You can serve queries over your RDD data yes, and return results to the
user/client as long as your driver is alive.
For example, I have built a play! application that acts as a driver
(creating a spark context), loads up data from my database, organize it and
subsequently receive and process use
a server app based on Spark. Perhaps
> Spark SQL is that general way and I'll soon find out. Thanks.
>
> From: mich...@databricks.com
> Date: Mon, 27 Oct 2014 14:35:46 -0700
> Subject: Re: Spark to eliminate full-table scan latency
> To: ronalday...@live.com
> CC: user@spar
be cool if there
was some general way to create a server app based on Spark. Perhaps Spark SQL
is that general way and I'll soon find out. Thanks.
From: mich...@databricks.com
Date: Mon, 27 Oct 2014 14:35:46 -0700
Subject: Re: Spark to eliminate full-table scan latency
To: ronalday...@live.c
You can access cached data in spark through the JDBC server:
http://spark.apache.org/docs/latest/sql-programming-guide.html#running-the-thrift-jdbc-server
On Mon, Oct 27, 2014 at 1:47 PM, Ron Ayoub wrote:
> We have a table containing 25 features per item id along with feature
> weights. A corre
