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Release note

ImprovementsTask queueing improvements

We have made the following changes to the task queueing process that should improve the queueing logic and contribute to faster completion of initialized tasks and analyses:

  • If you reach your parallel instance limit with running tasks, and there are both tasks and Data Cruncher analyses waiting in the queue, Data Cruncher analyses will be first to execute once instances become available.
  • If the parallel instance limit is reached with tasks that are being executed, when an instance becomes available it will first be allocated to running multi-instance or scattered tasks if they need additional instances. If there are no such tasks, the instance will be allocated to other task(s) that are next up in the queue. This will enable faster completion of multi-instance and scattered tasks and help avoid breaks in their execution.

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