Re: [ADMIN] Database size growing over time and leads to performance impact

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От Tomeh, Husam
Тема Re: [ADMIN] Database size growing over time and leads to performance impact
Дата
Msg-id 106c901cacdb4$1156ad15$1a1ca8c0@ana.firstamdata.com
обсуждение исходный текст
Список pgsql-performance
You may want to consider performing more frequent vacuums a week or really considering leveraging autovacuum if it
makessense to your transactions volume.   

Regards,
      Husam

-----Original Message-----
From: Gnanakumar <gnanam@zoniac.com>
Sent: Saturday, March 27, 2010 6:06 AM
To: pgsql-admin@postgresql.org <pgsql-admin@postgresql.org>; pgsql-performance@postgresql.org
<pgsql-performance@postgresql.org>
Subject: [ADMIN] Database size growing over time and leads to performance impact

Hi,



We're using PostgreSQL 8.2.  Recently, in our production database, there was
a severe performance impact..  Even though, we're regularly doing both:

1.     VACUUM FULL ANALYZE once in a week during low-usage time and

2.     ANALYZE everyday at low-usage time



Also, we noticed that the physical database size has grown upto 30 GB.  But,
if I dump the database in the form of SQL and import it locally in my
machine, it was only 3.2 GB.  Then while searching in Google to optimize
database size, I found the following useful link:



http://www.linuxinsight.com/optimize_postgresql_database_size.html



It says that even vacuumdb or reindexdb doesn't really compact database
size, only dump/restore does because of MVCC architecture feature in
PostgreSQL and this has been proven here.



So, finally we decided to took our production database offline and performed
dump/restore.  After this, the physical database size has also reduced from
30 GB to 3.5 GB and the performance was also very good than it was before.



Physical database size was found using the following command:

du -sh /usr/local/pgsql/data/base/<database-oid>



I also cross-checked this size using
"pg_size_pretty(pg_database_size(datname))".



Questions

1.     Is there any version/update of PostgreSQL addressing this issue?

2.     How in real time, this issues are handled by other PostgreSQL users
without taking to downtime?

3.     Any ideas or links whether this is addressed in upcoming PostgreSQL
version 9.0 release?



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