subject:"\[jira\] \[Commented\] \(YARN\-4140\) RM container allocation delayed incase of app submitted to Nodelabel partition"

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2017-06-03 Thread Hadoop QA (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16035904#comment-16035904
 ] 

Hadoop QA commented on YARN-4140:
-

| (x) *{color:red}-1 overall{color}* |
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hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-common in 
branch-2.7 has 3 extant Findbugs warnings. {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green}  0m 
33s{color} | {color:green} branch-2.7 passed with JDK v1.8.0_131 {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green}  0m 
44s{color} | {color:green} branch-2.7 passed with JDK v1.7.0_131 {color} |
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hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server: The patch generated 9 new + 
405 unchanged - 0 fixed = 414 total (was 405) {color} |
| {color:green}+1{color} | {color:green} mvnsite {color} | {color:green}  0m 
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0s{color} | {color:red} The patch has 4527 line(s) that end in whitespace. Use 
git apply --whitespace=fix <>. Refer 
https://git-scm.com/docs/git-apply {color} |
| {color:red}-1{color} | {color:red} whitespace {color} | {color:red}  2m  
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24s{color} | {color:green} hadoop-yarn-server-common in the patch passed with 
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| {color:red}-1{color} | {color:red} unit {color} | {color:red} 51m 21s{color} 
| {color:red} hadoop-yarn-server-resourcemanager in the patch failed with JDK 
v1.7.0_131. {color} |
| {color:green}+1{color} | {color:green} asflicense {color} | {color:green}  0m 
17s{color} | {color:green} The patch does not generate

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2017-06-02 Thread Jonathan Hung (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16035789#comment-16035789
 ] 

Jonathan Hung commented on YARN-4140:
-

Most unit test failures will be fixed with YARN-4250, 
TestAMAuthorization/TestClientRMTokens/TestRMHA look unrelated (YARN-4318, 
YARN-4306, YARN-4927)

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: scheduler
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
>  Labels: release-blocker
> Fix For: 2.8.0, 3.0.0-alpha1
>
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch, 0011-YARN-4140.patch, 
> 0012-YARN-4140.patch, 0013-YARN-4140.patch, 0014-YARN-4140.patch, 
> YARN-4140-branch-2.7.001.patch, YARN-4140-branch-2.7.002.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0,

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2017-06-02 Thread Hadoop QA (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16035786#comment-16035786
 ] 

Hadoop QA commented on YARN-4140:
-

| (x) *{color:red}-1 overall{color}* |
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\\
|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | {color:blue} reexec {color} | {color:blue} 15m 
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| {color:green}+1{color} | {color:green} test4tests {color} | {color:green}  0m 
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files. {color} |
| {color:blue}0{color} | {color:blue} mvndep {color} | {color:blue}  0m 
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| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green}  5m 
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41s{color} | {color:red} 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-common in 
branch-2.7 has 3 extant Findbugs warnings. {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green}  0m 
33s{color} | {color:green} branch-2.7 passed with JDK v1.8.0_131 {color} |
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55s{color} | {color:green} the patch passed {color} |
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9s{color} | {color:green} the patch passed with JDK v1.7.0_131 {color} |
| {color:green}+1{color} | {color:green} javac {color} | {color:green}  1m  
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0m 26s{color} | {color:orange} 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server: The patch generated 9 new + 
405 unchanged - 0 fixed = 414 total (was 405) {color} |
| {color:green}+1{color} | {color:green} mvnsite {color} | {color:green}  0m 
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1s{color} | {color:red} The patch has 4123 line(s) that end in whitespace. Use 
git apply --whitespace=fix <>. Refer 
https://git-scm.com/docs/git-apply {color} |
| {color:red}-1{color} | {color:red} whitespace {color} | {color:red}  1m 
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2s{color} | {color:green} the patch passed {color} |
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28s{color} | {color:green} the patch passed with JDK v1.8.0_131 {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green}  0m 
37s{color} | {color:green} the patch passed with JDK v1.7.0_131 {color} |
| {color:green}+1{color} | {color:green} unit {color} | {color:green}  0m 
24s{color} | {color:green} hadoop-yarn-server-common in the patch passed with 
JDK v1.7.0_131. {color} |
| {color:red}-1{color} | {color:red} unit {color} | {color:red} 53m 37s{color} 
| {color:red} hadoop-yarn-server-resourcemanager in the patch failed with JDK 
v1.7.0_131. {color} |
| {color:green}+1{color} | {color:green} asflicense {color} | {color:green}  0m 
17s{color} | {color:green} The patch does not generate

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2017-06-02 Thread Jonathan Hung (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16035738#comment-16035738
 ] 

Jonathan Hung commented on YARN-4140:
-

Thanks [~shv], attached branch-2.7 002 patch.

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: scheduler
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
>  Labels: release-blocker
> Fix For: 2.8.0, 3.0.0-alpha1
>
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch, 0011-YARN-4140.patch, 
> 0012-YARN-4140.patch, 0013-YARN-4140.patch, 0014-YARN-4140.patch, 
> YARN-4140-branch-2.7.001.patch, YARN-4140-branch-2.7.002.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0,

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2017-06-02 Thread Konstantin Shvachko (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16035723#comment-16035723
 ] 

Konstantin Shvachko commented on YARN-4140:
---

The backport patch looks good. Minor nits in 
{{TestNodeLabelContainerAllocation}}:
# you can remove 3 unused imports: Arrays, HashSet, RMNode
# and remove unused variable nm1 in testResourceRequestUpdateNodePartitions

Otherwise LGTM.

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: scheduler
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
>  Labels: release-blocker
> Fix For: 2.8.0, 3.0.0-alpha1
>
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch, 0011-YARN-4140.patch, 
> 0012-YARN-4140.patch, 0013-YARN-4140.patch, 0014-YARN-4140.patch, 
> YARN-4140-branch-2.7.001.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue:

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2017-06-01 Thread Hadoop QA (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16034041#comment-16034041
 ] 

Hadoop QA commented on YARN-4140:
-

| (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  
0s{color} | {color:blue} Docker mode activated. {color} |
| {color:red}-1{color} | {color:red} docker {color} | {color:red}  3m  
0s{color} | {color:red} Docker failed to build yetus/hadoop:c420dfe. {color} |
\\
\\
|| Subsystem || Report/Notes ||
| JIRA Issue | YARN-4140 |
| JIRA Patch URL | 
https://issues.apache.org/jira/secure/attachment/12870904/YARN-4140-branch-2.7.001.patch
 |
| Console output | 
https://builds.apache.org/job/PreCommit-YARN-Build/16077/console |
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This message was automatically generated.



> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: scheduler
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
>  Labels: release-blocker
> Fix For: 2.8.0, 3.0.0-alpha1
>
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch, 0011-YARN-4140.patch, 
> 0012-YARN-4140.patch, 0013-YARN-4140.patch, 0014-YARN-4140.patch, 
> YARN-4140-branch-2.7.001.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1,

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2017-06-01 Thread Jonathan Hung (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16034039#comment-16034039
 ] 

Jonathan Hung commented on YARN-4140:
-

Attached a branch-2.7 patch.

There were a few conflicts:
# AppSchedulingInfo cleanup in YARN-4524
# TestNodeLabelContainerAllocation was created in YARN-3361
# YARN-3357 consolidated the two TestFifoScheduler classes

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: scheduler
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
>  Labels: release-blocker
> Fix For: 2.8.0, 3.0.0-alpha1
>
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch, 0011-YARN-4140.patch, 
> 0012-YARN-4140.patch, 0013-YARN-4140.patch, 0014-YARN-4140.patch, 
> YARN-4140-branch-2.7.001.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue:

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2017-05-31 Thread Konstantin Shvachko (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16032114#comment-16032114
 ] 

Konstantin Shvachko commented on YARN-4140:
---

Hey [~bibinchundatt] did you want to work on porting this to branch-2.7?
Would appreciate your help.

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: scheduler
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
>  Labels: release-blocker
> Fix For: 2.8.0, 3.0.0-alpha1
>
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch, 0011-YARN-4140.patch, 
> 0012-YARN-4140.patch, 0013-YARN-4140.patch, 0014-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0,

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-11-19 Thread Naganarasimha G R (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15013240#comment-15013240
 ] 

Naganarasimha G R commented on YARN-4140:
-

Yes [~wangda] you are right, if 2.8 is in near future then there is no point in 
pushing these issues to 2.7.x release. But all our fixes/improvements makes the 
NodeLabel more usable hence was trying to push at least the important ones !

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: scheduler
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Fix For: 2.8.0
>
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch, 0011-YARN-4140.patch, 
> 0012-YARN-4140.patch, 0013-YARN-4140.patch, 0014-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
>

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-11-18 Thread Wangda Tan (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15012336#comment-15012336
 ] 

Wangda Tan commented on YARN-4140:
--

[~Naganarasimha]/[~sunilg], I agree we should try best to stabilize node label 
for 2.7.x releases. And I understand webUI/REST API are all very important.

My biggest concern is many of these REST API fixes are feature/improvements 
instead of bug fixes, and they're all non-trivial patches. I would prefer to 
commit only critical and/or safe bug fixes to branch-2.7. And we're planning 
2.8 now, it has many improvements/stabilizations to node label features, I 
think we should suggest people to try 2.8 if they want to use node label in 
production.

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: scheduler
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Fix For: 2.8.0
>
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch, 0011-YARN-4140.patch, 
> 0012-YARN-4140.patch, 0013-YARN-4140.patch, 0014-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=,

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-11-16 Thread Wangda Tan (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15007360#comment-15007360
 ] 

Wangda Tan commented on YARN-4140:
--

I think we may need to consider to put this to next 2.7 release, this solved 
allocation issue when using MR (or other locality required application under 
node label). Thoughts? [~bibinchundatt]/[~sunilg]/[~Naganarasimha].

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: scheduler
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Fix For: 2.8.0
>
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch, 0011-YARN-4140.patch, 
> 0012-YARN-4140.patch, 0013-YARN-4140.patch, 0014-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=,

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-11-16 Thread Naganarasimha G R (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15007588#comment-15007588
 ] 

Naganarasimha G R commented on YARN-4140:
-

Yes [~wangda], we need to atleast selectively pick few jira's from the list i 
shared in forum, if not usability will be an issue for the guys who are using 
based on 2.7 versions. i think even Webui indicating the partition information 
and the REST are all basic requirements to use NodeLabels.

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: scheduler
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Fix For: 2.8.0
>
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch, 0011-YARN-4140.patch, 
> 0012-YARN-4140.patch, 0013-YARN-4140.patch, 0014-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue:

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-11-16 Thread Bibin A Chundatt (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15007967#comment-15007967
 ] 

Bibin A Chundatt commented on YARN-4140:


+1 for merging in 2.7 .

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: scheduler
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Fix For: 2.8.0
>
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch, 0011-YARN-4140.patch, 
> 0012-YARN-4140.patch, 0013-YARN-4140.patch, 0014-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
> {code}
>

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-11-16 Thread Sunil G (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15007767#comment-15007767
 ] 

Sunil G commented on YARN-4140:
---

This ticket is good candidate for 2.7  line as we will be running in to this 
problem mostly with MR cases. +1.

As for the list, I feel most of them are fine. But we can try avoid some big 
patches from that as it may not be tested thoroughly. WebUI and REST related 
tickets wil be very useful for 2.7 line of release as it gives more details and 
clarity for labels (easy to understand allocation details and for debugging)

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: scheduler
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Fix For: 2.8.0
>
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch, 0011-YARN-4140.patch, 
> 0012-YARN-4140.patch, 0013-YARN-4140.patch, 0014-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-10-10 Thread Hudson (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14951658#comment-14951658
 ] 

Hudson commented on YARN-4140:
--

FAILURE: Integrated in Hadoop-Hdfs-trunk #2417 (See 
[https://builds.apache.org/job/Hadoop-Hdfs-trunk/2417/])
YARN-4140. RM container allocation delayed incase of app submitted to (wangda: 
rev def374e666ed0c1d665aeb1b7307e09769448138)
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-common/src/main/java/org/apache/hadoop/yarn/server/utils/BuilderUtils.java
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fifo/TestFifoScheduler.java
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/AppSchedulingInfo.java
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/TestNodeLabelContainerAllocation.java
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/FairSchedulerTestBase.java
* hadoop-yarn-project/CHANGES.txt


> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: scheduler
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Fix For: 2.8.0
>
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch, 0011-YARN-4140.patch, 
> 0012-YARN-4140.patch, 0013-YARN-4140.patch, 0014-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-10-09 Thread Hudson (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14951494#comment-14951494
 ] 

Hudson commented on YARN-4140:
--

SUCCESS: Integrated in Hadoop-trunk-Commit #8604 (See 
[https://builds.apache.org/job/Hadoop-trunk-Commit/8604/])
YARN-4140. RM container allocation delayed incase of app submitted to (wangda: 
rev def374e666ed0c1d665aeb1b7307e09769448138)
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fifo/TestFifoScheduler.java
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/AppSchedulingInfo.java
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/FairSchedulerTestBase.java
* hadoop-yarn-project/CHANGES.txt
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/TestNodeLabelContainerAllocation.java
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-common/src/main/java/org/apache/hadoop/yarn/server/utils/BuilderUtils.java


> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: scheduler
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Fix For: 2.8.0
>
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch, 0011-YARN-4140.patch, 
> 0012-YARN-4140.patch, 0013-YARN-4140.patch, 0014-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-10-09 Thread Hudson (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14951525#comment-14951525
 ] 

Hudson commented on YARN-4140:
--

FAILURE: Integrated in Hadoop-Yarn-trunk-Java8 #518 (See 
[https://builds.apache.org/job/Hadoop-Yarn-trunk-Java8/518/])
YARN-4140. RM container allocation delayed incase of app submitted to (wangda: 
rev def374e666ed0c1d665aeb1b7307e09769448138)
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fifo/TestFifoScheduler.java
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/AppSchedulingInfo.java
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-common/src/main/java/org/apache/hadoop/yarn/server/utils/BuilderUtils.java
* hadoop-yarn-project/CHANGES.txt
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/FairSchedulerTestBase.java
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/TestNodeLabelContainerAllocation.java


> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: scheduler
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Fix For: 2.8.0
>
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch, 0011-YARN-4140.patch, 
> 0012-YARN-4140.patch, 0013-YARN-4140.patch, 0014-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1,

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-10-09 Thread Hudson (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14951544#comment-14951544
 ] 

Hudson commented on YARN-4140:
--

FAILURE: Integrated in Hadoop-Mapreduce-trunk-Java8 #507 (See 
[https://builds.apache.org/job/Hadoop-Mapreduce-trunk-Java8/507/])
YARN-4140. RM container allocation delayed incase of app submitted to (wangda: 
rev def374e666ed0c1d665aeb1b7307e09769448138)
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-common/src/main/java/org/apache/hadoop/yarn/server/utils/BuilderUtils.java
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fifo/TestFifoScheduler.java
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/TestNodeLabelContainerAllocation.java
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/AppSchedulingInfo.java
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/FairSchedulerTestBase.java
* hadoop-yarn-project/CHANGES.txt


> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: scheduler
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Fix For: 2.8.0
>
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch, 0011-YARN-4140.patch, 
> 0012-YARN-4140.patch, 0013-YARN-4140.patch, 0014-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1,

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-10-09 Thread Hudson (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14951499#comment-14951499
 ] 

Hudson commented on YARN-4140:
--

FAILURE: Integrated in Hadoop-Yarn-trunk #1244 (See 
[https://builds.apache.org/job/Hadoop-Yarn-trunk/1244/])
YARN-4140. RM container allocation delayed incase of app submitted to (wangda: 
rev def374e666ed0c1d665aeb1b7307e09769448138)
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/FairSchedulerTestBase.java
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/TestNodeLabelContainerAllocation.java
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/AppSchedulingInfo.java
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-common/src/main/java/org/apache/hadoop/yarn/server/utils/BuilderUtils.java
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fifo/TestFifoScheduler.java
* hadoop-yarn-project/CHANGES.txt


> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: scheduler
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Fix For: 2.8.0
>
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch, 0011-YARN-4140.patch, 
> 0012-YARN-4140.patch, 0013-YARN-4140.patch, 0014-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-10-09 Thread Bibin A Chundatt (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14951554#comment-14951554
 ] 

Bibin A Chundatt commented on YARN-4140:


 Thank you [~leftnoteasy] for review and committing 

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: scheduler
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Fix For: 2.8.0
>
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch, 0011-YARN-4140.patch, 
> 0012-YARN-4140.patch, 0013-YARN-4140.patch, 0014-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
> {code}
>

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-10-09 Thread Hudson (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14951565#comment-14951565
 ] 

Hudson commented on YARN-4140:
--

FAILURE: Integrated in Hadoop-Hdfs-trunk-Java8 #479 (See 
[https://builds.apache.org/job/Hadoop-Hdfs-trunk-Java8/479/])
YARN-4140. RM container allocation delayed incase of app submitted to (wangda: 
rev def374e666ed0c1d665aeb1b7307e09769448138)
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-common/src/main/java/org/apache/hadoop/yarn/server/utils/BuilderUtils.java
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/AppSchedulingInfo.java
* hadoop-yarn-project/CHANGES.txt
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/TestNodeLabelContainerAllocation.java
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/FairSchedulerTestBase.java
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fifo/TestFifoScheduler.java


> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: scheduler
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Fix For: 2.8.0
>
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch, 0011-YARN-4140.patch, 
> 0012-YARN-4140.patch, 0013-YARN-4140.patch, 0014-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1,

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-10-09 Thread Hudson (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14951561#comment-14951561
 ] 

Hudson commented on YARN-4140:
--

FAILURE: Integrated in Hadoop-Mapreduce-trunk #2452 (See 
[https://builds.apache.org/job/Hadoop-Mapreduce-trunk/2452/])
YARN-4140. RM container allocation delayed incase of app submitted to (wangda: 
rev def374e666ed0c1d665aeb1b7307e09769448138)
* hadoop-yarn-project/CHANGES.txt
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/AppSchedulingInfo.java
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/FairSchedulerTestBase.java
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/capacity/TestNodeLabelContainerAllocation.java
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-common/src/main/java/org/apache/hadoop/yarn/server/utils/BuilderUtils.java
* 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fifo/TestFifoScheduler.java


> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: scheduler
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Fix For: 2.8.0
>
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch, 0011-YARN-4140.patch, 
> 0012-YARN-4140.patch, 0013-YARN-4140.patch, 0014-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1,

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-10-08 Thread Wangda Tan (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14949586#comment-14949586
 ] 

Wangda Tan commented on YARN-4140:
--

Thanks for update, [~bibinchundatt], patch looks good, pending Jenkins.

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch, 0011-YARN-4140.patch, 
> 0012-YARN-4140.patch, 0013-YARN-4140.patch, 0014-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
> {code}
>

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-10-08 Thread Bibin A Chundatt (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14949747#comment-14949747
 ] 

Bibin A Chundatt commented on YARN-4140:


Hi [~leftnoteasy]

Thanks for looking into it.Release audit warning not related to current patch

{noformat}
/home/jenkins/jenkins-slave/workspace/PreCommit-YARN-Build/hadoop-hdfs-project/hadoop-hdfs-native-client/src/main/native/fuse-dfs/util/tree.h
Lines that start with ? in the release audit  report indicate files that do 
not have an Apache license header.
{noformat}

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch, 0011-YARN-4140.patch, 
> 0012-YARN-4140.patch, 0013-YARN-4140.patch, 0014-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
>

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-10-08 Thread Hadoop QA (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14949737#comment-14949737
 ] 

Hadoop QA commented on YARN-4140:
-

\\
\\
| (x) *{color:red}-1 overall{color}* |
\\
\\
|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | pre-patch |  20m 35s | Pre-patch trunk compilation is 
healthy. |
| {color:green}+1{color} | @author |   0m  0s | The patch does not contain any 
@author tags. |
| {color:green}+1{color} | tests included |   0m  0s | The patch appears to 
include 3 new or modified test files. |
| {color:green}+1{color} | javac |   9m  0s | There were no new javac warning 
messages. |
| {color:green}+1{color} | javadoc |  11m 40s | There were no new javadoc 
warning messages. |
| {color:red}-1{color} | release audit |   0m 21s | The applied patch generated 
1 release audit warnings. |
| {color:green}+1{color} | checkstyle |   1m 23s | There were no new checkstyle 
issues. |
| {color:green}+1{color} | whitespace |   0m  1s | The patch has no lines that 
end in whitespace. |
| {color:green}+1{color} | install |   1m 46s | mvn install still works. |
| {color:green}+1{color} | eclipse:eclipse |   0m 38s | The patch built with 
eclipse:eclipse. |
| {color:green}+1{color} | findbugs |   2m 55s | The patch does not introduce 
any new Findbugs (version 3.0.0) warnings. |
| {color:green}+1{color} | yarn tests |   0m 29s | Tests passed in 
hadoop-yarn-server-common. |
| {color:green}+1{color} | yarn tests |  63m 31s | Tests passed in 
hadoop-yarn-server-resourcemanager. |
| | | 112m 23s | |
\\
\\
|| Subsystem || Report/Notes ||
| Patch URL | 
http://issues.apache.org/jira/secure/attachment/12764796/0014-YARN-4140.patch |
| Optional Tests | javadoc javac unit findbugs checkstyle |
| git revision | trunk / 8d22622 |
| Release Audit | 
https://builds.apache.org/job/PreCommit-YARN-Build/9385/artifact/patchprocess/patchReleaseAuditProblems.txt
 |
| hadoop-yarn-server-common test log | 
https://builds.apache.org/job/PreCommit-YARN-Build/9385/artifact/patchprocess/testrun_hadoop-yarn-server-common.txt
 |
| hadoop-yarn-server-resourcemanager test log | 
https://builds.apache.org/job/PreCommit-YARN-Build/9385/artifact/patchprocess/testrun_hadoop-yarn-server-resourcemanager.txt
 |
| Test Results | 
https://builds.apache.org/job/PreCommit-YARN-Build/9385/testReport/ |
| Java | 1.7.0_55 |
| uname | Linux asf909.gq1.ygridcore.net 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 |
| Console output | 
https://builds.apache.org/job/PreCommit-YARN-Build/9385/console |


This message was automatically generated.

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch, 0011-YARN-4140.patch, 
> 0012-YARN-4140.patch, 0013-YARN-4140.patch, 0014-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
>

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-10-02 Thread Bibin A Chundatt (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14941450#comment-14941450
 ] 

Bibin A Chundatt commented on YARN-4140:


Uploaded new patch for the same.
# String lastAnyRequestLabel = null; is not necessary. - Added check not update 
label for ANY since it gets handled already as part of code available and 
lastRequest label will be correct for queue and appUsage.
# Only formating is done now.
# Handled FIFO and Fair testcase correction

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch, 0011-YARN-4140.patch, 
> 0012-YARN-4140.patch, 0013-YARN-4140.patch, 0014-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-10-02 Thread Hadoop QA (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14941583#comment-14941583
 ] 

Hadoop QA commented on YARN-4140:
-

\\
\\
| (x) *{color:red}-1 overall{color}* |
\\
\\
|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | pre-patch |  17m 33s | Pre-patch trunk compilation is 
healthy. |
| {color:green}+1{color} | @author |   0m  0s | The patch does not contain any 
@author tags. |
| {color:green}+1{color} | tests included |   0m  0s | The patch appears to 
include 3 new or modified test files. |
| {color:green}+1{color} | javac |   7m 51s | There were no new javac warning 
messages. |
| {color:green}+1{color} | javadoc |  10m  2s | There were no new javadoc 
warning messages. |
| {color:red}-1{color} | release audit |   0m 16s | The applied patch generated 
1 release audit warnings. |
| {color:green}+1{color} | checkstyle |   1m 12s | There were no new checkstyle 
issues. |
| {color:green}+1{color} | whitespace |   0m  1s | The patch has no lines that 
end in whitespace. |
| {color:green}+1{color} | install |   1m 30s | mvn install still works. |
| {color:green}+1{color} | eclipse:eclipse |   0m 34s | The patch built with 
eclipse:eclipse. |
| {color:green}+1{color} | findbugs |   2m 32s | The patch does not introduce 
any new Findbugs (version 3.0.0) warnings. |
| {color:green}+1{color} | yarn tests |   0m 26s | Tests passed in 
hadoop-yarn-server-common. |
| {color:green}+1{color} | yarn tests |  60m 14s | Tests passed in 
hadoop-yarn-server-resourcemanager. |
| | | 102m 14s | |
\\
\\
|| Subsystem || Report/Notes ||
| Patch URL | 
http://issues.apache.org/jira/secure/attachment/12764796/0014-YARN-4140.patch |
| Optional Tests | javadoc javac unit findbugs checkstyle |
| git revision | trunk / 439f43a |
| Release Audit | 
https://builds.apache.org/job/PreCommit-YARN-Build/9331/artifact/patchprocess/patchReleaseAuditProblems.txt
 |
| hadoop-yarn-server-common test log | 
https://builds.apache.org/job/PreCommit-YARN-Build/9331/artifact/patchprocess/testrun_hadoop-yarn-server-common.txt
 |
| hadoop-yarn-server-resourcemanager test log | 
https://builds.apache.org/job/PreCommit-YARN-Build/9331/artifact/patchprocess/testrun_hadoop-yarn-server-resourcemanager.txt
 |
| Test Results | 
https://builds.apache.org/job/PreCommit-YARN-Build/9331/testReport/ |
| Java | 1.7.0_55 |
| uname | Linux asf905.gq1.ygridcore.net 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 |
| Console output | 
https://builds.apache.org/job/PreCommit-YARN-Build/9331/console |


This message was automatically generated.

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch, 0011-YARN-4140.patch, 
> 0012-YARN-4140.patch, 0013-YARN-4140.patch, 0014-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
>

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-10-01 Thread Wangda Tan (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14940177#comment-14940177
 ] 

Wangda Tan commented on YARN-4140:
--

Hi [~bibinchundatt],
Thanks for update, several minor comments:
1)
{{String lastAnyRequestLabel = null;}} is not necessary.

2) 
Changes after
{code}
// update queue:
Resource increasedResource =
Resources.multiply(request.getCapability(),
request.getNumContainers());
{code}
Could be removed 

3) isRequestLabelChanged still checks null of expression, could be removed as 
well. Fair/FIFO tests could be failed because of this, this is caused by they 
are using mockito so requests aren't processed by SchedulerUtils.normalize... I 
suggest fix test instead of putting the logic to main code.

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch, 0011-YARN-4140.patch, 
> 0012-YARN-4140.patch, 0013-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
>

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-10-01 Thread Hadoop QA (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14939395#comment-14939395
 ] 

Hadoop QA commented on YARN-4140:
-

\\
\\
| (x) *{color:red}-1 overall{color}* |
\\
\\
|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | pre-patch |  17m 36s | Pre-patch trunk compilation is 
healthy. |
| {color:green}+1{color} | @author |   0m  0s | The patch does not contain any 
@author tags. |
| {color:green}+1{color} | tests included |   0m  0s | The patch appears to 
include 1 new or modified test files. |
| {color:green}+1{color} | javac |   8m 14s | There were no new javac warning 
messages. |
| {color:green}+1{color} | javadoc |  10m  8s | There were no new javadoc 
warning messages. |
| {color:red}-1{color} | release audit |   0m 16s | The applied patch generated 
1 release audit warnings. |
| {color:green}+1{color} | checkstyle |   0m 50s | There were no new checkstyle 
issues. |
| {color:green}+1{color} | whitespace |   0m  0s | The patch has no lines that 
end in whitespace. |
| {color:green}+1{color} | install |   1m 30s | mvn install still works. |
| {color:green}+1{color} | eclipse:eclipse |   0m 33s | The patch built with 
eclipse:eclipse. |
| {color:green}+1{color} | findbugs |   1m 29s | The patch does not introduce 
any new Findbugs (version 3.0.0) warnings. |
| {color:green}+1{color} | yarn tests |  59m 59s | Tests passed in 
hadoop-yarn-server-resourcemanager. |
| | | 100m 38s | |
\\
\\
|| Subsystem || Report/Notes ||
| Patch URL | 
http://issues.apache.org/jira/secure/attachment/12764536/0013-YARN-4140.patch |
| Optional Tests | javadoc javac unit findbugs checkstyle |
| git revision | trunk / 5db371f |
| Release Audit | 
https://builds.apache.org/job/PreCommit-YARN-Build/9317/artifact/patchprocess/patchReleaseAuditProblems.txt
 |
| hadoop-yarn-server-resourcemanager test log | 
https://builds.apache.org/job/PreCommit-YARN-Build/9317/artifact/patchprocess/testrun_hadoop-yarn-server-resourcemanager.txt
 |
| Test Results | 
https://builds.apache.org/job/PreCommit-YARN-Build/9317/testReport/ |
| Java | 1.7.0_55 |
| uname | Linux asf905.gq1.ygridcore.net 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 |
| Console output | 
https://builds.apache.org/job/PreCommit-YARN-Build/9317/console |


This message was automatically generated.

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch, 0011-YARN-4140.patch, 
> 0012-YARN-4140.patch, 0013-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
>

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-09-28 Thread Bibin A Chundatt (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14933636#comment-14933636
 ] 

Bibin A Chundatt commented on YARN-4140:


Checkstyle issues are not from modified lines of code and Testcase failure are 
unrelated

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch, 0011-YARN-4140.patch, 
> 0012-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
> {code}
>

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-09-28 Thread Hadoop QA (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14933582#comment-14933582
 ] 

Hadoop QA commented on YARN-4140:
-

\\
\\
| (x) *{color:red}-1 overall{color}* |
\\
\\
|| Vote || Subsystem || Runtime || Comment ||
| {color:red}-1{color} | pre-patch |  16m  2s | Findbugs (version ) appears to 
be broken on trunk. |
| {color:green}+1{color} | @author |   0m  0s | The patch does not contain any 
@author tags. |
| {color:green}+1{color} | tests included |   0m  0s | The patch appears to 
include 1 new or modified test files. |
| {color:green}+1{color} | javac |   8m 12s | There were no new javac warning 
messages. |
| {color:green}+1{color} | javadoc |  10m 29s | There were no new javadoc 
warning messages. |
| {color:green}+1{color} | release audit |   0m 26s | The applied patch does 
not increase the total number of release audit warnings. |
| {color:red}-1{color} | checkstyle |   0m 42s | The applied patch generated  
39 new checkstyle issues (total was 0, now 39). |
| {color:green}+1{color} | whitespace |   0m  0s | The patch has no lines that 
end in whitespace. |
| {color:green}+1{color} | install |   1m 34s | mvn install still works. |
| {color:green}+1{color} | eclipse:eclipse |   0m 37s | The patch built with 
eclipse:eclipse. |
| {color:green}+1{color} | findbugs |   1m 33s | The patch does not introduce 
any new Findbugs (version 3.0.0) warnings. |
| {color:red}-1{color} | yarn tests |  61m 49s | Tests failed in 
hadoop-yarn-server-resourcemanager. |
| | | 101m 29s | |
\\
\\
|| Reason || Tests ||
| Failed unit tests | 
hadoop.yarn.server.resourcemanager.scheduler.fair.TestAllocationFileLoaderService
 |
\\
\\
|| Subsystem || Report/Notes ||
| Patch URL | 
http://issues.apache.org/jira/secure/attachment/12764031/0012-YARN-4140.patch |
| Optional Tests | javadoc javac unit findbugs checkstyle |
| git revision | trunk / 892ade6 |
| checkstyle |  
https://builds.apache.org/job/PreCommit-YARN-Build/9286/artifact/patchprocess/diffcheckstylehadoop-yarn-server-resourcemanager.txt
 |
| hadoop-yarn-server-resourcemanager test log | 
https://builds.apache.org/job/PreCommit-YARN-Build/9286/artifact/patchprocess/testrun_hadoop-yarn-server-resourcemanager.txt
 |
| Test Results | 
https://builds.apache.org/job/PreCommit-YARN-Build/9286/testReport/ |
| Java | 1.7.0_55 |
| uname | Linux asf905.gq1.ygridcore.net 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 |
| Console output | 
https://builds.apache.org/job/PreCommit-YARN-Build/9286/console |


This message was automatically generated.

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch, 0011-YARN-4140.patch, 
> 0012-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-09-25 Thread Sunil G (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14908250#comment-14908250
 ] 

Sunil G commented on YARN-4140:
---

Hi [~bibinchundatt]
One more minor nit:
bq.private boolean isRequestLabelChanged(ResourceRequest currentRequest, 
ResourceRequest previousRequest)
I think Its better we can change argument names here to {{requestOne}}, 
{{requestTwo}} as we are already using it in both contexts.

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0,

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-09-25 Thread Bibin A Chundatt (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14908798#comment-14908798
 ] 

Bibin A Chundatt commented on YARN-4140:


Failures are not related to his patch

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch, 0011-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
> {code}
> dsperf@host-127:/opt/bibin/dsperf/HAINSTALL/install/hadoop/resourcemanager/logs1>
>  cat

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-09-24 Thread Wangda Tan (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14906823#comment-14906823
 ] 

Wangda Tan commented on YARN-4140:
--

bq. Can this scenario be possible ? IIRC, MR its not possible but may be 
possible in other apps ? 
I remember we have previously solved some corner cases like this, I'm not 100% 
sure, but I assume this could happen.

bq. Currrently the increment and decrements is happening only for Any request 
so updates not required .
Agree

[~bibinchundatt], could you update the patch to latest trunk? 

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0,

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-09-24 Thread Naganarasimha G R (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14907466#comment-14907466
 ] 

Naganarasimha G R commented on YARN-4140:
-

Hi [~bibinchundatt] & [~wangda],
Thanks for clarifications,
bq. I remember we have previously solved some corner cases like this, I'm not 
100% sure, but I assume this could happen.
 i thought {{if ((null == previousAnyRequest)}} was added only for this case 
and inc and dec are not handled but as [~bibinchundatt] clarified its not only 
for that and the corner case doesn't completely handled as  increment and 
decrements is happening only for Any request.
Latest patch lgtm.


> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Naganarasimha G R
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
>

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-09-24 Thread Hadoop QA (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14907544#comment-14907544
 ] 

Hadoop QA commented on YARN-4140:
-

\\
\\
| (/) *{color:green}+1 overall{color}* |
\\
\\
|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | pre-patch |  17m 11s | Pre-patch trunk compilation is 
healthy. |
| {color:green}+1{color} | @author |   0m  0s | The patch does not contain any 
@author tags. |
| {color:green}+1{color} | tests included |   0m  0s | The patch appears to 
include 1 new or modified test files. |
| {color:green}+1{color} | javac |   8m  6s | There were no new javac warning 
messages. |
| {color:green}+1{color} | javadoc |  10m 18s | There were no new javadoc 
warning messages. |
| {color:green}+1{color} | release audit |   0m 24s | The applied patch does 
not increase the total number of release audit warnings. |
| {color:green}+1{color} | checkstyle |   0m 51s | There were no new checkstyle 
issues. |
| {color:green}+1{color} | whitespace |   0m  0s | The patch has no lines that 
end in whitespace. |
| {color:green}+1{color} | install |   1m 46s | mvn install still works. |
| {color:green}+1{color} | eclipse:eclipse |   0m 40s | The patch built with 
eclipse:eclipse. |
| {color:green}+1{color} | findbugs |   1m 40s | The patch does not introduce 
any new Findbugs (version 3.0.0) warnings. |
| {color:green}+1{color} | yarn tests |  66m 55s | Tests passed in 
hadoop-yarn-server-resourcemanager. |
| | | 107m 57s | |
\\
\\
|| Subsystem || Report/Notes ||
| Patch URL | 
http://issues.apache.org/jira/secure/attachment/12762301/0010-YARN-4140.patch |
| Optional Tests | javadoc javac unit findbugs checkstyle |
| git revision | trunk / d1b9b85 |
| hadoop-yarn-server-resourcemanager test log | 
https://builds.apache.org/job/PreCommit-YARN-Build/9263/artifact/patchprocess/testrun_hadoop-yarn-server-resourcemanager.txt
 |
| Test Results | 
https://builds.apache.org/job/PreCommit-YARN-Build/9263/testReport/ |
| Java | 1.7.0_55 |
| uname | Linux asf909.gq1.ygridcore.net 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 |
| Console output | 
https://builds.apache.org/job/PreCommit-YARN-Build/9263/console |


This message was automatically generated.

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch, 0010-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests:

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-09-23 Thread Naganarasimha G R (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14905012#comment-14905012
 ] 

Naganarasimha G R commented on YARN-4140:
-

thanks for the patch [~bibinchundatt], and for the approach by [~wangda], 
But i had few queries :
# bq. Previous we don't have ANY request, this may not happen, but we can 
protect this corner case.
Can this scenario be possible ? IIRC, MR its not possible but may be possible 
in other apps ? 
If so is it req to handle {{incPendingResourcesForLabel}} and 
{{decPendingResourceForLabel}} for such requests currently we are doing for 
only {{previousAnyRequest}} only .
# I think the modifications for updates would not be required when 
{{recoverPreemptedRequest}} is true right ?

Small nit, not exactly related to the patch, method parameter {{requests}} 
could be renamed as {{updatedRequests}} and the local variable in the for loop 
as {{updatedRequest}}, so that its more readable as currently a member with the 
same name {{requests}}  

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
>

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-09-23 Thread Bibin A Chundatt (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14905818#comment-14905818
 ] 

Bibin A Chundatt commented on YARN-4140:


Synced offline with [~Naganarasimha Garla]

{quote}
If so is it req to handle incPendingResourcesForLabel and 
decPendingResourceForLabel for such requests currently we are doing for only 
previousAnyRequest only .
{quote}
Currrently the increment and decrements is happening only for *Any* request so 
updates not required .
{quote}
I think the modifications for updates would not be required when 
recoverPreemptedRequest is true right ?
{quote}
Not mandatory change to be done.
{quote}
currently a member with the same name requests
{quote}
As part of YARN-4157 the same is getting changed

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-09-22 Thread Hadoop QA (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14903374#comment-14903374
 ] 

Hadoop QA commented on YARN-4140:
-

\\
\\
| (x) *{color:red}-1 overall{color}* |
\\
\\
|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | pre-patch |  18m 44s | Pre-patch trunk compilation is 
healthy. |
| {color:green}+1{color} | @author |   0m  0s | The patch does not contain any 
@author tags. |
| {color:green}+1{color} | tests included |   0m  0s | The patch appears to 
include 1 new or modified test files. |
| {color:green}+1{color} | javac |   8m  7s | There were no new javac warning 
messages. |
| {color:green}+1{color} | javadoc |  10m 10s | There were no new javadoc 
warning messages. |
| {color:green}+1{color} | release audit |   0m 24s | The applied patch does 
not increase the total number of release audit warnings. |
| {color:green}+1{color} | checkstyle |   0m 49s | There were no new checkstyle 
issues. |
| {color:green}+1{color} | whitespace |   0m  1s | The patch has no lines that 
end in whitespace. |
| {color:green}+1{color} | install |   1m 29s | mvn install still works. |
| {color:green}+1{color} | eclipse:eclipse |   0m 33s | The patch built with 
eclipse:eclipse. |
| {color:green}+1{color} | findbugs |   1m 29s | The patch does not introduce 
any new Findbugs (version 3.0.0) warnings. |
| {color:red}-1{color} | yarn tests |  54m 23s | Tests failed in 
hadoop-yarn-server-resourcemanager. |
| | |  96m 15s | |
\\
\\
|| Reason || Tests ||
| Failed unit tests | 
hadoop.yarn.server.resourcemanager.TestWorkPreservingRMRestart |
\\
\\
|| Subsystem || Report/Notes ||
| Patch URL | 
http://issues.apache.org/jira/secure/attachment/12761696/0009-YARN-4140.patch |
| Optional Tests | javadoc javac unit findbugs checkstyle |
| git revision | trunk / cc2b473 |
| hadoop-yarn-server-resourcemanager test log | 
https://builds.apache.org/job/PreCommit-YARN-Build/9233/artifact/patchprocess/testrun_hadoop-yarn-server-resourcemanager.txt
 |
| Test Results | 
https://builds.apache.org/job/PreCommit-YARN-Build/9233/testReport/ |
| Java | 1.7.0_55 |
| uname | Linux asf903.gq1.ygridcore.net 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 |
| Console output | 
https://builds.apache.org/job/PreCommit-YARN-Build/9233/console |


This message was automatically generated.

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch, 
> 0009-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
>

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-09-22 Thread Sunil G (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14902662#comment-14902662
 ] 

Sunil G commented on YARN-4140:
---

Hi [~bibinchundatt]
Thanks for updating patch. 

Some minor nits:
1. {{incPendingResourcesForLabel}} and {{decPendingResourceForLabel}} need not 
have to take ResourceRequest as argument. Only label expression is to be passed 
along with resource.
2. In below code
{code}
  } else {
ResourceRequest anyRequest = getResourceRequest(priority,
ResourceRequest.ANY);
if (anyRequest != null) {
  request.setNodeLabelExpression(anyRequest.getNodeLabelExpression());
}
 }
{code}
for any other resource requests, label expression is set as from anyRequest. 
One of point here
 - If user is not specified any label expression, then also we forcefully set 
{{anyRequest.getNodeLabelExpression()}} in all requests. It can be null too. 
Such cases can be invalidated.

3. In testResourceRequestUpdateNodePartitions, before sending second changed AM 
resource request, could you also add few more NODE_LOCAL or RACK_LOCAL (some 
priority to ANY, and some after ANY). This can help in hitting some more areas 
in code.


> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=,

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-09-22 Thread Hadoop QA (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14902756#comment-14902756
 ] 

Hadoop QA commented on YARN-4140:
-

\\
\\
| (x) *{color:red}-1 overall{color}* |
\\
\\
|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | pre-patch |  16m 41s | Pre-patch trunk compilation is 
healthy. |
| {color:green}+1{color} | @author |   0m  0s | The patch does not contain any 
@author tags. |
| {color:green}+1{color} | tests included |   0m  0s | The patch appears to 
include 1 new or modified test files. |
| {color:green}+1{color} | javac |   7m 59s | There were no new javac warning 
messages. |
| {color:green}+1{color} | javadoc |  10m 16s | There were no new javadoc 
warning messages. |
| {color:green}+1{color} | release audit |   0m 25s | The applied patch does 
not increase the total number of release audit warnings. |
| {color:green}+1{color} | checkstyle |   0m 49s | There were no new checkstyle 
issues. |
| {color:green}+1{color} | whitespace |   0m  1s | The patch has no lines that 
end in whitespace. |
| {color:green}+1{color} | install |   1m 28s | mvn install still works. |
| {color:green}+1{color} | eclipse:eclipse |   0m 34s | The patch built with 
eclipse:eclipse. |
| {color:green}+1{color} | findbugs |   1m 28s | The patch does not introduce 
any new Findbugs (version 3.0.0) warnings. |
| {color:red}-1{color} | yarn tests |  57m 33s | Tests failed in 
hadoop-yarn-server-resourcemanager. |
| | |  97m 18s | |
\\
\\
|| Reason || Tests ||
| Failed unit tests | 
hadoop.yarn.server.resourcemanager.webapp.TestRMWebServicesDelegationTokens |
|   | hadoop.yarn.server.resourcemanager.scheduler.fair.TestFairScheduler |
|   | hadoop.yarn.server.resourcemanager.scheduler.fifo.TestFifoScheduler |
| Timed out tests | 
org.apache.hadoop.yarn.server.resourcemanager.webapp.TestRMWebServicesAppsModification
 |
\\
\\
|| Subsystem || Report/Notes ||
| Patch URL | 
http://issues.apache.org/jira/secure/attachment/12761638/0008-YARN-4140.patch |
| Optional Tests | javadoc javac unit findbugs checkstyle |
| git revision | trunk / 57003fa |
| hadoop-yarn-server-resourcemanager test log | 
https://builds.apache.org/job/PreCommit-YARN-Build/9232/artifact/patchprocess/testrun_hadoop-yarn-server-resourcemanager.txt
 |
| Test Results | 
https://builds.apache.org/job/PreCommit-YARN-Build/9232/testReport/ |
| Java | 1.7.0_55 |
| uname | Linux asf905.gq1.ygridcore.net 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 |
| Console output | 
https://builds.apache.org/job/PreCommit-YARN-Build/9232/console |


This message was automatically generated.

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch, 0008-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests:

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-09-21 Thread Bibin A Chundatt (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14900524#comment-14900524
 ] 

Bibin A Chundatt commented on YARN-4140:


They are related will check how to update testcases for that.

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
> {code}
> dsperf@host-127:/opt/bibin/dsperf/HAINSTALL/install/hadoop/resourcemanager/logs1>
>  cat hadoop-dsperf-resourcemanager-host-127.log | grep "NODE_LOCAL" | grep 
> "root.b.b1" | wc -l
> 500

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-09-21 Thread Bibin A Chundatt (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14900498#comment-14900498
 ] 

Bibin A Chundatt commented on YARN-4140:


Will recheck {{TestNodeLabelContainerAllocation }} failures

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
> {code}
> dsperf@host-127:/opt/bibin/dsperf/HAINSTALL/install/hadoop/resourcemanager/logs1>
>  cat hadoop-dsperf-resourcemanager-host-127.log | grep "NODE_LOCAL" | grep 
> "root.b.b1" | wc -l
> 500
>

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-09-19 Thread Bibin A Chundatt (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14877032#comment-14877032
 ] 

Bibin A Chundatt commented on YARN-4140:


Failures are not due to current patch.
{noformat}
hadoop.yarn.server.resourcemanager.scheduler.fair.TestAllocationFileLoaderService
hadoop.yarn.server.resourcemanager.ahs.TestRMApplicationHistoryWriter 
{noformat}
Reason class not found and {{TestNodeLabelContainerAllocation}} testcases 
failed on trunk even with out patch.

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1,

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-09-19 Thread Hadoop QA (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14877022#comment-14877022
 ] 

Hadoop QA commented on YARN-4140:
-

\\
\\
| (x) *{color:red}-1 overall{color}* |
\\
\\
|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | pre-patch |  16m 40s | Pre-patch trunk compilation is 
healthy. |
| {color:green}+1{color} | @author |   0m  0s | The patch does not contain any 
@author tags. |
| {color:green}+1{color} | tests included |   0m  0s | The patch appears to 
include 1 new or modified test files. |
| {color:green}+1{color} | javac |   7m 47s | There were no new javac warning 
messages. |
| {color:green}+1{color} | javadoc |   9m 58s | There were no new javadoc 
warning messages. |
| {color:green}+1{color} | release audit |   0m 24s | The applied patch does 
not increase the total number of release audit warnings. |
| {color:green}+1{color} | checkstyle |   0m 51s | There were no new checkstyle 
issues. |
| {color:green}+1{color} | whitespace |   0m  0s | The patch has no lines that 
end in whitespace. |
| {color:green}+1{color} | install |   1m 31s | mvn install still works. |
| {color:green}+1{color} | eclipse:eclipse |   0m 34s | The patch built with 
eclipse:eclipse. |
| {color:green}+1{color} | findbugs |   1m 26s | The patch does not introduce 
any new Findbugs (version 3.0.0) warnings. |
| {color:red}-1{color} | yarn tests |  57m 24s | Tests failed in 
hadoop-yarn-server-resourcemanager. |
| | |  96m 39s | |
\\
\\
|| Reason || Tests ||
| Failed unit tests | 
hadoop.yarn.server.resourcemanager.scheduler.fair.TestAllocationFileLoaderService
 |
|   | 
hadoop.yarn.server.resourcemanager.scheduler.capacity.TestNodeLabelContainerAllocation
 |
|   | hadoop.yarn.server.resourcemanager.ahs.TestRMApplicationHistoryWriter |
\\
\\
|| Subsystem || Report/Notes ||
| Patch URL | 
http://issues.apache.org/jira/secure/attachment/12761269/0007-YARN-4140.patch |
| Optional Tests | javadoc javac unit findbugs checkstyle |
| git revision | trunk / e3ace31 |
| hadoop-yarn-server-resourcemanager test log | 
https://builds.apache.org/job/PreCommit-YARN-Build/9218/artifact/patchprocess/testrun_hadoop-yarn-server-resourcemanager.txt
 |
| Test Results | 
https://builds.apache.org/job/PreCommit-YARN-Build/9218/testReport/ |
| Java | 1.7.0_55 |
| uname | Linux asf905.gq1.ygridcore.net 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 |
| Console output | 
https://builds.apache.org/job/PreCommit-YARN-Build/9218/console |


This message was automatically generated.

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch, 0007-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
>

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-09-18 Thread Wangda Tan (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14876004#comment-14876004
 ] 

Wangda Tan commented on YARN-4140:
--

[~bibinchundatt], could you take a look at test failures? They look like 
related to changes of this patch.

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch, 
> 0006-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
> {code}
> dsperf@host-127:/opt/bibin/dsperf/HAINSTALL/install/hadoop/resourcemanager/logs1>
>  cat hadoop-dsperf-resourcemanager-host-127.log | grep "NODE_LOCAL" | grep 
> "root.b.b1" |

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-09-17 Thread Bibin A Chundatt (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14803398#comment-14803398
 ] 

Bibin A Chundatt commented on YARN-4140:


Thanks [~leftnoteasy] for review and comments.

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
> {code}
> dsperf@host-127:/opt/bibin/dsperf/HAINSTALL/install/hadoop/resourcemanager/logs1>
>  cat hadoop-dsperf-resourcemanager-host-127.log | grep "NODE_LOCAL" | grep 
> "root.b.b1" | wc -l
> 500
> {code}
>  
> (Consumes about 6 minutes)
>  



--
This

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-09-17 Thread Hadoop QA (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14804452#comment-14804452
 ] 

Hadoop QA commented on YARN-4140:
-

\\
\\
| (x) *{color:red}-1 overall{color}* |
\\
\\
|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | pre-patch |  17m 10s | Pre-patch trunk compilation is 
healthy. |
| {color:green}+1{color} | @author |   0m  0s | The patch does not contain any 
@author tags. |
| {color:green}+1{color} | tests included |   0m  0s | The patch appears to 
include 1 new or modified test files. |
| {color:green}+1{color} | javac |   8m  1s | There were no new javac warning 
messages. |
| {color:green}+1{color} | javadoc |  10m 27s | There were no new javadoc 
warning messages. |
| {color:green}+1{color} | release audit |   0m 24s | The applied patch does 
not increase the total number of release audit warnings. |
| {color:green}+1{color} | checkstyle |   0m 53s | There were no new checkstyle 
issues. |
| {color:red}-1{color} | whitespace |   0m  0s | The patch has 1  line(s) that 
end in whitespace. Use git apply --whitespace=fix. |
| {color:green}+1{color} | install |   1m 34s | mvn install still works. |
| {color:green}+1{color} | eclipse:eclipse |   0m 34s | The patch built with 
eclipse:eclipse. |
| {color:green}+1{color} | findbugs |   1m 32s | The patch does not introduce 
any new Findbugs (version 3.0.0) warnings. |
| {color:red}-1{color} | yarn tests |  55m 41s | Tests failed in 
hadoop-yarn-server-resourcemanager. |
| | |  96m 19s | |
\\
\\
|| Reason || Tests ||
| Failed unit tests | 
hadoop.yarn.server.resourcemanager.scheduler.capacity.TestNodeLabelContainerAllocation
 |
|   | hadoop.yarn.server.resourcemanager.scheduler.fifo.TestFifoScheduler |
|   | hadoop.yarn.server.resourcemanager.scheduler.fair.TestFairScheduler |
|   | hadoop.yarn.server.resourcemanager.TestClientRMService |
\\
\\
|| Subsystem || Report/Notes ||
| Patch URL | 
http://issues.apache.org/jira/secure/attachment/12757131/0005-YARN-4140.patch |
| Optional Tests | javadoc javac unit findbugs checkstyle |
| git revision | trunk / 3f82f58 |
| whitespace | 
https://builds.apache.org/job/PreCommit-YARN-Build/9196/artifact/patchprocess/whitespace.txt
 |
| hadoop-yarn-server-resourcemanager test log | 
https://builds.apache.org/job/PreCommit-YARN-Build/9196/artifact/patchprocess/testrun_hadoop-yarn-server-resourcemanager.txt
 |
| Test Results | 
https://builds.apache.org/job/PreCommit-YARN-Build/9196/testReport/ |
| Java | 1.7.0_55 |
| uname | Linux asf903.gq1.ygridcore.net 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 |
| Console output | 
https://builds.apache.org/job/PreCommit-YARN-Build/9196/console |


This message was automatically generated.

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch, 0005-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-09-16 Thread Wangda Tan (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14791044#comment-14791044
 ] 

Wangda Tan commented on YARN-4140:
--

[~bibinchundatt],
bq. The request order ANY will not be always the first one rt?
It won't be always the first one.

The pseudo code should be able to handle request.label correctly whether ANY 
requests come first or not.

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
> {code}
> dsperf@host-127:/opt/bibin/dsperf/HAINSTALL/install/hadoop/resourcemanager/logs1>
>  cat

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-09-15 Thread Wangda Tan (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14746449#comment-14746449
 ] 

Wangda Tan commented on YARN-4140:
--

To explain: above logic can avoid two more cases:
- Previous node/rack request has label="x", but now we update its any request's 
label="" (or vice versa)
- Previous we don't have ANY request, this may not happen, but we can protect 
this corner case.

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
> {code}
>

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-09-15 Thread Wangda Tan (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14746434#comment-14746434
 ] 

Wangda Tan commented on YARN-4140:
--

[~bibinchundatt],
Thanks for update, I think the structure could be optimized:

In my mind, it could be:
{code}
for (request : requests):
if (request.name == ANY):
// Original logics 

ResourceRequest oldAny = getRequest(request.priority, ANY);
if oldAny == null || oldAny.getLabel != request.getLabel:
// Update all requests in the priority
for (r: getRequests(request.priority)):
r.label = request.label
else:
// Original logics 

ResourceRequest any = getRequest(request.priority, ANY);
if (any != null):
request.label = any.label
{code}

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
>

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-09-15 Thread Bibin A Chundatt (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14746695#comment-14746695
 ] 

Bibin A Chundatt commented on YARN-4140:


Hi [~leftnoteasy]

The request order ANY will not be always the first one rt? So i Think  in first 
updateRequest will miss update of elements prior to ANY. Thts the reason i 
added 2 loops.

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch, 0004-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
> {code}
> dsperf@host-127:/opt/bibin/dsperf/HAINSTALL/install/hadoop/resourcemanager/logs1>
>  cat

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-09-14 Thread Hadoop QA (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14743483#comment-14743483
 ] 

Hadoop QA commented on YARN-4140:
-

\\
\\
| (/) *{color:green}+1 overall{color}* |
\\
\\
|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | pre-patch |  16m 56s | Pre-patch trunk compilation is 
healthy. |
| {color:green}+1{color} | @author |   0m  0s | The patch does not contain any 
@author tags. |
| {color:green}+1{color} | tests included |   0m  0s | The patch appears to 
include 1 new or modified test files. |
| {color:green}+1{color} | javac |   7m 58s | There were no new javac warning 
messages. |
| {color:green}+1{color} | javadoc |  10m 18s | There were no new javadoc 
warning messages. |
| {color:green}+1{color} | release audit |   0m 23s | The applied patch does 
not increase the total number of release audit warnings. |
| {color:green}+1{color} | checkstyle |   0m 50s | There were no new checkstyle 
issues. |
| {color:green}+1{color} | whitespace |   0m  0s | The patch has no lines that 
end in whitespace. |
| {color:green}+1{color} | install |   1m 30s | mvn install still works. |
| {color:green}+1{color} | eclipse:eclipse |   0m 36s | The patch built with 
eclipse:eclipse. |
| {color:green}+1{color} | findbugs |   1m 30s | The patch does not introduce 
any new Findbugs (version 3.0.0) warnings. |
| {color:green}+1{color} | yarn tests |  54m 58s | Tests passed in 
hadoop-yarn-server-resourcemanager. |
| | |  95m  2s | |
\\
\\
|| Subsystem || Report/Notes ||
| Patch URL | 
http://issues.apache.org/jira/secure/attachment/12755709/0003-YARN-4140.patch |
| Optional Tests | javadoc javac unit findbugs checkstyle |
| git revision | trunk / 6955771 |
| hadoop-yarn-server-resourcemanager test log | 
https://builds.apache.org/job/PreCommit-YARN-Build/9120/artifact/patchprocess/testrun_hadoop-yarn-server-resourcemanager.txt
 |
| Test Results | 
https://builds.apache.org/job/PreCommit-YARN-Build/9120/testReport/ |
| Java | 1.7.0_55 |
| uname | Linux asf905.gq1.ygridcore.net 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 |
| Console output | 
https://builds.apache.org/job/PreCommit-YARN-Build/9120/console |


This message was automatically generated.

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-09-14 Thread Wangda Tan (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14744487#comment-14744487
 ] 

Wangda Tan commented on YARN-4140:
--

Thanks [~bibinchundatt],
Few comments:
- It's no need to maintain an {{anyPrioritymap}}, getResourceRequest(Priority, 
resourceName) should enough.

Current logic seems not correct to me, it should cover following cases:
- Newly-added-non-ANY request should have same labelExpression of ANY request. 
(done in your patch already) 
- If ANY request newly added OR labelExpression changed of ANY request, you 
should update ALL resource requests' labelExpression. 

And if you agree about above logic, tests should cover above cases as well.

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0,

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-09-14 Thread Bibin A Chundatt (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14744735#comment-14744735
 ] 

Bibin A Chundatt commented on YARN-4140:


Hi [~leftnoteasy]

Thnks for the comments

Have a doubt regarding the below point
{quote}
If ANY request newly added OR labelExpression changed of ANY request, you 
should update ALL resource requests' labelExpression.
{quote}
This case will happen only when at run time we are changing label for an 
application rt??
Is it possible to change label of an application at runtime?? 

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch, 
> 0003-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-09-14 Thread Bibin A Chundatt (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14743001#comment-14743001
 ] 

Bibin A Chundatt commented on YARN-4140:


Hi [~Naganarasimha]
Thnks for the comment missed it. Have updated patch as per comments.

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch, 0002-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
> {code}
> dsperf@host-127:/opt/bibin/dsperf/HAINSTALL/install/hadoop/resourcemanager/logs1>
>  cat hadoop-dsperf-resourcemanager-host-127.log | grep "NODE_LOCAL" | grep 
> "root.b.b1" | wc -l
> 500
> {code}
>  
> (Consumes about 6 minutes)
>  



--
This message was sent by Atlassian

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-09-13 Thread Naganarasimha G R (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14742710#comment-14742710
 ] 

Naganarasimha G R commented on YARN-4140:
-

hi [~bibinchundatt],
Thanks for updating with a patch. Just took a high level look at it. Seems like 
we can optimize a bit here as node labels might not be always set.
Currently you are always looping through twice, instead first while checking 
for any Requests and we can populate anyPrioritymap map with additional check 
{code}
(null != anyResourceRequest.getNodeLabelExpression())
&& (!anyResourceRequest.getNodeLabelExpression().equals(
RMNodeLabelsManager.NO_LABEL))
{code}
after this loop if the map contains any element then we can loop for updating 
node & rack local request with NodeLabelExpression
Also HashMap anyPrioritymap => Map 
priorityToNodeLabelMapping 

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
> Attachments: 0001-YARN-4140.patch
>
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
>

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-09-10 Thread Sunil G (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14739282#comment-14739282
 ] 

Sunil G commented on YARN-4140:
---

HI [~leftnoteasy]

I have a doubt here. node-label expression is set in ANY by AM. Any reason why 
its not updated for node-local and rack-local there itself. Could you pls help 
to clarify.

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
> {code}
> dsperf@host-127:/opt/bibin/dsperf/HAINSTALL/install/hadoop/resourcemanager/logs1>
>  cat hadoop-dsperf-resourcemanager-host-127.log | grep "NODE_LOCAL" | grep 
> "root.b.b1" | wc -l
> 500
> {code}
>  
> (Consumes about 6 minutes)
>  



--
This message was

[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-09-10 Thread Sunil G (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14739368#comment-14739368
 ] 

Sunil G commented on YARN-4140:
---

Yes [~leftnoteasy]
Thank you clarifying the same. This makes sense. 

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
> {code}
> dsperf@host-127:/opt/bibin/dsperf/HAINSTALL/install/hadoop/resourcemanager/logs1>
>  cat hadoop-dsperf-resourcemanager-host-127.log | grep "NODE_LOCAL" | grep 
> "root.b.b1" | wc -l
> 500
> {code}
>  
> (Consumes about 6 minutes)
>  



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[jira] [Commented] (YARN-4140) RM container allocation delayed incase of app submitted to Nodelabel partition

2015-09-10 Thread Wangda Tan (JIRA)


[ 
https://issues.apache.org/jira/browse/YARN-4140?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14739349#comment-14739349
 ] 

Wangda Tan commented on YARN-4140:
--

We force client doesn't set node-label expression (in YARN-2694) because we 
don't want client set different node-label-expression for different 
resourceName in a same priority (for priority=2, "rack-1"'s 
node-label-expression="x", but "*"'s node-label-expression="y"). Remember we 
count pendingResource by using "*" of each priority.

But we can normalize node-label-expression once they sent to scheduler.

Make sense?

> RM container allocation delayed incase of app submitted to Nodelabel partition
> --
>
> Key: YARN-4140
> URL: https://issues.apache.org/jira/browse/YARN-4140
> Project: Hadoop YARN
>  Issue Type: Sub-task
>  Components: api, client, resourcemanager
>Reporter: Bibin A Chundatt
>Assignee: Bibin A Chundatt
>
> Trying to run application on Nodelabel partition I  found that the 
> application execution time is delayed by 5 – 10 min for 500 containers . 
> Total 3 machines 2 machines were in same partition and app submitted to same.
> After enabling debug was able to find the below
> # From AM the container ask is for OFF-SWITCH
> # RM allocating all containers to NODE_LOCAL as shown in logs below.
> # So since I was having about 500 containers time taken was about – 6 minutes 
> to allocate 1st map after AM allocation.
> # Tested with about 1K maps using PI job took 17 minutes to allocate  next 
> container after AM allocation
> Once 500 container allocation on NODE_LOCAL is done the next container 
> allocation is done on OFF_SWITCH
> {code}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> /default-rack, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: *, Relax 
> Locality: true, Node Label Expression: 3}
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-143, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerApplicationAttempt:
>  showRequests: application=application_1441791998224_0001 request={Priority: 
> 20, Capability: , # Containers: 500, Location: 
> host-10-19-92-117, Relax Locality: true, Node Label Expression: }
> 2015-09-09 15:21:58,954 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
>  
> {code}
> 2015-09-09 14:35:45,467 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:45,831 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,469 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> 2015-09-09 14:35:46,832 DEBUG 
> org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue: 
> Assigned to queue: root.b.b1 stats: b1: capacity=1.0, absoluteCapacity=0.5, 
> usedResources=, usedCapacity=0.0, 
> absoluteUsedCapacity=0.0, numApps=1, numContainers=1 -->  vCores:0>, NODE_LOCAL
> {code}
> {code}
>

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