From: | Pallav Kalva <pkalva(at)livedatagroup(dot)com> |
---|---|
To: | pgsql-performance(at)postgresql(dot)org |
Subject: | Vacuum template databases, Urgent: Production problem |
Date: | 2006-03-14 16:44:12 |
Message-ID: | 4416F2DC.4010400@livedatagroup.com |
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Lists: | pgsql-performance |
Hi,
Do we have to vacuum template0 database regularly ? We got this warning this morning while vacuuming databases. As a part of my daily vacuum job I do vacuum of quartz, helix_fdc and affiliate databases which are the
one's which are heavily updated and used. But today I realized that usps, template1 and template0 is also being used in a transaction somehow based on this (SELECT datname, age(datfrozenxid) FROM pg_database;) query.
Actually we dont do any updates on usps , template1 and templat0 databases but some how still the age(datfrozenxid keeps incrementing.
My question now is do I have to vacuum daily template1 and template0 databse, is there any harm on vacuuming these databases daily ?, since these are postgres system tables I am kind of worried.
I was told that template0 is freezed but not sure why the age(datfrozenxid keeps incrementing.
I am going to vacuum usps from now anyway. We are using Postgres version 8.0.2
If some one can please help me on this it would be really great, this is a production database and we cant afford to loose anything.
Thanks!
Pallav.
Message from the log
---------------------
WARNING: some databases have not been vacuumed in 1618393379 transactions
HINT: Better vacuum them within 529090268 transactions, or you may have a wraparound failure.
SELECT datname, age(datfrozenxid) FROM pg_database;
datname | age
-----------+------------
quartz | 1076729648
helix_fdc | 1078452246
usps | 1621381218
affiliate | 1078561327
template1 | 1621381218
template0 | 1621381218
(6 rows)
SELECT datname, age(datfrozenxid) FROM pg_database;
datname | age
-----------+------------
quartz | 1076770467
helix_fdc | 1078493065
usps | 1621422037
affiliate | 1078602146
template1 | 1621422037
template0 | 1621422037
(6 rows)
I ran this just 2 minutes apart and you can see the age value changes for
template0 and template1
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