Good afternoon,
I am attempting an update on two new date field columns on a 17 million row table. Every row gets updated.
The update statement is a simple one:
UPDATE EMAILRCPTS SET ID = ID
And the update of the new date fields themselves occurs as the result of a before trigger.
The update took 3 days, 10 hours to complete on the testing box. I have already adjusted the CHECKPOINT_SEGMENTS parameter up by 3X
To minimize the impact of checkpoints. The SHARED_BUFFERS parameter has been bumped up to 140000 on a 20meg RAM box.
There are about 9 indexes on this table although none of them reference the date fields so since there are no inserts I don’t think they would have an impact on the update (I’ve been wrong before though)
Would an update statement referencing the date fields work faster than a trigger? Do you have any other suggestions to speed this up?
We simply cannot afford this table to be down for 3+ days during a production update. The production box is a 32meg RAM box.
We are at Postgres 7.4.5.
Thanks for your time and brainpower
Mark Steben
Senior Database Administrator
@utoRevenue™
A Dominion Enterprises Company
480 Pleasant Street
Suite B200
Lee, MA 01238
413-243-4800 Home Office
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