Re: [HACKERS] Parallel Append implementation
От | Rafia Sabih |
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Тема | Re: [HACKERS] Parallel Append implementation |
Дата | |
Msg-id | CAOGQiiMBhhAJLmHMw9DNjkqE-GUsG2KU8mVczr9-wnUcX7OY6Q@mail.gmail.com обсуждение исходный текст |
Ответ на | Re: [HACKERS] Parallel Append implementation (Amit Khandekar <amitdkhan.pg@gmail.com>) |
Ответы |
Re: [HACKERS] Parallel Append implementation
|
Список | pgsql-hackers |
On Thu, Aug 10, 2017 at 11:04 AM, Amit Khandekar <amitdkhan.pg@gmail.com> wrote: > On 9 August 2017 at 19:05, Robert Haas <robertmhaas@gmail.com> wrote: >> On Wed, Jul 5, 2017 at 7:53 AM, Amit Khandekar <amitdkhan.pg@gmail.com> wrote: >>>> This is not applicable on the latest head i.e. commit -- >>>> 08aed6604de2e6a9f4d499818d7c641cbf5eb9f7, looks like need a rebasing. >>> >>> Thanks for notifying. Attached is the rebased version of the patch. >> >> This again needs a rebase. > > Attached rebased version of the patch. Thanks. > I tested this patch for partitioned TPC-H queries along with partition-wise join patches [1]. The experimental setup used is as follows, Partitions were done on tables lineitem and orders and the partitioned keys were l_orderkey and o_orderkey respectively. Range partitioning scheme was used and the total number of partitions for each of the tables was 17. These experiments are on scale factor 20. Server parameters are kept as follows, work_mem = 1GB shared_buffers = 10GB effective_cache_size = 10GB All the values of time are in seconds Query | Head | ParallelAppend + PWJ | Patches used by query Q1 | 395 | 398 | only PA Q3 | 130 | 90 | only PA Q4 | 244 | 12 | PA and PWJ, time by only PWJ - 41 Q5 | 123 | 77 | PA only Q6 | 29 | 12 | PA only Q7 | 134 | 88 | PA only Q9 | 1051 | 1135 | PA only Q10 | 111 | 70 | PA and PWJ, time by only PWJ - 89 Q12 | 114 | 70 | PA and PWJ, time by only PWJ - 100 Q14 | 13 | 12 | PA only Q18 | 508 | 489 | PA only Q21 | 649 | 163 | PA only To conclude, the patch is working good for the benchmark with no serious cases of regression atleast at this scale factor and the improvement in performance is significant. Please find the attached file for the explain analyse output of the queries. [1] CAFjFpRfy-YBL6AX3yeO30pAupTMQXgkxDc2P3XBK52QDzGtX5Q@mail.gmail.com -- Regards, Rafia Sabih EnterpriseDB: http://www.enterprisedb.com/ -- Sent via pgsql-hackers mailing list (pgsql-hackers@postgresql.org) To make changes to your subscription: http://www.postgresql.org/mailpref/pgsql-hackers
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