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From Sathish Kumaran Vairavelu <vsathishkuma...@gmail.com>
Subject Re: Spark SQL 2.1 Complex SQL - Query Planning Issue
Date Sun, 02 Apr 2017 15:54:58 GMT
Please let me know if anybody has any thoughts on this issue?

On Thu, Mar 30, 2017 at 10:37 PM Sathish Kumaran Vairavelu <
vsathishkumaran@gmail.com> wrote:

> Also, is it possible to cache logical plan and parsed query so that in
> subsequent executions it can be reused. It would improve overall query
> performance particularly in streaming jobs
> On Thu, Mar 30, 2017 at 10:06 PM Sathish Kumaran Vairavelu <
> vsathishkumaran@gmail.com> wrote:
>
> Hi Ayan,
>
> I have searched Spark configuration options but couldn't find one to pin
> execution plans in memory. Can you please help?
>
>
> Thanks
>
> Sathish
>
> On Thu, Mar 30, 2017 at 9:30 PM ayan guha <guha.ayan@gmail.com> wrote:
>
> I think there is an option of pinning execution plans in memory to avoid
> such scenarios....
>
> On Fri, Mar 31, 2017 at 1:25 PM, Sathish Kumaran Vairavelu <
> vsathishkumaran@gmail.com> wrote:
>
> Hi Everyone,
>
> I have complex SQL with approx 2000 lines of code and works with 50+
> tables with 50+ left joins and transformations. All the tables are fully
> cached in Memory with sufficient storage memory and working memory. The
> issue is after the launch of the query for the execution; the query takes
> approximately 40 seconds to appear in the Jobs/SQL in the application UI.
>
> While the execution takes only 25 seconds; the execution is delayed by 40
> seconds by the scheduler so the total runtime of the query becomes 65
> seconds(40s + 25s). Also, there are enough cores available during this wait
> time. I couldn't figure out why DAG scheduler is delaying the execution by
> 40 seconds. Is this due to time taken for Query Parsing and Query Planning
> for the Complex SQL? If thats the case; how do we optimize this Query
> Parsing and Query Planning time in Spark? Any help would be helpful.
>
>
> Thanks
>
> Sathish
>
>
>
>
> --
> Best Regards,
> Ayan Guha
>
>

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