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From Tathagata Das <t...@databricks.com>
Subject Re: Dynamic DAG use-case for spark streaming.
Date Tue, 29 Sep 2015 20:07:16 GMT
A very basic support that is there in DStream is DStream.transform() which
take arbitrary RDD => RDD function. This function can actually choose to do
different computation with time. That may be of help to you.

On Tue, Sep 29, 2015 at 12:06 PM, Archit Thakur <archit279thakur@gmail.com>
wrote:

> Hi,
>
>  We are using spark streaming as our processing engine, and as part of
> output we want to push the data to UI. Now there would be multiple users
> accessing the system with there different filters on. Based on the filters
> and other inputs we want to either run a SQL Query on DStream or do a
> custom logic processing. This would need the system to read the
> filters/query and generate the execution graph at runtime. I cant see any
> support in spark streaming for generating the execution graph on the fly.
> I think I can broadcast the query to executors and read the broadcasted
> query at runtime but that would also limit my user to 1 at a time.
>
> Do we not expect the spark streaming to take queries/filters from outside
> world. Does output in spark streaming only means outputting to an external
> source which could then be queried.
>
> Thanks,
> Archit Thakur.
>

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