use a stored proc, and commit at regular interval say, for every 1k rows.
This would be faster and if ur using slave, they will also commit at regular
interval and be in sync.
On Sat, Apr 10, 2010 at 6:12 AM, Mitchell Maltenfort <mmalten@stripped>wrote:
> I have two tables, A and B. B has newer data, A has more columns.
> I want to update some of the columns in A with all but one of the
> columns in B. They have the same number of records -- about eight
> million -- and one key column in common for matching. (That's the one
> from B I don't want to update)
> I get the idea that using UPDATE...WHERE is not my fastest option.
> Can anyone suggest an alternative?
> Not sure about LOAD INFILE and REPLACE because they seem to cover entire
> Thanks in advance.
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