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Re: Tuning queries on large database: msg#00047db.postgresql.performance
> sort_mem = 50000 That is way, way too large. Try more like 5000 or lower. > num_poste | numeric(9,0) | not null For starters numerics are really, really slow compared to integers. Why aren't you using an integer for this field since youhave '0' decimal places. > schema | relfilenode | table | index | reltuples | size > --------+-------------+------------------+------------+-------------+---------- > public | 125615917 | data | | 1.25113e+08 | 72312040 > public | 251139049 | data | i_data_dat | 1.25113e+08 | 2744400 > public | 250870177 | data | pk_data | 1.25113e+08 | 4395480 > > My first remark is that the table takes a lot of place on disk, about > 70 Gb, instead of 35 Gb with oracle. Integers will take a lot less space than numerics. > The different queries of the bench are "simple" queries (no join, > sub-query, ...) and are using indexes (I "explained" each one to > be sure) : > Q1 select_court : access to about 700 rows : 1 "num_poste" and 1 month > (using PK : num_poste=p1 and dat between p2 and p3) > Q2 select_moy : access to about 7000 rows : 10 "num_poste" and 1 month > (using PK : num_poste between p1 and p1+10 and dat between p2 and p3) > Q3 select_long : about 250 000 rows : 2 "num_poste" > (using PK : num_poste in (p1,p1+2)) > Q4 select_tres_long : about 3 millions rows : 25 "num_poste" > (using PK : num_poste between p1 and p1 + 25) > > The result is that for "short queries" (Q1 and Q2) it runs in a few > seconds on both Oracle and PG. The difference becomes important with > Q3 : 8 seconds with oracle > 80 sec with PG > and too much with Q4 : 28s with oracle > 17m20s with PG ! > > Of course when I run 100 or 1000 parallel queries such as Q3 or Q4, > it becomes a disaster ! Please reply with the EXPLAIN ANALYZE output of these queries so we can have some idea of how to help you. Chris ---------------------------(end of broadcast)--------------------------- TIP 4: Don't 'kill -9' the postmaster
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