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                # 源碼 /** * @author :Yijs * @date :Created in 2019/4/23 14:35 * @description:${description * @version : $version */ public static class SnowflakeIdUtil { /** * 獲取隨機UUID * * @return 隨機UUID */ public static String randomUUID() { return UUID.randomUUID().toString(); } /** * 簡化的UUID,去掉了橫線 * * @return 簡化的UUID,去掉了橫線 */ public static String simpleUUID() { return UUID.randomUUID().toString(true); } /** * 獲取隨機UUID,使用性能更好的ThreadLocalRandom生成UUID * * @return 隨機UUID * @since 4.1.19 */ public static String fastUUID() { return UUID.fastUUID().toString(); } /** * 簡化的UUID,去掉了橫線,使用性能更好的ThreadLocalRandom生成UUID * * @return 簡化的UUID,去掉了橫線 * @since 4.1.19 */ public static String fastSimpleUUID() { return UUID.fastUUID().toString(true); } /** * 創建MongoDB ID生成策略實現<br> * ObjectId由以下幾部分組成: * * <pre> * 1. Time 時間戳。 2. Machine 所在主機的唯一標識符,一般是機器主機名的散列值。 3. PID 進程ID。確保同一機器中不沖突 4. INC 自增計數器。確保同一秒內產生objectId的唯一性。 * </pre> * * 參考:http://blog.csdn.net/qxc1281/article/details/54021882 * * @return ObjectId */ public static String objectId() { return ObjectId.next(); } /** * 創建Twitter的Snowflake 算法<br> * 分布式系統中,有一些需要使用全局唯一ID的場景,有些時候我們希望能使用一種簡單一些的ID,并且希望ID能夠按照時間有序生成。 * <p> * snowflake的結構如下(每部分用-分開):<br> * * <pre> * 0 - 0000000000 0000000000 0000000000 0000000000 0 - 00000 - 00000 - 000000000000 * </pre> * * 第一位為未使用,接下來的41位為毫秒級時間(41位的長度可以使用69年)<br> * 然后是5位datacenterId和5位workerId(10位的長度最多支持部署1024個節點)<br> * 最后12位是毫秒內的計數(12位的計數順序號支持每個節點每毫秒產生4096個ID序號) * <p> * 參考:http://www.cnblogs.com/relucent/p/4955340.html * * @param workerId 終端ID * @param datacenterId 數據中心ID * @return {@link Snowflake} */ public static FgbpSnowflakeUtil createSnowflake(long workerId, long datacenterId) { return new FgbpSnowflakeUtil(workerId, datacenterId); } } /** * Twitter的Snowflake 算法<br> * 分布式系統中,有一些需要使用全局唯一ID的場景,有些時候我們希望能使用一種簡單一些的ID,并且希望ID能夠按照時間有序生成。 * <p> * snowflake的結構如下(每部分用-分開):<br> * * <pre> * 0 - 0000000000 0000000000 0000000000 0000000000 0 - 00000 - 00000 - 000000000000 * </pre> * * 第一位為未使用,接下來的41位為毫秒級時間(41位的長度可以使用69年)<br> * 然后是5位datacenterId和5位workerId(10位的長度最多支持部署1024個節點)<br> * 最后12位是毫秒內的計數(12位的計數順序號支持每個節點每毫秒產生4096個ID序號) * 并且可以通過生成的id反推出生成時間,datacenterId和workerId * <p> * 參考:http://www.cnblogs.com/relucent/p/4955340.html * * @author Looly * @since 3.0.1 */ public static class FgbpSnowflakeUtil { /** * 根據Snowflake的ID,獲取機器id * * @param id snowflake算法生成的id * @return 所屬機器的id */ public long getWorkerId(long id) { return id >> workerIdShift & ~(-1L << workerIdBits); } /** * 根據Snowflake的ID,獲取數據中心id * * @param id snowflake算法生成的id * @return 所屬數據中心 */ public long getDataCenterId(long id) { return id >> datacenterIdShift & ~(-1L << datacenterIdBits); } /** * 根據Snowflake的ID,獲取生成時間 * * @param id snowflake算法生成的id * @return 生成的時間 */ public long getGenerateDateTime(long id) { return (id >> timestampLeftShift & ~(-1L << 41L)) + twepoch; } private final long twepoch = 1288834974657L; private final long workerIdBits = 2L; private final long datacenterIdBits = 2L; private final long maxWorkerId = -1L ^ (-1L << workerIdBits); private final long maxDatacenterId = -1L ^ (-1L << datacenterIdBits); private final long sequenceBits = 10L; private final long workerIdShift = sequenceBits; private final long datacenterIdShift = sequenceBits + workerIdBits; private final long timestampLeftShift = sequenceBits + workerIdBits + datacenterIdBits; private final long sequenceMask = -1L ^ (-1L << sequenceBits); private long workerId; private long datacenterId; private long sequence = 0L; private long lastTimestamp = -1L; private boolean useSystemClock; /** * 構造 * * @param workerId 終端ID * @param datacenterId 數據中心ID */ public FgbpSnowflakeUtil(long workerId, long datacenterId) { this(workerId, datacenterId, false); } /** * 構造 * * @param workerId 終端ID * @param datacenterId 數據中心ID * @param isUseSystemClock 是否使用 {@link SystemClock} 獲取當前時間戳 */ public FgbpSnowflakeUtil(long workerId, long datacenterId, boolean isUseSystemClock) { 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)); } this.workerId = workerId; this.datacenterId = datacenterId; this.useSystemClock = isUseSystemClock; } /** * 下一個ID * * @return ID */ public synchronized long nextId() { long timestamp = genTime(); if (timestamp < lastTimestamp) { throw new IllegalStateException(StrUtil .format("Clock moved backwards. Refusing to generate id for {}ms", lastTimestamp - timestamp)); } if (lastTimestamp == timestamp) { sequence = (sequence + 1) & sequenceMask; if (sequence == 0) { timestamp = tilNextMillis(lastTimestamp); } } else { sequence = 0L; } lastTimestamp = timestamp; return ((timestamp - twepoch) << timestampLeftShift) | (datacenterId << datacenterIdShift) | (workerId << workerIdShift) | sequence; } /** * 循環等待下一個時間 * * @param lastTimestamp 上次記錄的時間 * @return 下一個時間 */ private long tilNextMillis(long lastTimestamp) { long timestamp = genTime(); while (timestamp <= lastTimestamp) { timestamp = genTime(); } return timestamp; } /** * 生成時間戳 * * @return 時間戳 */ private long genTime() { return this.useSystemClock ? SystemClock.now() : System.currentTimeMillis(); } }
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