Check out http://toree.incubator.apache.org/. It might help with your need.

 

From: moshir mikael [mailto:moshir.mik...@gmail.com] 
Sent: Monday, February 29, 2016 5:58 AM
To: Alex Dzhagriev <dzh...@gmail.com>
Cc: user <user@spark.apache.org>
Subject: Re: Spark Integration Patterns

 

Thanks, will check too, however : just want to use Spark core RDD and standard 
data sources.

 

Le lun. 29 févr. 2016 à 14:54, Alex Dzhagriev <dzh...@gmail.com 
<mailto:dzh...@gmail.com> > a écrit :

Hi Moshir,

 

Regarding the streaming, you can take a look at the spark streaming, the 
micro-batching framework. If it satisfies your needs it has a bunch of 
integrations. Thus, the source for the jobs could be Kafka, Flume or Akka.

 

Cheers, Alex.

 

On Mon, Feb 29, 2016 at 2:48 PM, moshir mikael <moshir.mik...@gmail.com 
<mailto:moshir.mik...@gmail.com> > wrote:

Hi Alex,

thanks for the link. Will check it.

Does someone know of a more streamlined approach ?

 

 

 

Le lun. 29 févr. 2016 à 10:28, Alex Dzhagriev <dzh...@gmail.com 
<mailto:dzh...@gmail.com> > a écrit :

Hi Moshir,

 

I think you can use the rest api provided with Spark: 
https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/deploy/rest/RestSubmissionServer.scala

 

Unfortunately, I haven't find any documentation, but it looks fine.

Thanks, Alex.

 

On Sun, Feb 28, 2016 at 3:25 PM, mms <moshir.mik...@gmail.com 
<mailto:moshir.mik...@gmail.com> > wrote:

Hi, I cannot find a simple example showing how a typical application can 
'connect' to a remote spark cluster and interact with it. Let's say I have a 
Python web application hosted somewhere outside a spark cluster, with just 
python installed on it. How can I talk to Spark without using a notebook, or 
using ssh to connect to a cluster master node ? I know of spark-submit and 
spark-shell, however forking a process on a remote host to execute a shell 
script seems like a lot of effort What are the recommended ways to connect and 
query Spark from a remote client ? Thanks Thx ! 

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