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Java Multi threading - Avoid duplicate request processing


Java Multi threading - Avoid duplicate request processing

By : user3861024
Date : November 18 2020, 07:00 PM
I think the issue was by ths following , Okay, I think I kinda understand what you want.
You can use a ConcurrentSkipListSet as a queue. Implement your queued elements like this:
code :


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Hyper-threading, Multi-threading, Multi-processing and Multi-tasking - Theory

Hyper-threading, Multi-threading, Multi-processing and Multi-tasking - Theory


By : Ngan Kim
Date : March 29 2020, 07:55 AM
it should still fix some issue A thread is a sequence of program instructions that are executed by the machine.
We call a program multi-threaded when a single execution of the program has more than one thread.
Java multi-threading, best size for a pool depending on CPU cores (virtual with multi-threading and physical)

Java multi-threading, best size for a pool depending on CPU cores (virtual with multi-threading and physical)


By : user2066938
Date : March 29 2020, 07:55 AM
like below fixes the issue Your "test" job is completely CPU bound, that means it depends only on the CPU/core speed. While the i3 claims to have 4 cores, its a dual core CPU (2 cores with 2 threads each - aka hyperthreading).
Hyperthreading does not give you 4 full cores, each core works on either of its two threads (it switches automatically, e.g. when a thread waits for a memory access). So in your test case the i3 CPU performs best with two threads, since that is the maximum your CPU can handle (truely) simultaneously.
Multi Threading - Request input once for all variables (Java)

Multi Threading - Request input once for all variables (Java)


By : Smrithi Nair
Date : March 29 2020, 07:55 AM
I hope this helps . You can refer following codes. Maybe it will suit your needs according to my understanding on your question. I also applied .equals() to the code according to Hovercraft Full Of Eels suggestion.
code :
import javax.swing.JOptionPane;

public class Maths {
    public static void main(String[] args) {
        // TODO Auto-generated method stub
        String num1 = JOptionPane.showInputDialog("Num1: ");
        String num2 = JOptionPane.showInputDialog("Num2: ");
        int num11 = Integer.parseInt(num1);
        int num22 = Integer.parseInt(num2);

        calculationThread T1 = new calculationThread("Addition");
        T1.getNumber(num11, num22);
        T1.start();

        calculationThread T2 = new calculationThread("Subtraction");
        T2.getNumber(num11, num22);
        T2.start();

        calculationThread T3 = new calculationThread("Multiplication");
        T3.getNumber(num11, num22);
        T3.start();

        calculationThread T4 = new calculationThread("Division");
        T4.getNumber(num11, num22);
        T4.start();
    }
}

class calculationThread extends Thread{
    private Thread t;
    private String maths;
    private int a;
    private int b;
    private int resultplus = 0;
    private int resultminus = 0;
    private int resulttimes = 0;
    private int resultdivide = 0;

    public void getNumber(int num1, int num2){
        a = num1;
        b = num2;
    }

    calculationThread(String answer){
        maths = answer;
    }

    public void start(){
        System.out.println("Starting calculation of " + maths + "\n");
        if(t == null){
            t = new Thread(this, maths);
            t.start();
        }
    }

    public void run(){
        try {
            for (int x=0; x<=3 ; x++){
                if(maths.equals("Addition")){
                System.out.println("Calculating: " + maths + " of " + a + 
                        " + "+ b + " = " + resultplus + "\n");
                Thread.sleep(3000);
                resultplus = a + b;
                }
                else if(maths.equals("Subtraction")){
                    System.out.println("Calculating: " + maths + " of " + a + 
                            " - "+ b + " = " + resultminus + "\n");
                    Thread.sleep(3000);
                    resultminus = a - b;
                }
                else if(maths.equals("Multiplication")){
                    System.out.println("Calculating: " + maths + " of " + a + 
                            " * "+ b + " = " + resulttimes + "\n");
                    Thread.sleep(3000);
                    resulttimes = a * b;
                }   
                else if(maths.equals("Division")){
                    System.out.println("Calculating: " + maths + " of " + a + 
                            " / "+ b + " = " + resultdivide + "\n");
                    Thread.sleep(3000);
                    resultdivide = a / b;
                }   
            }   
        }
        catch (InterruptedException e){
            System.out.println("Math function failed");
        }
        finally{
            if(maths.equals("Addition")){
                System.out.println("Addition completed.");
            }
            else if(maths.equals("Subtraction")){
                System.out.println("Subtraction completed.");
            }
            else if(maths.equals("Multiplication")){
                System.out.println("Multiplication completed.");
            }
            else if(maths.equals("Division")){
                System.out.println("Division completed.");
            }           
        }
    }
}
Java multi-threading for text file processing

Java multi-threading for text file processing


By : roei bitan
Date : March 29 2020, 07:55 AM
it should still fix some issue If you're using Java 1.8+ you could use the streams API.
.parallelStream() will execute the tasks in parallel, assigning a thread to each task.
code :
List<File> files = new ArrayList<>(); //initialization

//populate list here

files.parallelStream()
     .forEach(x->{
       //logic goes here
      });
Producer Consumer with Java (Streams) Multi [Threading/Processing]

Producer Consumer with Java (Streams) Multi [Threading/Processing]


By : Marius
Date : March 29 2020, 07:55 AM
help you fix your problem Looks like reactive streams (and not java streams or AWS lambdas) are the best suitable tool for your task. They provide:
backpressure, that is, balancing the speed of consumers and producers parallel execution of all the steps of pipeline chain connecting multiple consumers for the same producer
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