Two options that I can think of:
1) Use the Spark SQL Thrift/JDBC server.
2) Develop a web app using some framework such as Play and expose a set of
REST APIs for sending queries. Inside your web app backend, you initialize the
Spark SQL context only once when your app initializes.
Alaa,
one option is to use Spark as a cache, importing subset of data from
hbase/phoenix that fits in memory, and using jdbcrdd to get more data on
cache miss. The front end can be created with pyspark and flusk, either as
rest api translating json requests to sparkSQL dialect, or simply
