![]() | |
![]() |
| | Thread Tools | Display Modes |
#1
| |||
| |||
|
#2
| |||
| |||
|
|
Hello, I found situtation that, when I am selecting data from a table of 200 records, getting slower as I do continous update to the same existing data. |
#3
| |||
| |||
|
|
This does not belong on the pgsql-bugs list. The pgsql-novice or pgsql-performance lists seem more appropiate. I have set followups to the pgsql-novice list. On Thu, Jun 02, 2005 at 12:05:00 +0100, Bahadur Singh <bahadursingh (AT) yahoo (DOT) com> wrote: Hello, I found situtation that, when I am selecting data from a table of 200 records, getting slower as I do continous update to the same existing data. You need to be vacuuming (and possibly analyzing) the table more often as the updates will leave dead rows in the table which will bloat the table size and slow down access, particularly sequential scans. If the updates modify the data value distributions significantly, then you will also need to reanalyze the table to help the planner make good decisions. |
#4
| |||
| |||
|
|
Many thanks for this tip ! But is this good idea to analyse/vacuuming the database tables while updates are taking place.. Since, I update continuously say (100,000 ) times or more the same data set. This is the result of analyze command. INFO: analyzing "public.salesarticle" INFO: "salesarticle": scanned 3000 of 20850 pages, containing 62 live rows and 134938 dead rows; 62 rows in sample, 431 estimated total rows Gesamtlaufzeit der Abfrage: 5531 ms. Total Time Taken : 5531 ms. Can you suggest me some clever way to so, because I would prefer to do vaccumming while database is not loaded with queries/transactions. |
![]() |
| Thread Tools | |
| Display Modes | |
| |