Java模拟并发操作进行服务器压力测试
来源:互联网 发布:生化危机6知乎 编辑:程序博客网 时间:2024/05/21 09:59
import java.io.BufferedReader;
import java.io.IOException;
import java.io.InputStreamReader;
import java.io.PrintWriter;
import java.net.HttpURLConnection;
import java.net.URL;
import java.net.URLConnection;
import java.util.Map;
import java.util.Random;
import java.util.TreeMap;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.ThreadPoolExecutor;
import org.json.JSONArray;
import org.json.JSONObject;
import com.ibm.icu.text.NumberFormat;
public class MultiThreadProxyHubApiTest {
static int count = 0;
//总访问量是client_num,并发量是thread_num
int thread_num = 10;
int client_num = 1000;
float avg_exec_time = 0;
float sum_exec_time = 0;
long first_exec_time = Long.MAX_VALUE;
long last_done_time = Long.MIN_VALUE;
float total_exec_time = 0;
String url = "";
String postData = "";
public MultiThreadProxyHubApiTest(int thread_num, int client_num, String url, String postData){
this.thread_num = thread_num;
this.client_num = client_num;
this.url = url;
this.postData = postData;
}
public void run() {
final MultiThreadProxyHubApiTest currentObj = this;
final ConcurrentHashMap<Integer, ThreadRecord> records = new ConcurrentHashMap<Integer, ThreadRecord>();
// 建立ExecutorService线程池
ExecutorService exec = Executors.newFixedThreadPool(thread_num);
// thread_num个线程可以同时访问
// 模拟client_num个客户端访问
final CountDownLatch doneSignal = new CountDownLatch(client_num);
for (int i = 0; i < client_num; i++) {
Runnable run = new Runnable() {
public void run() {
int index = getIndex();
long st = System.currentTimeMillis();
try {
//这里引用一些开源包,看者可自行修改
URLConnection urlconn = ConnectionManager.openUrlConnection(currentObj.url, currentObj.postData);
//HttpURLConnection urlconn = ConnectionManager.openUrlConnection(currentObj.url, currentObj.postData);
//URLConnection =new URLConnection();
urlconn.setReadTimeout(50000);
BufferedReader reader = new BufferedReader(new InputStreamReader(urlconn.getInputStream(),"UTF-8"));
String src = "";
String line = null;
while ((line = reader.readLine()) != null) {
src = src + line;
}
//System.out.println(src);
} catch (Exception e) {
e.printStackTrace();
}
records.put(index, new ThreadRecord(st, System.currentTimeMillis()));
doneSignal.countDown();//每调用一次countDown()方法,计数器减1
}
};
exec.execute(run);
}
try {
//计数器大于0 时,await()方法会阻塞程序继续执行
doneSignal.await();
} catch (InterruptedException e) {
e.printStackTrace();
}
/**
* 获取每个线程的开始时间和结束时间
*/
for(int i : records.keySet()){
ThreadRecord r = records.get(i);
sum_exec_time += ((double)(r.et - r.st))/1000;
if(r.st < first_exec_time){
first_exec_time = r.st;
}
if(r.et > last_done_time){
this.last_done_time = r.et;
}
}
this.avg_exec_time = this.sum_exec_time / records.size();
this.total_exec_time = ((float)(this.last_done_time - this.first_exec_time)) / 1000;
NumberFormat nf=NumberFormat.getNumberInstance();
nf.setMaximumFractionDigits(4);
System.out.println("======================================================");
System.out.println("线程数量: " + thread_num + ", 客户端数量 : "+ client_num +".");
System.out.println("评均执行时间: " + nf.format(this.avg_exec_time) + " s");
System.out.println("总执行时间: " + nf.format(this.total_exec_time) + " s");
System.out.println("流率: " + nf.format(this.client_num /this.total_exec_time)+ " /s");
}
public static int getIndex(){
return ++count;
}
public static void main(String[] args) {
//总访问量和并发量两重循环,依次增大访问
for(int j=500; j<600; j+= 100){
for(int i=10; i<100; i+=10){
//要测试的URL
String url="https://www.zhihu.com/";
new MultiThreadProxyHubApiTest(i, j, url, "").run();
}
}
System.out.println("finished!");
}
}
class ThreadRecord {
long st;
long et;
public ThreadRecord(long st, long et){
this.st = st;
this.et = et;
}
import java.io.IOException;
import java.io.InputStreamReader;
import java.io.PrintWriter;
import java.net.HttpURLConnection;
import java.net.URL;
import java.net.URLConnection;
import java.util.Map;
import java.util.Random;
import java.util.TreeMap;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.ThreadPoolExecutor;
import org.json.JSONArray;
import org.json.JSONObject;
import com.ibm.icu.text.NumberFormat;
public class MultiThreadProxyHubApiTest {
static int count = 0;
//总访问量是client_num,并发量是thread_num
int thread_num = 10;
int client_num = 1000;
float avg_exec_time = 0;
float sum_exec_time = 0;
long first_exec_time = Long.MAX_VALUE;
long last_done_time = Long.MIN_VALUE;
float total_exec_time = 0;
String url = "";
String postData = "";
public MultiThreadProxyHubApiTest(int thread_num, int client_num, String url, String postData){
this.thread_num = thread_num;
this.client_num = client_num;
this.url = url;
this.postData = postData;
}
public void run() {
final MultiThreadProxyHubApiTest currentObj = this;
final ConcurrentHashMap<Integer, ThreadRecord> records = new ConcurrentHashMap<Integer, ThreadRecord>();
// 建立ExecutorService线程池
ExecutorService exec = Executors.newFixedThreadPool(thread_num);
// thread_num个线程可以同时访问
// 模拟client_num个客户端访问
final CountDownLatch doneSignal = new CountDownLatch(client_num);
for (int i = 0; i < client_num; i++) {
Runnable run = new Runnable() {
public void run() {
int index = getIndex();
long st = System.currentTimeMillis();
try {
//这里引用一些开源包,看者可自行修改
URLConnection urlconn = ConnectionManager.openUrlConnection(currentObj.url, currentObj.postData);
//HttpURLConnection urlconn = ConnectionManager.openUrlConnection(currentObj.url, currentObj.postData);
//URLConnection =new URLConnection();
urlconn.setReadTimeout(50000);
BufferedReader reader = new BufferedReader(new InputStreamReader(urlconn.getInputStream(),"UTF-8"));
String src = "";
String line = null;
while ((line = reader.readLine()) != null) {
src = src + line;
}
//System.out.println(src);
} catch (Exception e) {
e.printStackTrace();
}
records.put(index, new ThreadRecord(st, System.currentTimeMillis()));
doneSignal.countDown();//每调用一次countDown()方法,计数器减1
}
};
exec.execute(run);
}
try {
//计数器大于0 时,await()方法会阻塞程序继续执行
doneSignal.await();
} catch (InterruptedException e) {
e.printStackTrace();
}
/**
* 获取每个线程的开始时间和结束时间
*/
for(int i : records.keySet()){
ThreadRecord r = records.get(i);
sum_exec_time += ((double)(r.et - r.st))/1000;
if(r.st < first_exec_time){
first_exec_time = r.st;
}
if(r.et > last_done_time){
this.last_done_time = r.et;
}
}
this.avg_exec_time = this.sum_exec_time / records.size();
this.total_exec_time = ((float)(this.last_done_time - this.first_exec_time)) / 1000;
NumberFormat nf=NumberFormat.getNumberInstance();
nf.setMaximumFractionDigits(4);
System.out.println("======================================================");
System.out.println("线程数量: " + thread_num + ", 客户端数量 : "+ client_num +".");
System.out.println("评均执行时间: " + nf.format(this.avg_exec_time) + " s");
System.out.println("总执行时间: " + nf.format(this.total_exec_time) + " s");
System.out.println("流率: " + nf.format(this.client_num /this.total_exec_time)+ " /s");
}
public static int getIndex(){
return ++count;
}
public static void main(String[] args) {
//总访问量和并发量两重循环,依次增大访问
for(int j=500; j<600; j+= 100){
for(int i=10; i<100; i+=10){
//要测试的URL
String url="https://www.zhihu.com/";
new MultiThreadProxyHubApiTest(i, j, url, "").run();
}
}
System.out.println("finished!");
}
}
class ThreadRecord {
long st;
long et;
public ThreadRecord(long st, long et){
this.st = st;
this.et = et;
}
}
import java.io.IOException;
import java.net.HttpURLConnection;
import java.net.URL;
import java.net.URLConnection;
public class ConnectionManager {
public static URLConnection openUrlConnection(String url, String postData) throws IOException {
URL realUrl = new URL(url);
URLConnection conn = (HttpURLConnection) realUrl.openConnection();
return conn;
}
}
阅读全文
3 0
- Java模拟并发操作进行服务器压力测试
- Java模拟并发操作进行服务器压力测试
- java模拟并发操作进行压力测试
- java模拟并发操作进行压力测试
- Java模拟并发操作进行压力测试代码
- Java模拟并发操作进行压力测试代码
- Java模拟并发操作进行压力测试代码
- Java 模拟并发操作压力测试代码
- 单机模拟高并发进行压力测试
- 模拟多用户进行压力测试
- PHP多进程模拟多客户端并发访问远程mysql数据库进行网络压力测试
- PHP多进程模拟多客户端并发访问远程mysql数据库进行网络压力测试
- 用jmeter进行多用户并发压力测试
- 使用Apache Jmeter进行并发压力测试
- JMeter 之TCP服务器并发压力测试
- webbench进行web服务器压力测试思路
- 使用jmeter进行App服务器压力测试
- java模拟并发操作
- 详解第三方支付之支付清算体系(上)
- 胜利大逃亡
- 计算机图形学 学习笔记(十一):曲线曲面(三):B样条 曲线与曲面
- Chrome开发者工具详解(2)-Network面板
- java单例模式中构造器私有引发的一些思考
- Java模拟并发操作进行服务器压力测试
- Codeforces Gym 101174 D. Dinner Bet (期望 + DP)
- javascript基础(2)
- Tooltip学习简单记录
- UVA 11988
- neo4j 基本语法笔记(全)
- 【脚本语言系列】关于Python基础知识映射器和过滤器,你需要知道的事
- 洛谷 P1402 酒店之王
- rpmbuild