Florian Schröck <fschroeck@aycan.de> wrote:
> UPDATE BackupFiles
> SET nTapeNr=0, nAFIOCounter=0, nBlockCounter=0,
> cStatus='NEW'::StatusT, bOnSetBlue=false,
> bOnSetYellow=false, nLastBackupTS= '0001-01-01 00:00:00'
> WHERE cStatus='NEW' OR cStatus='WRITING' OR cStatus='ONTAPE';
>
> Explain analyze: http://explain.depesz.com/s/8y5
> The statement takes 60-90 minutes.
The EXPLAIN ANALYZE at that URL shows a runtime of 3 minutes and 41
seconds.
> I tried to optimize the settings but until now without success.
>
> Can we optimize this update statement somehow? Do you have any
> other ideas?
Are there any rows which would already have the values that you are
setting? If so, it would be faster to skip those by using this
query:
UPDATE BackupFiles
SET nTapeNr=0, nAFIOCounter=0, nBlockCounter=0,
cStatus='NEW'::StatusT, bOnSetBlue=false,
bOnSetYellow=false, nLastBackupTS= '0001-01-01 00:00:00'
WHERE (cStatus='NEW' OR cStatus='WRITING' OR cStatus='ONTAPE')
AND (nTapeNr <> 0 OR nAFIOCounter <> 0 OR nBlockCounter <> 0
OR cStatus <> 'NEW'::StatusT
OR bOnSetBlue IS DISTINCT FROM false
OR bOnSetYellow IS DISTINCT FROM false
OR nLastBackupTS <> '0001-01-01 00:00:00');
Another way to accomplish this is with the
suppress_redundant_updates_trigger() trigger function:
http://www.postgresql.org/docs/9.2/interactive/functions-trigger.html
--
Kevin Grittner
EnterpriseDB: http://www.enterprisedb.com
The Enterprise PostgreSQL Company