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




The information contained in this email is strictly confidential and for the 
use of the addressee only, unless otherwise indicated. If you are not the 
intended recipient, please do not read, copy, use or disclose to others this 
message or any attachment. Please also notify the sender by replying to this 
email or by telephone (+44(020 7896 0011) and then delete the email and any 
copies of it. Opinions, conclusion (etc) that do not relate to the official 
business of this company shall be understood as neither given nor endorsed by 
it. IG is a trading name of IG Markets Limited (a company registered in England 
and Wales, company number 04008957) and IG Index Limited (a company registered 
in England and Wales, company number 01190902). Registered address at Cannon 
Bridge House, 25 Dowgate Hill, London EC4R 2YA. Both IG Markets Limited 
(register number 195355) and IG Index Limited (register number 114059) are 
authorised and regulated by the Financial Conduct Authority.

Reply via email to