Hi,

You can run as many jobs in your cluster as you want, provided you have
enough capacity.
The one streaming context constrain is per job.

You can submit several jobs for Flume and some other for Twitter, Kafka,
etc...

If you are getting started with Streaming with Spark, I'd recommend you to
look into Structured Streaming first.
In Structured Streaming, you can have many streaming queries running under
the same spark session.
Yet, that does not mean you need to put them all in the same job. You can
(and should) still submit different jobs for different application concerns.

kind regards, Gerard.



On Wed, Mar 7, 2018 at 4:56 AM, ☼ R Nair (रविशंकर नायर) <
ravishankar.n...@gmail.com> wrote:

> Hi all,
>
> Understand from documentation that, only one streaming context can be
> active in a JVM at the same time.
>
> Hence in an enterprise cluster, how can we manage/handle multiple users
> are having many different streaming applications, one may be ingesting data
> from Flume, another from Twitter etc? Is this not available now?
>
> Best,
> Passion
>

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