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.
