Poor index choice -- multiple indexes of the same columns
От | Karl O. Pinc |
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Тема | Poor index choice -- multiple indexes of the same columns |
Дата | |
Msg-id | 1119913766l.4428l.2l@mofo обсуждение исходный текст |
Ответы |
Re: Poor index choice -- multiple indexes of the same columns
Re: Poor index choice -- multiple indexes of the same columns |
Список | pgsql-performance |
Postgresql 8.0.3 Hi, I have a query select 1 from census where date < '1975-9-21' and sname = 'RAD' and status != 'A' limit 1; Explain analyze says it always uses the index made by: CREATE INDEX census_date_sname ON census (date, sname); this is even after I made the index: CREATE INDEX census_sname_date ON census (sname, date); I made census_sname_date because it ran too slow. By deleting census_date_sname (temporarly, because my apps don't like this) I can force the use of census_sname_date and the query runs fine. Seems to me that when there's a constant value in the query and an = comparision it will always be faster to use the (b-tree) index that's ordered first by the constant value, as then all further blocks are guarenteed to have a higher relevant information density. At least when compared with another index that has the same columns in it. As you might imagine there are relatively few sname values and relatively many date values in my data. I use a query like the above in a trigger to enforce bounds limitations. I don't expect (want) to find any rows returned. I've figured out how to avoid executing this code very often, so this is not presently a serious problem for me. Karl <kop@meme.com> Free Software: "You don't pay back, you pay forward." -- Robert A. Heinlein
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