There is a memory leak in "indexedJobsByName" map which holds the submitted jobs in the scheduler, it holds the jobs instance and causes a out of memory based on heap size configurations and #of jobs submitted to the scheduler.
This issue should be fixed as those who initializes the scheduler once and submits the job with lambda directly, the map entries does not get cleared.
