Re: tsearch2 poor performance - Mailing list pgsql-admin
| From | Kris Kiger |
|---|---|
| Subject | Re: tsearch2 poor performance |
| Date | |
| Msg-id | 41586264.5020302@musicrebellion.com Whole thread Raw |
| In response to | Re: tsearch2 poor performance ("Gregory S. Williamson" <gsw@globexplorer.com>) |
| Responses |
Re: tsearch2 poor performance
Re: tsearch2 poor performance |
| List | pgsql-admin |
Yes, it is much better than no index of sequential scan. We may just be
looking at the best performance tsearch2 can offer on my machine.
search_test=# explain analyze SELECT count(q) FROM product,
to_tsquery('oil') AS q WHERE vector @@ q;
QUERY PLAN
-----------------------------------------------------------------------------------------------------------------------------------
Aggregate (cost=67847264.50..67847264.50 rows=1 width=32) (actual
time=83311.552..83311.555 rows=1 loops=1)
-> Nested Loop (cost=12.50..67839764.50 rows=3000001 width=32)
(actual time=0.204..81960.198 rows=226357 loops=1)
Join Filter: ("outer".vector @@ "inner".q)
-> Seq Scan on product (cost=0.00..339752.00 rows=3000000
width=32) (actual time=0.100..27415.795 rows=3000000 loops=1)
-> Materialize (cost=12.50..22.50 rows=1000 width=32) (actual
time=0.003..0.006 rows=1 loops=3000000)
-> Function Scan on q (cost=0.00..12.50 rows=1000
width=32) (actual time=0.020..0.024 rows=1 loops=1)
Total runtime: 83311.735 ms
(7 rows)
search_test=# explain analyze select count(*) from product where
description like '% oil %';
QUERY PLAN
------------------------------------------------------------------------------------------------------------------------
Aggregate (cost=347264.01..347264.01 rows=1 width=0) (actual
time=39858.350..39858.353 rows=1 loops=1)
-> Seq Scan on product (cost=0.00..347252.00 rows=4801 width=0)
(actual time=0.100..38320.293 rows=226357 loops=1)
Filter: (description ~~ '% oil %'::text)
Total runtime: 39858.491 ms
>>Oleg,
>>
>> Thanks for the help on this.
>>
>> The query I used to return the 508 number is:
>> SELECT * FROM stat('SELECT vector FROM product') ORDER BY ndoc
>>desc, word ;
>>
>> Testing says, the more words I use, the faster the query is. My
>>original search word, 'oil', appears in 226,357 documents 233,266 times.
>> As far as distinct words go, 'oil' is middle of the road for
>>occurences. As it is set up now, the best search time I am getting on
>>this single word is roughly 22 seconds.
>>
>>
>
>Does this time (22 seconds) is still better than seq. scan (no index)
>or standard 'LIKE' ?
>
>
>
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