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From Hong Wu <xunzhang...@gmail.com>
Subject Re: HAWQ Perfomance.
Date Tue, 18 Oct 2016 03:09:03 GMT
Hi Mike,

For another question you mentioned, we are trying to sync with upstream
Postgres. Since it is so difficult to make it in just one big step, we need
to do that module by module, feature by feature. For example, in HAWQ-786,
we try to import FDW from Postgres 9.6x, and this is still on the way.

The forking philosophy from Postgres brings HAWQ lots of great advantages
but at the same time we suffer a lot to update from Postgres community. We
are just trying to do this.


2016-10-18 5:11 GMT+08:00 Michael Pearce <Michael.Pearce@ig.com>:

> Hi All,
> As now HAWQ is being caught up with by some competitors in terms of real
> use performance, and in some cases be out performed, most notably Spark 2.0
> some queries we can perform faster since project tungsten.
> Obviously HAWQ still has the SQL completeness advantage but this also is a
> slowly changing space, where Spark and others are improving.
> Is there any plans to start looking improving the execution performance of
> HAWQ further with parquet vectorisation and whole stage codegen?
> http://www.slideshare.net/databricks/spark-performance-whats-next
> http://blog.2ndquadrant.com/postgresql-10-roadmap/
> On the note of the postgres 10 roadmap. Is there any plans of updating
> compatibility / the fork of postgres to later versions (back merging),
> afaik HAWQ is a fork of 8.x which is quite dated.
> Im sure already all of these questions are answered/discussed, but it be
> great to get some visibility into the roadmap for these areas for HAWQ.
> Cheers
> Mike
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