How to use javaslang for concurrent programming
How to use javaslang for concurrent programming
Javaslang is a powerful Java function programming library that provides many tools and functions that can simplify the development of concurrent programming.This article will introduce how to use JavaSlang for concurrent programming, including creating threads, parallel processing sets and using atomic variables.
1. Create a thread
In javaslang, you can use the `java.util.concurrent.callace` interface or` javaslang.control.try` to create a thread.First, create a class that implements the `Callable` interface. The interface has only one` call () "method, which can be used to perform tasks in different threads.
import java.util.concurrent.Callable;
class MyCallable implements Callable<Integer> {
public Integer call() {
// Execute the concurrent task and return the result
return 42;
}
}
public class Main {
public static void main(String[] args) {
MyCallable myCallable = new MyCallable();
javaslang.control.Try<Integer> result = javaslang.control.Try.of(() -> myCallable.call());
result.get (); // Results of obtaining concurrent tasks
}
}
In the above example, we created a `MyCalLABLE` class that implements the` Callable <Integer> `interface.Use `try.of (() -> mycallLable.call ())` method can encapsulate the `call ()` method into a concurrent task.
Second, parallel processing collection
Javaslang provides a tool class for parallel processing collection `javaslang.Collection.parallel`, which can easily use multiple threads to accelerate calculation during parallel processing.The following is an example that shows how to use the `Parallel` class to perform parallel operations in the list.
import javaslang.collection.List;
import javaslang.collection.Parallel;
public class Main {
public static void main(String[] args) {
List<Integer> numbers = List.of(1, 2, 3, 4, 5);
List<Integer> doubledNumbers = Parallel.par(numbers)
.map(number -> number * 2)
.toList();
doubledNumbers.forEach(System.out::println);
}
}
In the above example, we first created a list of integer `numbers`.Then, we use the `Parallel.par ()` method to convert the list to `javaslang.collection.parallel" instances, which can easily operate the list in parallel processing.In this example, we use 2 operations to each element in the list, and use the `Tolist ()` method to convert the results back to the list.
3. Use atomic variables
Atomic variables are a very useful tool in concurrent programming, which can ensure that the operation of the variable is atom and thread safety.Javaslang provides `javaslang.concurrent.atomic`, which can easily use atomic variables.
Below is a simple example, showing how to use atomic variables to operate the counter.
import javaslang.concurrent.Atomic;
public class Main {
public static void main(String[] args) {
Atomic<Integer> counter = Atomic.of(0);
counter.updateAndGet(value -> value + 1);
System.out.println (counter.get ()); // Output results: 1
}
}
In the above example, we first created an atomic variable `counter`, which was set to 0.Then, we use the method to add the counter to the counter to add the result and obtain the updated result.Finally, we use the `Get ()` method to output the final value of the counter.
In summary, Javaslang provides many useful functions and tools for concurrent programming, including creating threads, parallel processing sets, and atomic variables.By using the functions and classes provided by JavaSlang reasonably, it can be more convenient to perform concurrent programming to improve the performance and maintenance of the program.
