Performance Improvement for each thread using different unique id - java

Problem Statement is:-
Each thread uses unique ID between 1 and 1000 and program has to run for 60 minutes or more, So in that 60 minutes it is possible that all the ID's will get finished so I need to reuse those ID's again,
I know several ways to do it, one way is the below that I wrote by taking help from StackOverflow, but when I tried running this, what I found is that, after few minutes of run this program gets very slow and it takes lot of time to print the ID on the console. And also I get OutOfMemory Error sometimes. Is there any better way to solve this kind of problem?
class IdPool {
private final LinkedList<Integer> availableExistingIds = new LinkedList<Integer>();
public IdPool() {
for (int i = 1; i <= 1000; i++) {
availableExistingIds.add(i);
}
}
public synchronized Integer getExistingId() {
return availableExistingIds.removeFirst();
}
public synchronized void releaseExistingId(Integer id) {
availableExistingIds.add(id);
}
}
class ThreadNewTask implements Runnable {
private IdPool idPool;
public ThreadNewTask(IdPool idPool) {
this.idPool = idPool;
}
public void run() {
Integer id = idPool.getExistingId();
someMethod(id);
idPool.releaseExistingId(id);
}
private void someMethod(Integer id) {
System.out.println("Task: " +id);
}
}
public class TestingPool {
public static void main(String[] args) throws InterruptedException {
int size = 10;
int durationOfRun = 60;
IdPool idPool = new IdPool();
// create thread pool with given size
// create thread pool with given size
ExecutorService service = new ThreadPoolExecutor(size, size, 500L, TimeUnit.MILLISECONDS, new ArrayBlockingQueue<Runnable>(10), new ThreadPoolExecutor.CallerRunsPolicy());
// queue some tasks
long startTime = System.currentTimeMillis();
long endTime = startTime + (durationOfRun * 60 * 1000L);
// Running it for 60 minutes
while(System.currentTimeMillis() <= endTime) {
service.submit(new ThreadNewTask(idPool));
}
// wait for termination
service.shutdown();
service.awaitTermination(Long.MAX_VALUE, TimeUnit.DAYS);
}
}

I already explained you in your previous question that your code submitted millions and millions of tasks to the executor, since it submits tasks in a loop during 60 minutes, withot waiting.
It's very unclear what your end goal is, but as is, you're filling a queue of tasks until you don't have any memory available anymore. Since you don't explain the goal of your program, it's hard to give you any solution.
But the first thing you could do is to limit the size of the task queue of your executor. This would force the main thread to block each time the queue is full.

Related

ScheduledExecutorService execute tasks late, with low CPU & RAM usage

I need to create multiple tasks, each of that executes every n seconds. I've decided to use ScheduledExecutorService to schedule task execution. The problem is tasks not executed in time. I thought the reason is not enough processor time, but actual CPU usage is about 4-5 percents.
My schedulers creator:
class SchedulersCreator {
private final ScheduledExecutorService scheduler
= Executors.newScheduledThreadPool(1);
public SchedulersCreator(int tasksAmount, int repeatCount) {
for (int taskId = 0; taskId <= tasksAmount; taskId++) {
// create new task, that executes every 2 seconds
MyTask task = new MyTask(scheduler, repeatCount, 2, taskId);
// execute new task
task.run();
}
}
public static void main(String[] args) {
System.out.println("Program started");
// create & start 10 tasks, each of the executes 10 times with period 2 seconds
SchedulersCreator scheduler = new SchedulersCreator(10, 10);
System.out.println("All tasks created & started");
}
}
My task:
class MyTask implements Runnable {
// number of executions
private int executesTimesLeft;
// execution period
private final int periodSeconds;
// task id
private final int id;
// scheduler
private ScheduledExecutorService scheduler;
// field to measure time between executions
private long lastExecution = 0;
public MyTask(ScheduledExecutorService scheduler, int executes, int periodSeconds, int id) {
this.executesTimesLeft = executes;
this.id = id;
this.periodSeconds = periodSeconds;
this.scheduler = scheduler;
}
private void performAction() {
long before = System.currentTimeMillis();
long time = (before - lastExecution) % 1_000_000;
lastExecution = before;
// Simulates useful calculations
try {
Thread.sleep(1000);
} catch (InterruptedException ex) {
}
long after = System.currentTimeMillis();
if (id % 100_000 == 0) {
long duration = after - before;
System.out.println("Time since prev execution:\t" + time + "\t"
+ "Task " + id + ": "
+ executesTimesLeft + " executions lefts; "
+ "current duration\t" + duration);
}
}
#Override
public void run() {
// perform useful calculation in another thread
new Thread(() -> performAction()).run();
executesTimesLeft--;
if (executesTimesLeft > 0) { // schedule next task execution
scheduler.schedule(this, periodSeconds, SECONDS);
}
}
}
The code at the ideone: https://ideone.com/s3iDif.
I've expected time between executions about 2 seconds, but the actual result is 3-4 seconds.
Program output:
...
Time since prev execution: 3028 Task 0: 2 executions lefts; current duration 1000
Time since prev execution: 4001 Task 0: 1 executions lefts; current duration 1001
Your code doesn't use the scheduler properly.
// perform useful calculation in another thread
new Thread(() -> performAction()).run();
This doesn't actually run the code in a new thread. To do that you need to call start(), not run(). Calling run() makes the code execute in the current thread, no different than if you had just written performAction();.
However, you shouldn't be explicitly creating a new thread at all. You can and should do the work right in MyTask.run().
Tasks don't need to know about the scheduler or their frequency. Change this code:
MyTask task = new MyTask(scheduler, repeatCount, 2, taskId);
// execute new task
task.run();
to:
MyTask task = new MyTask(repeatCount, taskId);
Future<?> future = scheduler.scheduleAtFixedRate(task, 0, 2, SECONDS);
You want the task to repeat, so use the scheduler method that does so. That'll allow the scheduler to adjust the time in between tasks based on how long they take to run.
Move all of performAction() into MyTask.run(). When you want the task to stop repeating, use the future to cancel it.

Service times directly proportional to number of threads

My system is i5-Dual core with hyper-threading. Windows show me 4 processors. When i run a single optimized cpu-bound task by a single thread at a time its service time always display arround 35ms. But when i handover 2 tasks to 2 threads simultanously their service times display arround 70ms. I want to ask that my system have 4 processors then why does service times are arround 70 in case of 2 threads running teir tasks whereas 2 threads should run on 2 processors without any scheduling overhead.The codes are as follows.
CPU-Bound Task is as follows.
import java.math.BigInteger;
public class CpuBoundJob implements Runnable {
public void run() {
BigInteger factValue = BigInteger.ONE;
long t1=System.nanoTime();
for ( int i = 2; i <= 2000; i++){
factValue = factValue.multiply(BigInteger.valueOf(i));
}
long t2=System.nanoTime();
System.out.println("Service Time(ms)="+((double)(t2-t1)/1000000));
}
}
Thread that runs a task is as follows.
public class TaskRunner extends Thread {
CpuBoundJob job=new CpuBoundJob();
public void run(){
job.run();
}
}
And Finally, main class is as follows.
public class Test2 {
int numberOfThreads=100;//warmup code for JIT
public Test2(){
for(int i=1;i<=numberOfThreads;i++){//warmup code for JIT
TaskRunner t=new TaskRunner();
t.start();
}
try{
Thread.sleep(5000);// wait a little bit
}catch(Exception e){}
System.out.println("Warmed up completed! now start benchmarking");
System.out.println("First run single thread at a time");
try{//wait for the thread to complete
Thread.sleep(5000);
}catch(Exception e){}
//run only one thread at a time
TaskRunner t1=new TaskRunner();
t1.start();
try{//wait for the thread to complete
Thread.sleep(5000);
}catch(Exception e){}
//Now run 2 threads simultanously at a time
System.out.println("Now run 3 thread at a time");
for(int i=1;i<=3;i++){//run 2 thread at a time
TaskRunner t2=new TaskRunner();
t2.start();
}
}
public static void main(String[] args) {
new Test2();
}
Final output:
Warmed up completed! now start benchmarking First run single thread at
a time Service Time(ms)=5.829112 Now run 2 thread at a time Service
Time(ms)=6.518721 Service Time(ms)=10.364269 Service
Time(ms)=10.272689
I timed this in a variety of scenarios, and with a slightly modified task, got times of ~45 ms with one thread and ~60 ms for two threads. So, even in this example, in one second, one thread can complete about 22 tasks, but two threads can complete 33 tasks.
However, if you run a task that doesn't tax the garbage collector so grievously, you should see the performance increase you expect: two threads complete twice as many tasks. Here is my version of your test program.
Note that I made one significant change to your task (DirtyTask): n was always 0, because you cast the result of Math.random() to an int (which is zero), and then multiplied by 13.
Then I added a CleanTask that doesn't generate any new objects for the garbage collector to handle. Please test and report the results on your machine. On mine, I got this:
Testing "clean" task.
Average task time: one thread = 46 ms; two threads = 45 ms
Testing "dirty" task.
Average task time: one thread = 41 ms; two threads = 62 ms
import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.Callable;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.Future;
import java.util.concurrent.ThreadLocalRandom;
import java.util.concurrent.TimeUnit;
import java.util.function.Supplier;
final class Parallels
{
private static final int RUNS = 10;
public static void main(String... argv)
throws Exception
{
System.out.println("Testing \"clean\" task.");
flavor(CleanTask::new);
System.out.println("Testing \"dirty\" task.");
flavor(DirtyTask::new);
}
private static void flavor(Supplier<Callable<Long>> tasks)
throws InterruptedException, ExecutionException
{
ExecutorService warmup = Executors.newFixedThreadPool(100);
for (int i = 0; i < 100; ++i)
warmup.submit(tasks.get());
warmup.shutdown();
warmup.awaitTermination(1, TimeUnit.DAYS);
ExecutorService workers = Executors.newFixedThreadPool(2);
long t1 = test(1, tasks, workers);
long t2 = test(2, tasks, workers);
System.out.printf("Average task time: one thread = %d ms; two threads = %d ms%n", t1 / (1 * RUNS), t2 / (2 * RUNS));
workers.shutdown();
}
private static long test(int n, Supplier<Callable<Long>> tasks, ExecutorService workers)
throws InterruptedException, ExecutionException
{
long sum = 0;
for (int i = 0; i < RUNS; ++i) {
List<Callable<Long>> batch = new ArrayList<>(n);
for (int t = 0; t < n; ++t)
batch.add(tasks.get());
List<Future<Long>> times = workers.invokeAll(batch);
for (Future<Long> f : times)
sum += f.get();
}
return TimeUnit.NANOSECONDS.toMillis(sum);
}
/**
* Do something on the CPU without creating any garbage, and return the
* elapsed time.
*/
private static class CleanTask
implements Callable<Long>
{
#Override
public Long call()
{
long time = System.nanoTime();
long x = 0;
for (int i = 0; i < 15_000_000; i++)
x ^= ThreadLocalRandom.current().nextLong();
if (x == 0)
throw new IllegalStateException();
return System.nanoTime() - time;
}
}
/**
* Do something on the CPU that creates a lot of garbage, and return the
* elapsed time.
*/
private static class DirtyTask
implements Callable<Long>
{
#Override
public Long call()
{
long time = System.nanoTime();
String s = "";
for (int i = 0; i < 10_000; i++)
s += (int) (ThreadLocalRandom.current().nextDouble() * 13);
if (s.length() == 10_000)
throw new IllegalStateException();
return System.nanoTime() - time;
}
}
}
for(int i=0;i<10000;i++)
{
int n=(int)Math.random()*13;
s+=name.valueOf(n);
//s+="*";
}
This code is a tight spin around a resource that can only be accessed by one thread at a time. So each thread just has to wait for the other to release the random number generator so that it can access it.
As the docs for Math.random say:
When this method is first called, it creates a single new pseudorandom-number generator, exactly as if by the expression
new java.util.Random()
This new pseudorandom-number generator is used thereafter for all calls to this method and is used nowhere else.
This method is properly synchronized to allow correct use by more than one thread. However, if many threads need to generate pseudorandom numbers at a great rate, it may reduce contention for each thread to have its own pseudorandom-number generator.

Java Swing and Threads to schedule

I am trying to come up with a concept where in the GUI I can give a query and specify the Pacing and duration.Like I give it 2 mins and 5hrs..which translates like for every 2mins run the given query for the next 5hrs..Though my GUI is ready and able to submit a query...I am unable to bring in the above specified time concept..Though I am sure this can be done through threading...I am finding it difficult to code it...can anyone over here help me with a basic approach to solve this issue ? is there a better and easy approach than threading ? please help..
Taking your example, if you have a query that you want to run every 2 minutes for 5 hours, what you need to do is calculate the number of times you want the query to execute.
2 minutes = 120 seconds.
5 hours = 18,000 seconds.
Number of times (iterations) = 18,000 / 120 = 150 iterations.
Therefore, you would need to submit the query 150 times, every 120 seconds (or 120,000 milliseconds).
You have to use threads if you want to submit more than one query with your GUI.
Edited to add: Based on assylias's comment, here's some code
public void runQuery(int interval, int duration) {
final Runnable query = new Runnable() {
#Override
public void run() {
// Run query
}
};
ScheduledExecutorService scheduler = Executors
.newScheduledThreadPool(1);
final ScheduledFuture<?> queryHandle = scheduler.scheduleAtFixedRate(
query, 0, interval, TimeUnit.SECONDS);
scheduler.schedule(new Runnable() {
#Override
public void run() {
queryHandle.cancel(true);
}
}, duration, TimeUnit.SECONDS);
}
Just using Thread, here's another version.
public void runQuery(int interval, int duration) {
final Runnable query = new Runnable() {
#Override
public void run() {
// Run query
}
};
int iterations = duration / interval;
for (int i = 0; i < iterations; i++) {
new Thread(query).start();
for (int j = 0; j < interval; j++) {
try {
Thread.sleep(1000L);
} catch (InterruptedException e) {
}
}
}
}
The Runnable query is just a place holder in these code examples.
You going to have to write a class that implements Runnable and passes the results of your query back to the GUI. Since you're not on the Swing Event Dispatch thread, you'll have to use the SwingUtilities.invokeLater() method to actually make GUI changes.
You would pass an instance of your class to one of these threaded methods to be executed for the interval and duration that you pass.

Java - Most optimal way to poll for timeout

I have code such that:
while(isResponseArrived)
Thread.yield();
But what I'd really like to do is something like this:
long startTime = System.currentTimeInMilliseconds();
while(isResponseArrived)
{
if(isTimeoutReached(startTime))
throw new TimeOutExcepton();
Thread.yield();
}
I'm not yet sure about throwing an exception or not (it's not important for this question), but what I'd like to know is how to make it as performant as possible, so I'm not chugging away on the processor. In other words how can I make isTimeoutReached(long startTime) as performance friendly as possible.
I tested:
for(int x=0; x<99999999; x++)
System.nanoTime();
versus
for(int x=0; x<99999999; x++)
System.currentTimeInMilliseconds();
And the difference was minimal, less than 10% in terms of time to complete
I also look at using Thread.sleep(), but I really want the user to be notified as quickly as possible if there's an update and the processor is just waiting. Thread.yield() doesn't get the processor churning, it's just a NOP, giving anyone else processor priority, until it's good to go.
Anyways, what's the best way to test for a timeout without throttling the CPU? Is this the right method?
I think it would be more efficient to use wait / notify
boolean arrived;
public synchronized void waitForResponse(long timeout) throws InterruptedException, TimeoutException {
long t0 = System.currentTimeMillis() + timeout;
while (!arrived) {
long delay = System.currentTimeMillis() - t0;
if (delay < 0) {
throw new TimeoutException();
}
wait(delay);
}
}
public synchronized void responseArrived() {
arrived = true;
notifyAll();
}
In my experience timeout are arbitarily chosen as as such as not time critical. If I choose a timeout of 1000 ms and it takes 1001 ms instead the impact should be trivial. For implementing timesout I suggest making the implementation as simple as possible.
You can implement Timeouts with a ScheduledExecutorService e.g.
final ScheduledExecutorService ses = Executors.newSingleThreadScheduledExecutor();
public void addTimeoutForTask(final Future future, int timeOutMS) {
ses.schedule(new Runnable() {
#Override
public void run() {
future.cancel(true);
}
}, timeOutMS, TimeUnit.MILLISECONDS);
}
If you are performing some non-blocking operation and you want this to timeout you can do.
interface TimedPoller {
public void poll();
/**
* #return is it now closed.
*/
public boolean checkTimeout(long nowNS);
}
private final Set<TimedPoller> timedPollers = new LinkedHashSet<>();
private volatile TimedPoller[] timedPollersArray = {};
public void add(TimedPoller timedPoller) {
synchronized (timedPollers) {
long nowNS = System.nanoTime();
if (!timedPoller.checkTimeout(nowNS) && timedPollers.add(timedPoller))
timedPollersArray = timedPollers.toArray(new TimedPoller[timedPollers.size());
}
}
public void remove(TimedPoller timedPoller) {
synchronized (timedPollers) {
if (timedPollers.remove(timedPoller))
timedPollersArray = timedPollers.toArray(new TimedPoller[timedPollers.size());
}
}
private volatile boolean running = true;
public void run() {
while (running) {
// check the timeout for every 1000 polls.
for (int i = 0; i < 1000; i += timedPollersArray.length) {
TimedPoller[] pollers = timedPollersArray;
for (TimedPoller poller : pollers) {
poller.poll();
}
}
long nowNS = System.nanoTime();
TimedPoller[] pollers = timedPollersArray;
for (TimedPoller poller : pollers) {
if (poller.checkTimeout(nowNS))
remove(poller);
}
}
}
Either you give up the CPU or you don't. If you give up the CPU, other threads can run but you will get a delay before you can run again. Or you don't give up the CPU which improves your response time, but another thread cannot run.
It appears you want to be able to let other things run, without the cost of giving up the CPU. This is not trivial but can give you some of the benefits of both if done correctly (or worst of both if not done efficiently)
What you can do is implement your own threading logic provided you have lots of small tasks, e.g. say you want to poll ten things you can use just one CPU.

Run code for x seconds in Java?

I'd like to write a java while loop that will iterate for 15 seconds. One way I thought to do this would be to store the current system time + 15sec and then compare that to the current time in the while loop signature.
Is there a better way?
The design of this depends on what you want doing for 15s. The two most plausible cases are "do this every X for 15s" or "wait for X to happen or 15s whichever comes sooner", which will lead to very different code.
Just waiting
Thread.sleep(15000)
This doesn't iterate, but if you want to do nothing for 15s is much more efficient (it wastes less CPU on doing nothing).
Repeat some code for 15s
If you really want to loop for 15s then your solution is fine, as long as your code doesn't take too long. Something like:
long t= System.currentTimeMillis();
long end = t+15000;
while(System.currentTimeMillis() < end) {
// do something
// pause to avoid churning
Thread.sleep( xxx );
}
Wait for 15s or some other condition
If you want your code to be interrupted after exactly 15s whatever it is doing you'll need a multi-threaded solution. Look at java.util.concurrent for lots of useful objects. Most methods which lock (like wait() ) have a timeout argument. A semaphore might do exactly what you need.
As already mentioned by other posters, if you just want the thread to pause for some time use Thread.sleep().
If you want the thread to do something, but want to make it stop after a while, use something like:
class Foo implements Runnable {
private volatile boolean killed = false;
public void run() {
while (!killed) {
try { doOnce(); } catch (InterruptedException ex) { killed = true; }
}
}
public void kill() { killed = true; }
private void doOnce() throws InterruptedException { /* .. */ }
}
and from the main thread, do:
Foo foo = new Foo();
Thread thread = new Thread(foo);
thread.start();
/* when you want to stop it */
foo.kill();
thread.interrupt();
Your general approach seems fine although you may want to see if the current time is greater than the point you want to stop, otherwise, you might be running for a long time.
The alternative is to run a timer/thread that sets a flag after 15 seconds have elapsed. This flag would have to be marked as volatile otherwise your loop might not see the change occur in the value.
The choice if you care about efficiency is which is more expensive, getting the system time once per loop or accessing a volatile variable? I don't know which one is more efficient - you could benchmark it if it's really important.
For simple, maintainable code, I'd choose the timer check approach:
long endTime = System.currentTimeMillis() + 15000
while (System.currentTimeMillis() < endTime) {
//loop
}
try this:
public class SleepMessages {
public static void main(String args[]) throws InterruptedException {
String importantInfo[] = {
"Mares eat oats",
"Does eat oats",
"Little lambs eat ivy",
"A kid will eat ivy too"
};
for (int i = 0; i < importantInfo.length; i++) {
//Pause for 15 seconds
Thread.sleep(15000);
//Print a message
System.out.println(importantInfo[i]);
}
}
}
more info : here
Never check for current time in a tight loop.
Otherwise somebody with a laptop can get get his/her lap burned by an overheated CPU. I heard the stories of this actually happening.
You can use AOP and a #Timeable annotation from jcabi-aspects (I'm a developer):
#Timeable(limit = 1, unit = TimeUnit.SECONDS)
String load(String resource) {
// do this check regularly:
if (Thread.currentThread.isInterrupted()) {
throw new IllegalStateException("time out");
}
// execution as normal
}
When time limit is reached your thread will get interrupted() flag set to true and it's your job to handle this situation correctly and to stop execution.
Assuming you want the loop to do something sensible, you might find it faster to check a volatile flag. Have another thread wait 15 seconds (or use a timer) and then set it.
Alternatively, if you know roughly how long the loop body will take, run it a few hundred times, say, and do the time check in an outer loop.
final long start = System.nanoTime();
do {
for (int i=0; i<200, ++i) {
...
}
} while (System.nanoTime()-start < 15L*1000L*1000L*1000L);
System.nanoTime should not get confused by system clock changes. Use of long literal numbers is important.
You might be interested in scheduling a TimerTask that stops another thread or changes the condition of your loop.
For the java.util.concurrent approach, refer to Chapter 6 of Java Concurrency in Practice (section 6.3.7 Placing time limits on tasks, page 131).
Code example: Fetching an advertisement with a time budget.
A solution similar to #Tom Hawtin without an arbitary loop size.
final long end = System.nanoTime() + 15 * 1000 * 1000 * 1000L;
int loop = 1;
do {
for (int i=0; i<loop; ++i) {
...
}
loop++;
} while (System.nanoTime() < end);
In this case the size of the inner loop will start small but grow in size if the loop is particularly quick. If it is slow enough, it might only iterate once.
Here is my suggestion and it's working good for me :)
StoppingTime = 15 ;
int loop = 1;
long StartTime = System.currentTimeMillis() / 1000 ;
for (int i=0; i<loop; ++i) {
// your code here
loop++;
if (((System.currentTimeMillis()/1000) - StartTime) > StoppingTime)
loop=0;
}
I would suggest you do this with the timer class avoiding the Thread.sleep(xxx); method.
for example:
import java.util.Timer;
import java.util.TimerTask;
public class TimerExample {
private int globalTimer = 0;
private int limitTimer = 15;
public static void main(String[] args) {
new TimerExample();
}
public TimerExample() {
Timer timer = new Timer();
timer.schedule(new TimerTask() {
#Override
public void run() {
globalTimer++;
// DO YOUR CODE HERE
System.out.println("running");
if (globalTimer == limitTimer) {
timer.cancel();
}
}
}, 0, 1000);
}
}
Use an object array as your local variable to pass to the thread. In your loop check to see if that variable has been changed by your thread.
NB
Its important to use an Array Of Object since a thread's run method will be able to access it even if it was a local variable.
How?
Create a new Thread
In the run method sleep(1000*15) for 15 seconds
Update your local variable.
//The thread method
public static boolean[] delay(int seconds) {
final boolean[] cont = new boolean[1];
cont[0] = true;
Thread thread = new Thread() {
#Override
public void run() {
try {
sleep(1000 * seconds);
cont[0] = false;
} catch (InterruptedException ex) {
}
}
};
thread.start();
return cont;
}
//The loop method
public void dance(){
//here we call our delay method time it for 15 seconds.
final boolean[] delay = delay(15);
for (int i = 0; i < size; i++) {
//your code here.
if (delay[0] == false) { //check if delay has been changed to false and break.
break;
}
}
}

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