On Mon, 2007-09-10 at 17:06 -0700, Jason L. Buberel wrote:
> When loading very large data exports (> 1 million records) I have
> found it necessary to use the following sequence to achieve even
> reasonable import performance:
>
> 1. Drop all indices on the recipient table
> 2. Use "copy recipient_table from '/tmp/input.file';"
> 3. Recreate all indices on the recipient table
>
> However, I now have tables so large that even the 'recreate all
> indices' step is taking too long (15-20 minutes on 8.2.4).
>
> I am considering moving to date-based partitioned tables (each table =
> one month-year of data, for example). Before I go that far - is there
> any other tricks I can or should be using to speed up my bulk data
> loading?
If you create the indexes with CONCURRENTLY, then you can write to the
tables while the indexes are being created. That might help reduce your
downtime window.
Regards,
Jeff Davis
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