Re: Please reply if you use Mesos fine grained mode

[Heller, Chris]

We’ve been making use of both. Fine-grain mode makes sense for more ad-hoc work 
loads, and coarse-grained for more job like loads on a common data set. My 
preference is the fine-grain mode in all cases, but the overhead associated 
with its startup and the possibility that an overloaded cluster would be 
starved for resources makes coarse grain mode a reality at the moment.

On Wednesday, 4 November 2015 5:24 AM, Reynold Xin 
> wrote:


If you are using Spark with Mesos fine grained mode, can you please respond to 
this email explaining why you use it over the coarse grained mode?

Thanks.

Please reply if you use Mesos fine grained mode

[Reynold Xin]

If you are using Spark with Mesos fine grained mode, can you please respond
to this email explaining why you use it over the coarse grained mode?

Thanks.

Re: Please reply if you use Mesos fine grained mode

[Jerry Lam]

We "used" Spark on Mesos to build interactive data analysis platform
because the interactive session could be long and might not use Spark for
the entire session. It is very wasteful of resources if we used the
coarse-grained mode because it keeps resource for the entire session.
Therefore, fine-grained mode was used.

Knowing that Spark now supports dynamic resource allocation with coarse
grained mode, we were thinking about using it. However, we decided to
switch to Yarn because in addition to dynamic allocation, it has better
supports on security.

On Tue, Nov 3, 2015 at 7:22 PM, Soren Macbeth  wrote:

> we use fine-grained mode. coarse-grained mode keeps JVMs around which
> often leads to OOMs, which in turn kill the entire executor, causing entire
> stages to be retried. In fine-grained mode, only the task fails and
> subsequently gets retried without taking out an entire stage or worse.
>
> On Tue, Nov 3, 2015 at 3:54 PM, Reynold Xin  wrote:
>
>> If you are using Spark with Mesos fine grained mode, can you please
>> respond to this email explaining why you use it over the coarse grained
>> mode?
>>
>> Thanks.
>>
>>
>

Re: Please reply if you use Mesos fine grained mode

[Soren Macbeth]

we use fine-grained mode. coarse-grained mode keeps JVMs around which often
leads to OOMs, which in turn kill the entire executor, causing entire
stages to be retried. In fine-grained mode, only the task fails and
subsequently gets retried without taking out an entire stage or worse.

On Tue, Nov 3, 2015 at 3:54 PM, Reynold Xin  wrote:

> If you are using Spark with Mesos fine grained mode, can you please
> respond to this email explaining why you use it over the coarse grained
> mode?
>
> Thanks.
>
>

Re: Please reply if you use Mesos fine grained mode

[Reynold Xin]

Soren,

If I understand how Mesos works correctly, even the fine grained mode keeps
the JVMs around?


On Tue, Nov 3, 2015 at 4:22 PM, Soren Macbeth  wrote:

> we use fine-grained mode. coarse-grained mode keeps JVMs around which
> often leads to OOMs, which in turn kill the entire executor, causing entire
> stages to be retried. In fine-grained mode, only the task fails and
> subsequently gets retried without taking out an entire stage or worse.
>
> On Tue, Nov 3, 2015 at 3:54 PM, Reynold Xin  wrote:
>
>> If you are using Spark with Mesos fine grained mode, can you please
>> respond to this email explaining why you use it over the coarse grained
>> mode?
>>
>> Thanks.
>>
>>
>

Re: Please reply if you use Mesos fine grained mode

[Timothy Chen]

Fine grain mode does reuse the same JVM but perhaps different placement or 
different allocated cores comparing to the same total memory allocation.

Tim

Sent from my iPhone

> On Nov 3, 2015, at 6:00 PM, Reynold Xin  wrote:
> 
> Soren,
> 
> If I understand how Mesos works correctly, even the fine grained mode keeps 
> the JVMs around?
> 
> 
>> On Tue, Nov 3, 2015 at 4:22 PM, Soren Macbeth  wrote:
>> we use fine-grained mode. coarse-grained mode keeps JVMs around which often 
>> leads to OOMs, which in turn kill the entire executor, causing entire stages 
>> to be retried. In fine-grained mode, only the task fails and subsequently 
>> gets retried without taking out an entire stage or worse. 
>> 
>>> On Tue, Nov 3, 2015 at 3:54 PM, Reynold Xin  wrote:
>>> If you are using Spark with Mesos fine grained mode, can you please respond 
>>> to this email explaining why you use it over the coarse grained mode?
>>> 
>>> Thanks.
> 

Re: Please reply if you use Mesos fine grained mode

[MEETHU MATHEW]

Hi,
We are using Mesos fine grained mode because we can have multiple instances of 
spark to share machines and each application get resources dynamically 
allocated.  Thanks & Regards,  Meethu M 


 On Wednesday, 4 November 2015 5:24 AM, Reynold Xin  
wrote:
   

 If you are using Spark with Mesos fine grained mode, can you please respond to 
this email explaining why you use it over the coarse grained mode?
Thanks.