If reading directly from file then Spark SQL should be your choice
On Mon, Aug 28, 2017 at 10:25 PM Michael Artz <michaelea...@gmail.com> wrote: > Just to be clear, I'm referring to having Spark reading from a file, not > from a Hive table. And it will have tungsten engine off heap serialization > after 2.1, so if it was a test with like 1.63 it won't be as helpful. > > > On Mon, Aug 28, 2017 at 10:50 AM, Michael Artz <michaelea...@gmail.com> > wrote: > >> Hi, >> There isn't any good source to answer the question if Hive as an >> SQL-On-Hadoop engine just as fast as Spark SQL now? I just want to know if >> there has been a comparison done lately for HiveQL vs Spark SQL on Spark >> versions 2.1 or later. I have a large ETL process, with many table joins >> and some string manipulation. I don't think anyone has done this kind of >> testing in a while. With Hive LLAP being so performant, I am trying to >> make the case for using Spark and some of the architects are light on >> experience so they are scared of Scala. >> >> Thanks >> >> >> > > > -- Sent from Gmail Mobile
