I have a query as part of my process, that I execute hundreds of times in a loop.
Initially, Table A contains all records (20mil). Table B contains 0 records. Primary key in both tables ID the I execute:
select * from table A where a.ID not in (select ID from table b) limit 10000 ##magic stuff in python insert everything to table B, once again, .
Initially, the query runs super fast, but after Nth loop (100th+), size of table B increases, to the point where I it takes a bit of time to perform the NOT IN operation.
Does anyone have recommendations on how I can speed up the query? - So far, I've tweaked the default mysql bugger to be 1.5gbs (ids are pretty small INTs, so that should be enough).
1) One way to do this would be to remove * from table A after I've processed them. However, I want to keep table A in tact.
... only method I could think of I adding another column to table A (which I'd index) called 'PROCESSED'... then update that column with a second query once the records have been processed/posted, but I was hoping there was an easier solution.
Thank you all in advance.