Got it, thanks
On Wed, Mar 7, 2018 at 4:32 AM, Gerard Maas wrote:
> 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
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
Hi,
You can have multiple streams under same streaming context and process them
accordingly.
With regards,
Sagar Grover
Phone - 7022175584
On Wed, Mar 7, 2018 at 9:26 AM, ☼ R Nair (रविशंकर नायर) <
ravishankar.n...@gmail.com> wrote:
> Hi all,
>
> Understand from documentation that, only one
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