Table of contents
use single thread
The value of the counter is modified by a single thread, and there is no problem. The result of each operation is 10000, but the program takes a long time
package com.example;
/**
* 计数器
*/
class Counter {
private static long count;
public static long getCount() {
return count;
}
public static void incrementCount() {
count++;
}
}
public class Demo {
public static void main(String[] args) throws InterruptedException {
long count = Counter.getCount();
System.out.println(count);
// 0
for (int i = 0; i < 10000; i++) {
try {
Thread.sleep(1);
} catch (InterruptedException e) {
e.printStackTrace();
}
Counter.incrementCount();
}
count = Counter.getCount();
System.out.println(count);
// 10000
}
}
use multithreading
The value of the counter is modified by a single thread, and the running speed is improved, but the running result is inconsistent every time, and the result is not 10000
package com.example;
import java.util.ArrayList;
import java.util.List;
/**
* 计数器
*/
class Counter {
private static long count;
public static long getCount() {
return count;
}
public static void incrementCount() {
count++;
}
}
public class Demo {
public static void main(String[] args) throws InterruptedException {
long count = Counter.getCount();
System.out.println(count);
// 0
List<Thread> list = new ArrayList<>();
// 启动10000个线程同时访问计数器
for (int i = 0; i < 10000; i++) {
Thread thread = new Thread(new Runnable() {
@Override
public void run() {
try {
Thread.sleep(1);
} catch (InterruptedException e) {
e.printStackTrace();
}
Counter.incrementCount();
}
});
list.add(thread);
}
for (Thread thread : list) {
thread.start();
}
for (Thread thread : list) {
thread.join();
}
count = Counter.getCount();
System.out.println(count);
}
}
Results of the
第一次:9910
第二次:9912
第三次:9910
Use multithreading + synchronized
After multi-thread locking, the final result is 10000
package com.example;
import java.util.ArrayList;
import java.util.List;
/**
* 计数器
*/
class Counter {
private static long count;
public static long getCount() {
return count;
}
public static synchronized void incrementCount() {
count++;
}
}
public class Demo {
public static void main(String[] args) throws InterruptedException {
long count = Counter.getCount();
System.out.println(count);
// 0
List<Thread> list = new ArrayList<>();
// 启动10000个线程同时访问计数器
for (int i = 0; i < 10000; i++) {
Thread thread = new Thread(new Runnable() {
@Override
public void run() {
try {
Thread.sleep(1);
} catch (InterruptedException e) {
e.printStackTrace();
}
Counter.incrementCount();
}
});
list.add(thread);
}
for (Thread thread : list) {
thread.start();
}
for (Thread thread : list) {
thread.join();
}
count = Counter.getCount();
System.out.println(count);
}
}
Results of the
第一次:10000
第二次:10000
第三次:10000
Use multithreading + atomic class AtomicLong
The atomic class AtomicLong is used to implement the counter in multithreading, and the final result is 10000
The principle is CAS
(Compare and Set):
- First compare the original value and the expected value, and if they are equal, modify it to the new value;
- If not equal, the modification fails
The pseudo code is as follows
bool compareAndSet(oldValue, expectValue, updateValue){
if(oldValue == expectValue){
oldValue = updateValue
// update success
} else{
// update fail
}
}
package com.example;
import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.atomic.AtomicLong;
/**
* 计数器
*/
class Counter {
private static AtomicLong count = new AtomicLong(0);
public static long getCount() {
return count.get();
}
public static void incrementCount() {
count.incrementAndGet();
}
}
public class Demo {
public static void main(String[] args) throws InterruptedException {
long count = Counter.getCount();
System.out.println(count);
// 0
List<Thread> list = new ArrayList<>();
// 启动10000个线程同时访问计数器
for (int i = 0; i < 10000; i++) {
Thread thread = new Thread(new Runnable() {
@Override
public void run() {
try {
Thread.sleep(1);
} catch (InterruptedException e) {
e.printStackTrace();
}
Counter.incrementCount();
}
});
list.add(thread);
}
for (Thread thread : list) {
thread.start();
}
for (Thread thread : list) {
thread.join();
}
count = Counter.getCount();
System.out.println(count);
}
}
Results of the
第一次:10000
第二次:10000
第三次:10000
reference