Understand the basic concept of Atlassian Concurrency Utilities framework
The basic concept of Atlassian Concurrency Utilities framework
Atlassian Concurrency Utilities (referred to as ACU) is a Java library that provides a set of tools for convenient and efficient processing concurrent programming.ACU aims to simplify concurrent programming and help developers handle complex multi -threaded scenarios to improve the performance and reliability of the system.
ACU provides the following basic concepts:
1. Latch: Organization is a mechanism for thread synchronization. It can block the thread until a specified condition is met.
The following is a simple example code using the atresia:
import com.atlassian.concurrency.api.Latch;
public class LatchExample {
public static void main(String[] args) {
Latch latch = Latch.create();
Thread thread1 = new Thread(() -> {
// Simulation thread performs some tasks
try {
Thread.sleep(2000);
} catch (InterruptedException e) {
e.printStackTrace();
}
latch.release();
});
Thread thread2 = new Thread(() -> {
// Simulation thread performs some tasks
try {
Thread.sleep(3000);
} catch (InterruptedException e) {
e.printStackTrace();
}
latch.release();
});
thread1.start();
thread2.start();
try {
latch.await();
System.out.println ("All thread executes");
} catch (InterruptedException e) {
e.printStackTrace();
}
}
}
In the above code, we created a lock -latch`, and then opened two threads `Thread1` and` Thread2` to perform some tasks.After each thread is executed, the atresia will be notified through the `latch.release ()`.In the main thread, use the method of `Latch.await ()` to wait until all threads are executed.
2. Cursor: Casting is a thread -safe traversal data structure that can be shared and updated between multiple threads.ACU provides several cursor implementation, such as `Atomicmap` and ConcurrentMap`.
The following is an example code using `AtomicMap`
import com.atlassian.concurrency.api.atomic.AtomicMap;
public class CursorExample {
public static void main(String[] args) {
AtomicMap<String, Integer> map = AtomicMap.create();
map.put("A", 1);
map.put("B", 2);
map.put("C", 3);
for (AtomicMap.Entry<String, Integer> entry : map.entrySet()) {
System.out.println(entry.getKey() + " - " + entry.getValue());
}
}
}
In the above code, we created a `AtomicMap` and added a few key values to it.Use the `Entryset () method to obtain all the items of the cursor, and traverse and print the key value pair of each item through the iterator.
3. Async Tasks: ACU provides a mechanism that simplifies asynchronous programming that allows developers to perform tasks asynchronous and handle the results after the task is completed.
The following is an example code that uses asynchronous tasks:
import com.atlassian.concurrency.api.async.AsyncFunction;
import com.atlassian.concurrency.api.async.AsyncTasks;
import java.util.concurrent.ExecutionException;
public class AsyncTaskExample {
public static void main(String[] args) {
AsyncFunction<String, Integer> asyncFunction = input -> {
// Simulation time -consuming operation
Thread.sleep(2000);
return Integer.parseInt(input);
};
AsyncTasks<Integer> asyncTasks = AsyncTasks.create();
asyncTasks.submit(() -> asyncFunction.apply("123"))
.success (Result-> System.out.println ("Task execution result:" + Result)
.onFailure(Throwable::printStackTrace);
try {
asyncTasks.waitForAll().get();
} catch (InterruptedException | ExecutionException e) {
e.printStackTrace();
}
}
}
In the above code, we created an asynchronous function `asyncfunction`, which converts the string to an integer and simulates a time -consuming operation.Then, we created an object of `Asynctasks" to submit tasks and handle the results of the task execution.Finally, we use the `WAITFOORALL ()` method to wait for all tasks to complete.
By using the Atlassian Concurrency Utilities framework, developers can easily process concurrent programming to improve the readability, maintenance and performance of code.
