Re: Querying distinct values from a large table
Chad Wagner <chad.wagner@gmail.com>
From: "Chad Wagner" <chad.wagner@gmail.com>
To: "Simon Riggs" <simon@2ndquadrant.com>
Cc: "Igor Lobanov" <ilobanov@swsoft.com>, "Richard Huxton" <dev@archonet.com>, pgsql-performance@postgresql.org
Date: 2007-01-30T14:13:27Z
Lists: pgsql-performance
On 1/30/07, Simon Riggs <simon@2ndquadrant.com> wrote: > > > explain analyze select distinct a, b from tbl > > > > EXPLAIN ANALYZE output is: > > > > Unique (cost=500327.32..525646.88 rows=1848 width=6) (actual > > time=52719.868..56126.356 rows=5390 loops=1) > > -> Sort (cost=500327.32..508767.17 rows=3375941 width=6) (actual > > time=52719.865..54919.989 rows=3378864 loops=1) > > Sort Key: a, b > > -> Seq Scan on tbl (cost=0.00..101216.41 rows=3375941 > > width=6) (actual time=16.643..20652.610 rows=3378864 loops=1) > > Total runtime: 57307.394 ms > > All your time is in the sort, not in the SeqScan. > > Increase your work_mem. > Sounds like an opportunity to implement a "Sort Unique" (sort of like a hash, I guess), there is no need to push 3M rows through a sort algorithm to only shave it down to 1848 unique records. I am assuming this optimization just isn't implemented in PostgreSQL? -- Chad http://www.postgresqlforums.com/