From: | Richard Huxton <dev(at)archonet(dot)com> |
---|---|
To: | Jan Kesten <jan(dot)kesten(at)web(dot)de> |
Cc: | pgsql-performance(at)postgresql(dot)org |
Subject: | Re: Improving performance on multicolumn query |
Date: | 2005-11-09 12:54:45 |
Message-ID: | 4371F195.6060204@archonet.com |
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Thread: | |
Lists: | pgsql-performance |
Jan Kesten wrote:
>
> First, I'm using postgresql 7.4.7 on a 2GHz machine having 1.5GByte RAM
> and I have a table with about 220 columns and 20000 rows - and the first
> five columns build a primary key (and a unique index).
> transfer=> explain analyse SELECT * FROM test WHERE test_a=9091150001
> AND test_b=1 AND test_c=2 AND test_d=0 AND test_e=0;
>
> Index Scan using test_idx on test (cost=0.00..50.27 rows=1 width=1891)
> (actual time=0.161..0.167 rows=1 loops=1)
> Index Cond: (test_a = 9091150001::bigint)
> Filter: ((test_b = 1) AND (test_c = 2) AND (test_d = 0) AND (test_e 0))
This says it's taking less than a millisecond - which is almost
certainly too fast to measure accurately anyway. Are you sure this query
is the problem?
> So, what to do to speed things up? If I understand correctly this
> output, the planner uses my index (test_idx is the same as test_pkey
> created along with the table), but only for the first column.
1. Are all of test_a/b/c/d/e bigint rather than int?
2. Have you tried explicitly casting your query parameters?
...WHERE test_a=123::bigint AND test_b=456::bigint...
--
Richard Huxton
Archonet Ltd
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