Say I have a method getCloseableResource() which might take an unbounded amount of time to complete and returns something that needs to be closed or cleaned up.
I want to submit a task to an executorService to get the closeable resource but only wait a limited amount of time.
Future<CloseableResource> crFuture = executorService.submit(() -> getCloseableResource());
CloseableResource cr = crFuture.get(TIMEOUT, TimeUnit.MILLISECONDS);
catch (TimeoutException e) {
// abandon the attempt
}
The problem is that if I abandon waiting, I'll never be able to close the resource since I won't have a handle to it and the resource will never get cleaned up properly.
Is there some mechanism to specify cleanup code to execute when getCloseableResource returns so that I can abandon waiting for it AND make sure it is disposed of cleanly? Or maybe there is a more advance construct rather than an executor service.
I think one solution is to submit a task that has some state that keeps track of whether the request was abandoned. When the resource is retrieved the executor thread can check if the main thread had abandoned it and if so, close the resource. In the main thread, if the the timeout occurs and you want to abandon the resource, just set the abandoned flag. All of this would need to be written in a thread safe way of course.
You can submit another task in the timeout case that closes the resource once it has been allocated:
Future<Closeable> crFuture = executorService.submit(this::getCloseableResource);
try {
Closeable cr = crFuture.get(TIMEOUT, TimeUnit.MILLISECONDS);
// ...
} catch (TimeoutException e) {
executorService.submit(() -> {
try {
crFuture.get().close();
} catch (IOException | InterruptedException | ExecutionException ex) {
// ...
}
});
}
Related
The service I'm working on uses a Future to run multiple tasks in parallel; each task can take up to a minute to complete. However, it seems the external lib is buggy, since in some occasions (2% of the time) it doesn't return. In those cases I would like to give a 2-minute wait time, and if it hasn't returned, I would like to kill the future and re-schedule again later (it will succeed eventually).
How do I kill the Future?
private void run() {
ExecutorService queue = Executors.newFixedThreadPool(1);
Future<Integer> f = queue.submit(new MyTask());
Thread.sleep(500);
try {
Integer r = f.get(120, TimeUnit.SECONDS);
} catch (InterruptedException | ExecutionException | TimeoutException e) {
e.printStackTrace();
f.cancel(true);
}
// Bad future still running here and I need it dead.
}
private class MyTask implements Callable<Integer> {
private ExternalLibrary extlib = new ExternalLibrary();
#Override
public Integer call() throws Exception {
// step 1 - do a few things
// step 2 - process data
Integer val = this.extlib.doSomething(); // here's the problem!
// step 3 - do other things
return val;
}
}
I can see the external lib running and consuming CPU (for 24 hours)... doing nothing. It's a simple task that should never take more than 60 seconds to complete its work.
So far, I'm killing the whole JVM once a day to get rid of this issue, but I'm sure there must be a better way. I wonder how app servers (Tomcat, JBoss, Weblogic, etc.) do it with rogue processes.
Even if you could kill the future hanging in the buggy library, this does likely not solve your problem. The library might still have acquired some resource which will not be properly clean up. This might be memory allocations, open file handles or even monitors leaving some internal data structures in an inconsistent state. Eventually you will likely be back at the point where you have to restart your JVM.
There's basically two options: Fix or isolate it.
Fix: try to get the library fixed. If this is not possible,
isolate: isolate the library into a external service your application depends on. E.g. implement a REST API for calling the library and wrap everything up into a Docker image. Automate restarting of the Docker container as needed.
As others have mentioned, stopping a Future is cooperative, meaning, the thread running async must respond to cancellation from the waiting thread. If the async task isn't cooperative simply invoking shutdown or shutdownNow won't be enough as the underlying TPE will just interrupt the threads.
If you have no control over extlib, and extlib is not cooperative, I see two options
You can stop the thread currently running. This can cause issues if the thread being stopped currently is holding a lock or some other resource. It can lead to interesting bugs that could be hard to dissect.
This could take some more work, but you could run the async task as a separate process entirely. The TPE can still run the process and, on interruption, can destroy the process. This obviously has more interesting issues like how to load the process with required input.
If I understand your requirement correctly & based on your requirement (i.e. 1 thread), you can look for shutting down executorservice in 2 phases, code is available in java doc of executorservice:
try {
Integer r = f.get(120, TimeUnit.SECONDS);
} catch (InterruptedException | ExecutionException | TimeoutException e) {
e.printStackTrace();
//f.cancel(true); you can omit this call if you wish.
shutdownAndAwaitTermination(queue);
} ... //remaining method code
void shutdownAndAwaitTermination(ExecutorService pool) {
pool.shutdown(); // Disable new tasks from being submitted
try {
// Wait a while for existing tasks to terminate
if (!pool.awaitTermination(60, TimeUnit.SECONDS)) {
pool.shutdownNow(); // Cancel currently executing tasks
// Wait a while for tasks to respond to being cancelled
if (!pool.awaitTermination(60, TimeUnit.SECONDS))
System.err.println("Pool did not terminate");
}
} catch (InterruptedException ie) {
// (Re-)Cancel if current thread also interrupted
pool.shutdownNow();
// Preserve interrupt status
Thread.currentThread().interrupt();
}
}
Please read documentation about shutdown() , shutdownNow() how they behaves because it clearly mentions there is no 100% guarantee that tasks / executorservice will get stopped if its running.
Unfortunately if the external library is not co-operating to thread interrupts, there is nothing you can do to kill the Thread running the task managed by the ExecutorService.
An alternative that I can think of is to run the offending code as a separate process. Using ProcessBuilder and Process, your task can effectively control (or) even kill the offending process after a timeout (https://docs.oracle.com/javase/9/docs/api/java/lang/Process.html#destroyForcibly--).
Also see https://docs.oracle.com/javase/9/docs/api/java/lang/ProcessBuilder.html
#joe That is correct. Unless you have control over the thread and inside the thread you can't kill it.
this.extlib.doSomething();
if this line starts a thread then we need to get hold of that thread to kill it as we don't have reference to stop it.
In your code, the call:
this.extlib.doSomething()
must be synchronous, because if it is not, the code lost sense. With that assumption, you can try:
ExecutorService executor = Executors.newSingleThreadExecutor();
Future<Integer> future = executor.submit(new MyTask());
try {
future.get(120, TimeUnit.SECONDS);
} catch (InterruptedException | ExecutionException e) {
e.printStackTrace();
} catch (TimeoutException e) {
future.cancel(true);
} finally {
executor.shutdownNow();
}
If this doesn't stop the doSomethig work is because this doSomething function is opening other threads to do the work. In that case, maybe you can check the threads that are running with:
Thread.getAllStackTraces()
And try to kill the right one...
inside a Spring web application I have a scheduled task that is called every five minutes.
#Scheduled(fixedDelay = 300000)
public void importDataTask()
{
importData(); //db calls, file manipulations, etc..
}
Usually the task runs smoothly for days, but sometimes happens that the example method importaData()will not terminate, so importDataTask()will not be called again and everything will be blocked until I restart the application.
The question is: is there a feasibile method to be sure that a method will not be indefinitely blocked (waybe waiting for a resource, or something else)?
The question is: is there a feasibile method to be sure that a method
will not be indefinitely blocked (waybe waiting for a resource, or
something else)?
If the scheduling cannot be planned at a precise regular interval, you should maybe not use a fixed delay but use two conditions : delay + last execution done.
You could schedule a task which checks if the two conditions are met and if it the case, you run the important processing. Otherwise, it waits for the next schedule.
In this way, you should not be blocked. You could wait for some time if the task exceeds the fixed delay. If it is a problem because the fixed delay is often exceeded, you should probably not use a fixed delay or so you should increase sensitively it in order that it is less common.
Here an example (writing without editor. Sorry if any mistake) :
private boolean isLastImportDataTaskFinished;
#Scheduled(fixedDelay = 300000)
public void importDataTaskManager(){
if (isLastImportDataTaskFinished()){
new Thread(new ImportantDataProcessing())).start();
}
else{
// log the problem if you want
}
}
private isLastImportDataTaskFinished(){
// to retrieve this information, you can do as you want : use a variable
// in this class or a data in database,file...
// here a simple implementation
return isLastImportDataTaskFinished;
}
Runnable class :
public class ImportantDataProcessing implements Runnable{
public void run(){
importData(); //db calls, file manipulations, etc..
}
}
Comment:
But if I run it as a thread how can I kill it if I find it's exceeding
the time limit since I don't have any reference to it (in the idea of
using a second task to determine the stuck state)?
You can use an ExecutorService (you have a question about it here : How to timeout a thread).
Here a very simple example :
ExecutorService executor = Executors.newSingleThreadExecutor();
Future future = executor.submit(new ImportantDataProcessing());
try {
future.get(100, TimeUnit.SECONDS);
}
catch (InterruptedException e) {
e.printStackTrace();
}
catch (ExecutionException e) {
e.printStackTrace();
}
catch (TimeoutException e) {
// the timeout to handle but other exceptions should be handled :)
e.printStackTrace();
}
executor.shutdown();
If interesting information may be returned by ImportantDataProcessing processing , you can use a task instead of a runnable instance to type the future.
Firstly, sure. There are many feasibile methods to remind you if the process is blocked, such as log/message/email which embed in you code.
Secondly, it is decided by if you want it block or not. If block is not you intention, new thread or timeout may be you choice.
I am using the Java ExecutorService framework to submit callable tasks for execution.
These tasks communicate with a web service and a web service timeout of 5 mins is applied.
However I've seen that in some cases the timeout is being ignored and thread 'hangs' on an API call - hence, I want to cancel all the tasks that take longer than say, 5 mins.
Currently, I have a list of futures and I iterate through them and call future.get until all tasks are complete. Now, I've seen that the future.get overloaded method takes a timeout and throws a timeout when the task doesnt complete in that window. So I thought of an approach where I do a future.get() with timeout and in case of TimeoutException I do a future.cancel(true) to make sure that this task is interrupted.
My main questions
1. Is the get with a timeout the best way to solve this issue?
2. Is there the possibility that I'm waiting with the get call on a task that hasnt yet been placed on the thread pool(isnt an active worker). In that case I may be terminating a thread that, when it starts may actually complete within the required time limit?
Any suggestions would be deeply appreciated.
Is the get with a timeout the best way to solve this issue?
This will not suffice. For instance, if your task is not designed to response to interruption, it will keep on running or be just blocked
Is there the possibility that I'm waiting with the get call on a task that hasnt yet been placed on the thread pool(isnt an active worker). In that case I may be terminating a thread that, when it starts may actually complete within the required time limit?
Yes, You might end up cancelling as task which is never scheduled to run if your thread-pool is not configured properly
Following code snippet could be one of the way you can make your task responsive to interruption when your task contains Non-interruptible Blocking. Also it does not cancel the task which are not scheduled to run. The idea here is to override interrupt method and close running tasks by say closing sockets, database connections etc. This code is not perfect and you need to make changes as per requirements, handle exceptions etc.
class LongRunningTask extends Thread {
private Socket socket;
private volatile AtomicBoolean atomicBoolean;
public LongRunningTask() {
atomicBoolean = new AtomicBoolean(false);
}
#Override
public void interrupt() {
try {
//clean up any resources, close connections etc.
socket.close();
} catch(Throwable e) {
} finally {
atomicBoolean.compareAndSet(true, false);
//set the interupt status of executing thread.
super.interrupt();
}
}
public boolean isRunning() {
return atomicBoolean.get();
}
#Override
public void run() {
atomicBoolean.compareAndSet(false, true);
//any long running task that might hang..for instance
try {
socket = new Socket("0.0.0.0", 5000);
socket.getInputStream().read();
} catch (UnknownHostException e) {
} catch (IOException e) {
} finally {
}
}
}
//your task caller thread
//map of futures and tasks
Map<Future, LongRunningTask> map = new HashMap<Future, LongRunningTask>();
ArrayList<Future> list = new ArrayList<Future>();
int noOfSubmittedTasks = 0;
for(int i = 0; i < 6; i++) {
LongRunningTask task = new LongRunningTask();
Future f = execService.submit(task);
map.put(f, task);
list.add(f);
noOfSubmittedTasks++;
}
while(noOfSubmittedTasks > 0) {
for(int i=0;i < list.size();i++) {
Future f = list.get(i);
LongRunningTask task = map.get(f);
if (task.isRunning()) {
/*
* This ensures that you process only those tasks which are run once
*/
try {
f.get(5, TimeUnit.MINUTES);
noOfSubmittedTasks--;
} catch (InterruptedException e) {
} catch (ExecutionException e) {
} catch (TimeoutException e) {
//this will call the overridden interrupt method
f.cancel(true);
noOfSubmittedTasks--;
}
}
}
}
execService.shutdown();
Is the get with a timeout the best way to solve this issue?
Yes it is perfectly fine to get(timeout) on a Future object, if the task that the future points to is already executed it will return immediately. If the task is yet to be executed or is being executed then it will wait until timeout and is a good practice.
Is there the possibility that I'm waiting with the get call on a task
that hasnt yet been placed on the thread pool(isnt an active worker)
You get Future object only when you place a task on the thread pool so it is not possible to call get() on a task without placing it on thread pool. Yes there is a possibility that the task has not yet been taken by a free worker.
The approach that you are talking about is ok. But most importantly before setting a threshold on the timeout you need to know what is the perfect value of thread pool size and timiout for your environment. Do a stress testing which will reveal whether the no of worker threads that you configured as part of Threadpool is fine or not. And this may even reduce the timeout value. So this test is most important i feel.
Timeout on get is perfectly fine but you should add to cancel the task if it throws TimeoutException. And if you do the above test properly and set your thread pool size and timeout value to ideal than you may not even need to cancel tasks externally (but you can have this as backup). And yes sometimes in canceling a task you may end up canceling a task which is not yet picked up by the Executor.
You can of course cancel a Task by using
task.cancel(true)
It is perfectly legal. But this will interrupt the thread if it is "RUNNING".
If the thread is waiting to acquire an intrinsic lock then the "interruption" request has no effect other than setting the thread's interrupted status. In this case you cannot do anything to stop it. For the interruption to happen, the thread should come out from the "blocked" state by acquiring the lock it was waiting for (which may take more than 5 mins). This is a limitation of using "intrinsic locking".
However you can use explicit lock classes to solve this problem. You can use "lockInterruptibly" method of the "Lock" interface to achieve this. "lockInterruptibly" will allow the thread to try to acquire a lock while remaining responsive to the interruption. Here is a small example to achieve that:
public void workWithExplicitLock()throws InterruptedException{
Lock lock = new ReentrantLock();
lock.lockInterruptibly()();
try {
// work with shared object state
} finally {
lock.unlock();
}
}
What is the best way to handle RejectedExecutionException while using a ThreadPoolExecutor in Java?
I want to ensure that the task submitted should not be overlooked and should surely get executed. As of now there are no hard real time requirements to get the task done.
One of the things I thought could be done was waiting in a loop till I know that there is space in the runnable queue, and then go on and add it to the queue.
Would be glad if people can share their experiences.
Adding the possible solution I though of:
while(executor.getQueue().remainingCapacity <= 0){
// keep looping
Thread.sleep(100);
};
//if the loop exits ,indicates that we have space in the queue hence
//go ahead and add to the queue
executor.execute(new ThreadInstance(params));
I would change the behaviour of your queue. e.g.
public class MyBlockingQueue<E> extends ArrayBlockingQueue<E> {
private final long timeoutMS;
public MyBlockingQueue(int capacity, long timeoutMS) {
super(capacity);
this.timeoutMS = timeoutMS;
}
#Override
public boolean offer(E e) {
try {
return super.offer(e, timeoutMS, TimeUnit.MILLISECONDS);
} catch (InterruptedException e1) {
Thread.currentThread().interrupt();
return false;
}
}
}
This will wait for the queue to drain before giving up.
If you have constrained your thread pool to only allow a certain number of concurrent threads (generally a good thing), then the application needs to somehow push-back on the calling code, so when you receive a RejectedExecutionException from the ThreadPoolExecutor you need to indicate this to the caller and the caller will need to handle the retry.
An analogous situation is a web server under heavy load. A client connects, the web server should return a 503 - Service Unavailable (generally a temporary condition) and the client decides what to do about it.
Let's say I do something in Java like:
RemoteResponse response = null;
try {
FutureTask task new FutureTask(....);
executor.execute(task);
response = task.get(1000, TimeUnits.MILLISECONDS);
}
catch( TimeoutException te ) {
.. should I do something special here? ...
.. what happens to the return value of the task if task.get() throws an exception? ...
.. is it ever garbage collected? ..
}
My question is does something hold onto RemoteResponse in the case where TimeoutException is thrown? Will it get garbage collected? Do I have to call the cancel() method on the task for that to happen?
Edit after the question was revised:
response is a reference to a RemoteResponse that task is responsible for allocating. The assignment of the return value from a method won't happen if the method threw an exception, so there is no need for special handling of response.
task will be unreferenced when it goes out of scope, either through normal execution or if an exception is thrown.
If the resources allocated by task are well encapsulated, ie there are no externally held references, and are released (close, release, whatever), then there should be no resource leakage.
There's no need to call cancel unless there is some shared resource the task has exclusively or some other consumable resource that the rest of the application needs.
I'd at least log the fact that the task didn't complete in the time allotted. What else you do depends on the requirements of your application.
Note that task will continue executing until completion, regardless of the get call.
I think the way to look at the problem is that you need to claim the resource outside of the FutureTask, so that when you do decide to cancel it you can force the reclamation of resources.
so:
Resource res = null;
try {
resource = ResourceAquirer.claim()
FutureTask<?> task = new FutureTask<?>(resource);
executor.execute(task);
response = task.get(1000, TimeUnits.MILLISECONDS);
} catch (Exception e) {
// logging
} finally {
if (resource != null) {
resource.release();
}
}
This way you can be sure that the resource will be freed. It is really frustrating that all of that cannot be encapuslated inside the future task, but I cannot find proof that calling cancel on a futuretask will ensure that a finally block is invoked inside the FutureTask. (Maybe I'll ask that as another question)