一、上文我们已经完成了创建common子模块
接下来我们在里面创建返回实体类
新建 entry包
在包下面创建 Result类 用于控制器返回结果:
public class Result {
/**
* 是否成功
/
private boolean flag;
/*
* 返回码
/
private Integer code;
/*
* 返回信息
/
private String message;
/*
* 返回数据
*/
private Object data;
public Result() {
}
public Result(boolean flag, Integer code, String message) {
this.flag = flag;
this.code = code;
this.message = message;
}
public Result(boolean flag, Integer code, String message, Object data) {
this.flag = flag;
this.code = code;
this.message = message;
this.data = data;
}
public boolean isFlag() {
return flag;
}
public void setFlag(boolean flag) {
this.flag = flag;
}
public Integer getCode() {
return code;
}
public void setCode(Integer code) {
this.code = code;
}
public String getMessage() {
return message;
}
public void setMessage(String message) {
this.message = message;
}
public Object getData() {
return data;
}
public void setData(Object data) {
this.data = data;
}
这里面我们使用很原始的set get 也可以使用lombook 通过注释来完成 实体的一些操作。
接下来创建分页结果类:
public class PageResult <T>{
private Long total;
private List<T> rows;
public PageResult() {
}
public PageResult(Long total, List<T> rows) {
this.total = total;
this.rows = rows;
}
public Long getTotal() {
return total;
}
public void setTotal(Long total) {
this.total = total;
}
public List<T> getRows() {
return rows;
}
public void setRows(List<T> rows) {
this.rows = rows;
}
}
接下来 创建状态码实体类 :
public class StatusCode {
/**
* 成功
/
public static final int OK=20000;
/*
* 失败
/
public static final int ERROR =20001;
/*
* 用户名或密码错误
/
public static final int LOGINERROR =20002;
/*
* 权限不足
/
public static final int ACCESSERROR =20003;
/*
* 远程调用失败
/
public static final int REMOTEERROR =20004;
/*
* 重复操作
/
public static final int REPERROR =20005;
/*
* 验证码过期
*/
public static final int VERIFICATION =20006;
}
接下来我们需要解除一个新的分布式的ID生成器:
在 comnon包下创建 util包
IdWorker 代码如下: 我们直接引用这个代码 直接来使用:
package util;
import java.lang.management.ManagementFactory;
import java.net.InetAddress;
import java.net.NetworkInterface;
/**
<p>名称:IdWorker.java</p>
<p>描述:分布式自增长ID</p>
<pre>
Twitter的 Snowflake JAVA实现方案
</pre>
核心代码为其IdWorker这个类实现,其原理结构如下,我分别用一个0表示一位,用—分割开部分的作用:
1||0---0000000000 0000000000 0000000000 0000000000 0 --- 00000 ---00000 ---000000000000
在上面的字符串中,第一位为未使用(实际上也可作为long的符号位),接下来的41位为毫秒级时间,
然后5位datacenter标识位,5位机器ID(并不算标识符,实际是为线程标识),
然后12位该毫秒内的当前毫秒内的计数,加起来刚好64位,为一个Long型。
这样的好处是,整体上按照时间自增排序,并且整个分布式系统内不会产生ID碰撞(由datacenter和机器ID作区分),
并且效率较高,经测试,snowflake每秒能够产生26万ID左右,完全满足需要。
<p>
64位ID (42(毫秒)+5(机器ID)+5(业务编码)+12(重复累加))
-
@author Polim
/
public class IdWorker {
/*- 时间起始标记点,作为基准,一般取系统的最近时间(一旦确定不能变动)
/
private final static long twepoch = 1288834974657L;
/* - 机器标识位数
/
private final static long workerIdBits = 5L;
/* - 数据中心标识位数
/
private final static long datacenterIdBits = 5L;
/* - 机器ID最大值
/
private final static long maxWorkerId = -1L ^ (-1L << workerIdBits);
/* - 数据中心ID最大值
/
private final static long maxDatacenterId = -1L ^ (-1L << datacenterIdBits);
/* - 毫秒内自增位
/
private final static long sequenceBits = 12L;
/* - 机器ID偏左移12位
/
private final static long workerIdShift = sequenceBits;
/* - 数据中心ID左移17位
/
private final static long datacenterIdShift = sequenceBits + workerIdBits;
/* - 时间毫秒左移22位
*/
private final static long timestampLeftShift = sequenceBits + workerIdBits + datacenterIdBits;
private final static long sequenceMask = -1L ^ (-1L << sequenceBits);
/**- 上次生产id时间戳
/
private static long lastTimestamp = -1L;
/* - 0,并发控制
/
private long sequence = 0L;
/* - 工作机器ID
/
private final long workerId;
/* - 数据标识id部分
*/
private final long datacenterId;
public IdWorker() {
this.datacenterId = getDatacenterId(maxDatacenterId);
this.workerId = getMaxWorkerId(datacenterId, maxWorkerId);
}/**
- @param workerId 工作机器ID
- @param datacenterId 序列号
*/
public IdWorker(long workerId, long datacenterId) {
if (workerId > maxWorkerId || workerId < 0) {
throw new IllegalArgumentException(String.format("worker Id can't be greater than %d or less than 0", maxWorkerId));
}
if (datacenterId > maxDatacenterId || datacenterId < 0) {
throw new IllegalArgumentException(String.format("datacenter Id can't be greater than %d or less than 0", maxDatacenterId));
}
this.workerId = workerId;
this.datacenterId = datacenterId;
}
/**
获取下一个ID
-
@return
*/
public synchronized long nextId() {
long timestamp = timeGen();
if (timestamp < lastTimestamp) {
throw new RuntimeException(String.format("Clock moved backwards. Refusing to generate id for %d milliseconds", lastTimestamp - timestamp));
}if (lastTimestamp == timestamp) {
// 当前毫秒内,则+1
sequence = (sequence + 1) & sequenceMask;
if (sequence == 0) {
// 当前毫秒内计数满了,则等待下一秒
timestamp = tilNextMillis(lastTimestamp);
}
} else {
sequence = 0L;
}
lastTimestamp = timestamp;
// ID偏移组合生成最终的ID,并返回ID
long nextId = ((timestamp - twepoch) << timestampLeftShift)
| (datacenterId << datacenterIdShift)
| (workerId << workerIdShift) | sequence;return nextId;
}
private long tilNextMillis(final long lastTimestamp) {
long timestamp = this.timeGen();
while (timestamp <= lastTimestamp) {
timestamp = this.timeGen();
}
return timestamp;
}private long timeGen() {
return System.currentTimeMillis();
}/**
- <p>
- 获取 maxWorkerId
- </p>
/
protected static long getMaxWorkerId(long datacenterId, long maxWorkerId) {
StringBuffer mpid = new StringBuffer();
mpid.append(datacenterId);
String name = ManagementFactory.getRuntimeMXBean().getName();
if (!name.isEmpty()) {
/
* GET jvmPid
/
mpid.append(name.split("@")[0]);
}
/- MAC + PID 的 hashcode 获取16个低位
*/
return (mpid.toString().hashCode() & 0xffff) % (maxWorkerId + 1);
}
- MAC + PID 的 hashcode 获取16个低位
/**
- <p>
- 数据标识id部分
- </p>
*/
protected static long getDatacenterId(long maxDatacenterId) {
long id = 0L;
try {
InetAddress ip = InetAddress.getLocalHost();
NetworkInterface network = NetworkInterface.getByInetAddress(ip);
if (network == null) {
id = 1L;
} else {
byte[] mac = network.getHardwareAddress();
id = ((0x000000FF & (long) mac[mac.length - 1])
| (0x0000FF00 & (((long) mac[mac.length - 2]) << 8))) >> 6;
id = id % (maxDatacenterId + 1);
}
} catch (Exception e) {
System.out.println(" getDatacenterId: " + e.getMessage());
}
return id;
}
- 时间起始标记点,作为基准,一般取系统的最近时间(一旦确定不能变动)
}