[jira] [Commented] (MAPREDUCE-6514) Job hangs as ask is not updated after ramping down of all reducers
[
https://issues.apache.org/jira/browse/MAPREDUCE-6514?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15718750#comment-15718750
]
vinisha commented on MAPREDUCE-6514:
can you please add affect version to the Jira.
> Job hangs as ask is not updated after ramping down of all reducers
> --
>
> Key: MAPREDUCE-6514
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-6514
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Components: applicationmaster
>Reporter: Varun Saxena
>Assignee: Varun Saxena
>Priority: Blocker
> Fix For: 2.7.3, 2.6.5, 3.0.0-alpha1
>
> Attachments: MAPREDUCE-6514.01.patch, MAPREDUCE-6514.02.patch
>
>
> In RMContainerAllocator#preemptReducesIfNeeded, we simply clear the scheduled
> reduces map and put these reducers to pending. This is not updated in ask. So
> RM keeps on assigning and AM is not able to assign as no reducer is
> scheduled(check logs below the code).
> If this is updated immediately, RM will be able to schedule mappers
> immediately which anyways is the intention when we ramp down reducers.
> Scheduler need not allocate for ramped down reducers
> This if not handled can lead to map starvation as pointed out in
> MAPREDUCE-6513
> {code}
> LOG.info("Ramping down all scheduled reduces:"
> + scheduledRequests.reduces.size());
> for (ContainerRequest req : scheduledRequests.reduces.values()) {
> pendingReduces.add(req);
> }
> scheduledRequests.reduces.clear();
> {code}
> {noformat}
> 2015-10-13 04:55:04,912 INFO [RMCommunicator Allocator]
> org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Container not
> assigned : container_1437451211867_1485_01_000215
> 2015-10-13 04:55:04,912 INFO [RMCommunicator Allocator]
> org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Cannot assign
> container Container: [ContainerId: container_1437451211867_1485_01_000216,
> NodeId: hdszzdcxdat6g06u04p:26009, NodeHttpAddress:
> hdszzdcxdat6g06u04p:26010, Resource: , Priority: 10,
> Token: Token { kind: ContainerToken, service: 10.2.33.236:26009 }, ] for a
> reduce as either container memory less than required 4096 or no pending
> reduce tasks - reduces.isEmpty=true
> 2015-10-13 04:55:04,912 INFO [RMCommunicator Allocator]
> org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Container not
> assigned : container_1437451211867_1485_01_000216
> 2015-10-13 04:55:04,912 INFO [RMCommunicator Allocator]
> org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Cannot assign
> container Container: [ContainerId: container_1437451211867_1485_01_000217,
> NodeId: hdszzdcxdat6g06u06p:26009, NodeHttpAddress:
> hdszzdcxdat6g06u06p:26010, Resource: , Priority: 10,
> Token: Token { kind: ContainerToken, service: 10.2.33.239:26009 }, ] for a
> reduce as either container memory less than required 4096 or no pending
> reduce tasks - reduces.isEmpty=true
> {noformat}
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[jira] [Commented] (MAPREDUCE-6514) Job hangs as ask is not updated after ramping down of all reducers
[
https://issues.apache.org/jira/browse/MAPREDUCE-6514?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15273665#comment-15273665
]
Varun Saxena commented on MAPREDUCE-6514:
-
Thanks [~leftnoteasy].
Sorry could not address the review comment from Vinod yesterday as it was late
night here and waiting for QA report would have meant an even longer wait.
> Job hangs as ask is not updated after ramping down of all reducers
> --
>
> Key: MAPREDUCE-6514
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-6514
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Components: applicationmaster
>Reporter: Varun Saxena
>Assignee: Varun Saxena
>Priority: Blocker
> Fix For: 2.7.3, 2.6.5
>
> Attachments: MAPREDUCE-6514.01.patch, MAPREDUCE-6514.02.patch
>
>
> In RMContainerAllocator#preemptReducesIfNeeded, we simply clear the scheduled
> reduces map and put these reducers to pending. This is not updated in ask. So
> RM keeps on assigning and AM is not able to assign as no reducer is
> scheduled(check logs below the code).
> If this is updated immediately, RM will be able to schedule mappers
> immediately which anyways is the intention when we ramp down reducers.
> Scheduler need not allocate for ramped down reducers
> This if not handled can lead to map starvation as pointed out in
> MAPREDUCE-6513
> {code}
> LOG.info("Ramping down all scheduled reduces:"
> + scheduledRequests.reduces.size());
> for (ContainerRequest req : scheduledRequests.reduces.values()) {
> pendingReduces.add(req);
> }
> scheduledRequests.reduces.clear();
> {code}
> {noformat}
> 2015-10-13 04:55:04,912 INFO [RMCommunicator Allocator]
> org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Container not
> assigned : container_1437451211867_1485_01_000215
> 2015-10-13 04:55:04,912 INFO [RMCommunicator Allocator]
> org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Cannot assign
> container Container: [ContainerId: container_1437451211867_1485_01_000216,
> NodeId: hdszzdcxdat6g06u04p:26009, NodeHttpAddress:
> hdszzdcxdat6g06u04p:26010, Resource: , Priority: 10,
> Token: Token { kind: ContainerToken, service: 10.2.33.236:26009 }, ] for a
> reduce as either container memory less than required 4096 or no pending
> reduce tasks - reduces.isEmpty=true
> 2015-10-13 04:55:04,912 INFO [RMCommunicator Allocator]
> org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Container not
> assigned : container_1437451211867_1485_01_000216
> 2015-10-13 04:55:04,912 INFO [RMCommunicator Allocator]
> org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Cannot assign
> container Container: [ContainerId: container_1437451211867_1485_01_000217,
> NodeId: hdszzdcxdat6g06u06p:26009, NodeHttpAddress:
> hdszzdcxdat6g06u06p:26010, Resource: , Priority: 10,
> Token: Token { kind: ContainerToken, service: 10.2.33.239:26009 }, ] for a
> reduce as either container memory less than required 4096 or no pending
> reduce tasks - reduces.isEmpty=true
> {noformat}
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[jira] [Commented] (MAPREDUCE-6514) Job hangs as ask is not updated after ramping down of all reducers
[
https://issues.apache.org/jira/browse/MAPREDUCE-6514?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15273533#comment-15273533
]
Hudson commented on MAPREDUCE-6514:
---
FAILURE: Integrated in Hadoop-trunk-Commit #9728 (See
[https://builds.apache.org/job/Hadoop-trunk-Commit/9728/])
MAPREDUCE-6514. Fixed MapReduce ApplicationMaster to properly updated (vinodkv:
rev 8d48266720dcf0e71cfd87fef18b60a53aa1bef9)
*
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app/src/main/java/org/apache/hadoop/mapreduce/v2/app/rm/RMContainerRequestor.java
*
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app/src/test/java/org/apache/hadoop/mapreduce/v2/app/rm/TestRMContainerAllocator.java
*
hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-app/src/main/java/org/apache/hadoop/mapreduce/v2/app/rm/RMContainerAllocator.java
> Job hangs as ask is not updated after ramping down of all reducers
> --
>
> Key: MAPREDUCE-6514
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-6514
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Components: applicationmaster
>Reporter: Varun Saxena
>Assignee: Varun Saxena
>Priority: Blocker
> Attachments: MAPREDUCE-6514.01.patch, MAPREDUCE-6514.02.patch
>
>
> In RMContainerAllocator#preemptReducesIfNeeded, we simply clear the scheduled
> reduces map and put these reducers to pending. This is not updated in ask. So
> RM keeps on assigning and AM is not able to assign as no reducer is
> scheduled(check logs below the code).
> If this is updated immediately, RM will be able to schedule mappers
> immediately which anyways is the intention when we ramp down reducers.
> Scheduler need not allocate for ramped down reducers
> This if not handled can lead to map starvation as pointed out in
> MAPREDUCE-6513
> {code}
> LOG.info("Ramping down all scheduled reduces:"
> + scheduledRequests.reduces.size());
> for (ContainerRequest req : scheduledRequests.reduces.values()) {
> pendingReduces.add(req);
> }
> scheduledRequests.reduces.clear();
> {code}
> {noformat}
> 2015-10-13 04:55:04,912 INFO [RMCommunicator Allocator]
> org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Container not
> assigned : container_1437451211867_1485_01_000215
> 2015-10-13 04:55:04,912 INFO [RMCommunicator Allocator]
> org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Cannot assign
> container Container: [ContainerId: container_1437451211867_1485_01_000216,
> NodeId: hdszzdcxdat6g06u04p:26009, NodeHttpAddress:
> hdszzdcxdat6g06u04p:26010, Resource: , Priority: 10,
> Token: Token { kind: ContainerToken, service: 10.2.33.236:26009 }, ] for a
> reduce as either container memory less than required 4096 or no pending
> reduce tasks - reduces.isEmpty=true
> 2015-10-13 04:55:04,912 INFO [RMCommunicator Allocator]
> org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Container not
> assigned : container_1437451211867_1485_01_000216
> 2015-10-13 04:55:04,912 INFO [RMCommunicator Allocator]
> org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Cannot assign
> container Container: [ContainerId: container_1437451211867_1485_01_000217,
> NodeId: hdszzdcxdat6g06u06p:26009, NodeHttpAddress:
> hdszzdcxdat6g06u06p:26010, Resource: , Priority: 10,
> Token: Token { kind: ContainerToken, service: 10.2.33.239:26009 }, ] for a
> reduce as either container memory less than required 4096 or no pending
> reduce tasks - reduces.isEmpty=true
> {noformat}
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[jira] [Commented] (MAPREDUCE-6514) Job hangs as ask is not updated after ramping down of all reducers
[
https://issues.apache.org/jira/browse/MAPREDUCE-6514?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15273364#comment-15273364
]
Wangda Tan commented on MAPREDUCE-6514:
---
[~vinodkv],
This behavior is commented by [~rohithsharma] above in above comment,
bq. As a result, number of containers count in the ask is increased as
explained in the below...
And because of MAPREDUCE-6302, it is possible that MR AM cancel all reducer
requests and re-add all reducer requests at the same heartbeat, so the
#containers increases fast in RM side and finally it becomes a enormous number.
Since MAPREDUCE-6302 is included by branch-2.6/2.7, we need to back port this
patch to branch-2.6/2.7 as well.
> Job hangs as ask is not updated after ramping down of all reducers
> --
>
> Key: MAPREDUCE-6514
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-6514
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Components: applicationmaster
>Reporter: Varun Saxena
>Assignee: Varun Saxena
>Priority: Blocker
> Attachments: MAPREDUCE-6514.01.patch, MAPREDUCE-6514.02.patch
>
>
> In RMContainerAllocator#preemptReducesIfNeeded, we simply clear the scheduled
> reduces map and put these reducers to pending. This is not updated in ask. So
> RM keeps on assigning and AM is not able to assign as no reducer is
> scheduled(check logs below the code).
> If this is updated immediately, RM will be able to schedule mappers
> immediately which anyways is the intention when we ramp down reducers.
> Scheduler need not allocate for ramped down reducers
> This if not handled can lead to map starvation as pointed out in
> MAPREDUCE-6513
> {code}
> LOG.info("Ramping down all scheduled reduces:"
> + scheduledRequests.reduces.size());
> for (ContainerRequest req : scheduledRequests.reduces.values()) {
> pendingReduces.add(req);
> }
> scheduledRequests.reduces.clear();
> {code}
> {noformat}
> 2015-10-13 04:55:04,912 INFO [RMCommunicator Allocator]
> org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Container not
> assigned : container_1437451211867_1485_01_000215
> 2015-10-13 04:55:04,912 INFO [RMCommunicator Allocator]
> org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Cannot assign
> container Container: [ContainerId: container_1437451211867_1485_01_000216,
> NodeId: hdszzdcxdat6g06u04p:26009, NodeHttpAddress:
> hdszzdcxdat6g06u04p:26010, Resource: , Priority: 10,
> Token: Token { kind: ContainerToken, service: 10.2.33.236:26009 }, ] for a
> reduce as either container memory less than required 4096 or no pending
> reduce tasks - reduces.isEmpty=true
> 2015-10-13 04:55:04,912 INFO [RMCommunicator Allocator]
> org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Container not
> assigned : container_1437451211867_1485_01_000216
> 2015-10-13 04:55:04,912 INFO [RMCommunicator Allocator]
> org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Cannot assign
> container Container: [ContainerId: container_1437451211867_1485_01_000217,
> NodeId: hdszzdcxdat6g06u06p:26009, NodeHttpAddress:
> hdszzdcxdat6g06u06p:26010, Resource: , Priority: 10,
> Token: Token { kind: ContainerToken, service: 10.2.33.239:26009 }, ] for a
> reduce as either container memory less than required 4096 or no pending
> reduce tasks - reduces.isEmpty=true
> {noformat}
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[jira] [Commented] (MAPREDUCE-6514) Job hangs as ask is not updated after ramping down of all reducers
[
https://issues.apache.org/jira/browse/MAPREDUCE-6514?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15273338#comment-15273338
]
Vinod Kumar Vavilapalli commented on MAPREDUCE-6514:
The patch looks good to me now. Tx [~leftnoteasy] for finishing the patch on
behalf of [~varun_saxena]!
BTW, why is this a blocker on the 2.6 / 2.7 maint lines?
> Job hangs as ask is not updated after ramping down of all reducers
> --
>
> Key: MAPREDUCE-6514
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-6514
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Components: applicationmaster
>Reporter: Varun Saxena
>Assignee: Varun Saxena
>Priority: Blocker
> Attachments: MAPREDUCE-6514.01.patch, MAPREDUCE-6514.02.patch
>
>
> In RMContainerAllocator#preemptReducesIfNeeded, we simply clear the scheduled
> reduces map and put these reducers to pending. This is not updated in ask. So
> RM keeps on assigning and AM is not able to assign as no reducer is
> scheduled(check logs below the code).
> If this is updated immediately, RM will be able to schedule mappers
> immediately which anyways is the intention when we ramp down reducers.
> Scheduler need not allocate for ramped down reducers
> This if not handled can lead to map starvation as pointed out in
> MAPREDUCE-6513
> {code}
> LOG.info("Ramping down all scheduled reduces:"
> + scheduledRequests.reduces.size());
> for (ContainerRequest req : scheduledRequests.reduces.values()) {
> pendingReduces.add(req);
> }
> scheduledRequests.reduces.clear();
> {code}
> {noformat}
> 2015-10-13 04:55:04,912 INFO [RMCommunicator Allocator]
> org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Container not
> assigned : container_1437451211867_1485_01_000215
> 2015-10-13 04:55:04,912 INFO [RMCommunicator Allocator]
> org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Cannot assign
> container Container: [ContainerId: container_1437451211867_1485_01_000216,
> NodeId: hdszzdcxdat6g06u04p:26009, NodeHttpAddress:
> hdszzdcxdat6g06u04p:26010, Resource: , Priority: 10,
> Token: Token { kind: ContainerToken, service: 10.2.33.236:26009 }, ] for a
> reduce as either container memory less than required 4096 or no pending
> reduce tasks - reduces.isEmpty=true
> 2015-10-13 04:55:04,912 INFO [RMCommunicator Allocator]
> org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Container not
> assigned : container_1437451211867_1485_01_000216
> 2015-10-13 04:55:04,912 INFO [RMCommunicator Allocator]
> org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Cannot assign
> container Container: [ContainerId: container_1437451211867_1485_01_000217,
> NodeId: hdszzdcxdat6g06u06p:26009, NodeHttpAddress:
> hdszzdcxdat6g06u06p:26010, Resource: , Priority: 10,
> Token: Token { kind: ContainerToken, service: 10.2.33.239:26009 }, ] for a
> reduce as either container memory less than required 4096 or no pending
> reduce tasks - reduces.isEmpty=true
> {noformat}
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[jira] [Commented] (MAPREDUCE-6514) Job hangs as ask is not updated after ramping down of all reducers
[
https://issues.apache.org/jira/browse/MAPREDUCE-6514?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15272856#comment-15272856
]
Hadoop QA commented on MAPREDUCE-6514:
--
| (/) *{color:green}+1 overall{color}* |
\\
\\
|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | {color:blue} reexec {color} | {color:blue} 0m 11s
{color} | {color:blue} Docker mode activated. {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:green}+1{color} | {color:green} mvninstall {color} | {color:green} 7m
7s {color} | {color:green} trunk passed {color} |
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{color} | {color:green} trunk passed with JDK v1.8.0_91 {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 0m 22s
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| {color:green}+1{color} | {color:green} javadoc {color} | {color:green} 0m 18s
{color} | {color:green} trunk passed with JDK v1.7.0_95 {color} |
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 0m
23s {color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 0m 17s
{color} | {color:green} the patch passed with JDK v1.8.0_91 {color} |
| {color:green}+1{color} | {color:green} javac {color} | {color:green} 0m 17s
{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 0m 20s
{color} | {color:green} the patch passed with JDK v1.7.0_95 {color} |
| {color:green}+1{color} | {color:green} javac {color} | {color:green} 0m 20s
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| {color:green}+1{color} | {color:green} unit {color} | {color:green} 8m 13s
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| {color:green}+1{color} | {color:green} unit {color} | {color:green} 8m 49s
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{color} |
| {color:black}{color} | {color:black} {color} | {color:black} 31m 47s {color}
| {color:black} {color} |
\\
\\
|| Subsystem || Report/Notes ||
| Docker | Image:yetus/hadoop:cf2ee45 |
| JIRA Patch URL |
https://issues.apache.org/jira/secure/attachment/12802482/MAPREDUCE-6514.02.patch
|
| JIRA Issue | MAPREDUCE-6514 |
| Optional Tests | asflicense compile javac javadoc mvninstall mvnsite
unit findbugs checkstyle |
| uname | Linux 134bb84d3e93 3.13.0-36-lowlatency #63-Ubuntu SMP PREEMPT Wed
Sep 3 21:56:12 UTC 2014 x86_64 x86_64 x86_64 GNU/Linux |
| Build tool | maven |
| Personality | /testptch/hadoop/patchprocess/precommit/personality/provided.sh
|
| git revision | trunk / d0da132 |
| Default Java | 1.7.0_95
[jira] [Commented] (MAPREDUCE-6514) Job hangs as ask is not updated after ramping down of all reducers
[
https://issues.apache.org/jira/browse/MAPREDUCE-6514?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14982766#comment-14982766
]
Varun Saxena commented on MAPREDUCE-6514:
-
Test failure to be handled by YARN-4320
> Job hangs as ask is not updated after ramping down of all reducers
> --
>
> Key: MAPREDUCE-6514
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-6514
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Components: applicationmaster
>Affects Versions: 2.7.1
>Reporter: Varun Saxena
>Assignee: Varun Saxena
>Priority: Critical
> Attachments: MAPREDUCE-6514.01.patch
>
>
> In RMContainerAllocator#preemptReducesIfNeeded, we simply clear the scheduled
> reduces map and put these reducers to pending. This is not updated in ask. So
> RM keeps on assigning and AM is not able to assign as no reducer is
> scheduled(check logs below the code).
> If this is updated immediately, RM will be able to schedule mappers
> immediately which anyways is the intention when we ramp down reducers.
> Scheduler need not allocate for ramped down reducers
> This if not handled can lead to map starvation as pointed out in
> MAPREDUCE-6513
> {code}
> LOG.info("Ramping down all scheduled reduces:"
> + scheduledRequests.reduces.size());
> for (ContainerRequest req : scheduledRequests.reduces.values()) {
> pendingReduces.add(req);
> }
> scheduledRequests.reduces.clear();
> {code}
> {noformat}
> 2015-10-13 04:55:04,912 INFO [RMCommunicator Allocator]
> org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Container not
> assigned : container_1437451211867_1485_01_000215
> 2015-10-13 04:55:04,912 INFO [RMCommunicator Allocator]
> org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Cannot assign
> container Container: [ContainerId: container_1437451211867_1485_01_000216,
> NodeId: hdszzdcxdat6g06u04p:26009, NodeHttpAddress:
> hdszzdcxdat6g06u04p:26010, Resource: , Priority: 10,
> Token: Token { kind: ContainerToken, service: 10.2.33.236:26009 }, ] for a
> reduce as either container memory less than required 4096 or no pending
> reduce tasks - reduces.isEmpty=true
> 2015-10-13 04:55:04,912 INFO [RMCommunicator Allocator]
> org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Container not
> assigned : container_1437451211867_1485_01_000216
> 2015-10-13 04:55:04,912 INFO [RMCommunicator Allocator]
> org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Cannot assign
> container Container: [ContainerId: container_1437451211867_1485_01_000217,
> NodeId: hdszzdcxdat6g06u06p:26009, NodeHttpAddress:
> hdszzdcxdat6g06u06p:26010, Resource: , Priority: 10,
> Token: Token { kind: ContainerToken, service: 10.2.33.239:26009 }, ] for a
> reduce as either container memory less than required 4096 or no pending
> reduce tasks - reduces.isEmpty=true
> {noformat}
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[jira] [Commented] (MAPREDUCE-6514) Job hangs as ask is not updated after ramping down of all reducers
[
https://issues.apache.org/jira/browse/MAPREDUCE-6514?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14981359#comment-14981359
]
Hadoop QA commented on MAPREDUCE-6514:
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| (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 6s
{color} | {color:blue} docker + precommit patch detected. {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:green}+1{color} | {color:green} mvninstall {color} | {color:green} 3m
30s {color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 0m 17s
{color} | {color:green} trunk passed with JDK v1.8.0_60 {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 0m 19s
{color} | {color:green} trunk passed with JDK v1.7.0_79 {color} |
| {color:green}+1{color} | {color:green} checkstyle {color} | {color:green} 0m
12s {color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} mvneclipse {color} | {color:green} 0m
13s {color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} findbugs {color} | {color:green} 0m
45s {color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green} 0m 16s
{color} | {color:green} trunk passed with JDK v1.8.0_60 {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green} 0m 17s
{color} | {color:green} trunk passed with JDK v1.7.0_79 {color} |
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 0m
21s {color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 0m 15s
{color} | {color:green} the patch passed with JDK v1.8.0_60 {color} |
| {color:green}+1{color} | {color:green} javac {color} | {color:green} 0m 15s
{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 0m 17s
{color} | {color:green} the patch passed with JDK v1.7.0_79 {color} |
| {color:green}+1{color} | {color:green} javac {color} | {color:green} 0m 17s
{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} checkstyle {color} | {color:green} 0m
10s {color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} mvneclipse {color} | {color:green} 0m
13s {color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} whitespace {color} | {color:green} 0m
0s {color} | {color:green} Patch has no whitespace issues. {color} |
| {color:green}+1{color} | {color:green} findbugs {color} | {color:green} 0m
50s {color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green} 0m 14s
{color} | {color:green} the patch passed with JDK v1.8.0_60 {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green} 0m 18s
{color} | {color:green} the patch passed with JDK v1.7.0_79 {color} |
| {color:red}-1{color} | {color:red} unit {color} | {color:red} 9m 42s {color}
| {color:red} hadoop-mapreduce-client-app in the patch failed with JDK
v1.8.0_60. {color} |
| {color:red}-1{color} | {color:red} unit {color} | {color:red} 10m 9s {color}
| {color:red} hadoop-mapreduce-client-app in the patch failed with JDK
v1.7.0_79. {color} |
| {color:red}-1{color} | {color:red} asflicense {color} | {color:red} 0m 22s
{color} | {color:red} Patch generated 7 ASF License warnings. {color} |
| {color:black}{color} | {color:black} {color} | {color:black} 29m 45s {color}
| {color:black} {color} |
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|| Reason || Tests ||
| JDK v1.7.0_79 Failed junit tests | hadoop.mapreduce.v2.app.TestRecovery |
| | hadoop.mapreduce.jobhistory.TestJobHistoryEventHandler |
| | hadoop.mapreduce.jobhistory.TestJobHistoryEventHandler |
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|| Subsystem || Report/Notes ||
| Docker | Client=1.7.1 Server=1.7.1
Image:test-patch-base-hadoop-date2015-10-29 |
| JIRA Patch URL |
https://issues.apache.org/jira/secure/attachment/12769614/MAPREDUCE-6514.01.patch
|
| JIRA Issue | MAPREDUCE-6514 |
| Optional Tests | asflicense javac javadoc mvninstall unit findbugs
checkstyle compile |
| uname | Linux 1f4486852554 3.13.0-36-lowlatency #63-Ubuntu SMP PREEMPT Wed
Sep 3 21:56:12 UTC 2014 x86_64 x86_64 x86_64 GNU/Linux |
| Build tool | maven |
| Personality |
/home/jenkins/jenkins-slave/workspace/PreCommit-MAPREDUCE-Build/patchprocess/apache-yetus-c3a2069/precommit/personality/hadoop.sh
|
| git revis
