtoUtil.java:113)
> at 
> org.apache.hadoop.hdfs.DataStreamer.createBlockOutputStream(DataStreamer.java:1747)
> at 
> org.apache.hadoop.hdfs.DataStreamer.nextBlockOutputStream(DataStreamer.java:1651)
> at org.apache.hadoop.hdfs.DataStreamer.run(DataStreamer.java:715)
> 2023-12-16 17:17:44,061 WARN  [Thread-39087] hdfs.DataStreamer - Abandoning 
> BP-179318874--1594838129323:blk_1214652565_140946716
> 2023-12-16 17:17:44,179 WARN  [Thread-39087] hdfs.DataStreamer - Excluding 
> datanode 
> DatanodeInfoWithStorage[:50010,DS-a493abdb-3ac3-49b1-9bfb-848baf5c1c2c,DISK]
> 2023-12-16 17:17:44,339 INFO  [on default port 9000] hdfs.StateChange - 
> BLOCK* allocate blk_1214652580_140946764, replicas=:50010, 
> :50010, :50010 for /hbase/WALs/
> 2023-12-16 17:17:44,369 INFO  [Thread-39087] hdfs.DataStreamer - Exception in 
> createBlockOutputStream
> java.io.IOException: Got error, status=ERROR, status message , ack with 
> firstBadLink as :50010
> at 
> org.apache.hadoop.hdfs.protocol.datatransfer.DataTransferProtoUtil.checkBlockOpStatus(DataTransferProtoUtil.java:113)
> at 
> org.apache.hadoop.hdfs.DataStreamer.createBlockOutputStream(DataStreamer.java:1747)
> at 
> org.apache.hadoop.hdfs.DataStreamer.nextBlockOutputStream(DataStreamer.java:1651)
> at org.apache.hadoop.hdfs.DataStreamer.run(DataStreamer.java:715)
> 2023-12-16 17:17:44,369 WARN  [Thread-39087] hdfs.DataStreamer - Abandoning 
> BP-179318874-NN-IP-1594838129323:blk_1214652580_140946764
> 2023-12-16 17:17:44,454 WARN  [Thread-39087] hdfs.DataStreamer - Excluding 
> datanode 
> DatanodeInfoWithStorage[AZ-2-dn-2:50010,DS-46bb45cc-af89-46f3-9f9d-24e4fdc35b6d,DISK]
> 2023-12-16 17:17:44,522 INFO  [on default port 9000] hdfs.StateChange - 
> BLOCK* allocate blk_1214652594_140946796, replicas=:50010, 
> :50010, :50010 for /hbase/WALs/
> 2023-12-16 17:17:44,712 INFO  [Thread-39087] hdfs.DataStreamer - Exception in 
> createBlockOutputStream
> java.io.IOException: Got error, status=ERROR, status message , ack with 
> firstBadLink as :50010
> at 
> org.apache.hadoop.hdfs.protocol.datatransfer.DataTransferProtoUtil.checkBlockOpStatus(DataTransferProtoUtil.java:113)
> at 
> org

[jira] [Commented] (HDFS-17299) HDFS is not rack failure tolerant while creating a new file.

2024-03-05 Thread ASF GitHub Bot (Jira)


[ 
https://issues.apache.org/jira/browse/HDFS-17299?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17823820#comment-17823820
 ] 

ASF GitHub Bot commented on HDFS-17299:
---

tasanuma commented on PR #6566:
URL: https://github.com/apache/hadoop/pull/6566#issuecomment-1979904394

   There are some new checkstyle issues from the result of CI. Could you fix 
them?




> HDFS is not rack failure tolerant while creating a new file.
> 
>
> Key: HDFS-17299
> URL: https://issues.apache.org/jira/browse/HDFS-17299
> Project: Hadoop HDFS
>  Issue Type: Bug
>Affects Versions: 2.10.1
>Reporter: Rushabh Shah
>Assignee: Ritesh
>Priority: Critical
>  Labels: pull-request-available
> Attachments: repro.patch
>
>
> Recently we saw an HBase cluster outage when we mistakenly brought down 1 AZ.
> Our configuration:
> 1. We use 3 Availability Zones (AZs) for fault tolerance.
> 2. We use BlockPlacementPolicyRackFaultTolerant as the block placement policy.
> 3. We use the following configuration parameters: 
> dfs.namenode.heartbeat.recheck-interval: 60 
> dfs.heartbeat.interval: 3 
> So it will take 123 ms (20.5mins) to detect that datanode is dead.
>  
> Steps to reproduce:
>  # Bring down 1 AZ.
>  # HBase (HDFS client) tries to create a file (WAL file) and then calls 
> hflush on the newly created file.
>  # DataStreamer is not able to find blocks locations that satisfies the rack 
> placement policy (one copy in each rack which essentially means one copy in 
> each AZ)
>  # Since all the datanodes in that AZ are down but still alive to namenode, 
> the client gets different datanodes but still all of them are in the same AZ. 
> See logs below.
>  # HBase is not able to create a WAL file and it aborts the region server.
>  
> Relevant logs from hdfs client and namenode
>  
> {noformat}
> 2023-12-16 17:17:43,818 INFO  [on default port 9000] FSNamesystem.audit - 
> allowed=trueugi=hbase/ (auth:KERBEROS) ip=  
> cmd=create  src=/hbase/WALs/  dst=null
> 2023-12-16 17:17:43,978 INFO  [on default port 9000] hdfs.StateChange - 
> BLOCK* allocate blk_1214652565_140946716, replicas=:50010, 
> :50010, :50010 for /hbase/WALs/
> 2023-12-16 17:17:44,061 INFO  [Thread-39087] hdfs.DataStreamer - Exception in 
> createBlockOutputStream
> java.io.IOException: Got error, status=ERROR, status message , ack with 
> firstBadLink as :50010
> at 
> org.apache.hadoop.hdfs.protocol.datatransfer.DataTransferProtoUtil.checkBlockOpStatus(DataTransferProtoUtil.java:113)
> at 
> org.apache.hadoop.hdfs.DataStreamer.createBlockOutputStream(DataStreamer.java:1747)
> at 
> org.apache.hadoop.hdfs.DataStreamer.nextBlockOutputStream(DataStreamer.java:1651)
> at org.apache.hadoop.hdfs.DataStreamer.run(DataStreamer.java:715)
> 2023-12-16 17:17:44,061 WARN  [Thread-39087] hdfs.DataStreamer - Abandoning 
> BP-179318874--1594838129323:blk_1214652565_140946716
> 2023-12-16 17:17:44,179 WARN  [Thread-39087] hdfs.DataStreamer - Excluding 
> datanode 
> DatanodeInfoWithStorage[:50010,DS-a493abdb-3ac3-49b1-9bfb-848baf5c1c2c,DISK]
> 2023-12-16 17:17:44,339 INFO  [on default port 9000] hdfs.StateChange - 
> BLOCK* allocate blk_1214652580_140946764, replicas=:50010, 
> :50010, :50010 for /hbase/WALs/
> 2023-12-16 17:17:44,369 INFO  [Thread-39087] hdfs.DataStreamer - Exception in 
> createBlockOutputStream
> java.io.IOException: Got error, status=ERROR, status message , ack with 
> firstBadLink as :50010
> at 
> org.apache.hadoop.hdfs.protocol.datatransfer.DataTransferProtoUtil.checkBlockOpStatus(DataTransferProtoUtil.java:113)
> at 
> org.apache.hadoop.hdfs.DataStreamer.createBlockOutputStream(DataStreamer.java:1747)
> at 
> org.apache.hadoop.hdfs.DataStreamer.nextBlockOutputStream(DataStreamer.java:1651)
> at org.apache.hadoop.hdfs.DataStreamer.run(DataStreamer.java:715)
> 2023-12-16 17:17:44,369 WARN  [Thread-39087] hdfs.DataStreamer - Abandoning 
> BP-179318874-NN-IP-1594838129323:blk_1214652580_140946764
> 2023-12-16 17:17:44,454 WARN  [Thread-39087] hdfs.DataStreamer - Excluding 
> datanode 
> DatanodeInfoWithStorage[AZ-2-dn-2:50010,DS-46bb45cc-af89-46f3-9f9d-24e4fdc35b6d,DISK]
> 2023-12-16 17:17:44,522 INFO  [on default port 9000] hdfs.StateChange - 
> BLOCK* allocate blk_1214652594_140946796, replicas=:50010, 
> :50010, :50010 for /hbase/WALs/
> 2023-12-16 17:17:44,712 INFO  [Thread-39087] hdfs.DataStreamer - Exception in 
> createBlockOutputStream
> java.io.IOException: Got error, status=ERROR, status message , ack with 
> firstBadLink as :50010
> at 
> org.apache.hadoop.hdfs.protocol.datatransfer.DataTransferProtoUtil.checkBlockOpStatus(DataTransferProtoUtil.java:113)
> at 
> org.apache.hadoop.hdfs.DataStrea

[jira] [Commented] (HDFS-17146) Use the dfsadmin -reconfig command to initiate reconfiguration on all decommissioning datanodes.

2024-03-05 Thread ASF GitHub Bot (Jira)


[ 
https://issues.apache.org/jira/browse/HDFS-17146?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17823791#comment-17823791
 ] 

ASF GitHub Bot commented on HDFS-17146:
---

slfan1989 commented on code in PR #6595:
URL: https://github.com/apache/hadoop/pull/6595#discussion_r1513586786


##
hadoop-hdfs-project/hadoop-hdfs/src/test/java/org/apache/hadoop/hdfs/tools/TestDFSAdmin.java:
##
@@ -1377,7 +1377,8 @@ public Boolean get() {
 }
 scanIntoList(out, outs);
 scanIntoList(err, errs);
-return !outs.isEmpty() && outs.get(0).contains("finished");
+return !outs.isEmpty() && outs.stream().filter(line ->
+line.contains("finished")).count() == 2;

Review Comment:
   Can we explain this change?





> Use the dfsadmin -reconfig command to initiate reconfiguration on all 
> decommissioning datanodes.
> 
>
> Key: HDFS-17146
> URL: https://issues.apache.org/jira/browse/HDFS-17146
> Project: Hadoop HDFS
>  Issue Type: Improvement
>  Components: dfsadmin, hdfs
>Affects Versions: 3.4.0
>Reporter: Hualong Zhang
>Assignee: Hualong Zhang
>Priority: Major
>  Labels: pull-request-available
> Fix For: 3.4.1, 3.5.0
>
>
> If the *DFSAdmin* command could have the ability to perform bulk operations 
> across all decommissioned datanodes, that would be highly advantageous.



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[jira] [Commented] (HDFS-17404) Add Namenode info to log message when setting block keys from active nn

2024-03-05 Thread ASF GitHub Bot (Jira)


[ 
https://issues.apache.org/jira/browse/HDFS-17404?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17823783#comment-17823783
 ] 

ASF GitHub Bot commented on HDFS-17404:
---

ctrezzo commented on PR #6609:
URL: https://github.com/apache/hadoop/pull/6609#issuecomment-1979689511

   Cherry picked the original commit from trunk since it was trivial.




> Add Namenode info to log message when setting block keys from active nn
> ---
>
> Key: HDFS-17404
> URL: https://issues.apache.org/jira/browse/HDFS-17404
> Project: Hadoop HDFS
>  Issue Type: Improvement
>Reporter: Joseph Dell'Aringa
>Priority: Trivial
>  Labels: pull-request-available
> Fix For: 3.3.7, 3.4.1, 3.5.0
>
>
> Add Namenode info to log message when setting block keys from active nn



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[jira] [Commented] (HDFS-17404) Add Namenode info to log message when setting block keys from active nn

2024-03-05 Thread ASF GitHub Bot (Jira)


[ 
https://issues.apache.org/jira/browse/HDFS-17404?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17823782#comment-17823782
 ] 

ASF GitHub Bot commented on HDFS-17404:
---

ctrezzo closed pull request #6609: HDFS-17404. Add NN Socket Address to log 
when processing command from active NN
URL: https://github.com/apache/hadoop/pull/6609




> Add Namenode info to log message when setting block keys from active nn
> ---
>
> Key: HDFS-17404
> URL: https://issues.apache.org/jira/browse/HDFS-17404
> Project: Hadoop HDFS
>  Issue Type: Improvement
>Reporter: Joseph Dell'Aringa
>Priority: Trivial
>  Labels: pull-request-available
> Fix For: 3.3.7, 3.4.1, 3.5.0
>
>
> Add Namenode info to log message when setting block keys from active nn



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[jira] [Commented] (HDFS-17146) Use the dfsadmin -reconfig command to initiate reconfiguration on all decommissioning datanodes.

2024-03-05 Thread ASF GitHub Bot (Jira)


[ 
https://issues.apache.org/jira/browse/HDFS-17146?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17823764#comment-17823764
 ] 

ASF GitHub Bot commented on HDFS-17146:
---

hadoop-yetus commented on PR #6595:
URL: https://github.com/apache/hadoop/pull/6595#issuecomment-1979594510

   :broken_heart: **-1 overall**
   
   
   
   
   
   
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[jira] [Updated] (HDFS-17404) Add Namenode info to log message when setting block keys from active nn

2024-03-05 Thread Chris Trezzo (Jira)


 [ 
https://issues.apache.org/jira/browse/HDFS-17404?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Chris Trezzo updated HDFS-17404:

Fix Version/s: 3.3.7
   3.4.1

> Add Namenode info to log message when setting block keys from active nn
> ---
>
> Key: HDFS-17404
> URL: https://issues.apache.org/jira/browse/HDFS-17404
> Project: Hadoop HDFS
>  Issue Type: Improvement
>Reporter: Joseph Dell'Aringa
>Priority: Trivial
>  Labels: pull-request-available
> Fix For: 3.3.7, 3.4.1, 3.5.0
>
>
> Add Namenode info to log message when setting block keys from active nn



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[jira] [Resolved] (HDFS-17404) Add Namenode info to log message when setting block keys from active nn

2024-03-05 Thread Chris Trezzo (Jira)


 [ 
https://issues.apache.org/jira/browse/HDFS-17404?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Chris Trezzo resolved HDFS-17404.
-
Resolution: Fixed

> Add Namenode info to log message when setting block keys from active nn
> ---
>
> Key: HDFS-17404
> URL: https://issues.apache.org/jira/browse/HDFS-17404
> Project: Hadoop HDFS
>  Issue Type: Improvement
>Reporter: Joseph Dell'Aringa
>Priority: Trivial
>  Labels: pull-request-available
> Fix For: 3.5.0
>
>
> Add Namenode info to log message when setting block keys from active nn



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[jira] [Updated] (HDFS-17404) Add Namenode info to log message when setting block keys from active nn

2024-03-05 Thread Chris Trezzo (Jira)


 [ 
https://issues.apache.org/jira/browse/HDFS-17404?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Chris Trezzo updated HDFS-17404:

Fix Version/s: 3.5.0

> Add Namenode info to log message when setting block keys from active nn
> ---
>
> Key: HDFS-17404
> URL: https://issues.apache.org/jira/browse/HDFS-17404
> Project: Hadoop HDFS
>  Issue Type: Improvement
>Reporter: Joseph Dell'Aringa
>Priority: Trivial
>  Labels: pull-request-available
> Fix For: 3.5.0
>
>
> Add Namenode info to log message when setting block keys from active nn



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[jira] [Commented] (HDFS-17404) Add Namenode info to log message when setting block keys from active nn

2024-03-05 Thread ASF GitHub Bot (Jira)


[ 
https://issues.apache.org/jira/browse/HDFS-17404?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17823741#comment-17823741
 ] 

ASF GitHub Bot commented on HDFS-17404:
---

ctrezzo merged PR #6598:
URL: https://github.com/apache/hadoop/pull/6598




> Add Namenode info to log message when setting block keys from active nn
> ---
>
> Key: HDFS-17404
> URL: https://issues.apache.org/jira/browse/HDFS-17404
> Project: Hadoop HDFS
>  Issue Type: Improvement
>Reporter: Joseph Dell'Aringa
>Priority: Trivial
>  Labels: pull-request-available
>
> Add Namenode info to log message when setting block keys from active nn



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[jira] [Commented] (HDFS-17299) HDFS is not rack failure tolerant while creating a new file.

2024-03-05 Thread ASF GitHub Bot (Jira)


[ 
https://issues.apache.org/jira/browse/HDFS-17299?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17823736#comment-17823736
 ] 

ASF GitHub Bot commented on HDFS-17299:
---

shahrs87 commented on PR #6566:
URL: https://github.com/apache/hadoop/pull/6566#issuecomment-1979352026

   1. 
[spotbugs](https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-6566/20/artifact/out/branch-spotbugs-hadoop-hdfs-project_hadoop-hdfs-client-warnings.html)
 warning is not related to patch. So ignoring for now.
   2. There are 3 test failures, 2 of them 
([TestBlockListAsLongs.testFuzz](https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-6566/20/testReport/junit/org.apache.hadoop.hdfs.protocol/TestBlockListAsLongs/testFuzz/)
 and 
[TestLargeBlockReport.testBlockReportSucceedsWithLargerLengthLimit](https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-6566/20/testReport/junit/org.apache.hadoop.hdfs.server.datanode/TestLargeBlockReport/testBlockReportSucceedsWithLargerLengthLimit/))
 are consistently failing in nightly builds.
   3. The third test failure 
([TestDFSAdmin.testDecommissionDataNodesReconfig](https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-6566/20/testReport/junit/org.apache.hadoop.hdfs.tools/TestDFSAdmin/testDecommissionDataNodesReconfig/))
 is flaky. Created 
[HDFS-17409](https://issues.apache.org/jira/browse/HDFS-17409) for further 
investigation.
   
   This PR is ready to review again. All the comments are addressed by 
@ritegarg. If there are no more comment by EOD tomorrow, I will merge this PR. 
Cc @ayushtkn  @tasanuma 
   




> HDFS is not rack failure tolerant while creating a new file.
> 
>
> Key: HDFS-17299
> URL: https://issues.apache.org/jira/browse/HDFS-17299
> Project: Hadoop HDFS
>  Issue Type: Bug
>Affects Versions: 2.10.1
>Reporter: Rushabh Shah
>Assignee: Ritesh
>Priority: Critical
>  Labels: pull-request-available
> Attachments: repro.patch
>
>
> Recently we saw an HBase cluster outage when we mistakenly brought down 1 AZ.
> Our configuration:
> 1. We use 3 Availability Zones (AZs) for fault tolerance.
> 2. We use BlockPlacementPolicyRackFaultTolerant as the block placement policy.
> 3. We use the following configuration parameters: 
> dfs.namenode.heartbeat.recheck-interval: 60 
> dfs.heartbeat.interval: 3 
> So it will take 123 ms (20.5mins) to detect that datanode is dead.
>  
> Steps to reproduce:
>  # Bring down 1 AZ.
>  # HBase (HDFS client) tries to create a file (WAL file) and then calls 
> hflush on the newly created file.
>  # DataStreamer is not able to find blocks locations that satisfies the rack 
> placement policy (one copy in each rack which essentially means one copy in 
> each AZ)
>  # Since all the datanodes in that AZ are down but still alive to namenode, 
> the client gets different datanodes but still all of them are in the same AZ. 
> See logs below.
>  # HBase is not able to create a WAL file and it aborts the region server.
>  
> Relevant logs from hdfs client and namenode
>  
> {noformat}
> 2023-12-16 17:17:43,818 INFO  [on default port 9000] FSNamesystem.audit - 
> allowed=trueugi=hbase/ (auth:KERBEROS) ip=  
> cmd=create  src=/hbase/WALs/  dst=null
> 2023-12-16 17:17:43,978 INFO  [on default port 9000] hdfs.StateChange - 
> BLOCK* allocate blk_1214652565_140946716, replicas=:50010, 
> :50010, :50010 for /hbase/WALs/
> 2023-12-16 17:17:44,061 INFO  [Thread-39087] hdfs.DataStreamer - Exception in 
> createBlockOutputStream
> java.io.IOException: Got error, status=ERROR, status message , ack with 
> firstBadLink as :50010
> at 
> org.apache.hadoop.hdfs.protocol.datatransfer.DataTransferProtoUtil.checkBlockOpStatus(DataTransferProtoUtil.java:113)
> at 
> org.apache.hadoop.hdfs.DataStreamer.createBlockOutputStream(DataStreamer.java:1747)
> at 
> org.apache.hadoop.hdfs.DataStreamer.nextBlockOutputStream(DataStreamer.java:1651)
> at org.apache.hadoop.hdfs.DataStreamer.run(DataStreamer.java:715)
> 2023-12-16 17:17:44,061 WARN  [Thread-39087] hdfs.DataStreamer - Abandoning 
> BP-179318874--1594838129323:blk_1214652565_140946716
> 2023-12-16 17:17:44,179 WARN  [Thread-39087] hdfs.DataStreamer - Excluding 
> datanode 
> DatanodeInfoWithStorage[:50010,DS-a493abdb-3ac3-49b1-9bfb-848baf5c1c2c,DISK]
> 2023-12-16 17:17:44,339 INFO  [on default port 9000] hdfs.StateChange - 
> BLOCK* allocate blk_1214652580_140946764, replicas=:50010, 
> :50010, :50010 for /hbase/WALs/
> 2023-12-16 17:17:44,369 INFO  [Thread-39087] hdfs.DataStreamer - Exception in 
> createBlockOutputStream
> java.io.IOException: Got error, status=ERROR, status message , ack with 
> firstBadLink as :50010
> at 
> org.apache.hadoop.hdfs.protocol.datatransfer.DataTransf

[jira] [Updated] (HDFS-17404) Add Namenode info to log message when setting block keys from active nn

2024-03-05 Thread Chris Trezzo (Jira)


 [ 
https://issues.apache.org/jira/browse/HDFS-17404?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Chris Trezzo updated HDFS-17404:

Description: Add Namenode info to log message when setting block keys from 
active nn  (was: When BPServiceActor communicates with an active nn we should 
record the nn address. This information is already available for standby nn.  )

> Add Namenode info to log message when setting block keys from active nn
> ---
>
> Key: HDFS-17404
> URL: https://issues.apache.org/jira/browse/HDFS-17404
> Project: Hadoop HDFS
>  Issue Type: Improvement
>Reporter: Joseph Dell'Aringa
>Priority: Trivial
>  Labels: pull-request-available
>
> Add Namenode info to log message when setting block keys from active nn



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[jira] [Updated] (HDFS-17404) Add Namenode info to log message when setting block keys from active nn

2024-03-05 Thread Chris Trezzo (Jira)


 [ 
https://issues.apache.org/jira/browse/HDFS-17404?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Chris Trezzo updated HDFS-17404:

Summary: Add Namenode info to log message when setting block keys from 
active nn  (was: Add NN Socket Address to log when processing command from 
active NN)

> Add Namenode info to log message when setting block keys from active nn
> ---
>
> Key: HDFS-17404
> URL: https://issues.apache.org/jira/browse/HDFS-17404
> Project: Hadoop HDFS
>  Issue Type: Improvement
>Reporter: Joseph Dell'Aringa
>Priority: Trivial
>  Labels: pull-request-available
>
> When BPServiceActor communicates with an active nn we should record the nn 
> address. This information is already available for standby nn.  



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[jira] [Updated] (HDFS-17404) Add NN Socket Address to log when processing command from active NN

2024-03-05 Thread Chris Trezzo (Jira)


 [ 
https://issues.apache.org/jira/browse/HDFS-17404?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Chris Trezzo updated HDFS-17404:

Summary: Add NN Socket Address to log when processing command from active 
NN  (was: Record the BPServiceActor information that communicates with Active)

> Add NN Socket Address to log when processing command from active NN
> ---
>
> Key: HDFS-17404
> URL: https://issues.apache.org/jira/browse/HDFS-17404
> Project: Hadoop HDFS
>  Issue Type: Improvement
>Reporter: Joseph Dell'Aringa
>Priority: Trivial
>  Labels: pull-request-available
>
> When BPServiceActor communicates with an active nn we should record the nn 
> address. This information is already available for standby nn.  



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[jira] [Created] (HDFS-17409) TestDFSAdmin has couple of flaky tests.

2024-03-05 Thread Rushabh Shah (Jira)
Rushabh Shah created HDFS-17409:
---

 Summary: TestDFSAdmin has couple of flaky tests.
 Key: HDFS-17409
 URL: https://issues.apache.org/jira/browse/HDFS-17409
 Project: Hadoop HDFS
  Issue Type: Bug
Affects Versions: 3.5.0
Reporter: Rushabh Shah


TestDFSAdmin has couple of flaky tests.
TestDFSAdmin#testAllDatanodesReconfig
TestDFSAdmin#testDecommissionDataNodesReconfig

Seeing failure in couple of separate PRs:
https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-6583/7/#showFailuresLink
https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-6566/20/

testDecommissionDataNodesReconfig is failing locally with the following error:

{noformat}
java.lang.AssertionError
at org.junit.Assert.fail(Assert.java:87)
at org.junit.Assert.assertTrue(Assert.java:42)
at org.junit.Assert.assertTrue(Assert.java:53)
at 
org.apache.hadoop.hdfs.tools.TestDFSAdmin.testDecommissionDataNodesReconfig(TestDFSAdmin.java:1356)
{noformat}




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[jira] [Commented] (HDFS-17299) HDFS is not rack failure tolerant while creating a new file.

2024-03-05 Thread ASF GitHub Bot (Jira)


[ 
https://issues.apache.org/jira/browse/HDFS-17299?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17823715#comment-17823715
 ] 

ASF GitHub Bot commented on HDFS-17299:
---

ritegarg commented on code in PR #6566:
URL: https://github.com/apache/hadoop/pull/6566#discussion_r1513209226


##
hadoop-hdfs-project/hadoop-hdfs/src/test/java/org/apache/hadoop/hdfs/TestDFSClientExcludedNodes.java:
##
@@ -89,6 +89,10 @@ public void testExcludedNodesForgiveness() throws 
IOException {
 conf.setLong(
 HdfsClientConfigKeys.Write.EXCLUDE_NODES_CACHE_EXPIRY_INTERVAL_KEY,
 2500);
+// Set min replication for blocks to be written as 1.
+conf.setInt(
+
HdfsClientConfigKeys.BlockWrite.ReplaceDatanodeOnFailure.MIN_REPLICATION,
+1);

Review Comment:
   Fixed this behavior by adding try/catch to 
DataStreamer.setupPipelineForCreate





> HDFS is not rack failure tolerant while creating a new file.
> 
>
> Key: HDFS-17299
> URL: https://issues.apache.org/jira/browse/HDFS-17299
> Project: Hadoop HDFS
>  Issue Type: Bug
>Affects Versions: 2.10.1
>Reporter: Rushabh Shah
>Assignee: Ritesh
>Priority: Critical
>  Labels: pull-request-available
> Attachments: repro.patch
>
>
> Recently we saw an HBase cluster outage when we mistakenly brought down 1 AZ.
> Our configuration:
> 1. We use 3 Availability Zones (AZs) for fault tolerance.
> 2. We use BlockPlacementPolicyRackFaultTolerant as the block placement policy.
> 3. We use the following configuration parameters: 
> dfs.namenode.heartbeat.recheck-interval: 60 
> dfs.heartbeat.interval: 3 
> So it will take 123 ms (20.5mins) to detect that datanode is dead.
>  
> Steps to reproduce:
>  # Bring down 1 AZ.
>  # HBase (HDFS client) tries to create a file (WAL file) and then calls 
> hflush on the newly created file.
>  # DataStreamer is not able to find blocks locations that satisfies the rack 
> placement policy (one copy in each rack which essentially means one copy in 
> each AZ)
>  # Since all the datanodes in that AZ are down but still alive to namenode, 
> the client gets different datanodes but still all of them are in the same AZ. 
> See logs below.
>  # HBase is not able to create a WAL file and it aborts the region server.
>  
> Relevant logs from hdfs client and namenode
>  
> {noformat}
> 2023-12-16 17:17:43,818 INFO  [on default port 9000] FSNamesystem.audit - 
> allowed=trueugi=hbase/ (auth:KERBEROS) ip=  
> cmd=create  src=/hbase/WALs/  dst=null
> 2023-12-16 17:17:43,978 INFO  [on default port 9000] hdfs.StateChange - 
> BLOCK* allocate blk_1214652565_140946716, replicas=:50010, 
> :50010, :50010 for /hbase/WALs/
> 2023-12-16 17:17:44,061 INFO  [Thread-39087] hdfs.DataStreamer - Exception in 
> createBlockOutputStream
> java.io.IOException: Got error, status=ERROR, status message , ack with 
> firstBadLink as :50010
> at 
> org.apache.hadoop.hdfs.protocol.datatransfer.DataTransferProtoUtil.checkBlockOpStatus(DataTransferProtoUtil.java:113)
> at 
> org.apache.hadoop.hdfs.DataStreamer.createBlockOutputStream(DataStreamer.java:1747)
> at 
> org.apache.hadoop.hdfs.DataStreamer.nextBlockOutputStream(DataStreamer.java:1651)
> at org.apache.hadoop.hdfs.DataStreamer.run(DataStreamer.java:715)
> 2023-12-16 17:17:44,061 WARN  [Thread-39087] hdfs.DataStreamer - Abandoning 
> BP-179318874--1594838129323:blk_1214652565_140946716
> 2023-12-16 17:17:44,179 WARN  [Thread-39087] hdfs.DataStreamer - Excluding 
> datanode 
> DatanodeInfoWithStorage[:50010,DS-a493abdb-3ac3-49b1-9bfb-848baf5c1c2c,DISK]
> 2023-12-16 17:17:44,339 INFO  [on default port 9000] hdfs.StateChange - 
> BLOCK* allocate blk_1214652580_140946764, replicas=:50010, 
> :50010, :50010 for /hbase/WALs/
> 2023-12-16 17:17:44,369 INFO  [Thread-39087] hdfs.DataStreamer - Exception in 
> createBlockOutputStream
> java.io.IOException: Got error, status=ERROR, status message , ack with 
> firstBadLink as :50010
> at 
> org.apache.hadoop.hdfs.protocol.datatransfer.DataTransferProtoUtil.checkBlockOpStatus(DataTransferProtoUtil.java:113)
> at 
> org.apache.hadoop.hdfs.DataStreamer.createBlockOutputStream(DataStreamer.java:1747)
> at 
> org.apache.hadoop.hdfs.DataStreamer.nextBlockOutputStream(DataStreamer.java:1651)
> at org.apache.hadoop.hdfs.DataStreamer.run(DataStreamer.java:715)
> 2023-12-16 17:17:44,369 WARN  [Thread-39087] hdfs.DataStreamer - Abandoning 
> BP-179318874-NN-IP-1594838129323:blk_1214652580_140946764
> 2023-12-16 17:17:44,454 WARN  [Thread-39087] hdfs.DataStreamer - Excluding 
> datanode 
> DatanodeInfoWithStorage[AZ-2-dn-2:50010,DS-46bb45cc-af89-46f3-9f9d-24e4fdc35b6d,DISK]
> 2023-12-16 17:17:44,522 INFO  [on defau

[jira] [Reopened] (HDFS-17384) [FGL] Replace the global lock with global FS Lock and global BM lock

2024-03-05 Thread Hui Fei (Jira)


 [ 
https://issues.apache.org/jira/browse/HDFS-17384?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Hui Fei reopened HDFS-17384:


> [FGL] Replace the global lock with global FS Lock and global BM lock
> 
>
> Key: HDFS-17384
> URL: https://issues.apache.org/jira/browse/HDFS-17384
> Project: Hadoop HDFS
>  Issue Type: Improvement
>Reporter: ZanderXu
>Assignee: ZanderXu
>Priority: Major
>  Labels: FGL
>
> First, we can replace the current global lock with two locks, global FS lock 
> and global BM lock.
> The global FS lock is used to make directory tree-related operations 
> thread-safe.
> The global BM lock is used to make block-related operations and DN-related 
> operations thread-safe.
>  
> For some operations involving both directory tree and block or DN, the global 
> FS lock and the global BM lock are acquired.
>  
> The lock order should be:
>  * The global FS lock
>  * The global BM lock
>  
> There are some special requirements for this ticket.
>  * End-user can choose to use global lock or fine-grained lock through 
> configuration.
>  * Try not to modify the current implementation logic as much as possible.



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[jira] [Resolved] (HDFS-17384) [FGL] Replace the global lock with global FS Lock and global BM lock

2024-03-05 Thread Hui Fei (Jira)


 [ 
https://issues.apache.org/jira/browse/HDFS-17384?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Hui Fei resolved HDFS-17384.

Resolution: Fixed

> [FGL] Replace the global lock with global FS Lock and global BM lock
> 
>
> Key: HDFS-17384
> URL: https://issues.apache.org/jira/browse/HDFS-17384
> Project: Hadoop HDFS
>  Issue Type: Improvement
>Reporter: ZanderXu
>Assignee: ZanderXu
>Priority: Major
>  Labels: FGL
>
> First, we can replace the current global lock with two locks, global FS lock 
> and global BM lock.
> The global FS lock is used to make directory tree-related operations 
> thread-safe.
> The global BM lock is used to make block-related operations and DN-related 
> operations thread-safe.
>  
> For some operations involving both directory tree and block or DN, the global 
> FS lock and the global BM lock are acquired.
>  
> The lock order should be:
>  * The global FS lock
>  * The global BM lock
>  
> There are some special requirements for this ticket.
>  * End-user can choose to use global lock or fine-grained lock through 
> configuration.
>  * Try not to modify the current implementation logic as much as possible.



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[jira] [Commented] (HDFS-17299) HDFS is not rack failure tolerant while creating a new file.

2024-03-05 Thread ASF GitHub Bot (Jira)


[ 
https://issues.apache.org/jira/browse/HDFS-17299?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17823631#comment-17823631
 ] 

ASF GitHub Bot commented on HDFS-17299:
---

tasanuma commented on code in PR #6566:
URL: https://github.com/apache/hadoop/pull/6566#discussion_r1512884161


##
hadoop-hdfs-project/hadoop-hdfs-client/src/main/java/org/apache/hadoop/hdfs/DataStreamer.java:
##
@@ -1817,10 +1839,10 @@ protected LocatedBlock nextBlockOutputStream() throws 
IOException {
   nodes = lb.getLocations();
   nextStorageTypes = lb.getStorageTypes();
   nextStorageIDs = lb.getStorageIDs();
-
+  setPipeline(lb);
   // Connect to first DataNode in the list.
   success = createBlockOutputStream(nodes, nextStorageTypes, 
nextStorageIDs,
-  0L, false);
+  0L, false) || setupPipelineForAppendOrRecovery();

Review Comment:
   I haven't looked into the PR in detail, but it makes sense to me that 
PIPELINE_SETUP_CREATE should also consider the 
`dtpReplaceDatanodeOnFailureReplication`. If I understand correctly, this 
change won't affect users who have set 
`dfs.client.block.write.replace-datanode-on-failure.min-replication(=dtpReplaceDatanodeOnFailureReplication)=0`,
 which is the default setting, so I think it's fairly safe.





> HDFS is not rack failure tolerant while creating a new file.
> 
>
> Key: HDFS-17299
> URL: https://issues.apache.org/jira/browse/HDFS-17299
> Project: Hadoop HDFS
>  Issue Type: Bug
>Affects Versions: 2.10.1
>Reporter: Rushabh Shah
>Assignee: Ritesh
>Priority: Critical
>  Labels: pull-request-available
> Attachments: repro.patch
>
>
> Recently we saw an HBase cluster outage when we mistakenly brought down 1 AZ.
> Our configuration:
> 1. We use 3 Availability Zones (AZs) for fault tolerance.
> 2. We use BlockPlacementPolicyRackFaultTolerant as the block placement policy.
> 3. We use the following configuration parameters: 
> dfs.namenode.heartbeat.recheck-interval: 60 
> dfs.heartbeat.interval: 3 
> So it will take 123 ms (20.5mins) to detect that datanode is dead.
>  
> Steps to reproduce:
>  # Bring down 1 AZ.
>  # HBase (HDFS client) tries to create a file (WAL file) and then calls 
> hflush on the newly created file.
>  # DataStreamer is not able to find blocks locations that satisfies the rack 
> placement policy (one copy in each rack which essentially means one copy in 
> each AZ)
>  # Since all the datanodes in that AZ are down but still alive to namenode, 
> the client gets different datanodes but still all of them are in the same AZ. 
> See logs below.
>  # HBase is not able to create a WAL file and it aborts the region server.
>  
> Relevant logs from hdfs client and namenode
>  
> {noformat}
> 2023-12-16 17:17:43,818 INFO  [on default port 9000] FSNamesystem.audit - 
> allowed=trueugi=hbase/ (auth:KERBEROS) ip=  
> cmd=create  src=/hbase/WALs/  dst=null
> 2023-12-16 17:17:43,978 INFO  [on default port 9000] hdfs.StateChange - 
> BLOCK* allocate blk_1214652565_140946716, replicas=:50010, 
> :50010, :50010 for /hbase/WALs/
> 2023-12-16 17:17:44,061 INFO  [Thread-39087] hdfs.DataStreamer - Exception in 
> createBlockOutputStream
> java.io.IOException: Got error, status=ERROR, status message , ack with 
> firstBadLink as :50010
> at 
> org.apache.hadoop.hdfs.protocol.datatransfer.DataTransferProtoUtil.checkBlockOpStatus(DataTransferProtoUtil.java:113)
> at 
> org.apache.hadoop.hdfs.DataStreamer.createBlockOutputStream(DataStreamer.java:1747)
> at 
> org.apache.hadoop.hdfs.DataStreamer.nextBlockOutputStream(DataStreamer.java:1651)
> at org.apache.hadoop.hdfs.DataStreamer.run(DataStreamer.java:715)
> 2023-12-16 17:17:44,061 WARN  [Thread-39087] hdfs.DataStreamer - Abandoning 
> BP-179318874--1594838129323:blk_1214652565_140946716
> 2023-12-16 17:17:44,179 WARN  [Thread-39087] hdfs.DataStreamer - Excluding 
> datanode 
> DatanodeInfoWithStorage[:50010,DS-a493abdb-3ac3-49b1-9bfb-848baf5c1c2c,DISK]
> 2023-12-16 17:17:44,339 INFO  [on default port 9000] hdfs.StateChange - 
> BLOCK* allocate blk_1214652580_140946764, replicas=:50010, 
> :50010, :50010 for /hbase/WALs/
> 2023-12-16 17:17:44,369 INFO  [Thread-39087] hdfs.DataStreamer - Exception in 
> createBlockOutputStream
> java.io.IOException: Got error, status=ERROR, status message , ack with 
> firstBadLink as :50010
> at 
> org.apache.hadoop.hdfs.protocol.datatransfer.DataTransferProtoUtil.checkBlockOpStatus(DataTransferProtoUtil.java:113)
> at 
> org.apache.hadoop.hdfs.DataStreamer.createBlockOutputStream(DataStreamer.java:1747)
> at 
> org.apache.hadoop.hdfs.DataStreamer.nextBlockOutputStream(DataStreamer.java:1651)
> at org.apache

[jira] [Commented] (HDFS-17398) [FGL] Implement the FGL lock for FSNLockManager

2024-03-05 Thread ASF GitHub Bot (Jira)


[ 
https://issues.apache.org/jira/browse/HDFS-17398?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17823632#comment-17823632
 ] 

ASF GitHub Bot commented on HDFS-17398:
---

hadoop-yetus commented on PR #6599:
URL: https://github.com/apache/hadoop/pull/6599#issuecomment-1978853986

   :broken_heart: **-1 overall**
   
   
   
   
   
   
   | Vote | Subsystem | Runtime |  Logfile | Comment |
   |::|--:|:|::|:---:|
   | +0 :ok: |  reexec  |  17m 47s |  |  Docker mode activated.  |
    _ Prechecks _ |
   | +1 :green_heart: |  dupname  |   0m  0s |  |  No case conflicting files 
found.  |
   | +0 :ok: |  codespell  |   0m  0s |  |  codespell was not available.  |
   | +0 :ok: |  detsecrets  |   0m  0s |  |  detect-secrets was not available.  
|
   | +1 :green_heart: |  @author  |   0m  0s |  |  The patch does not contain 
any @author tags.  |
   | +1 :green_heart: |  test4tests  |   0m  0s |  |  The patch appears to 
include 1 new or modified test files.  |
    _ HDFS-17384 Compile Tests _ |
   | +1 :green_heart: |  mvninstall  |  49m 12s |  |  HDFS-17384 passed  |
   | +1 :green_heart: |  compile  |   1m 25s |  |  HDFS-17384 passed with JDK 
Ubuntu-11.0.22+7-post-Ubuntu-0ubuntu220.04.1  |
   | +1 :green_heart: |  compile  |   1m 16s |  |  HDFS-17384 passed with JDK 
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https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-6599/4/te

[jira] [Commented] (HDFS-17299) HDFS is not rack failure tolerant while creating a new file.

2024-03-05 Thread ASF GitHub Bot (Jira)


[ 
https://issues.apache.org/jira/browse/HDFS-17299?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17823591#comment-17823591
 ] 

ASF GitHub Bot commented on HDFS-17299:
---

hadoop-yetus commented on PR #6566:
URL: https://github.com/apache/hadoop/pull/6566#issuecomment-1978665926

   :broken_heart: **-1 overall**
   
   
   
   
   
   
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[/branch-spotbugs-hadoop-hdfs-project_hadoop-hdfs-client-warnings.html](https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-6566/20/artifact/out/branch-spotbugs-hadoop-hdfs-project_hadoop-hdfs-client-warnings.html)
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[/patch-unit-hadoop-hdfs-project_hadoop-hdfs.txt](https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-6566/20/artifact/out/patch-unit-hadoop-hdfs-project_hadoop-hdfs.txt)
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   | Reason | Tests |
   |---:|:--|
   | Failed junit tests | hadoop.hdfs.protocol.TestBlockListAsLongs |
   |   | hadoop.hdfs.tools.TestDFSAdmin |
   |   | hadoop.hdfs.server.datanode.TestLargeBlockReport |
   
   
   | Subsystem | Report/Notes |
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   | Docker | ClientAPI=1.44 ServerAPI=1.44 base: 
https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-6566/20/artifact

[jira] [Commented] (HDFS-17397) Choose another DN as soon as possible, when encountering network issues

2024-03-05 Thread ASF GitHub Bot (Jira)


[ 
https://issues.apache.org/jira/browse/HDFS-17397?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17823556#comment-17823556
 ] 

ASF GitHub Bot commented on HDFS-17397:
---

hadoop-yetus commented on PR #6591:
URL: https://github.com/apache/hadoop/pull/6591#issuecomment-1978498670

   :broken_heart: **-1 overall**
   
   
   
   
   
   
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|
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[/branch-spotbugs-hadoop-hdfs-project_hadoop-hdfs-client-warnings.html](https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-6591/8/artifact/out/branch-spotbugs-hadoop-hdfs-project_hadoop-hdfs-client-warnings.html)
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[jira] [Commented] (HDFS-17401) Erasure Coding: Excess internal block may not be able to be deleted correctly when it's stored in fallback storage

2024-03-05 Thread ASF GitHub Bot (Jira)


[ 
https://issues.apache.org/jira/browse/HDFS-17401?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17823508#comment-17823508
 ] 

ASF GitHub Bot commented on HDFS-17401:
---

RuinanGu commented on PR #6597:
URL: https://github.com/apache/hadoop/pull/6597#issuecomment-1978301877

   @zhangshuyan0 @haiyang1987 Could you please take a look?




> Erasure Coding: Excess internal block may not be able to be deleted correctly 
> when it's stored in fallback storage
> --
>
> Key: HDFS-17401
> URL: https://issues.apache.org/jira/browse/HDFS-17401
> Project: Hadoop HDFS
>  Issue Type: Bug
>Affects Versions: 3.3.6
>Reporter: Ruinan Gu
>Assignee: Ruinan Gu
>Priority: Major
>  Labels: pull-request-available
>
> Excess internal block can't be deleted correctly when it's stored in fallback 
> storage.
> Simple case:
> EC-RS-6-3-1024k file is stored using ALL_SSD storage policy(SSD is default 
> storage type and DISK is fallback storage type), if the block group is as 
> follows
> [0(SSD), 0(SSD), 1(SSD), 2(SSD), 3(SSD), 4(SSD), 5(SSD), 6(SSD), 7(SSD), 
> 8(DISK)] 
> The are two index 0 internal block and one of them should be chosen to 
> delete.But the current implement chooses the index 0 internal blocks as 
> candidates but DISK as exess storage type.As a result, the exess storage 
> type(DISK) can not correspond to the exess internal blocks' storage type(SSD) 
> correctly, and the exess internal block can not be deleted correctly.



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