Setting custom RejectedExecutionHandler for ThreadPoolExecutor after executing some tasks?

Setting custom RejectedExecutionHandler for ThreadPoolExecutor after executing some tasks?

By : Xinyu Wang
Date : December 01 2020, 04:55 PM
hope this fix your issue The question should be "Should we handle the RejectedExecutionException?". The answer is of course yes. Not doing so will crash the thread in which it occurs i.e. the thread submitting the task for execution, and the application will continue running in an unknown state.
The second question is "What should we do to handle this exception?". We should probably stop the application as cleanly as possible. As this is true also for other runtime exceptions (and errors, by the way), one solution is to use an UncaughtExceptionHandler. But if we want to handle the RejectedExecutionException in a specific manner, we may use a RejectedExecutionHandler. This could be used to do some specific handling before stopping the application (either directly or by throwing a new RuntimeException that will be caught by the UncaughtExceptionHandler).
code :

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Insert into Database when all the tasks of ThreadPoolExecutor have finished executing there jobs

Insert into Database when all the tasks of ThreadPoolExecutor have finished executing there jobs

By : Antonio De Villar
Date : March 29 2020, 07:55 AM
it fixes the issue You basically have the answer already. Wait for executorService.awaitTermination to return, and the executor will have completed all it's tasks.
This ignores tasks that may have failed due to an error. Another way to do this, and to check for errors is to do something like,
code :
 List<Future> futures = ...
 for(...) {

 for(Future f : futures) {
       //this will throw an exception if an exception
       //occurred executing the task, insert error handling as 
       //appropriate, perhaps calling cancel on tasks that
       //have not yet completed
 //at this point all tasks have completed
Executing gradle build tasks in custom tasks

Executing gradle build tasks in custom tasks

By : Shaka Z.
Date : March 29 2020, 07:55 AM
it fixes the issue You can simply use 'finalizedBy' feature either by configure it inside 'release' task:
code :
task release
    finalizedBy clean, build

    // Do some stuff
release.finalizedBy clean, build
Testing RejectedExecutionHandler in ThreadPoolExecutor

Testing RejectedExecutionHandler in ThreadPoolExecutor

By : Oscar Ali Castillo B
Date : March 29 2020, 07:55 AM
it fixes the issue I would personally create a situation where my ExecutorService will always reject a task and check that this task has been called using a counter.
So for example my code could be something like that:
code :
// A single threaded executor service that cannot have more than 1 task in its task queue
// such that I know that if I provide at least 3 tasks, at least 1 task will be rejected. 
// Why 3? 1 task in the queue + 1 task executed by the thread of the pool 
// = max of tasks that the pool can manage at a given time, so if I add 1 it will be
// rejected.
ExecutorService executor = new ThreadPoolExecutor(
    1, 1, 0L, TimeUnit.MILLISECONDS, new LinkedBlockingQueue<>(1),
    Executors.defaultThreadFactory(), myHandler

// My Counter
AtomicInteger counter = new AtomicInteger();
// Some arbitrary task that lasts long enough to make sure that at least 3
// tasks will be submitted that will increment my counter once completed
Runnable task = () -> {
    try {
    } catch (InterruptedException e) {
    } finally {
try {
    // Submit 3 tasks
} finally {
    // Shutdown the pool and wait until all the submitted tasks have been executed
    executor.awaitTermination(1L, TimeUnit.MINUTES);
// Ensure that we have 3 tasks that have been executed
assertEquals(3, counter.get());
ThreadPoolExecutor not executing all tasks

ThreadPoolExecutor not executing all tasks

By : 3i0yvob75y
Date : March 29 2020, 07:55 AM
I hope this helps . Suppose that 100 thread cannot be processed as maxPoolSize=10 and queueSize = 10 which means you can put inside your pull executor in worst case only 20 Threads. The best case can changed depending on performance and complexity of job inside each Thread. Try to Increase your queueSize to 90. So For sure 90 of them will wait and other 10 will be kept to work. Best explenation you can find here link:
How to implement PriorityBlockingQueue with ThreadPoolExecutor and custom tasks

How to implement PriorityBlockingQueue with ThreadPoolExecutor and custom tasks

By : user3913753
Date : March 29 2020, 07:55 AM
I think the issue was by ths following , I've searched a lot but could not find a solutuion to my problem.
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