import java.io.BufferedReader;
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import java.io.File;
import java.io.FileInputStream;
import java.io.InputStreamReader;
import java.io.PrintWriter;
import java.net.HttpURLConnection;
import java.net.URL;
import java.util.HashMap;
import java.util.Map;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.Semaphore;
public class ConcurrentTest {
private static int thread_num = 200;
private static int client_num = 460;
private static Map keywordMap = new HashMap();
static {
try {
InputStreamReader isr = new InputStreamReader(new FileInputStream(
new File("clicks.txt")), "GBK");
BufferedReader buffer = new BufferedReader(isr);
String line = "";
while ((line = buffer.readLine()) != null) {
keywordMap.put(line.substring(0, line.lastIndexOf(":")), "");
}
} catch (Exception e) {
e.printStackTrace();
}
}
public static void main(String[] args) {
int size = keywordMap.size();
// TODO Auto-generated method stub
ExecutorService exec = Executors.newCachedThreadPool();
// 50个线程可以同时访问
final Semaphore semp = new Semaphore(thread_num);
// 模拟2000个客户端访问
for (int index = 0; index client_num; index++) {
final int NO = index;
Runnable run = new Runnable() {
public void run() {
try {
// 获取许可
semp.acquire();
System.out.println("Thread:" + NO);
String host = "?";
String para = "method=getQueryResultpageNum=1pageSize=5"
+ "queryKeyWord="
+ getRandomSearchKey(NO)
+ "questionID=-1questionIdPath=-1searchType=1"
+ "proLine=proSeries=proType=" + NO;
System.out.println(host + para);
URL url = new URL(host);// 此处填写供测试的url
HttpURLConnection connection = (HttpURLConnection) url
.openConnection();
// connection.setRequestMethod("POST");
// connection.setRequestProperty("Proxy-Connection",
// "Keep-Alive");
connection.setDoOutput(true);
connection.setDoInput(true);
PrintWriter out = new PrintWriter(connection
.getOutputStream());
out.print(para);
out.flush();
out.close();
BufferedReader in = new BufferedReader(
new InputStreamReader(connection
.getInputStream()));
String line = "";
String result = "";
while ((line = in.readLine()) != null) {
result += line;
}
// System.out.println(result);
// Thread.sleep((long) (Math.random()) * 1000);
// 释放
System.out.println("第:" + NO + " 个");
semp.release();
} catch (Exception e) {
e.printStackTrace();
}
}
};
exec.execute(run);
}
// 退出线程池
exec.shutdown();
}
private static String getRandomSearchKey(final int no) {
String ret = "";
int size = keywordMap.size();
// int wanna = (int) (Math.random()) * (size - 1);
ret = (keywordMap.entrySet().toArray())[no].toString();
ret = ret.substring(0, ret.lastIndexOf("="));
System.out.println("\t" + ret);
return ret;
}
}
经典的自然是loadrunner,可以进行并发压力测试,很实用,可以模拟多IP,多用户同时运行,可以设置运行间隔,可以参考下相关的文档,建议去csdn上下一个相关的教程
选我吧。。绝对短小精悍!
思路:
压力测试原理有两种,一种是连接测试,一种是负载测试
1,连接测试,就是多线程,不停的请求直到服务器死机或达到预期效果即可!
2,负载测试,就是一个线程的多步操作,每个线程占用服务器cpu 内存是否符合节能高效的标准,如果不是,那就优化吧
所有测试以额定用户(最大用户)为基础
使用loadrunner,进行压力测试,有比较详细的测试结果,
就是配置和使用loadrunner比较麻烦,不过网上有详细的教程,去下载一个吧,
自己写循环去测试,极不准确