Using "load index" might help, but you'll have to make sure you allocate
plenty of space to your keycache. If the queries are identical, the query
cache might also be a good candidate, but that seems unlikely.
The memory will also be used by your OS to cache often-used parts of the
filesystem, including the data- and index files. This will also help.
Consider using compressed (archive) tables, as they require less disk I/O
for a given amount of data to be retrieved. Consider additional indexes,
maybe even clustered indexes if the dataset you need is very close to what
you use in the where-clause.
On Fri, Feb 5, 2010 at 3:26 PM, Ken D'Ambrosio <ken@stripped> wrote:
> I've got a fairly large -- 100+ GB -- MySQL database. It isn't accessed
> often -- it's acting more as an archive right now than anything else.
> That being said, when it does get accessed, the indeces seem to take
> forever to load. Being as I just bumped the RAM from 2 GB to 6 GB, what,
> generically, would be the best way to go forward to take advantage of the
> extra RAM?
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