On Friday, December 22, 2017, 6:59:43 PM GMT+1, Timokhin Maxim <ncx2@yandex.com> wrote:
Hello! We have a large table 11GB ( about 37 million records ) and we need to alter a table - add a new column with default values is false. Also 'NOT NULL' is required.
So, first I've done:
ALTER TABLE clusters ALTER COLUMN "is_paid";
after that:
UPDATE clusters SET is_paid = DEFAULT where ctime <= now() - interval '720h' AND is_paid != FALSE;
Everything went ok. Then I tried to run it again for an interval of 1 years. And I got that no one can't see - the was no available space on a disk. The reason was WAL-files ate everything.
Master-server couldn't send some WAL-file to their replicas. Bandwidth wasn't enough.
Well, I'm searching for a better idea to update the table.
Solutions I found.
1. Separate my UPDATE by chunks.
2. Alter a table using a new temporary table, but it's not convenient for me because there is a lot of foreign keys and indexes.
3. Hot-update. This is the most interesting case for me.
The article says: it might be useful for tables that change often and moreover It would be the best way to increase the speed of UPDATE.
Why do I need to launch vacuum after updating?
How should I reduce the better fillfactor?
What will be with WAL-files it this case?
Thank you!
PostgreSQL 9.6
--
Timokhin 'maf' Maxim
