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Reading and writing in the array using threads

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An array is a collection of items stored at contiguous memory locations. The idea is to store multiple items of the same type together. This makes it easier to calculate the position of each element by simply adding an offset to a base value, i.e., the memory location of the first element of the array (generally denoted by the name of the array). Arrays are used to store homogeneous data. The conventional way of storing the elements in an array and reading the elements from an array takes a lot of time if there are numerous elements.

Array

Writing and reading elements in an array is a small problem where each element is first added to the array and then the entire array is read element by element and printed on the console. But when the number of elements is too large, it could take a lot of time. But this could be solved by dividing the writing and reading tasks into parts.

This could be done by using multi-threading where each core of the processor is used. In this case, two threads are used, where one thread is responsible for writing to the array and the other thread is responsible for reading the array. In this way, the performance of a program can be improved as well as the cores of the processor can be utilized. It is better to use one thread for each core. Although one can create as many threads as required for a better understanding of multi-threading.

This article focuses on writing and reading the elements of the array using the concept of multithreading.

Approach: This section states the algorithm that is followed to design a program to writing and read elements of an array using multithreading:

  • In the first step, two threads will be created.
  • One for writing operation and one for reading operation.
  • Here the synchronized keyword is used with the array so that only one thread can access the array at a time.
  • First, the write operation will be performed on the array.
  • Then, the read operation is performed on the array.

Below is the Java program to implement the above approach-

C++14




#include <iostream>
#include <thread>
using namespace std;
 
int main()
{
    // Array created for 5 elements
    int a[5];
 
    // Thread created for write operation
    thread t1([]() {
        // Here the array is being
        // synchronized
        lock_guard<mutex> lock(m);
        cout << "Enter the elements : " << endl;
        for (int i = 0; i < 5; i++) {
            cin >> a[i];
        }
        cout << "Writing done Successfully" << endl;
    });
 
    // Thread created for read operation
    thread t2([]() {
        // Here the array is being
        // synchronized
        lock_guard<mutex> lock(m);
        cout << "The elements are : " << endl;
        for (int i = 0; i < 5; i++) {
            cout << a[i] << endl;
        }
        cout << "Reading done successfully" << endl;
    });
 
    // Write thread is started
    t1.join();
 
    // Read thread is started
    t2.join();
 
    return 0;
}


Java




// Java program for the above approach
import java.io.*;
import java.util.*;
class GFG {
    public static void main(String[] args)
    {
        // Array created for 5 elements
        int a[] = new int[5];
 
        // Thread created for write operation
        Thread t1 = new Thread(new Runnable() {
            public void run()
            {
                // Here the array is being
                // synchronized
                synchronized (a)
                {
                    Scanner s = new Scanner(System.in);
                    System.out.println(
                        "Enter the elements : ");
 
                    for (int i = 0; i < 5; i++) {
                        a[i] = s.nextInt();
                    }
 
                    System.out.println(
                        "Writing done Successfully");
                }
            }
        });
 
        // Thread created for read operation
        Thread t2 = new Thread(new Runnable() {
            public void run()
            {
                // Here the array is being
                // synchronized
                synchronized (a)
                {
                    System.out.println(
                        "The elements are : ");
 
                    for (int i = 0; i < 5; i++) {
                        System.out.println(a[i]);
                    }
 
                    System.out.println(
                        "Reading done successfully");
                }
            }
        });
 
        // Write thread is started
        t1.start();
 
        // Read thread is started
        t2.start();
    }
}


Python3




import threading
 
# Array created for 5 elements
a = [0] * 5
 
# Lock object to synchronize access to the array
lock = threading.Lock()
 
# Thread created for write operation
t1 = threading.Thread(target=lambda: write_thread())
 
# Thread created for read operation
t2 = threading.Thread(target=lambda: read_thread())
 
def write_thread():
    global a
    global lock
 
    # Here the array is being synchronized
    with lock:
        print("Enter the elements:")
        for i in range(5):
            a[i] = int(input())
        print("Writing done successfully")
 
def read_thread():
    global a
    global lock
 
    # Here the array is being synchronized
    with lock:
        print("The elements are:")
        for i in range(5):
            print(a[i])
        print("Reading done successfully")
 
# Write thread is started
t1.start()
 
# Read thread is started
t2.start()
 
# Wait for both threads to finish
t1.join()
t2.join()
 
# This code is contributed by akashish__


C#




// C# program for the above approach
using System;
using System.Threading;
 
public class GFG
{
  static public void Main()
  {
 
    // Array created for 5 elements
    int[] a = new int[5];
 
    // Thread created for write operation
    Thread t1 = new Thread(() => {
 
      // Here the array is being
      // synchronized
      lock(a) {
        Console.WriteLine("Enter the elements : ");
 
        for (int i = 0; i < 5; i++) {
          a[i] = Convert.ToInt32(Console.ReadLine());
        }
 
        Console.WriteLine("Writing done Successfully");
      }
    });
 
    // Thread created for read operation
    Thread t2 = new Thread(() => {
 
      // Here the array is being
      // synchronized
      lock(a) {
        Console.WriteLine("The elements are : ");
 
        for (int i = 0; i < 5; i++) {
          Console.WriteLine(a[i]);
        }
 
        Console.WriteLine("Reading done successfully");
      }
    });
 
    // Write thread is started
    t1.Start();
 
    // Read thread is started
    t2.Start();
  }
}
 
// This code is contributed by akashish__


Javascript




// Array created for 5 elements
let a = new Array(5);
 
// Thread created for write operation
let t1 = new Thread(() => {
 
// Here the array is being
// synchronized
lock_guard.lock(m);
console.log("Enter the elements : ");
for (let i = 0; i < 5; i++) {
a[i] = prompt();
}
console.log("Writing done Successfully");
});
 
// Thread created for read operation
let t2 = new Thread(() => {
 
// Here the array is being
// synchronized
lock_guard.lock(m);
console.log("The elements are : ");
for (let i = 0; i < 5; i++) {
console.log(a[i]);
}
console.log("Reading done successfully");
});
 
// Write thread is started
t1.start();
 
// Read thread is started
t2.start();
 
// This code is contributed by akashish__


Output:

Output

Explanation: Here, firstly the write thread is started and at that time read thread will not interfere as the array is synchronized. Similarly, during reading, write thread will not interfere.



Last Updated : 17 Mar, 2023
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