query optimisation
От | Abdul-wahid Paterson |
---|---|
Тема | query optimisation |
Дата | |
Msg-id | 1047690549.31880.5002.camel@yusuf.lintrix.net обсуждение исходный текст |
Ответы |
Re: query optimisation
Re: query optimisation |
Список | pgsql-general |
Hi, I have a query of the form: select a.id, e.id from tablea a, tableb b, tablec c, tabled d, tablee e where a.fk=b.id and b.fk=c.id and c.fk=d.id and d.fk=e.id; In fact, my statement is a bit more complex as it is joined across 7 tables, has an aggregate function and a CASE statement. My problem is that it executes to slow and I need to optimise it. Is there any documentation anywhere that can help me work out how to optimise the statement? My statement has a few other conditions that need to be met on the joining tables. Does changing the order of the conditional statement affect the way the statement is optimised? I am actually adopting someone else's work. In their code I found about 7-8 different SQL statements wrapped up in a couple of pages of programming code that were used to get the desired result. The code seemed to me long and convoluted and I was sure that it could be whittled down to one SQL statement. However, it now take longer to run as one SQL statement than it did when the external program was doing the sorting and merging of data. Surely it should be the case, that in the worst case, Postgres should still be more efficient then letting an external program do the work? Are there occasions when it is better to do the calculations outside of Postgres? Thanks for any help. Abdul-Wahid
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