It seems there is a limit on the number of jobs that Quartz scheduler can run per second. In our scenario we are having about 20 jobs per second firing up for 24x7 and quartz worked well upto 10 jobs per second (with 100 quartz threads and 100 database connection pool size for a JDBC backed JobStore), however, when we increased it to 20 jobs per second, quartz became very very slow and its triggered jobs are very late compared to their actual scheduled time causing many many Misfires and eventually slowing down the overall performance of the system significantly. One interesting fact is that `JobExecutionContext.getScheduledFireTime().getTime()` for such delayed triggers comes to be 10-20 and even more minutes after their schedule time.

How many jobs the quartz scheduler can run per second without affecting the scheduled time of the jobs and what should be the optimum number of quartz threads for such load?

Or am I missing something here?

### Details about what we want to achieve:

We have almost 10k items (categorized among 2 or more categories, in current case we have 2 categories) on which we need to some processing at given frequency e.g. 15,30,60... minutes and these items should be processed within that frequency with a given throttle per minute. e.g. lets say for 60 minutes frequency 5k items for each category should be processed with a throttle of 500 items per minute. So, ideally these items should be processed within first 10 (5000/500) minutes of each hour of the day with each minute having 500 items to be processed which are distributed evenly across the each second of the minute so we would have around 8-9 items per second for one category.

Now for to achieve this we have used Quartz as scheduler which triggers jobs for processing these items. However, we don't process each item with in the Job.execute method because it would take 5-50 seconds (averaging to 30 seconds) per item processing which involves webservice call. We rather push a message for each item processing on **JMS** queue and separate server machines process those jobs. I have noticed the time being taken by the Job.execute method not to be more than **30 milliseconds**.

### Server Details:

Solaris Sparc 64 Bit server with 8/16 cores/threads cpu for scheduler with 16GB RAM and we have two such machines in the scheduler cluster.