[
https://issues.apache.org/jira/browse/YARN-2297?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14063229#comment-14063229
]
Sunil G commented on YARN-2297:
-------------------------------
Hi [~wangda]
Couple of points:
1.
{code}
if (toBePreempt > 0) and (container.resource < toBePreempt * 2):
{code}
Here you are trying identify a matching candidate container which is not more
than what you need to preempt. May be 1GB to be preempted, and you have a
container of 3GB. So 3Gb container should not be preempted if its only
remaining container.
But assume a scenario where in you need 3GB to be preempted. And candidate
queue has 2 apps with below distribution.
*app1*: 1 * 2GB , 1 * 3GB containers
*app2*: 1 * 3GB container.
Here, 2GB container will preempted and your preemption demand will become 1GB.
And with above check, you will not preempt any more container.
Actually a better suitable container was available later which satisfies the
demand. I feel we can try tackle these corner cases also.
2.
bq.We can change it to allocate container in queue from most lacking resource
if there're multiple queus under a parent queue.
+1 for this idea.
*getUsedCapacity()* alone is used now for *queueComparator*. I feel now we will
take a percentage here to find which queue is under utilized more based on its
*used* vs *guaranteed_capacity* ?
> Preemption can hang in corner case by not allowing any task container to
> proceed.
> ---------------------------------------------------------------------------------
>
> Key: YARN-2297
> URL: https://issues.apache.org/jira/browse/YARN-2297
> Project: Hadoop YARN
> Issue Type: Sub-task
> Components: capacityscheduler
> Affects Versions: 2.5.0
> Reporter: Tassapol Athiapinya
> Assignee: Wangda Tan
> Priority: Critical
>
> Preemption can cause hang issue in single-node cluster. Only AMs run. No task
> container can run.
> h3. queue configuration
> Queue A/B has 1% and 99% respectively.
> No max capacity.
> h3. scenario
> Turn on preemption. Configure 1 NM with 4 GB of memory. Use only 2 apps. Use
> 1 user.
> Submit app 1 to queue A. AM needs 2 GB. There is 1 task that needs 2 GB.
> Occupy entire cluster.
> Submit app 2 to queue B. AM needs 2 GB. There are 3 tasks that need 2 GB each.
> Instead of entire app 1 preempted, app 1 AM will stay. App 2 AM will launch.
> No task of either app can proceed.
> h3. commands
> /usr/lib/hadoop/bin/hadoop jar
> /usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar randomtextwriter
> "-Dmapreduce.map.memory.mb=2000"
> "-Dyarn.app.mapreduce.am.command-opts=-Xmx1800M"
> "-Dmapreduce.randomtextwriter.bytespermap=2147483648"
> "-Dmapreduce.job.queuename=A" "-Dmapreduce.map.maxattempts=100"
> "-Dmapreduce.am.max-attempts=1" "-Dyarn.app.mapreduce.am.resource.mb=2000"
> "-Dmapreduce.map.java.opts=-Xmx1800M"
> "-Dmapreduce.randomtextwriter.mapsperhost=1"
> "-Dmapreduce.randomtextwriter.totalbytes=2147483648" dir1
> /usr/lib/hadoop/bin/hadoop jar
> /usr/lib/hadoop-mapreduce/hadoop-mapreduce-client-jobclient-tests.jar sleep
> "-Dmapreduce.map.memory.mb=2000"
> "-Dyarn.app.mapreduce.am.command-opts=-Xmx1800M"
> "-Dmapreduce.job.queuename=B" "-Dmapreduce.map.maxattempts=100"
> "-Dmapreduce.am.max-attempts=1" "-Dyarn.app.mapreduce.am.resource.mb=2000"
> "-Dmapreduce.map.java.opts=-Xmx1800M" -m 1 -r 0 -mt 4000 -rt 0
--
This message was sent by Atlassian JIRA
(v6.2#6252)
