There is a pgsql-performance list, which was created for questions like yours. Your problem was brought up many times before, so searching the archives is an alternative.
Regards, Christoph > > Hi Everyone, > > This is my first post here so please tell me to go somewhere else if this > is the wrong place to post questions like this. > > I am using PostgreSQL 7.3.2 and have used earlier versions (7.1.x onwards) > and with all of them I noticed same problem with INSERTs when there is a > large data set. Just to so you guys can compare time it takes to insert > one row into a table when there are only few rows present and when there > are thousands: > > Rows Present Start Time Finish Time > ------------------------------------------------------------ > 100 1068790804.12 1068790804.12 > 1000 1068790807.87 1068790807.87 > 5000 1068790839.26 1068790839.27 > 10000 1068790909.24 1068790909.26 > 20000 1068791172.82 1068791172.85 > 30000 1068791664.06 1068791664.09 > 40000 1068792369.94 1068792370.0 > 50000 1068793317.53 1068793317.6 > 60000 1068794369.38 1068794369.47 > > As you can see if takes awfully lots of time for me just to have those > values inserted. Now to make a picture a bit clearer for you this table > has lots of information in there, about 25 columns. Also there are few > indexes that I created so that the process of selecting values from there > is faster which by the way works fine. Selecting anything takes under 5 > seconds. > > Any help would be greatly appreciated even pointing me in the right > direction where to ask this question. By the way I designed the database > this way as my application that uses PGSQL a lot during the execution so > there was a huge need for fast SELECTs. Our experiments are getting larger > and larger every day so fast inserts would be good as well. > > Just to note those times above are of INSERTs only. Nothing else done that > would be included in those times. Machine was also free and that was the > only process running all the time and the machine was Intel(R) Pentium(R) > 4 CPU 2.40GHz. > > Regards, > Slavisa > ---------------------------(end of broadcast)--------------------------- TIP 8: explain analyze is your friend
