线程模拟用户和服务器----模拟生成大量埋点日志数据

模拟用户和服务器的埋点日志：

需要在model层写两个分别为用户和服务器的埋点日志信息实体类封装日志信心，以此来快速生成埋点日志。

模拟浏览器的日志信息：

代码如下：

public Events{
	private String eventCateGory; // 行为种类
	private String position;
	private String time;
	private String pageName;
	private String msg;
	
	public Events() {
	}

	public Events(String eventCateGory, String position, String time, String pageName, String msg) {
		this.eventCateGory = eventCateGory;
		this.position = position;
		this.time = time;
		this.pageName = pageName;
		this.msg = msg;
	}

	public String getEventCateGory() {
		return eventCateGory;
	}

	public void setEventCateGory(String eventCateGory) {
		this.eventCateGory = eventCateGory;
	}

	public String getPosition() {
		return position;
	}

	public void setPosition(String position) {
		this.position = position;
	}

	public String getTime() {
		return time;
	}

	public void setTime(String time) {
		this.time = time;
	}

	public String getPageName() {
		return pageName;
	}

	public void setPageName(String pageName) {
		this.pageName = pageName;
	}

	public String getMsg() {
		return msg;
	}

	public void setMsg(String msg) {
		this.msg = msg;
	}
}


public BrowserInfo{
	private String broser;
	private String custid;
	private	Events events;
	
	public BrowserInfo() {}

	public BrowserInfo(String browser, String custid, Events cm) {
		this.browser = browser;
		this.custid = custid;
		this.cm = cm;
	}

	public String getBrowser() {
		return browser;
	}

	public void setBrowser(String browser) {
		this.browser = browser;
	}

	public String getCustid() {
		return custid;
	}

	public void setCustid(String custid) {
		this.custid = custid;
	}

	public Events getCm() {
		return cm;
	}
	

		
}

模拟服务器的日志信息：

模拟服务器的日志的信息我们需要导入log4j和jackson的依赖，在pom.xml导入：

 <!-- https://mvnrepository.com/artifact/log4j/log4j -->
    <dependency>
      <groupId>log4j</groupId>
      <artifactId>log4j</artifactId>
      <version>1.2.17</version>
    </dependency>
    <dependency>
      <groupId>com.fasterxml.jackson.core</groupId>
      <artifactId>jackson-core</artifactId>
      <version>2.9.9</version>
    </dependency>
    <!-- https://mvnrepository.com/artifact/com.fasterxml.jackson.core/jackson-databind -->
    <dependency>
      <groupId>com.fasterxml.jackson.core</groupId>
      <artifactId>jackson-databind</artifactId>
      <version>2.9.9</version>
    </dependency>

在resources文件夹下创建log4j.properties，并将日志信息和格式指定

# 输出debug级--日志级别
log4j.rootLogger=debug,appender1

# 输出到文件--日志目的地--appender追加（默认追加模式）
log4j.appender.appender1=org.apache.log4j.RollingFileAppender
log4j.appender.appender1.File=d:/loginfo/text.log

# 采用是什么样的格式--日志格局--PatternLayout（灵活指定布局模式）
log4j.appender.appender1.layout=org.apache.log4j.PatternLayout

# 日志输出什么样的内容--日志内容
log4j.appender.appender1.layout.ConversionPattern =%r [%t] [%p] %d{yyyy-MM-dd HH:mm:ss} -%c-%l-%m%n

用线程模拟用户的行为：

写出线程类

public class LogService extends Thread{
	private MyStore ms; // 封装制造浏览器和服务器端的日志的具体类 
	
	// 生成线程时，我们需要它的名字和等级还有产生日志的能力
	public LogService(String name, int level, MyStore store) {
		setName(name);
		setPriority(level);
		this.ms = store;
	}
	
	// 重写启动方法，进入同步代码块后
	@Override
	public void run() {
		String name = Thread.currentThread().getName();
		int circle = 300;
		if (name.equalsIgnoreCase("action")) {
			circle = 100000;
		}
		for (int i = 0; i < circle; i++){
			execute(name);
		}
	}
	public void execute(String threadName){
		// 锁住的是ms单例对象资源，当两个线程共同去抢ms时，只有一个能抢到
		synchronized (ms){
			ms.writeLog(threadName);
		}
	}

实现日志产生的资源类：

public class MyStore {
	private static MyStore ms;
	private static Random random = new Random();
	private static SimpleDateFormat sdf = new SimpleDateFormat("yyy-MM-dd hh:mm:ss");
	private static ObjectMapper om  = new ObjectMapper();
	private static Date date;
	private static int tm = 1;
	private static long userid = 10000;
	private static Calendar cal = Calendar.getInstance();
	String[] browsers = {"souhuwyw: version123","wyw1:version124"};
	String[] pageName = {"list.html","index.html"};
	String[] msgs = {"hello0","ccc","huawei"};
	String [] eventName = {"href_click","button_click","txt_input"};
	static {
		cal.set(2000,1,1,0,0,0);
		date = cal.getTime();
	}
	
	// 对资源类设为单例获取
	public static MyStore getMyStore(){
		if (ms == null){
			ms = new MyStore();
		}
		return ms;
	}
	private MyStore(){}


	public void writeLog(String threadName){

		String msg = threadName.equalsIgnoreCase("action") ? makeActionLog() : makeServiceLog();
		RandomAccessFile raf = null;
		try {
			// 赋予文件读写权限
			raf = new RandomAccessFile("/opt/event.log","rw");
			long size = raf.length();
			raf.seek(size);
			raf.writeBytes(msg + "\r\n");

		} catch (Exception e) {
			e.printStackTrace();
		}finally {
			try {
				raf.close();
			} catch (IOException e) {
				e.printStackTrace();
			}
		}
	}

	// 制造服务器日志
	private String makeServiceLog(){
		userid = 10000 + random.nextInt(80000);
		cal.add(Calendar.HOUR,random.nextInt(1000));
		// 第一次转date，第二次转long
		String str = userid + "|event_login|" + cal.getTime().getTime() + "|192.168.56." + random.nextInt(256);
		return str;
	}

	//制造用户行为日志
	private String makeActionLog(){
		int pos = random.nextInt(2);
		Events es = new Events(eventName[random.nextInt(3)],"128 65",
			sdf.format(date),"http://localhost/" + pageName[random.nextInt(2)],msgs[random.nextInt(3)]);
		BrowserInfo bi = new BrowserInfo(browsers[pos],userid + "",es);
		cal.add(Calendar.MINUTE,1);
		date = cal.getTime();
		userid = 10000 + random.nextInt(80000);
		String str = null;
		try {
			str = om.writeValueAsString(bi);
		} catch (JsonProcessingException e) {
			e.printStackTrace();
		}
		return str;
	}
}

产生埋点日志：

APP作为主类，开始生成埋点日志：

public class App {
    public static void main( String[] args ) {
		// 生成单例资源
        MyStore ms = MyStore.getMyStore();
        // 启动线程打印日志
        new LogService("action",10, ms).start();
        new LogService("system",1, ms).start();

    }


}

此方法为将两者数据写到一个文件里，所以需要对资源进行上锁，不然会产生混乱写的现象。
而现实中会写到两个各自不同的文件中，无需考虑上锁，所以上述代码仅为测试，以及加深对线程的操作。

一共产生100300行数据，上述为写入成功的日志信息，为json格式。