I have two questions to ask:
I wrote a demo referring to the official
website(https://spark.apache.org/docs/latest/job-scheduling.html), but it
didn't meet my expectations. I don't know if there was a problem with my
writing.I hope that when I use the following fairscheduler.xml, pool1 always
I have two questions to ask:
I wrote a demo referring to the official
website(https://spark.apache.org/docs/latest/job-scheduling.html), but it
didn't meet my expectations. I don't know if there was a problem with my
writing.I hope that when I use the following fairscheduler.xml, pool1 alw
>
> grrr... s/your/you're/
>
> On Wed, Apr 5, 2017 at 12:54 PM, Mark Hamstra
> wrote:
>
> Your mixing up different levels of scheduling. Spark's fair scheduler
> pools are about scheduling Jobs, not Applications; whereas YARN queues with
> Spark are about scheduling
evant/useful in this context?
>
> On Wed, Apr 5, 2017 at 3:54 PM Mark Hamstra
> wrote:
>
>> grrr... s/your/you're/
>>
>> On Wed, Apr 5, 2017 at 12:54 PM, Mark Hamstra
>> wrote:
>>
>> Your mixing up different levels of scheduling. Spark's
rrr... s/your/you're/
>
> On Wed, Apr 5, 2017 at 12:54 PM, Mark Hamstra
> wrote:
>
> Your mixing up different levels of scheduling. Spark's fair scheduler
> pools are about scheduling Jobs, not Applications; whereas YARN queues with
> Spark are about scheduling Applic
grrr... s/your/you're/
On Wed, Apr 5, 2017 at 12:54 PM, Mark Hamstra
wrote:
> Your mixing up different levels of scheduling. Spark's fair scheduler
> pools are about scheduling Jobs, not Applications; whereas YARN queues with
> Spark are about scheduling Applications, not Jo
Your mixing up different levels of scheduling. Spark's fair scheduler pools
are about scheduling Jobs, not Applications; whereas YARN queues with Spark
are about scheduling Applications, not Jobs.
On Wed, Apr 5, 2017 at 12:27 PM, Nick Chammas
wrote:
> I'm having trouble unde
I'm having trouble understanding the difference between Spark fair
scheduler pools
<https://spark.apache.org/docs/latest/job-scheduling.html#fair-scheduler-pools>
and YARN queues
<https://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn-site/FairScheduler.html>.
Do they c
Yes it is related to concurrentJobs, so you need to increase that. Salt
that will mean that if you get overlapping batches then those will be
executed in parallel too
On Tue, 16 Feb 2016, 18:33 p pathiyil wrote:
> Hi,
>
> I am trying to use Fair Scheduler Pools with Kafka Stream
Hi,
I am trying to use Fair Scheduler Pools with Kafka Streaming. I am
assigning each Kafka partition to its own pool. The attempt is to give each
partition an equal share of compute time irrespective of the number of
messages in each time window for each partition.
However, I do not see fair
Hi,
I am trying to use the fair scheduler pools
(http://spark.apache.org/docs/latest/job-scheduling.html#fair-scheduler-pools)
to schedule two jobs at the same time.
In my simple example, I have configured spark in local mode with 2 cores
("local[2]"). I have also configured tw
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