The JDBC server is what you are looking for:
http://spark.apache.org/docs/latest/sql-programming-guide.html#running-the-thrift-jdbc-server
On Wed, Oct 22, 2014 at 11:10 AM, Sadhan Sood sadhan.s...@gmail.com wrote:
We want to run multiple instances of spark sql cli on our yarn cluster.
Each instance of the cli is to be used by a different user. This looks
non-optimal if each user brings up a different cli given how spark works on
yarn by running executor processes (and hence consuming resources) on
worker nodes for the lifetime of the application. So, the right way seems
like to use the same spark context shared across multiple initializations
and running just one spark sql application. Is the understanding correct ?
Is there a way to do it currently ? Seem like it needs some kind of thrift
interface hooked into the cli driver.
