Re: Gist indexing performance with cidr types

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От Henrik Thostrup Jensen
Тема Re: Gist indexing performance with cidr types
Дата
Msg-id alpine.DEB.2.11.1508261031400.35330@pyrite
обсуждение исходный текст
Ответ на Re: Gist indexing performance with cidr types  (Henrik Thostrup Jensen <htj@nordu.net>)
Ответы Re: Gist indexing performance with cidr types  (Emre Hasegeli <emre@hasegeli.com>)
Список pgsql-performance
On Wed, 26 Aug 2015, Henrik Thostrup Jensen wrote:

>> Can you try 9.5 to see if they help?
>
> I'll try installing it and report back.

I upgraded to 9.5 (easier than expected) and ran vacuum analyze.

The query planner now chooses index scan for outer and inner join. This
seems to cut off roughly a second or so (31s -> 30s, and 17s->16s for when
using distint on initial route set).

Query:

EXPLAIN (ANALYZE, BUFFERS)
SELECT rv.route, rv.asn, rv.source FROM
     (SELECT DISTINCT route FROM routes_view WHERE asn = %s) r
INNER JOIN routes_view rv ON (r.route && rv.route)
ORDER BY rv.route;

Explain analyze: http://explain.depesz.com/s/L7kZ


9.5 also seems to fix the case with using CTE/WITH was actually slower.
The fastest I can currently do is this, which finds the minimal set of
covering routes before joining:

SET enable_bitmapscan = false;
EXPLAIN ANALYZE
WITH
distinct_routes AS (SELECT DISTINCT route FROM routes_view WHERE asn = %s),
minimal_routes  AS (SELECT route FROM distinct_routes
                     EXCEPT
                     SELECT r1.route
                     FROM distinct_routes r1 INNER JOIN distinct_routes r2 ON (r1.route << r2.route))
SELECT rv.route, rv.asn, rv.source
FROM routes_view rv
JOIN minimal_routes ON (rv.route <<= minimal_routes.route);

Explain analyze: http://explain.depesz.com/s/Plx4

The query planner chooses bitmap Index Scan for this query, which adds
around .5 second the query time, so it isn't that bad of a decision.

Unfortunately it still takes 15 seconds for my test case (a big network,
but still a factor 10 from the biggest).

Are the coverage operatons just that expensive?


     Best regards, Henrik



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