can i process multiple batch in parallel in spark streaming

2015-12-09 Thread prateek arora
Hi

when i run my spark streaming application .. following information show on
application streaming UI.
i am using spark 1.5.0


Batch Time  Input Size   Scheduling Delay (?) Processing Time (?)
Status
2015/12/09 11:00:42 107 events  -   -   
queued  
2015/12/09 11:00:41 103 events  -   -   
queued
2015/12/09 11:00:40 107 events  -   -   
queued
2015/12/09 11:00:39 105 events  -   -   
queued
2015/12/09 11:00:38 109 events  -   -   
queued
2015/12/09 11:00:37 106 events  -   -   
queued
2015/12/09 11:00:36 109 events  -   -   
queued
2015/12/09 11:00:35 113 events  -   -   
queued
2015/12/09 11:00:34 109 events  -   -   
queued
2015/12/09 11:00:33 107 events  -   -   
queued
2015/12/09 11:00:32 99 events   42 s-   
processing



it seems batches push into queue and work like FIFO manner  . is it possible
all my Active batches start processing in parallel.

Regards
Prateek



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Re: can i process multiple batch in parallel in spark streaming

2015-12-09 Thread prateek arora
Hi Thanks

In my scenario batches are independent .so is it safe to use in production
environment ?

Regards
Prateek

On Wed, Dec 9, 2015 at 11:39 AM, Ted Yu <yuzhih...@gmail.com> wrote:

> Have you seen this thread ?
>
> http://search-hadoop.com/m/q3RTtgSGrobJ3Je
>
> On Wed, Dec 9, 2015 at 11:12 AM, prateek arora <prateek.arora...@gmail.com
> > wrote:
>
>> Hi
>>
>> when i run my spark streaming application .. following information show on
>> application streaming UI.
>> i am using spark 1.5.0
>>
>>
>> Batch Time  Input Size   Scheduling Delay (?) Processing Time
>> (?)
>> Status
>> 2015/12/09 11:00:42 107 events  -   -
>>queued
>> 2015/12/09 11:00:41 103 events  -   -
>>queued
>> 2015/12/09 11:00:40 107 events  -   -
>>queued
>> 2015/12/09 11:00:39 105 events  -   -
>>queued
>> 2015/12/09 11:00:38 109 events  -   -
>>queued
>> 2015/12/09 11:00:37 106 events  -   -
>>queued
>> 2015/12/09 11:00:36 109 events  -   -
>>queued
>> 2015/12/09 11:00:35 113 events  -   -
>>queued
>> 2015/12/09 11:00:34 109 events  -   -
>>queued
>> 2015/12/09 11:00:33 107 events  -   -
>>queued
>> 2015/12/09 11:00:32 99 events   42 s-
>>processing
>>
>>
>>
>> it seems batches push into queue and work like FIFO manner  . is it
>> possible
>> all my Active batches start processing in parallel.
>>
>> Regards
>> Prateek
>>
>>
>>
>> --
>> View this message in context:
>> http://apache-spark-user-list.1001560.n3.nabble.com/can-i-process-multiple-batch-in-parallel-in-spark-streaming-tp25653.html
>> Sent from the Apache Spark User List mailing list archive at Nabble.com.
>>
>> -
>> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org
>> For additional commands, e-mail: user-h...@spark.apache.org
>>
>>
>


Re: can i process multiple batch in parallel in spark streaming

2015-12-09 Thread Ted Yu
Have you seen this thread ?

http://search-hadoop.com/m/q3RTtgSGrobJ3Je

On Wed, Dec 9, 2015 at 11:12 AM, prateek arora <prateek.arora...@gmail.com>
wrote:

> Hi
>
> when i run my spark streaming application .. following information show on
> application streaming UI.
> i am using spark 1.5.0
>
>
> Batch Time  Input Size   Scheduling Delay (?) Processing Time
> (?)
> Status
> 2015/12/09 11:00:42 107 events  -   -
>  queued
> 2015/12/09 11:00:41 103 events  -   -
>  queued
> 2015/12/09 11:00:40 107 events  -   -
>  queued
> 2015/12/09 11:00:39 105 events  -   -
>  queued
> 2015/12/09 11:00:38 109 events  -   -
>  queued
> 2015/12/09 11:00:37 106 events  -   -
>  queued
> 2015/12/09 11:00:36 109 events  -   -
>  queued
> 2015/12/09 11:00:35 113 events  -   -
>  queued
> 2015/12/09 11:00:34 109 events  -   -
>  queued
> 2015/12/09 11:00:33 107 events  -   -
>  queued
> 2015/12/09 11:00:32 99 events   42 s-
>  processing
>
>
>
> it seems batches push into queue and work like FIFO manner  . is it
> possible
> all my Active batches start processing in parallel.
>
> Regards
> Prateek
>
>
>
> --
> View this message in context:
> http://apache-spark-user-list.1001560.n3.nabble.com/can-i-process-multiple-batch-in-parallel-in-spark-streaming-tp25653.html
> Sent from the Apache Spark User List mailing list archive at Nabble.com.
>
> -
> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org
> For additional commands, e-mail: user-h...@spark.apache.org
>
>