Perhaps this project, https://github.com/calrissian/spark-jetty-server, could help with your requirements.
On Tue, Mar 24, 2015 at 7:12 AM, Jeffrey Jedele <jeffrey.jed...@gmail.com> wrote: > I don't think there's are general approach to that - the usecases are just > to different. If you really need it, you probably will have to implement > yourself in the driver of your application. > > PS: Make sure to use the reply to all button so that the mailing list is > included in your reply. Otherwise only I will get your mail. > > Regards, > Jeff > > 2015-03-24 12:01 GMT+01:00 Ashish Mukherjee <ashish.mukher...@gmail.com>: > >> Hi Jeffrey, >> >> Thanks. Yes, this resolves the SQL problem. My bad - I was looking for >> something which would work for Spark Streaming and other Spark jobs too, >> not just SQL. >> >> Regards, >> Ashish >> >> On Tue, Mar 24, 2015 at 4:07 PM, Jeffrey Jedele <jeffrey.jed...@gmail.com >> > wrote: >> >>> Hi Ashish, >>> this might be what you're looking for: >>> >>> >>> https://spark.apache.org/docs/latest/sql-programming-guide.html#running-the-thrift-jdbcodbc-server >>> >>> Regards, >>> Jeff >>> >>> 2015-03-24 11:28 GMT+01:00 Ashish Mukherjee <ashish.mukher...@gmail.com> >>> : >>> >>>> Hello, >>>> >>>> As of now, if I have to execute a Spark job, I need to create a jar and >>>> deploy it. If I need to run a dynamically formed SQL from a Web >>>> application, is there any way of using SparkSQL in this manner? Perhaps, >>>> through a Web Service or something similar. >>>> >>>> Regards, >>>> Ashish >>>> >>> >>> >> >
