On Fri, Jan 28, 2011 at 9:39 AM, Robert Schnabel <schnabelr@xxxxxxxxxxxx> wrote: > I can't do outside the database. So yes, once the upload is done I run > queries that update every row for certain columns, not every column. After > I'm done with a table I run a VACUUM ANALYZE. I'm really not worried about > what my table looks like on disk. I actually take other steps also to avoid > what you're talking about. It will still get bloated. If you update one column in one row in pg, you now have two copies of that row in the database. If you date 1 column in 1M rows, you now have 2M rows in the database (1M "dead" rows, 1M "live" rows). vacuum analyze will not get rid of them, but will free them up to be used in future updates / inserts. Vacuum full or cluster will free up the space, but will lock the table while it does so. There's nothing wrong with whole table updates as part of an import process, you just have to know to "clean up" after you're done, and regular vacuum can't fix this issue, only vacuum full or reindex or cluster. -- Sent via pgsql-performance mailing list (pgsql-performance@xxxxxxxxxxxxxx) To make changes to your subscription: http://www.postgresql.org/mailpref/pgsql-performance
