That helps a lot.
Thanks.
Zhanfeng Huo
From: Davies Liu
Date: 2014-08-18 14:31
To: ryaminal
CC: u...@spark.incubator.apache.org
Subject: Re: application as a service
Another option is using Tachyon to cache the RDD, then the cache can
be shared by different applications. See how to use
Another option is using Tachyon to cache the RDD, then the cache can
be shared by different applications. See how to use Spark with
Tachyon: http://tachyon-project.org/Running-Spark-on-Tachyon.html
Davies
On Sun, Aug 17, 2014 at 4:48 PM, ryaminal wrote:
> You can also look into using ooyala's j
Thank you Eugen Cepoi, I will try it now.
Zhanfeng Huo
From: Eugen Cepoi
Date: 2014-08-17 23:34
To: Zhanfeng Huo
CC: user
Subject: Re: application as a service
Hi,
You can achieve it by running a spray service for example that has access to
the RDD in question. When starting the app you
You can also look into using ooyala's job server at
https://github.com/ooyala/spark-jobserver
This already has a spary server built in that allows you to do what has
already been explained above. Sounds like it should solve your problem.
Enjoy!
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Hi,
You can achieve it by running a spray service for example that has access
to the RDD in question. When starting the app you first build your RDD and
cache it. In your spray "endpoints" you will translate the HTTP requests to
operations on that RDD.
2014-08-17 17:27 GMT+02:00 Zhanfeng Huo :
