Hive on Spark is Hive which takes sql statements in and creates Spark jobs for processing instead of Mapreduce or Tez.
There is no such thing as "Spark on Hive", but there is SparkSQL. SparkSQL can accept both programmatic statements or it can parse SQL statements to produce a native Spark DataFrame. It does provide connectivity to the Hive metastore, and in Spark 1.6 does call into Hive to provide functionality that doesn't yet exist natively in Spark. I'm not sure how much of that still exists in Spark 2.0, but I think much of it has been converted into native Spark functions. There is also the SparkSQL shell and thrift server which provides a SQL only interface, but uses all the native Spark pipeline. Hope this helps! -Nick Nicholas Szandor Hakobian, Ph.D. Senior Data Scientist Rally Health nicholas.hakob...@rallyhealth.com On Mon, Jan 9, 2017 at 7:05 AM, 李斌松 <libinsong1...@gmail.com> wrote: > What is the difference between hive on spark and spark on hive? >
