It would appear the simple answer is to use the JDBC thriftserver in Spark.
Thanks, Ben > On Oct 6, 2016, at 9:38 PM, Matei Zaharia <matei.zaha...@gmail.com> wrote: > > This is exactly what the Spark SQL Thrift server does, if you just want to > access it using JDBC. > > Matei > >> On Oct 6, 2016, at 4:27 PM, Benjamin Kim <bbuil...@gmail.com> wrote: >> >> Has anyone tried to integrate Spark with a server farm of RESTful API >> endpoints or even HTTP web-servers for that matter? I know it’s typically >> done using a web farm as the presentation interface, then data flows through >> a firewall/router to direct calls to a JDBC listener that will SELECT, >> INSERT, UPDATE and, at times, DELETE data in a database. Can the same be >> done using Spark SQL Thriftserver on top of, say, HBase, Kudu, Parquet, >> etc.? Or can Kafka be used somewhere? Spark would be an ideal solution as >> the intermediary because it can talk to any data store underneath; so, >> swapping out a technology at any time would be possible. >> >> Just want some ideas. >> >> Thank, >> Ben >> >> >> --------------------------------------------------------------------- >> To unsubscribe e-mail: user-unsubscr...@spark.apache.org >> > --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
