Is there a way to optimize this further or should I just be satisfied that it takes 9 seconds to count 11M rows ?
devuser@xcmst > mysql --user=user --pass
It depends on a few things but something like this may work for you
im assuming this count never changes as it is in the past so the result can be cached somehow
count1 = "select count(*) from record_updates where date_updated <= '2009-10-11 15:33:22'"
gives you the total count of records in the table, this is an approximate value in innodb table so BEWARE, depends on engine
count2 = "select table_rows from information_schema.`TABLES` where table_schema = 'marctoxctransformation' and TABLE_NAME = 'record_updates'"
your answer
result = count2 - count1