[jira] [Commented] (YARN-2305) When a container is in reserved state then total cluster memory is displayed wrongly.
[ https://issues.apache.org/jira/browse/YARN-2305?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14589294#comment-14589294 ] Rohith commented on YARN-2305: -- Updated the duplicated id link. When a container is in reserved state then total cluster memory is displayed wrongly. - Key: YARN-2305 URL: https://issues.apache.org/jira/browse/YARN-2305 Project: Hadoop YARN Issue Type: Bug Components: resourcemanager Affects Versions: 2.4.1 Reporter: J.Andreina Assignee: Sunil G Attachments: Capture.jpg ENV Details: = 3 queues : a(50%),b(25%),c(25%) --- All max utilization is set to 100 2 Node cluster with total memory as 16GB TestSteps: = Execute following 3 jobs with different memory configurations for Map , reducer and AM task ./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=a -Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=2048 -Dyarn.app.mapreduce.am.resource.mb=1024 -Dmapreduce.reduce.memory.mb=2048 /dir8 /preempt_85 (application_1405414066690_0023) ./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=b -Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=2048 -Dyarn.app.mapreduce.am.resource.mb=2048 -Dmapreduce.reduce.memory.mb=2048 /dir2 /preempt_86 (application_1405414066690_0025) ./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=c -Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=1024 -Dyarn.app.mapreduce.am.resource.mb=1024 -Dmapreduce.reduce.memory.mb=1024 /dir2 /preempt_62 Issue = when 2GB memory is in reserved state totoal memory is shown as 15GB and used as 15GB ( while total memory is 16GB) -- This message was sent by Atlassian JIRA (v6.3.4#6332)
[jira] [Commented] (YARN-2305) When a container is in reserved state then total cluster memory is displayed wrongly.
[ https://issues.apache.org/jira/browse/YARN-2305?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14526423#comment-14526423 ] Sunil G commented on YARN-2305: --- Yes. This is can be closed. I have checked, and it was not occurring. Still i will perform few more tests, and if persists, I will reopen. Thank you [~leftnoteasy] When a container is in reserved state then total cluster memory is displayed wrongly. - Key: YARN-2305 URL: https://issues.apache.org/jira/browse/YARN-2305 Project: Hadoop YARN Issue Type: Bug Components: resourcemanager Affects Versions: 2.4.1 Reporter: J.Andreina Assignee: Sunil G Attachments: Capture.jpg ENV Details: = 3 queues : a(50%),b(25%),c(25%) --- All max utilization is set to 100 2 Node cluster with total memory as 16GB TestSteps: = Execute following 3 jobs with different memory configurations for Map , reducer and AM task ./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=a -Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=2048 -Dyarn.app.mapreduce.am.resource.mb=1024 -Dmapreduce.reduce.memory.mb=2048 /dir8 /preempt_85 (application_1405414066690_0023) ./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=b -Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=2048 -Dyarn.app.mapreduce.am.resource.mb=2048 -Dmapreduce.reduce.memory.mb=2048 /dir2 /preempt_86 (application_1405414066690_0025) ./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=c -Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=1024 -Dyarn.app.mapreduce.am.resource.mb=1024 -Dmapreduce.reduce.memory.mb=1024 /dir2 /preempt_62 Issue = when 2GB memory is in reserved state totoal memory is shown as 15GB and used as 15GB ( while total memory is 16GB) -- This message was sent by Atlassian JIRA (v6.3.4#6332)
[jira] [Commented] (YARN-2305) When a container is in reserved state then total cluster memory is displayed wrongly.
[ https://issues.apache.org/jira/browse/YARN-2305?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14066154#comment-14066154 ] Wangda Tan commented on YARN-2305: -- Thanks for your elaboration, I understand now, I think this is inconsistency between ParentQueue and LeafQueue, using clusterResource instead of allocated+available can definitely solve this problem. When a container is in reserved state then total cluster memory is displayed wrongly. - Key: YARN-2305 URL: https://issues.apache.org/jira/browse/YARN-2305 Project: Hadoop YARN Issue Type: Bug Components: resourcemanager Affects Versions: 2.4.1 Reporter: J.Andreina Assignee: Sunil G Attachments: Capture.jpg ENV Details: = 3 queues : a(50%),b(25%),c(25%) --- All max utilization is set to 100 2 Node cluster with total memory as 16GB TestSteps: = Execute following 3 jobs with different memory configurations for Map , reducer and AM task ./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=a -Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=2048 -Dyarn.app.mapreduce.am.resource.mb=1024 -Dmapreduce.reduce.memory.mb=2048 /dir8 /preempt_85 (application_1405414066690_0023) ./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=b -Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=2048 -Dyarn.app.mapreduce.am.resource.mb=2048 -Dmapreduce.reduce.memory.mb=2048 /dir2 /preempt_86 (application_1405414066690_0025) ./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=c -Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=1024 -Dyarn.app.mapreduce.am.resource.mb=1024 -Dmapreduce.reduce.memory.mb=1024 /dir2 /preempt_62 Issue = when 2GB memory is in reserved state totoal memory is shown as 15GB and used as 15GB ( while total memory is 16GB) -- This message was sent by Atlassian JIRA (v6.2#6252)
[jira] [Commented] (YARN-2305) When a container is in reserved state then total cluster memory is displayed wrongly.
[ https://issues.apache.org/jira/browse/YARN-2305?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14064732#comment-14064732 ] Hong Zhiguo commented on YARN-2305: --- Are you using fair scheduler? If yes, then I thinks it's the same reason of YARN-2306. When a container is in reserved state then total cluster memory is displayed wrongly. - Key: YARN-2305 URL: https://issues.apache.org/jira/browse/YARN-2305 Project: Hadoop YARN Issue Type: Bug Components: resourcemanager Affects Versions: 2.4.1 Reporter: J.Andreina ENV Details: = 3 queues : a(50%),b(25%),c(25%) --- All max utilization is set to 100 2 Node cluster with total memory as 16GB TestSteps: = Execute following 3 jobs with different memory configurations for Map , reducer and AM task ./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=a -Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=2048 -Dyarn.app.mapreduce.am.resource.mb=1024 -Dmapreduce.reduce.memory.mb=2048 /dir8 /preempt_85 (application_1405414066690_0023) ./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=b -Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=2048 -Dyarn.app.mapreduce.am.resource.mb=2048 -Dmapreduce.reduce.memory.mb=2048 /dir2 /preempt_86 (application_1405414066690_0025) ./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=c -Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=1024 -Dyarn.app.mapreduce.am.resource.mb=1024 -Dmapreduce.reduce.memory.mb=1024 /dir2 /preempt_62 Issue = when 2GB memory is in reserved state totoal memory is shown as 15GB and used as 15GB ( while total memory is 16GB) -- This message was sent by Atlassian JIRA (v6.2#6252)
[jira] [Commented] (YARN-2305) When a container is in reserved state then total cluster memory is displayed wrongly.
[ https://issues.apache.org/jira/browse/YARN-2305?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14064735#comment-14064735 ] J.Andreina commented on YARN-2305: -- Iam using Capacity Scheduler When a container is in reserved state then total cluster memory is displayed wrongly. - Key: YARN-2305 URL: https://issues.apache.org/jira/browse/YARN-2305 Project: Hadoop YARN Issue Type: Bug Components: resourcemanager Affects Versions: 2.4.1 Reporter: J.Andreina Assignee: Hong Zhiguo Attachments: Capture.jpg ENV Details: = 3 queues : a(50%),b(25%),c(25%) --- All max utilization is set to 100 2 Node cluster with total memory as 16GB TestSteps: = Execute following 3 jobs with different memory configurations for Map , reducer and AM task ./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=a -Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=2048 -Dyarn.app.mapreduce.am.resource.mb=1024 -Dmapreduce.reduce.memory.mb=2048 /dir8 /preempt_85 (application_1405414066690_0023) ./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=b -Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=2048 -Dyarn.app.mapreduce.am.resource.mb=2048 -Dmapreduce.reduce.memory.mb=2048 /dir2 /preempt_86 (application_1405414066690_0025) ./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=c -Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=1024 -Dyarn.app.mapreduce.am.resource.mb=1024 -Dmapreduce.reduce.memory.mb=1024 /dir2 /preempt_62 Issue = when 2GB memory is in reserved state totoal memory is shown as 15GB and used as 15GB ( while total memory is 16GB) -- This message was sent by Atlassian JIRA (v6.2#6252)
[jira] [Commented] (YARN-2305) When a container is in reserved state then total cluster memory is displayed wrongly.
[
https://issues.apache.org/jira/browse/YARN-2305?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14064736#comment-14064736
]
Sunil G commented on YARN-2305:
---
No. Its a capacity scheduler. I could collect logs from Andreina for same. I
will take over and analyze for Capacity Scheduler.
{noformat}
2014-07-15 16:56:50,720 INFO
org.apache.hadoop.yarn.server.resourcemanager.rmcontainer.RMContainerImpl:
container_1405414066690_0023_01_000129 Container Transitioned from NEW to
RESERVED
2014-07-15 16:56:50,720 INFO
org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.LeafQueue:
Reserved container application attempt=appattempt_1405414066690_0023_01
resource=memory:2048, vCores:1 queue=a: capacity=0.5, absoluteCapacity=0.5,
usedResources=memory:7168, vCores:4, usedCapacity=0.875,
absoluteUsedCapacity=0.4375, numApps=1, numContainers=4 node=host:
host-10-18-40-14:45026 #containers=4 available=1024 used=7168
clusterResource=memory:16384, vCores:16
2014-07-15 16:56:50,720 INFO
org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue:
Re-sorting assigned queue: root.a stats: a: capacity=0.5, absoluteCapacity=0.5,
usedResources=memory:9216, vCores:5, usedCapacity=1.125,
absoluteUsedCapacity=0.5625, numApps=1, numContainers=5
2014-07-15 16:56:50,720 INFO
org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.ParentQueue:
assignedContainer queue=root usedCapacity=1.0625 absoluteUsedCapacity=1.0625
used=memory:17408, vCores:10 cluster=memory:16384, vCores:16
{noformat}
When a container is in reserved state then total cluster memory is displayed
wrongly.
-
Key: YARN-2305
URL: https://issues.apache.org/jira/browse/YARN-2305
Project: Hadoop YARN
Issue Type: Bug
Components: resourcemanager
Affects Versions: 2.4.1
Reporter: J.Andreina
Assignee: Hong Zhiguo
Attachments: Capture.jpg
ENV Details:
=
3 queues : a(50%),b(25%),c(25%) --- All max utilization is set to
100
2 Node cluster with total memory as 16GB
TestSteps:
=
Execute following 3 jobs with different memory configurations for
Map , reducer and AM task
./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=a
-Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=2048
-Dyarn.app.mapreduce.am.resource.mb=1024 -Dmapreduce.reduce.memory.mb=2048
/dir8 /preempt_85 (application_1405414066690_0023)
./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=b
-Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=2048
-Dyarn.app.mapreduce.am.resource.mb=2048 -Dmapreduce.reduce.memory.mb=2048
/dir2 /preempt_86 (application_1405414066690_0025)
./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=c
-Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=1024
-Dyarn.app.mapreduce.am.resource.mb=1024 -Dmapreduce.reduce.memory.mb=1024
/dir2 /preempt_62
Issue
=
when 2GB memory is in reserved state totoal memory is shown as
15GB and used as 15GB ( while total memory is 16GB)
--
This message was sent by Atlassian JIRA
(v6.2#6252)
[jira] [Commented] (YARN-2305) When a container is in reserved state then total cluster memory is displayed wrongly.
[ https://issues.apache.org/jira/browse/YARN-2305?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14064737#comment-14064737 ] Sunil G commented on YARN-2305: --- Hi [~zhiguohong], Could I take over the issue.. When a container is in reserved state then total cluster memory is displayed wrongly. - Key: YARN-2305 URL: https://issues.apache.org/jira/browse/YARN-2305 Project: Hadoop YARN Issue Type: Bug Components: resourcemanager Affects Versions: 2.4.1 Reporter: J.Andreina Assignee: Hong Zhiguo Attachments: Capture.jpg ENV Details: = 3 queues : a(50%),b(25%),c(25%) --- All max utilization is set to 100 2 Node cluster with total memory as 16GB TestSteps: = Execute following 3 jobs with different memory configurations for Map , reducer and AM task ./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=a -Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=2048 -Dyarn.app.mapreduce.am.resource.mb=1024 -Dmapreduce.reduce.memory.mb=2048 /dir8 /preempt_85 (application_1405414066690_0023) ./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=b -Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=2048 -Dyarn.app.mapreduce.am.resource.mb=2048 -Dmapreduce.reduce.memory.mb=2048 /dir2 /preempt_86 (application_1405414066690_0025) ./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=c -Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=1024 -Dyarn.app.mapreduce.am.resource.mb=1024 -Dmapreduce.reduce.memory.mb=1024 /dir2 /preempt_62 Issue = when 2GB memory is in reserved state totoal memory is shown as 15GB and used as 15GB ( while total memory is 16GB) -- This message was sent by Atlassian JIRA (v6.2#6252)
[jira] [Commented] (YARN-2305) When a container is in reserved state then total cluster memory is displayed wrongly.
[ https://issues.apache.org/jira/browse/YARN-2305?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14064738#comment-14064738 ] Hong Zhiguo commented on YARN-2305: --- OK When a container is in reserved state then total cluster memory is displayed wrongly. - Key: YARN-2305 URL: https://issues.apache.org/jira/browse/YARN-2305 Project: Hadoop YARN Issue Type: Bug Components: resourcemanager Affects Versions: 2.4.1 Reporter: J.Andreina Assignee: Hong Zhiguo Attachments: Capture.jpg ENV Details: = 3 queues : a(50%),b(25%),c(25%) --- All max utilization is set to 100 2 Node cluster with total memory as 16GB TestSteps: = Execute following 3 jobs with different memory configurations for Map , reducer and AM task ./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=a -Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=2048 -Dyarn.app.mapreduce.am.resource.mb=1024 -Dmapreduce.reduce.memory.mb=2048 /dir8 /preempt_85 (application_1405414066690_0023) ./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=b -Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=2048 -Dyarn.app.mapreduce.am.resource.mb=2048 -Dmapreduce.reduce.memory.mb=2048 /dir2 /preempt_86 (application_1405414066690_0025) ./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=c -Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=1024 -Dyarn.app.mapreduce.am.resource.mb=1024 -Dmapreduce.reduce.memory.mb=1024 /dir2 /preempt_62 Issue = when 2GB memory is in reserved state totoal memory is shown as 15GB and used as 15GB ( while total memory is 16GB) -- This message was sent by Atlassian JIRA (v6.2#6252)
[jira] [Commented] (YARN-2305) When a container is in reserved state then total cluster memory is displayed wrongly.
[ https://issues.apache.org/jira/browse/YARN-2305?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14064749#comment-14064749 ] Wangda Tan commented on YARN-2305: -- Hi [~sunilg], Thanks for taking this issue, I think there're two issues in your screenshot, 1) Root queue usage above 100% It is possible that queue used resource is larger than its guaranteed resource because of container reservation. We may need show reserved resource and used resource separately in our web UI. I encountered a similar problem in YARN-2285 too. 2) Total cluster memory showing on web UI is different from CapacityScheduler.clusterResource This seems a new issue to me, memory showing on web UI is usedMemory+availableMemory of root queue. I feel like CSQueueUtils.updateQueueStatistics has some issues when we reserve container in LeafQueue. Hope to get more thoughts in your side. Thanks, Wangda When a container is in reserved state then total cluster memory is displayed wrongly. - Key: YARN-2305 URL: https://issues.apache.org/jira/browse/YARN-2305 Project: Hadoop YARN Issue Type: Bug Components: resourcemanager Affects Versions: 2.4.1 Reporter: J.Andreina Assignee: Sunil G Attachments: Capture.jpg ENV Details: = 3 queues : a(50%),b(25%),c(25%) --- All max utilization is set to 100 2 Node cluster with total memory as 16GB TestSteps: = Execute following 3 jobs with different memory configurations for Map , reducer and AM task ./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=a -Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=2048 -Dyarn.app.mapreduce.am.resource.mb=1024 -Dmapreduce.reduce.memory.mb=2048 /dir8 /preempt_85 (application_1405414066690_0023) ./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=b -Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=2048 -Dyarn.app.mapreduce.am.resource.mb=2048 -Dmapreduce.reduce.memory.mb=2048 /dir2 /preempt_86 (application_1405414066690_0025) ./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=c -Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=1024 -Dyarn.app.mapreduce.am.resource.mb=1024 -Dmapreduce.reduce.memory.mb=1024 /dir2 /preempt_62 Issue = when 2GB memory is in reserved state totoal memory is shown as 15GB and used as 15GB ( while total memory is 16GB) -- This message was sent by Atlassian JIRA (v6.2#6252)
[jira] [Commented] (YARN-2305) When a container is in reserved state then total cluster memory is displayed wrongly.
[
https://issues.apache.org/jira/browse/YARN-2305?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14065238#comment-14065238
]
Sunil G commented on YARN-2305:
---
1. Yes [~leftnoteasy], GUI display of 106% is similar to YARN-2285. It can be
tackled there.
2.
As mentioned in earlier comment, Total MB in GUI is internally sum of
availableMB+allottedMB.
a. *LeafQueue#usedResources* is sum of used and reserved memory.
But *CSQueueUtils#updateQueueStatistics()* code may give a -ve value in case of
reservation which sets availableMB in QueueMetrics.
{code}
Resource available = Resources.subtract(queueLimit, usedResources);
{code}
If this comes as -ve, then *availableMB* is set as 0.
b. *allocatedMB*: This is set when a container is really allocated. This is the
real queue usage.
In above scenario, it should have come as
{noformat}15(availableMb)+1(allocatedMB)=16{noformat}
But due to reservation, allocatedMB became 0. Hence total shown as 15.
I feel instead of showing Total as *allocated+available*, we can show
*clusterResource* here. Any particular reason why we need like
allocated+available, thoughts?
When a container is in reserved state then total cluster memory is displayed
wrongly.
-
Key: YARN-2305
URL: https://issues.apache.org/jira/browse/YARN-2305
Project: Hadoop YARN
Issue Type: Bug
Components: resourcemanager
Affects Versions: 2.4.1
Reporter: J.Andreina
Assignee: Sunil G
Attachments: Capture.jpg
ENV Details:
=
3 queues : a(50%),b(25%),c(25%) --- All max utilization is set to
100
2 Node cluster with total memory as 16GB
TestSteps:
=
Execute following 3 jobs with different memory configurations for
Map , reducer and AM task
./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=a
-Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=2048
-Dyarn.app.mapreduce.am.resource.mb=1024 -Dmapreduce.reduce.memory.mb=2048
/dir8 /preempt_85 (application_1405414066690_0023)
./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=b
-Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=2048
-Dyarn.app.mapreduce.am.resource.mb=2048 -Dmapreduce.reduce.memory.mb=2048
/dir2 /preempt_86 (application_1405414066690_0025)
./yarn jar wordcount-sleep.jar -Dmapreduce.job.queuename=c
-Dwordcount.map.sleep.time=2000 -Dmapreduce.map.memory.mb=1024
-Dyarn.app.mapreduce.am.resource.mb=1024 -Dmapreduce.reduce.memory.mb=1024
/dir2 /preempt_62
Issue
=
when 2GB memory is in reserved state totoal memory is shown as
15GB and used as 15GB ( while total memory is 16GB)
--
This message was sent by Atlassian JIRA
(v6.2#6252)
