ODP: Planner performance in partitions

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@Michael Lewis: I know documentation. I'm just considerations about possible performance tricks in current production version. I've tested this on V12 on another computer and I can say that I'm impressed. I've checked on 1200 partitions and times are:

 

PostgreSQL11.5:

  • select on main partition (public.book): planner: 60ms, execution: 5ms
  • select on partitioned table (public.book_1-1000): planner: 2.7 ms, execution: 2,4 ms

PostgreSQL 12B3:

  • select on main partition (public.book): planner: 2,5ms , execution: 1,2ms
  • select on partitioned table (public.book_1-1000): planner: 2.5 ms, execution: 1,2 ms

 

So looking at above results we have two options:

  • Wait for 12.0 stable version 😉
  • Wait for patches to 11 – PostgreSQL Team: can You do this? 😊

 

Pozdrawiam,

Piotr Włodarczyk

 

Od: MichaelDBA
Wysłano: poniedziałek, 12 sierpnia 2019 21:25
Do: Michael Lewis
DW: Piotr Włodarczyk; pgsql-performance@xxxxxxxxxxxxxxxxxxxx
Temat: Re: Planner performance in partitions

 

Queries against tables with a lot of partitions (> 1000) start to incur an increasing planning time duration even with the current version, V11.  V12 purportedly has fixed this problem, allowing thousands of partitioned tables without a heavy planning cost.  Can't seem to find the threads on this topic, but there are out there.  I personally noted a gigantic increase in planning time once I got past 1500 partitioned tables in V11.

On another note, hopefully they have fixed runtime partition pruning in V12 since V11 introduced it but some query plans don't use it, so you have to reconstruct some queries to sub queries to make it work correctly.

Regards,
Michael Vitale


Michael Lewis wrote on 8/12/2019 3:05 PM:

"It is also important to consider the overhead of partitioning during query planning and execution. The query planner is generally able to handle partition hierarchies with up to a few hundred partitions fairly well, provided that typical queries allow the query planner to prune all but a small number of partitions. Planning times become longer and memory consumption becomes higher as more partitions are added." (emphasis added)

 

 


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