On the spark 1.0-jdbc branch, there is a thrift server and a beehive CLI that roughly keeps the shark style, corresponding to the shark server and shark CLI, respectively. Check out https://github.com/apache/spark/blob/branch-1.0-jdbc/docs/sql-programming-guide.md for more information.
Du From: Nicholas Chammas <nicholas.cham...@gmail.com<mailto:nicholas.cham...@gmail.com>> Reply-To: "user@spark.apache.org<mailto:user@spark.apache.org>" <user@spark.apache.org<mailto:user@spark.apache.org>> Date: Thursday, July 10, 2014 at 11:31 AM To: user <user@spark.apache.org<mailto:user@spark.apache.org>> Subject: Re: Difference between SparkSQL and shark In short, Spark SQL is the future, built from the ground up. Shark was built as a drop-in replacement for Hive, will be retired, and will perhaps be replaced by a future initiative to run Hive on Spark<https://issues.apache.org/jira/browse/HIVE-7292>. More info: * http://databricks.com/blog/2014/03/26/spark-sql-manipulating-structured-data-using-spark-2.html * http://databricks.com/blog/2014/07/01/shark-spark-sql-hive-on-spark-and-the-future-of-sql-on-spark.html Nick On Thu, Jul 10, 2014 at 1:50 PM, hsy...@gmail.com<mailto:hsy...@gmail.com> <hsy...@gmail.com<mailto:hsy...@gmail.com>> wrote: I have a newbie question. What is the difference between SparkSQL and Shark? Best, Siyuan
