regards wenli
On 08/08/2016 10:16, Edward Capriolo wrote:
A few entities going to "kill/take out/better than hive"
I seem to remember HadoopDb, Impala, RedShift , voltdb...
But apparent hive is still around and probably faster
http://www.slideshare.net/hortonworks/hive-on-spark-is-blazing-fast-or-is-it-final
On Sun, Aug 7, 2016 at 9:49 PM, 理 <[email protected]> wrote:
in my opinion, multiple engine is not advantage, but reverse. it
disperse the dev energy.
consider the activity ,sparksql support all tpc ds without modify syntax!
but hive cannot.
consider the tech, dag, vectorization, etc sparksql also has, seems the
code is more efficiently.
regards
On 08/08/2016 08:48, Will Du wrote:
First, hive supports different engines. Look forward it's dynamic engine switch
Second, look forward hadoop 3rd gen and map reduce on memory will fill the gap
Thanks,
Will
On 2016年8月7日, at 20:27, 理 <[email protected]> wrote:
hi,
sparksql improve so fast, both hive and sparksql are similar, so hive
will lost or not?
regards
