How is the pre-emption configured ?
On 21/4/20 1:41 am, Ilya Karpov wrote:
Hi, all,
recently I’ve noticed strange behaviour of YARN Fair Scheduler: 2 jobs
(i.e. two simultaneously started oozie launchers) started in a queue
with a small weight, and was not able to launch spark jobs while
Hi, all,
recently I’ve noticed strange behaviour of YARN Fair Scheduler: 2 jobs (i.e.
two simultaneously started oozie launchers) started in a queue with a small
weight, and was not able to launch spark jobs while there were plenty resources
in other queues.
In details:
- hadoop(2.6, cdh 5.12
allocation and Fair Scheduler:
1) How do I change ApplicationMaster max memory to 512m ?
2) How do I get more than one container running per application ? (using
dynamic allocation I cannot set the spark.executor.instances)
3) I noticed that YARN ignores yarn.app.mapreduce.am.resource.mb
Thank you very much for the guide, Marcin!
BTW,did you have such article on Fair Scheduler？
在 2016-04-15 18:42:31，"Marcin Tustin" <mtus...@handybook.com> 写道：
This is what the capacity scheduler is for.
See my article on working around a particular bug in the
ip users don't have to wait
> normal users to release their resources
>
> Do Capacity Scheduler and Fair Scheduler support this scenario?
> Thanks in advance!
>
--
Want to work at Handy? Check out our culture deck and open roles
<http://www.handy.com/careers>
Latest news
Hi,
I am kind of new to Yarn scheduler , I have a requirement that, we have vip
users and normal users, we want vip users to have available resources whenever
they submit applications so that vip users don't have to wait normal users to
release their resources
Do Capacity Scheduler and Fair
Hi David,
Labels are not yet supported in Fair Scheduler.
Regards,
+ Naga
From: David Fox [dafox...@gmail.com]
Sent: Tuesday, March 08, 2016 20:08
To: user@hadoop.apache.org
Subject: YARN Fair Scheduler - Queue Label Policies
Hello,
We have heteregenous
Hello,
We have heteregenous hadoop cluster and need to run some mapreduce jobs on
specific nodes (with appropriate HW). We are using currently YARN with Fair
Scheduler to provide each user with fair share of resources. Same way there
should be one queue for run jobs on dedicated/labeled nodes
Hi Karthik,
Yes all the queues are always active (atleast one job is running at a
time) and thus the fair share of all queue is very less. How to design the
fair scheduler for this kind of case. Do you have some Best Practices to
design the fair-scheduler.xml.
Weights - is the correct way
ow how it works with Fair Scheduler in YARN-hadoop. I'm
> trying to configure parent queue with MaxResorces in allocations file, e.i.
> fair-scheduler.xml. Then I want to create child queues. As documentation
> about fair scheduler says "Queues can be arranged in a hierarchy to divi
Hello,
I would like to know how it works with Fair Scheduler in YARN-hadoop. I'm
trying to configure parent queue with MaxResorces in allocations file, e.i.
fair-scheduler.xml. Then I want to create child queues. As documentation
about fair scheduler says "Queues can be arranged in a hier
Hi,
I'm using the fair scheduler for Yarn. I have not specified any pools, so the
fair-scheduler.xml is basically empty.
However, only one third of the cluster is utilized.
On the scheduler page I see a single Queue which is root and it is specified
that 33.3% used
This 33.3% is independent
Hi Guys,
I like know any command line option's for changing job's pool change.
I can do via UI scheduler page. http://x.x.x.x:50030/scheduler?advanced
I am using :: hadoop-2.0.0-mr1-cdh4.4.0
-Dhanasekaran.
Did I learn something today? If not, I wasted it.
Hi Guys,
Currently I am using Fair Scheduler in my cluster. By default it's limiting
the number of concurrent running jobs per user and per pool = 30.
It's allowing 30 concurrent jobs by default.
I know is the unique feature of FairScheduler, For I my case I need to
increase. Please guide me
. Or in
other words, that the scheduling policy for allocating new/empty containers
is different from the scheduling policy for preempting already-running ones.
I do understand that this is how the fair scheduler works. I was wondering
if I'm missing something, or whether some other setup could provide
short jobs that only need couple of minutes
to complete.
Hence why I use fair scheduler to split resources into 2 groups, one default
and other one longrun.
I want to make sure there always an available resources ready to be used by
short jobs.
If your explanation is true, then current fair
maps, and each map will process
data for almost 2 hours.
In the meantime there will be some short jobs that only need couple of
minutes to complete.
Hence why I use fair scheduler to split resources into 2 groups, one
default and other one longrun.
I want to make sure there always an available
Hi Everyone,
I'm using Hadoop-2.2.0 with fair scheduler in my YARN cluster, but something is
wrong with the fair scheduler.
Here is my fair-scheduler.xml looks like:
allocations
queue name=longrun
maxResources15360 mb, 5 vcores/maxResources
weight0.5/weight
minMaps2/minMaps
:30, Henry Hung ythu...@winbond.com wrote:
Hi Everyone,
I’m using Hadoop-2.2.0 with fair scheduler in my YARN cluster, but
something is wrong with the fair scheduler.
Here is my fair-scheduler.xml looks like:
allocations
queue name=longrun
maxResources15360 mb, 5 vcores
We are at 11GB for yarn nodemanager.resource.memory-mb
It seems that the problem is due to the number of CPUs.
Each Spark executor needed too many CPUs in comparaison to available CPUs.
In consequence the Fair Scheduler didn't allow all the available memory
because all CPUs where all-ready used
configuration like
yarn.scheduler.fair.user-as-default-queue=false
or play with the minimum ressources allocated minResources in
fair-scheduler.xml but it doesn't seems to resolve the issue.
Any advices or good practices to held a good Fair Scheduler?
Regards,
Julien
when using some spark shell that used some resources
for a long time.
So we decide to try Fair Scheduler which seems to be a good solution.
The problem is that FairScheduler doesn't allow all available resources.
It's capped at 73% of the available memory for one jobs 63% for 2 jobs and
45% for 3
All,
I recently upgraded to Hadoop 2.4 and I am seeing a problem with the
Resource Manager's fair scheduler. After a couple days of full time
operation where several MR jobs are submitted per minute, the fair
scheduler will suddenly stop scheduling jobs. The only way I have found to
remedy
of
fair-scheduler. From while directory do i need to create .jar file. How to
call ant command?? I am using ant 1.7 version.
. The path to
hadoop is /usr/local/hadoop. Now how to create a .jar file of
fair-scheduler. From while directory do i need to create .jar file. How to
call ant command?? I am using ant 1.7 version.
up vote0down
votefavoritehttp://stackoverflow.com/questions/23439931/how-to-create-a-jar-file-for-fairscheduler-in-hadoop-1-2-1#
I have Hadoop 1.2.1 installed on my single node system. The path to hadoop
is /usr/local/hadoop. Now how to create a .jar file of fair-scheduler. From
while directory
/how-to-create-a-jar-file-for-fairscheduler-in-hadoop-1-2-1#
I have Hadoop 1.2.1 installed on my single node system. The path to hadoop
is /usr/local/hadoop. Now how to create a .jar file of fair-scheduler. From
while directory do i need to create .jar file. How to call ant command?? I
am using
Hi,
I see these two knobs in Fair scheduler - 'assignMultiple'
and 'continuos scheduling'.
1. Are there performance benefits using them ? What are the cons ?
2. Also is there any problem with 'continuous scheduling',I'm asking
because this is not mentioned in the FS doc ?
--
Thanks,
Ashwin
Hi,
I encounter a problem with Yarn's fair scheduler. The thing is that, I
first set a queue by configuring fair-scheduler.xml below. Next I try to submit
a job to that queue by designating queue name via mapreduce.job.queuename=
amelie.
fair-scheduler.xml:
allocations
queue name=amelie
Hi,
I'm running hadoop with 1.2.1, all my jobs are running in single queue
(Queue 1) only all the time. But I have configured default, queue 12.
Why jobs are not scheduled to all the queues.
Please help. Running like this will be any issue?
Thanks,
Hi Viswanathan,
What steps have you followed to set fair scheduler ?
Thanks,
Anurag Tangri
Never wear your best trousers when you go out to fight for freedom and
truth.- Henrik Ibsen
On Thursday, November 21, 2013 10:25 AM, Viswanathan J
jayamviswanat...@gmail.com wrote:
Hi,
I'm
in the MR1 fair scheduler without
setting the jobs for individual pools. In MR2, fair scheduler hierarchical
queues will allow setting maxRunningApps at the top of the hierarchy, which
would have the effect you're looking for.
-Sandy
On Tue, Nov 19, 2013 at 2:01 PM, Omkar Joshi ojo
?
Sandy,
thanks, I got it. But unfortunately we are using MR1 for now.
On Wed, Nov 20, 2013 at 2:12 AM, Sandy Ryza sandy.r...@cloudera.com wrote:
Unfortunately, this is not possible in the MR1 fair scheduler without
setting the jobs for individual pools. In MR2, fair scheduler hierarchical
queues
fair scheduler allocations file (location specified in
maped-site.xml) to use the queues defined and assign resources to them:
?xml version=1.0?
allocations
defaultMinSharePreemptionTimeout300/defaultMinSharePreemptionTimeout
pool name=sqoop
minMaps700/minMaps
minReduces175/minReduces
...@cloudera.comwrote:
Unfortunately, this is not possible in the MR1 fair scheduler without
setting the jobs for individual pools. In MR2, fair scheduler hierarchical
queues will allow setting maxRunningApps at the top of the hierarchy, which
would have the effect you're looking for.
-Sandy
namemapred.queue.sqoop.acl-administer-jobs/name
valueusera, userc/value
/property
! above two properties for every queue defined in mapred-site.xml --
/configuration
3. Define fair scheduler allocations file (location specified in
maped-site.xml) to use the queues defined
Hello!
We are using CDH 4.1.1 (Version: 2.0.0-mr1-cdh4.1.1) and fair-scheduler.
We need to limit total number of jobs which can run at the same time on
cluster.
I can see maxRunningJobs options but it sets limit for pool or user.
We wouldn't like to limit each pool or user we just need to set
Not sure about the fair scheduler but in capacity scheduler you can achieve
this by controlling number of jobs/applications per queue.
Thanks,
Omkar Joshi
*Hortonworks Inc.* http://www.hortonworks.com
On Tue, Nov 19, 2013 at 3:26 AM, Ivan Tretyakov itretya...@griddynamics.com
wrote:
Hello
Unfortunately, this is not possible in the MR1 fair scheduler without
setting the jobs for individual pools. In MR2, fair scheduler hierarchical
queues will allow setting maxRunningApps at the top of the hierarchy, which
would have the effect you're looking for.
-Sandy
On Tue, Nov 19, 2013
Hi,
We are trying to implement queues in fair scheduler using mapred acls.
If I setup queues and try to use them in fair scheduler, then if I don't
add following two properties to the job, the job fails:
-Dmapred.job.queue.name=queue name
-D mapreduce.job.acl-view-job=*
Is that correct
Please don't cross-post.
On Sep 22, 2013, at 11:19 PM, Anurag Tangri tangri.anu...@gmail.com wrote:
Hi,
We are trying to implement queues in fair scheduler using mapred acls.
If I setup queues and try to use them in fair scheduler, then if I don't add
following two properties to the job
app either grew to more resources than it, or no other app needed
them.
Does that make sense?
-Sandy
On Thu, Aug 22, 2013 at 6:36 PM, ch huang justlo...@gmail.com wrote:
hi,i have a question about fair scheduler
doc says When there is a single app running, that app uses the entire
cluster
hi,all:
i use cdh4.3 yarn , it's default scheduler is capacity scheduler
,i want to switch to fair scheduler,but i see doc says *NOTE:* The Fair
Scheduler implementation is currently under development and should be
considered experimental.,i do not know if it's the time to use
hi,i have a question about fair scheduler
doc says When there is a single app running, that app uses the entire
cluster. When other apps are submitted, resources that free up are assigned
to the new apps, so that each app gets roughly the same amount of
resources,
suppose i have only a big app
here is link to the doc
http://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn-site/FairScheduler.html
- yarn.scheduler.fair.minimum-allocation-mb
- The smallest container size the scheduler can allocate, in MB of
memory.
- yarn.scheduler.fair.minimum-allocation-mb
Moving to cdh-user,
Hi,
The Fair Scheduler in 4.3 is stable and is recommended by Cloudera.
-Sandy
On Aug 22, 2013, at 6:20 PM, ch huang justlo...@gmail.com wrote:
hi,all:
i use cdh4.3 yarn , it's default scheduler is capacity scheduler ,i
want to switch to fair scheduler,but i
in description of fair-scheduler in yarn
here is link to the doc
http://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn-site/FairScheduler.html
* yarn.scheduler.fair.minimum-allocation-mb
* The smallest container size the scheduler can allocate, in MB of
memory
Hi folks
I have a hadoop cluster running Fairscheduler (
hadoop.apache.org/docs/stable/fair_scheduler.html) with preemption set to
true.
The scheduler preemption policy work well for mappers but the reducers are
not getting preempted.
Any thoughts on this?
1) is reducer preemption not supposed to
Hi all,
I was wondering if there is a way to let fair scheduler ignore the user and
submit a job to a specific pool.
I would like to have 3/4 pools:
1. Very short (~1 min) routine jobs.
2. Normal processing time (1 hr) routine jobs.
3. Long (days) experimental jobs.
4. ? ad hoc immediate jobs
Hi all,
Fair Scheduler link is not added in the document index page for hadoop 2.x, as
Capacity Scheduler does, like
http://hadoop.apache.org/docs/r2.0.3-alpha/hadoop-yarn/hadoop-yarn-site/CapacityScheduler.html
Should we add it if it can be experimentally used?
Regards,
Kai
pool will wait before
preempting other jobs’ tasks to reach its guaranteed capacity., what
means reach its guaranteed capacity? I think when using fair
scheduler, each pool has predefined resources allocation settings (and the
settings guarantees each pool has resources as configured
21, 2013 at 8:24 AM, Joep Rottinghuis jrottingh...@gmail.comwrote:
Lin,
The article you are reading us old.
Fair scheduler does have preemption.
Tasks get killed and rerun later, potentially on a different node.
You can set a minimum / guaranteed capacity. The sum of those across pools
would
, Jan 21, 2013 at 8:24 AM, Joep Rottinghuis jrottingh...@gmail.com
wrote:
Lin,
The article you are reading us old.
Fair scheduler does have preemption.
Tasks get killed and rerun later, potentially on a different node.
You can set a minimum / guaranteed capacity. The sum of those across pools
tasks to give resources to other tasks, or it means something
else?
2. I am also confused about set how long each pool will wait before
preempting other jobs’ tasks to reach its guaranteed capacity., what means
reach its guaranteed capacity? I think when using fair scheduler, each
pool has predefined
Lin,
The article you are reading us old.
Fair scheduler does have preemption.
Tasks get killed and rerun later, potentially on a different node.
You can set a minimum / guaranteed capacity. The sum of those across pools
would typically equal the total capacity of your cluster or less.
Then you
sleep job working pretty good. But
we have tested with Hadoop streaming job not proper with fair
scheduling Algorithm why?. Any other way test Hadoop streaming job, with
fair scheduler
Note:
Tested with RHadoop with rmr.
-Dhanasekaran.
Did I learn something today? If not, I wasted
Anbalagan bugcy...@gmail.com
wrote:
HI Guys
We configured fair scheduler with cdh4, Fair scheduler not work properly.
Map Task Capacity = 1380
Reduce Task Capacity = 720
We create two users tech and research, we configured equal weight 1 But, I
stared job in research user mapper
for the next slots. Try setting
research weight to 2. This should allow research to take slots as tech
released them.
Sent from my iPhone
On Jan 16, 2013, at 8:26 AM, Dhanasekaran Anbalagan bugcy...@gmail.com
(mailto:bugcy...@gmail.com) wrote:
HI Guys
We configured fair scheduler
HI Nan,
We have not enabled Fair Scheduler Preemption.
-Dhanasekaran.
Did I learn something today? If not, I wasted it.
On Wed, Jan 16, 2013 at 11:21 AM, Nan Zhu zhunans...@gmail.com wrote:
have you enabled task preemption?
Best,
--
Nan Zhu
School of Computer Science,
McGill
School of Computer Science,
McGill University
On Wednesday, 16 January, 2013 at 11:32 AM, Dhanasekaran Anbalagan wrote:
HI Nan,
We have not enabled Fair Scheduler Preemption.
-Dhanasekaran.
Did I learn something today? If not, I wasted it.
On Wed, Jan 16, 2013 at 11:21 AM, Nan Zhu
Fair Scheduler Preemption.
-Dhanasekaran.
Did I learn something today? If not, I wasted it.
On Wed, Jan 16, 2013 at 11:21 AM, Nan Zhu zhunans...@gmail.com
(mailto:zhunans...@gmail.com) wrote:
have you enabled task preemption?
Best,
--
Nan Zhu
School
, Dhanasekaran Anbalagan wrote:
HI Nan,
We have not enabled Fair Scheduler Preemption.
-Dhanasekaran.
Did I learn something today? If not, I wasted it.
On Wed, Jan 16, 2013 at 11:21 AM, Nan Zhu zhunans...@gmail.com wrote:
have you enabled task preemption?
Best,
--
Nan Zhu
School
HI Jeff,
thanks for kindly mail, I have tested sleep job working pretty good. But we
have tested with Hadoop streaming job not proper with fair
scheduling Algorithm why?. Any other way test Hadoop streaming job, with
fair scheduler
Note:
Tested with RHadoop with rmr.
-Dhanasekaran.
Did I
Hi,
I have enabled the fair scheduler and everything is set to default with
only few configuration changes. It is working fine and multiple users can
run queries simultaneously.
But I am not able to change the priority from *http://JobTracker
URL/scheduler* .
Priority column is coming
You set maxMaps to 200,
so the maximum running mappers should be no more than 200
Best,
--
Nan Zhu
School of Computer Science,
McGill University
On Thursday, 8 November, 2012 at 6:12 PM, Matt Goeke wrote:
Pretty straight forward question but can the fair share factor actually
impact
:51 PM, Goldstone, Robin J. goldsto...@llnl.gov
wrote:
This is similar to issues I ran into with permissions/ownership of
mapred.system.dir when using the fair scheduler. We are instructed to set
the ownership of mapred.system.dir to mapred:hadoop and then when the job
tracker starts up
to issues I ran into with permissions/ownership of
mapred.system.dir when using the fair scheduler. We are instructed to
set
the ownership of mapred.system.dir to mapred:hadoop and then when the
job
tracker starts up (running as user mapred) it explicitly sets the
permissions on this directory
...@llnl.gov
wrote:
This is similar to issues I ran into with permissions/ownership of
mapred.system.dir when using the fair scheduler. We are instructed to
set
the ownership of mapred.system.dir to mapred:hadoop and then when the
job
tracker starts up (running as user mapred) it explicitly sets
into with permissions/ownership of
mapred.system.dir when using the fair scheduler. We are instructed to
set
the ownership of mapred.system.dir to mapred:hadoop and then when the
job
tracker starts up (running as user mapred) it explicitly sets the
permissions on this directory to 700. Meanwhile when I go
This is similar to issues I ran into with permissions/ownership of
mapred.system.dir when using the fair scheduler. We are instructed to set
the ownership of mapred.system.dir to mapred:hadoop and then when the job
tracker starts up (running as user mapred) it explicitly sets the
permissions
into mapred.system.dir but it
can't due to the ownership/permissions that have been established.
Per discussion with Arpit Gupta, this is a bug with the fair scheduler and
it appears from your experience that there are similar issues with
hadoop.tmp.dir. The whole idea of the fair scheduler
Thanks for input,
I am reading the document; i forget to mention that i am on cdh3u4.
If you point your poolname property to mapred.job.queue.name, then you
can leverage the Per-Queue ACLs
Is that mean if i plan to 3 pools of fair scheduler, i have to
configure 3 queues of capacity scheduler
to mapred.job.queue.name, then you
can leverage the Per-Queue ACLs
Is that mean if i plan to 3 pools of fair scheduler, i have to
configure 3 queues of capacity scheduler. in order to have each pool
can leverage Per-Queue ACL of each queue.?
Queues are not hard-tied into CapacityScheduler. You can
Is that anyway to control who can submit job to a pool.?
Eg. Pool1, can run jobs submitted from any users except userx.
Userx can submit jobs to poolx only. Can't submit to pool1.
Hope this make sense.
Patai
If you point your poolname property to mapred.job.queue.name, then you
can leverage the Per-Queue ACLs described at
http://hadoop.apache.org/docs/stable/mapred_tutorial.html#Job+Authorization
to do user/group based control.
In addition, depending on the version/distribution of Apache Hadoop in
Hello.
I'm using hadoop 0.20.203.0 and fair scheduler. And I have some difficulties
concerning the lack of multiple tasks per heartbeat in fair scheduler in
version 0.20.203.0.
I've found fixed feature about it -
https://issues.apache.org/jira/browse/MAPREDUCE-548. Fix version is
https
Hi ,All,
I encountered a problem in using Cloudera Hadoop 0.20.2-cdh3u1. When I use
the fair Scheduler I find the scheduler seems not support preemption.
Can anybody tell me whether preemption is supported in this version?
This is my configration:
mapred-site.xml
property
, 2012 at 8:35 AM, hao.wang hao.w...@ipinyou.com wrote:
Hi ,All,
I encountered a problem in using Cloudera Hadoop 0.20.2-cdh3u1. When I use
the fair Scheduler I find the scheduler seems not support preemption.
Can anybody tell me whether preemption is supported in this version
： 2012-03-07 14:14:05
收件人： common-user
抄送：
主题： Re: Fair Scheduler Problem
Hello Hao,
Its best to submit CDH user queries to
https://groups.google.com/a/cloudera.org/group/cdh-user/topics
(cdh-u...@cloudera.org) where the majority of CDH users community
resides.
How do you determine
14:14:05
收件人： common-user
抄送：
主题： Re: Fair Scheduler Problem
Hello Hao,
Its best to submit CDH user queries to
https://groups.google.com/a/cloudera.org/group/cdh-user/topics
(cdh-u...@cloudera.org) where the majority of CDH users community
resides.
How do you determine that preemption did
)
Let me know if it works..
On 29 February 2012 14:18, Austin Chungath austi...@gmail.com wrote:
How can I set the fair scheduler such that all jobs submitted from a
particular user group go to a pool with the group name?
I have setup fair scheduler and I have two users: A and B (belonging
I've just started playing with the Fair Scheduler. To specify the pool at job
submission time you set the mapred.fairscheduler.pool property on the Job
Conf to the name of the pool you want the job to use.
Dave
-Original Message-
From: Merto Mertek [mailto:masmer...@gmail.com]
Sent
Thanks,
I will be trying the suggestions and will get back to you soon.
On Thu, Mar 1, 2012 at 8:09 PM, Dave Shine
dave.sh...@channelintelligence.com wrote:
I've just started playing with the Fair Scheduler. To specify the pool at
job submission time you set the mapred.fairscheduler.pool
..
On 29 February 2012 14:18, Austin Chungath austi...@gmail.com wrote:
How can I set the fair scheduler such that all jobs submitted from a
particular user group go to a pool with the group name?
I have setup fair scheduler and I have two users: A and B (belonging to
the
user group hadoop
How can I set the fair scheduler such that all jobs submitted from a
particular user group go to a pool with the group name?
I have setup fair scheduler and I have two users: A and B (belonging to the
user group hadoop)
When these users submit hadoop jobs, the jobs from A got to a pool named
Any updates!!
-- Forwarded message --
From: kartheek muthyala kartheek0...@gmail.com
Date: Fri, Sep 16, 2011 at 8:38 PM
Subject: Job Scheduler, Task Scheduler and Fair Scheduler
To: common-user@hadoop.apache.org
Hi all,
Can any one explain me the responsibilities of each
scheduler)
Capacity Scheduler (CS)
Fair Scheduler (FS).
TaskScheduler is just an interface for all schedulers (default, CS, FS).
Then there is JobInProgress which handles scheduling for map tasks of an
individual job based on data locality (JobInProgress.obtainNew*MapTask).
Other than that each
, but there are 3
schedulers:
JobQueueTaskScheduler (aka default scheduler or fifo scheduler)
Capacity Scheduler (CS)
Fair Scheduler (FS).
TaskScheduler is just an interface for all schedulers (default, CS, FS).
Then there is JobInProgress which handles scheduling for map tasks of an
individual job
Hi all,
Can any one explain me the responsibilities of each scheduler?. I am
interested in the flow of commands that goes between these scheduler. And if
any one have any info regarding how the job scheduler schedules a job based
on the data locality?. As of I know, there is some heartbeat
hi,
I have 8 machines for the hadoop cluster, 1 namenode and 7 data node.
I want the production jobs to have more priority than the user-defined jobs,
so I use the Fair scheduler.
Why sometimes my job scheduled by user: hadoop just start 7 map tasks, while
in the cluster there's no other job
Regards,
Saurabh Bhutyani
Call : 9820083104
Gtalk: s4saur...@gmail.com
On Tue, Apr 26, 2011 at 5:59 AM, hadoopman hadoop...@gmail.com wrote:
Has anyone had problems with the latest version of hadoop and the fair
scheduler not placing jobs into pools correctly? We're digging
Regards,
Saurabh Bhutyani
Call : 9820083104
Gtalk: s4saur...@gmail.com
On Tue, Apr 26, 2011 at 5:59 AM, hadoopmanhadoop...@gmail.com wrote:
Has anyone had problems with the latest version of hadoop and the fair
scheduler not placing jobs into pools correctly? We're digging
: s4saur...@gmail.com
On Tue, Apr 26, 2011 at 5:59 AM, hadoopmanhadoop...@gmail.com wrote:
Has anyone had problems with the latest version of hadoop and the fair
scheduler not placing jobs into pools correctly? We're digging into it
currently. An older version of hadoop (using our config
Has anyone had problems with the latest version of hadoop and the fair
scheduler not placing jobs into pools correctly? We're digging into it
currently. An older version of hadoop (using our config file) is
working fine however the latest version seems to be putting everything
Can fair scheduler set an upper limit on a job's memory consumption? How do I
use fair/capacity scheduler to make sure a long running (memory drain) job
won't
impact the service level of other higher priority jobs?
--
View this message in context:
http://old.nabble.com/fair-scheduler
Hi all,
1. How can I assing a job to a specific pool from command line?
I succeeded it from MR programming by including configuration code below
conf.set(mapred.queue.name, testpool)
I've tried
% hadoop jar -D mapred.queue.name=testpool my.jar myclass input output
from command line, which is
Hadoop Version: 0.20.2
Scheduler: Fair scheduler
Now I use fair scheduler to arrange job, but I found the scheduler didn't
support preemption?
Does 0.20.2 support preemption?
I know 0.21.0 will support,
https://issues.apache.org/jira/browse/MAPREDUCE-551
Thank you in advance.
Best
The one in 0.20.2 doesn't support it. However, the Cloudera
Distribution of Hadoop has backported preemption (and the other fair
scheduler features in 0.21), so you could try that if you want
preemption on a 0.20 cluster.
Matei
On 8/29/2010 10:37 PM, xiujin yang wrote:
Hadoop Version: 0.20.2
are not going to be very
efficient - even with fast assignment there is some constant overhead per
task.
Thanks
-Todd
On Sun, Apr 11, 2010 at 11:42 AM, abhishek sharma absha...@usc.edu wrote:
Hi all,
I have been using the Hadoop Fair Scheduler for some experiments on a
100 node cluster with 2 map slots
.
Thanks
-Todd
On Sun, Apr 11, 2010 at 11:42 AM, abhishek sharma absha...@usc.edu
wrote:
Hi all,
I have been using the Hadoop Fair Scheduler for some experiments on a
100 node cluster with 2 map slots per node (hence, a total of 200 map
slots).
In one of my experiments, all the map
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