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From Cody Koeninger <c...@koeninger.org>
Subject Re: Seeking advice on realtime querying over JDBC
Date Thu, 02 Jun 2016 17:58:52 GMT
Why are you wanting to expose spark over jdbc as opposed to just
inserting the records from kafka into a jdbc compatible data store?

On Thu, Jun 2, 2016 at 12:47 PM, Sunita Arvind <sunitarvind@gmail.com> wrote:
> Hi Experts,
>
> We are trying to get a kafka stream ingested in Spark and expose the
> registered table over JDBC for querying. Here are some questions:
> 1. Spark Streaming supports single context per application right? If I have
> multiple customers and would like to create a kafka topic for each of them
> and 1 streaming context for every topic is this doable? As per the current
> spark documentation,
> http://spark.apache.org/docs/latest/streaming-programming-guide.html#initializing-streamingcontext
> I can have only 1 active streaming context at a time. Is there no way around
> that? The use case here is, if I am looking at a 5 min window, the window
> should have records for that customer only, which is possible only by having
> customer specific streaming context.
>
> 2. If I am able to create multiple contexts in this fashion, can I register
> them as temp tables in my application and expose them over JDBC. Going by
> https://forums.databricks.com/questions/1464/how-to-configure-thrift-server-to-use-a-custom-spa.html,
> looks like I can connect the thrift server to a single sparkSQL Context.
> Having multiple streaming contexts means I automatically have multiple SQL
> contexts?
>
> 3. Can I use SQLContext or do I need to have HiveContext in order to see the
> tables registered via Spark application through the JDBC?
>
> regards
> Sunita

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