第四章秒杀压测

目录

第四章秒杀压测

1.SpringBoot打包

1.1SpringBoot打jar包

1.2SpringBoot打war包

2.JMeter

2.1Windows下使用

2.2命令行下使用

3.自定义变量模式多用户

4.Redis压测工具redis-benchmark

综述

1.SpringBoot打包

1.1SpringBoot打jar包

注意把packaging标签改为jar,此标签也可不写，springboot默认打包方式为jar。

<groupId>com.example</groupId>
<artifactId>springboot-upload</artifactId>
<version>0.0.1-SNAPSHOT</version>
<packaging>jar</packaging>
//注意把packaging标签改为jar,此标签也可不写，默认打包方式为jar。<build><plugins><plugin><groupId>org.springframework.boot</groupId><artifactId>spring-boot-maven-plugin</artifactId><configuration><fork>true</fork></configuration></plugin></plugins>
</build>

使用idea打包： 在IDEA右侧Maven Projects栏双击package等待Build Success即可

使用命令行打包： 

a.黑窗口cd到根目录(和pom.xml、target同级)，也可在idea工具中选择Terminal

  b.执行打包命令 mvn clean package (跳过测试类命令 mvn clean package -Dmaven.test.skip=true)

c.打包成功结果如下

运行jar包

java -jar jar包的名字.jar

1.2SpringBoot打war包

pom.xml中把jar改成war，并且添加外置tomcat依赖

<packaging>war</packaging><!--打包时排除tomcat-->
<dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-tomcat</artifactId><scope>provided</scope>
</dependency>

在这里将 scope属性设置为provided，这样在最终形成的 WAR 中不会包含这个JAR包，因为Tomcat或Jetty等服务器在运行时将会提供相关的API类。

在入口类中继承SpringBootServletInitializer并重写configure方法

@SpringBootApplication
public class SpringbootUploadApplication extends SpringBootServletInitializer {public static void main(String[] args) {SpringApplication.run(SpringbootUploadApplication.class, args);}@Overrideprotected SpringApplicationBuilder configure(SpringApplicationBuilder builder){return builder.sources(SpringbootUploadApplication.class);}
}

输入命令 mvn clean package打包，把target目录下生成的war放到tomcat的webapps目录下即可。

运行tomcat就可以访问了

2.JMeter

2.1Windows下使用

基本结构有一个线程组包含：HTTP请求，HTTP请求默认值，CSV数据文件设置，聚合报告等。我们接下来说一下常用的操作。

线程组：可以设置线程数和循环次数

HTTP请求默认值：常用于设置域名或ip、端口号、协议，还可以添加参数

聚合报告：会显示吞吐率也就是我们常说的QPS

CSV数据文件设置：从文件中读取数据

数据文件如图

而对应改变的就是http请求的参数

2.2命令行下使用

1.在windows下录制好jmx，上传(设置好所用请求和参数)

2.命令行：sh jmeter.sh -n -t XXX.jmx -l result.jtl

3.把result.jtl导入jmeter

3.自定义变量模式多用户

public class UserUtil {private static void createUser(int count) throws Exception{List<MiaoshaUser> users = new ArrayList<MiaoshaUser>(count);//生成用户for(int i=0;i<count;i++) {MiaoshaUser user = new MiaoshaUser();user.setId(13000000000L+i);user.setLoginCount(1);user.setNickname("user"+i);user.setRegisterDate(new Date());user.setSalt("1a2b3c");user.setPassword(MD5Util.inputPassToDbPass("123456", user.getSalt()));users.add(user);}System.out.println("create user");//插入数据库Connection conn = DBUtil.getConn();String sql = "insert into miaosha_user(login_count, nickname, register_date, salt, password, id)values(?,?,?,?,?,?)";PreparedStatement pstmt = conn.prepareStatement(sql);for(int i=0;i<users.size();i++) {MiaoshaUser user = users.get(i);pstmt.setInt(1, user.getLoginCount());pstmt.setString(2, user.getNickname());pstmt.setTimestamp(3, new Timestamp(user.getRegisterDate().getTime()));pstmt.setString(4, user.getSalt());pstmt.setString(5, user.getPassword());pstmt.setLong(6, user.getId());pstmt.addBatch();}pstmt.executeBatch();pstmt.close();conn.close();System.out.println("insert to db");//登录，生成tokenString urlString = "http://localhost:8080/login/do_login";File file = new File("D:/tokens.txt");if(file.exists()) {file.delete();}//RandomAccessFileRandomAccessFile raf = new RandomAccessFile(file, "rw");file.createNewFile();raf.seek(0);for(int i=0;i<users.size();i++) {MiaoshaUser user = users.get(i);URL url = new URL(urlString);//HttpURLConnectionHttpURLConnection co = (HttpURLConnection)url.openConnection();co.setRequestMethod("POST");co.setDoOutput(true);OutputStream out = co.getOutputStream();String params = "mobile="+user.getId()+"&password="+MD5Util.inputPassToFormPass("123456")+"&ifyzm=2";out.write(params.getBytes());out.flush();InputStream inputStream = co.getInputStream();ByteArrayOutputStream bout = new ByteArrayOutputStream();byte buff[] = new byte[1024];int len = 0;while((len = inputStream.read(buff)) >= 0) {bout.write(buff, 0 ,len);}inputStream.close();bout.close();String response = new String(bout.toByteArray());System.out.println(response);JSONObject jo = JSON.parseObject(response);String token = jo.getString("data");System.out.println("create token : " + user.getId());String row = user.getId()+","+token;raf.seek(raf.length());raf.write(row.getBytes());raf.write("\r\n".getBytes());System.out.println("write to file : " + user.getId());}raf.close();System.out.println("over");}public static void main(String[] args)throws Exception {createUser(5000);}
}

4.Redis压测工具redis-benchmark

Redis 自带了一个叫 redis-benchmark 的工具来模拟 N 个客户端同时发出 M 个请求。 你可以使用 redis-benchmark -h 来查看基准参数。

以下参数被支持：Usage: redis-benchmark [-h <host>] [-p <port>] [-c <clients>] [-n <requests]> [-k <boolean>]-h <hostname>      Server hostname (default 127.0.0.1)-p <port>          Server port (default 6379)-s <socket>        Server socket (overrides host and port)-a <password>      Password for Redis Auth-c <clients>       Number of parallel connections (default 50)-n <requests>      Total number of requests (default 100000)-d <size>          Data size of SET/GET value in bytes (default 2)-dbnum <db>        SELECT the specified db number (default 0)-k <boolean>       1=keep alive 0=reconnect (default 1)-r <keyspacelen>   Use random keys for SET/GET/INCR, random values for SADDUsing this option the benchmark will expand the string __rand_int__inside an argument with a 12 digits number in the specified rangefrom 0 to keyspacelen-1. The substitution changes every time a commandis executed. Default tests use this to hit random keys in thespecified range.-P <numreq>        Pipeline <numreq> requests. Default 1 (no pipeline).-q                 Quiet. Just show query/sec values--csv              Output in CSV format-l                 Loop. Run the tests forever-t <tests>         Only run the comma separated list of tests. The testnames are the same as the ones produced as output.-I                 Idle mode. Just open N idle connections and wait.

1.redis-benchmark -h 127.0.0.1 -p 6379 -c 100 -n 100000

向127.0.0.1的6379端口，100个并发连接，100000个请求

2.redis-benchmark -h 127.0.0.1 -p 6379 -q -d 100

存取大小为100字节的数据包

3.redis-benchmark -t set,lpush  -q -n 100000

只测试部分操作

4.redis-benchmark -n 100000 -q script load "redis.call('set','foo','bar')" 

只测试某些数值存取的性能

综述

这一章节我们了解了JMeter,我们使用JMeter测试发现在目前，接口性能较差，QPS较低。我们使用redis-benchmark发现，redis的性能比数据库更加快速，说以，我们下一章节将对性能方面进行优化