This commit is contained in:
Looly 2020-02-11 17:13:02 +08:00
parent 0ce06fbd30
commit 7cd260c1ea
2 changed files with 58 additions and 52 deletions

View File

@ -8,6 +8,7 @@
### 新特性
* 【core 】 废弃isMactchRegex改为isMatchRegex方法错别字
* 【core 】 修正hasNull()方法上注释错误issue#I18TAG@Gitee
* 【core 】 Snowflake的起始时间可以被指定pr#95@Gitee
### Bug修复
* 【core 】 CharsetUtil在不支持GBK的系统中运行报错问题issue#731@Github
* 【core 】 RandomUtil的randomEleSet方法顺序不随机的问题pr#741@Github

View File

@ -1,104 +1,108 @@
package cn.hutool.core.lang;
import cn.hutool.core.date.SystemClock;
import cn.hutool.core.util.StrUtil;
import java.io.Serializable;
import java.util.Date;
import cn.hutool.core.date.DateUtil;
import cn.hutool.core.date.SystemClock;
import cn.hutool.core.util.StrUtil;
/**
* Twitter的Snowflake 算法<br>
* 分布式系统中有一些需要使用全局唯一ID的场景有些时候我们希望能使用一种简单一些的ID并且希望ID能够按照时间有序生成
*
*
* <p>
* snowflake的结构如下(每部分用-分开):<br>
*
*
* <pre>
* 0 - 0000000000 0000000000 0000000000 0000000000 0 - 00000 - 00000 - 000000000000
* </pre>
*
* <p>
* 第一位为未使用(符号位表示正数)接下来的41位为毫秒级时间(41位的长度可以使用69年)<br>
* 然后是5位datacenterId和5位workerId(10位的长度最多支持部署1024个节点<br>
* 最后12位是毫秒内的计数12位的计数顺序号支持每个节点每毫秒产生4096个ID序号
*
* <p>
* 并且可以通过生成的id反推出生成时间,datacenterId和workerId
* <p>
* 参考http://www.cnblogs.com/relucent/p/4955340.html
*
*
* @author Looly
* @since 3.0.1
*/
public class Snowflake implements Serializable{
public class Snowflake implements Serializable {
private static final long serialVersionUID = 1L;
// Thu, 04 Nov 2010 01:42:54 GMT
private long twepoch = 1288834974657L;
private final long twepoch;
private final long workerIdBits = 5L;
private final long datacenterIdBits = 5L;
private final long dataCenterIdBits = 5L;
//// 最大支持机器节点数0~31一共32个
private final long maxWorkerId = -1L ^ (-1L << workerIdBits);
// 最大支持数据中心节点数0~31一共32个
private final long maxDatacenterId = -1L ^ (-1L << datacenterIdBits);
@SuppressWarnings({"PointlessBitwiseExpression", "FieldCanBeLocal"})
private final long maxWorkerId = -1L ^ (-1L << workerIdBits);
@SuppressWarnings({"PointlessBitwiseExpression", "FieldCanBeLocal"})
private final long maxDataCenterId = -1L ^ (-1L << dataCenterIdBits);
// 序列号12位
private final long sequenceBits = 12L;
// 机器节点左移12位
private final long workerIdShift = sequenceBits;
// 数据中心节点左移17位
private final long datacenterIdShift = sequenceBits + workerIdBits;
private final long dataCenterIdShift = sequenceBits + workerIdBits;
// 时间毫秒数左移22位
private final long timestampLeftShift = sequenceBits + workerIdBits + datacenterIdBits;
private final long timestampLeftShift = sequenceBits + workerIdBits + dataCenterIdBits;
@SuppressWarnings({"PointlessBitwiseExpression", "FieldCanBeLocal"})
private final long sequenceMask = -1L ^ (-1L << sequenceBits);// 4095
private long workerId;
private long datacenterId;
private long dataCenterId;
private long sequence = 0L;
private long lastTimestamp = -1L;
private boolean useSystemClock;
/**
* 构造
*
* @param workerId 终端ID
* @param datacenterId 数据中心ID
*
* @param workerId 终端ID
* @param dataCenterId 数据中心ID
*/
public Snowflake(long workerId, long datacenterId) {
this(workerId, datacenterId, false);
public Snowflake(long workerId, long dataCenterId) {
this(workerId, dataCenterId, false);
}
/**
* 构造
*
* @param workerId 终端ID
* @param datacenterId 数据中心ID
*
* @param workerId 终端ID
* @param dataCenterId 数据中心ID
* @param isUseSystemClock 是否使用{@link SystemClock} 获取当前时间戳
*/
public Snowflake(long workerId, long datacenterId, boolean isUseSystemClock) {
public Snowflake(long workerId, long dataCenterId, boolean isUseSystemClock) {
this(null, workerId, dataCenterId, isUseSystemClock);
}
/**
* @param epochDate 初始化时间起点null表示默认起始日期,后期修改会导致id重复,如果要修改连workerId dataCenterId慎用
* @param workerId 工作机器节点id
* @param dataCenterId 数据中心id
* @param isUseSystemClock 是否使用{@link SystemClock} 获取当前时间戳
* @since 5.1.3
*/
public Snowflake(Date epochDate, long workerId, long dataCenterId, boolean isUseSystemClock) {
if (null != epochDate) {
this.twepoch = epochDate.getTime();
} else{
// Thu, 04 Nov 2010 01:42:54 GMT
this.twepoch = 1288834974657L;
}
if (workerId > maxWorkerId || workerId < 0) {
throw new IllegalArgumentException(StrUtil.format("worker Id can't be greater than {} or less than 0", maxWorkerId));
}
if (datacenterId > maxDatacenterId || datacenterId < 0) {
throw new IllegalArgumentException(StrUtil.format("datacenter Id can't be greater than {} or less than 0", maxDatacenterId));
if (dataCenterId > maxDataCenterId || dataCenterId < 0) {
throw new IllegalArgumentException(StrUtil.format("datacenter Id can't be greater than {} or less than 0", maxDataCenterId));
}
this.workerId = workerId;
this.datacenterId = datacenterId;
this.dataCenterId = dataCenterId;
this.useSystemClock = isUseSystemClock;
}
/**
*
* @param epochStr 初始化时间起点 后期修改会导致id重复,如果要修改连workerId datacenterId 一起修改 慎用,格式yyyyMMdd
* @param workerId 工作机器节点id
* @param datacenterId 数据中心id
* @param isUseSystemClock 是否使用{@link SystemClock} 获取当前时间戳
*/
public Snowflake(String epochStr, long workerId, long datacenterId, boolean isUseSystemClock) {
this(workerId, datacenterId, isUseSystemClock);
Date d=DateUtil.parse(epochStr, "yyyyMMdd");
long twepoch=d.getTime();
if(twepoch>this.twepoch){
this.twepoch=twepoch;
}
}
/**
* 根据Snowflake的ID获取机器id
*
@ -116,11 +120,11 @@ public class Snowflake implements Serializable{
* @return 所属数据中心
*/
public long getDataCenterId(long id) {
return id >> datacenterIdShift & ~(-1L << datacenterIdBits);
return id >> dataCenterIdShift & ~(-1L << dataCenterIdBits);
}
/**
*根据Snowflake的ID获取生成时间
* 根据Snowflake的ID获取生成时间
*
* @param id snowflake算法生成的id
* @return 生成的时间
@ -131,7 +135,7 @@ public class Snowflake implements Serializable{
/**
* 下一个ID
*
*
* @return ID
*/
public synchronized long nextId() {
@ -151,9 +155,9 @@ public class Snowflake implements Serializable{
lastTimestamp = timestamp;
return ((timestamp - twepoch) << timestampLeftShift) | (datacenterId << datacenterIdShift) | (workerId << workerIdShift) | sequence;
return ((timestamp - twepoch) << timestampLeftShift) | (dataCenterId << dataCenterIdShift) | (workerId << workerIdShift) | sequence;
}
/**
* 下一个ID字符串形式
*
@ -164,9 +168,10 @@ public class Snowflake implements Serializable{
}
// ------------------------------------------------------------------------------------------------------------------------------------ Private method start
/**
* 循环等待下一个时间
*
*
* @param lastTimestamp 上次记录的时间
* @return 下一个时间
*/
@ -180,7 +185,7 @@ public class Snowflake implements Serializable{
/**
* 生成时间戳
*
*
* @return 时间戳
*/
private long genTime() {