Re: [PERFORM] autovacuum blocks the operations of other manual vacuum

2010-11-22 Thread kuopo
Thanks for your information. I am using postgresql 8.4 and this version should have already supported HOT. The frequently updated columns are not indexed columns. So, the frequent updates should not create many dead records. I also did a small test. If I don't execute vacuum, the number of pages of

Re: [PERFORM] autovacuum blocks the operations of other manual vacuum

2010-11-22 Thread kuopo
In my experiment, I need about 1~3 min to finish the analyze operation on the big table (which depends on the value of vacuum_cost_delay). I am not surprised because this table is a really big one (now, it has over 200M records). However, the most of my concerns is the behavior of analyze/vacuum.

Re: [PERFORM] autovacuum blocks the operations of other manual vacuum

2010-11-18 Thread kuopo
Hi, Thanks for your response. I've checked it again and found that the main cause is the execution of ANALYZE. As I have mentioned, I have two tables: table A is a big one (around 10M~100M records) for log data and table B is a small one (around 1k records) for keeping some current status. There a

[PERFORM] autovacuum blocks the operations of other manual vacuum

2010-11-12 Thread kuopo
Hi, I have a question about the behavior of autovacuum. When I have a big table A which is being processed by autovacuum, I also manually use (full) vacuum to clean another table B. Then I found that I always got something like “found 0 removable, 14283 nonremovable row”. However, if I stop the au

Re: [PERFORM] how to handle a big table for data log

2010-07-27 Thread kuopo
ormance (especially for the insert part). kuopo. On Mon, Jul 19, 2010 at 11:37 PM, Jorge Montero < jorge_mont...@homedecorators.com> wrote: > Large tables, by themselves, are not necessarily a problem. The problem is > what you might be trying to do with them. Depending on th

[PERFORM] how to handle a big table for data log

2010-07-19 Thread kuopo
? Thanks in advance. kuopo. -- Sent via pgsql-performance mailing list (pgsql-performance@postgresql.org) To make changes to your subscription: http://www.postgresql.org/mailpref/pgsql-performance