Phil, Yes its complicated. Yes its doable! But if you want performance its going to be a bit complicated.
Sqlite does not allow concurrent read/write even from multiple threads! Step back a bit, I've answered the question: yes you may disable journalling. But the real problem your having is concurrency and performance. Disabling journalling will get you into big trouble! So that really isn't an option, forget about that!!! So the only thing left is the performacnce... Try my suggestion, you might be surprised in that it doesn't take that much more time to write 10 records vs one! Another solution to the issue might be a condition variable that you could kick from the reader thread! Thus if a reader really needs to read, the blocking write thread could catch the cv/mutex and wake up, commit allowing the reader to sleep. Now that you've opened the threading can of worms take a look an the "shared cache" feature! This might be very helpful to you. I think there was some mention of reading dirty pages?? This might be just the ticket for your app!! Phil Sherrod <[EMAIL PROTECTED]> wrote: Holding commits with a timeout is a feasible solution. However, in my application it is somewhat complex to implement. Multiple threads are accessing the database, and read requests usually run in a different thread than writes. I don't want reads to be blocked while a commit timeout waits, so a read would have to force a commit. I don't think one thread can commit transactions for another thread, so I would have to set up an inter-thread queueing system to allow readers to notify writers in different threads that commits need to be done. Since commits are done in multiple places, this approach will get messy fast. I think removing the FlushFileBuffers call (which is normally done on every commit) is the best solution. It is not as fast as totally turning off journaling, but it allows my program to run 20 times faster without the complexity of trying to hold commitments. Also, journaling _is_ being done (just not forced to the disk). So if my application crashes but Windows continues to run, the journaling will eventually get flushed from Windows cache to disk, and it should be available for a rollback. If I can figure out how to totally turn off journaling, I will do some timing tests to see how much that speeds things up. It certainly won't be a factor of 20, but a factor of 2 is possible. A new pragma "journaling=[off|on]" would be nice. Key wrote: Removing the journalling will certainly cause you lots of grief in the event of a "crash"... You could do the following, The write code (inserts) will queue incoming data into an "array/storage in memory etc..." When the first row is captured set a timer. When either the timer expires or you reach a row limit threshold, write the data to sqlite in a batched transaction. This way you get good performance and reliablity! But if you code crashes and you don't keep persistent what was in memory you'll loose that data. You'll probably need to do some tuning of the timer/row limits to get a balance between performance and potential data loss. _______________________________________________ sqlite-users mailing list sqlite-users@sqlite.org http://sqlite.org:8080/cgi-bin/mailman/listinfo/sqlite-users _______________________________________________ sqlite-users mailing list sqlite-users@sqlite.org http://sqlite.org:8080/cgi-bin/mailman/listinfo/sqlite-users