On Wed, Apr 15, 2020 at 08:55:53PM +0100, singh400@xxxxxxxxx wrote:
> We have an odd issue where specifying the same where clause twice causes PG
> to pick a much more efficent plan. We would like to know why.
> Query B (this is the 'fast' query):
> UPDATE problem_instance SET processed = false
> FROM problem
> WHERE problem.id = problem_instance.problem_id
> AND problem.status != 2
> AND problem.status != 2
> AND processed = true;
When you specify redundant condition, it results in an underestimate, as
expected:
Index Scan using problem_id_idx1 on public.problem (cost=0.28..624.68 ROWS=73 width=14) (actual time=0.011..0.714 ROWS=841 loops=1)
Filter: ((problem.status <> 2) AND (problem.status <> 2))
In this case, doing an index scans on problem_instance is apparently faster
than an seq scan.
I think the duplicate condition is fooling the planner, and by chance it's
giving a better plan. That might indicate that your settings aren't ideal.
Maybe random_page_cost should be lower, which would encourage index scans. If
you're using SSD storage, or if the DB is small compared with shared_buffers or
RAM, then random_page_cost should be closer to seq_page_cost.
How large are the indexes? problem_id_idx1 ?
On Mon, Apr 20, 2020 at 01:50:17AM +0100, singh400@xxxxxxxxx wrote:
> Even after upgrading my local install of PG to "PostgreSQL 12.2,
> compiled by Visual C++ build 1914, 64-bit" and I'm still seeing the
> same behaviour.
> Server Configuration:
> https://gist.github.com/indy-singh/8386d59206af042d365e5cd49fbae68f
> shared_buffers 2GB configuration file
> effective_cache_size 6GB configuration file
Note, until v10, the documentation said this:
https://www.postgresql.org/docs/9.6/runtime-config-resource.html
|Also, on Windows, large values for shared_buffers aren't as effective. You may
|find better results keeping the setting relatively low and using the operating
|system cache more instead. The useful range for shared_buffers on Windows
|systems is generally from 64MB to 512MB.
It would be interesting to know
--
Justin
