and i did some test,the following is result, i also notice that the user
only use 11G memory,due to the resource-calculator is based on memory ,i
guess if i let allocate more
memory ,it can allow more job run parallel, the Total memory list in my
is 24G ,i wander why the user can not take all 24G memory for running it's
jobs? any options limit?
2 job running (small memory)
1 job running(small memory)
3 job running (small memory require job)
1 job running (large memory require job),3 job blocked
2 job runnning
On Tue, Nov 26, 2013 at 6:58 PM, Olivier Renault
> At the queue level, you've define a certain amount of ressources. For
> argument sake, let's say that your queue is allowed to consume 50% of your
> cluster and max 100%. As a single user, you won't be able to consume more
> than 50%. If you've got two different user within the queue, they would be
> able to use 100% of teh overall cluster. You can define how much a user is
> entitle to take of the overall Q by playing with yarn.scheduler.
> If with job1 userA has reached the max he is entitled, he will need to
> wait for some slots to become free before job2 start.
> On 26 November 2013 10:46, ch huang <[EMAIL PROTECTED]> wrote:
>> so ,by default ,user A submitted 5 jobs ,only 1 job is running ,if i
>> modified the option value to 5,all job will be running parallel,right?
>> On Tue, Nov 26, 2013 at 6:29 PM, Olivier Renault <
>> [EMAIL PROTECTED]> wrote:
>>> If you're running all the job from the same user, by default, you
>>> can't take more than the value of the queue. It can be modified by setting
>>> the following in capacity-scheduler.xml
>>> On 26 November 2013 09:20, ch huang <[EMAIL PROTECTED]> wrote:
>>>> i set the following option in yarn-site.xml ,let yarn
>>>> framework to use capacity scheduler,but i submit three job,only one job in
>>>> running status,other two stay in accepted status,why ,the default queue
>>>> only 50% capacity used,i do not know why?
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