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> Take a really different approach. Log in CSV format to text files
> instead, And only import the date ranges we need "on demand" if a report
> is requested on the data.
Seems like more work than a separate database to me. :)
> 2. We could find a way to exclude the table for vacuuming, and let it
> grow even larger. Putting the table in it's own database would
> accomplish that, but it would nice to avoid the overhead of a second
> database connection.
Specific exclusions is generally what I've done for similar problems in
the past. If you can live without the per-database summary at the end of
the vacuum, you can do something like this:
SET search_path = 'pg_catalog';
SELECT set_config('search_path',
current_setting('search_path')||','||quote_ident(nspname),'false')
FROM pg_namespace
WHERE nspname <> 'pg_catalog'
ORDER BY 1;
\t
\o pop
SELECT 'vacuum verbose analyze '||quote_ident(relname)||';'
FROM pg_class
WHERE relkind = 'r'
AND relname <> 'ginormous_table'
ORDER BY 1;
\o
\i pop
Or put any tables you don't want vacuumed by this script into their own schema:
...
SELECT 'vacuum verbose analyze '||quote_ident(relname)||';'
FROM pg_class c, pg_namespace n
WHERE relkind = 'r'
AND relnamespace = n.oid
AND nspname = 'novac'
ORDER BY 1;
...
Just flip the equality operator, and you've got a way to vacuum just those
excluded tables, for example once a week during a slow time.
- --
Greg Sabino Mullane greg@turnstep.com
End Point Corporation
PGP Key: 0x14964AC8 200702211402
http://biglumber.com/x/web?pk=2529DF6AB8F79407E94445B4BC9B906714964AC8
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