I suspect you will get much faster results if you update just one table with all three pieces of data in it. Also, as others have said, make sure you have an index on whatever you use in your WHERE clause for the UPDATE. And, if your count_cross column is the sum of count_in and count_out, just leave it out and calculate it when you need it; this will help (at least a little) if reads are much less frequent than writes.
in reply to Re^6: Multiple write locking for BerkeleyDB
in thread Multiple write locking for BerkeleyDB
In my tests elsewhere in this thread, I was able to get about 132K updates/min out of MySQL on a 2-CPU 1GHz Pentium III, so unless your machine is much slower there is probably some performance to be found somewhere.