hadoop-common-user mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From Michael Segel <michael_se...@hotmail.com>
Subject Re: freeze a mapreduce job
Date Fri, 11 May 2012 11:26:48 GMT
Just a quick note...

If your task is currently occupying a slot,  the only way to release the slot is to kill the
specific task.
If you are using FS, you can move the task to another queue and/or you can lower the job's
priority which will cause new tasks to spawn  slower than other jobs so you will eventually
free up the cluster. 

There isn't a way to 'freeze' or stop a job mid state. 

Is the issue that the job has a large number of slots, or is it an issue of the individual
tasks taking a  long time to complete? 

If its the latter, you will probably want to go to a capacity scheduler over the fair scheduler.



On May 11, 2012, at 6:08 AM, Harsh J wrote:

> I do not know about the per-host slot control (that is most likely not
> supported, or not yet anyway - and perhaps feels wrong to do), but the
> rest of the needs can be doable if you use schedulers and
> queues/pools.
> If you use FairScheduler (FS), ensure that this job always goes to a
> special pool and when you want to freeze the pool simply set the
> pool's maxMaps and maxReduces to 0. Likewise, control max simultaneous
> tasks as you wish, to constrict instead of freeze. When you make
> changes to the FairScheduler configs, you do not need to restart the
> JT, and you may simply wait a few seconds for FairScheduler to refresh
> its own configs.
> More on FS at http://hadoop.apache.org/common/docs/current/fair_scheduler.html
> If you use CapacityScheduler (CS), then I believe you can do this by
> again making sure the job goes to a specific queue, and when needed to
> freeze it, simply set the queue's maximum-capacity to 0 (percentage)
> or to constrict it, choose a lower, positive percentage value as you
> need. You can also refresh CS to pick up config changes by refreshing
> queues via mradmin.
> More on CS at http://hadoop.apache.org/common/docs/current/capacity_scheduler.html
> Either approach will not freeze/constrict the job immediately, but
> should certainly prevent it from progressing. Meaning, their existing
> running tasks during the time of changes made to scheduler config will
> continue to run till completion but further tasks scheduling from
> those jobs shall begin seeing effect of the changes made.
> P.s. A better solution would be to make your job not take as many
> days, somehow? :-)
> On Fri, May 11, 2012 at 4:13 PM, Rita <rmorgan466@gmail.com> wrote:
>> I have a rather large map reduce job which takes few days. I was wondering
>> if its possible for me to freeze the job or make the job less intensive. Is
>> it possible to reduce the number of slots per host and then I can increase
>> them overnight?
>> tia
>> --
>> --- Get your facts first, then you can distort them as you please.--
> -- 
> Harsh J

View raw message