Tim Legant <[EMAIL PROTECTED]> writes: > I have a hard time with this assertion. I find it difficult to > believe that reading a 3K or 4K file from a local disk is slower > than reading the exact same data from a database, given the protocol > overhead and the possibility of going over a wire.
Let's distingiush between reading the data and matching an address though. Not taking TMDA wildcards into consideration, what if the "whitelist" in the DB contains 100K e-mail addresses. That is going to be extremely slow to search in TMDA, but probably much faster to do the search in the database, no? If this is the case, would it be possible to only pull the list into Python for matching if it contains wildcards? Perhaps a '-wildcards' option or something could be added to from/to-sql. Just some thoughts. _________________________________________________ tmda-workers mailing list ([EMAIL PROTECTED]) http://tmda.net/lists/listinfo/tmda-workers
