-### `class YourWorker extends ThreadWorker/ClusterWorker`
-
-`fn` (mandatory) The function that you want to execute on the worker
-`opts` (optional) An object with these properties:
-
-- `maxInactiveTime` - Max time to wait tasks to work on (in ms), after this period the new worker will die.
- The last active time of your worker unit will be updated when a task is submitted to a worker or when a worker terminate a task.
- If `killBehavior` is set to `KillBehaviors.HARD` this value represents also the timeout for the tasks that you submit to the pool, when this timeout expires your tasks is interrupted and the worker is killed if is not part of the minimum size of the pool.
- If `killBehavior` is set to `KillBehaviors.SOFT` your tasks have no timeout and your workers will not be terminated until your task is completed.
- Default: 60.000 ms
-
-- `async` - true/false, true if your function contains async pieces else false
-- `killBehavior` - Dictates if your async unit (worker/process) will be deleted in case that a task is active on it.
- **SOFT**: If `currentTime - lastActiveTime` is greater than `maxInactiveTime` but a task is still running, then the worker **won't** be deleted.
- **HARD**: If `lastActiveTime` is greater than `maxInactiveTime` but a task is still running, then the worker will be deleted.
- This option only apply to the newly created workers.
- Default: `SOFT`
-
-## Choose your pool
-
-Performance is one of the main target of these worker pool implementations, we want to have a strong focus on this.
-We already have a bench folder where you can find some comparisons.
-To choose your pool consider that with a FixedThreadPool/FixedClusterPool or a DynamicThreadPool/DynamicClusterPool (in this case is important the min parameter passed to the constructor) your application memory footprint will increase.
-Increasing the memory footprint, your application will be ready to accept more CPU bound tasks, but during idle time your application will consume more memory.
-One good choose from my point of view is to profile your application using Fixed/Dynamic worker pool, and to see your application metrics when you increase/decrease the num of workers.
-For example you could keep the memory footprint low choosing a DynamicThreadPool/DynamicClusterPool with 5 workers, and allow to create new workers until 50/100 when needed, this is the advantage to use the DynamicThreadPool/DynamicClusterPool.
-But in general, **always profile your application**