String value = HIGH + timestampString + workerIdString + dataCenterIdString + seqString;
return Long.parseLong(value, 2);
}
private long untilNextMillis(long lastTimestamp) {
long timestamp;
do {
timestamp = System.currentTimeMillis();
} while (timestamp <= lastTimestamp);
return timestamp;
}
private static String leftPadding(String value, int maxLength) {
int diff = maxLength - value.length();
StringBuilder builder = new StringBuilder();
for (int i = 0; i < diff; i++) {
builder.append("0");
}
builder.append(value);
return builder.toString();
}
public static void main(String[] args) {
long epoch = LocalDateTime.of(1970, 1, 1, 0, 0, 0, 0)
.toInstant(ZoneOffset.of("+8")).toEpochMilli();
PrimaryKeyGenerator generator = new SimpleSnowflake(1L, 1L, epoch);
for (int i = 0; i < 5; i++) {
System.out.println(String.format("第%s个生成的ID: %d", i + 1, generator.generate()));
}
}
}
// 某个时辰输入如下
第1个生成的ID: 6698247966366502912
第2个生成的ID: 6698248027448152064
第3个生成的ID: 6698248032162549760
第4个生成的ID: 6698248033076908032
第5个生成的ID: 6698248033827688448
经过字符串拼接的写法虽然运转效率低，但是可读性会比较高，工程化处置后的代码可以在实例化时分直接指定 Worker ID 和 Data Center ID 等值，并且这个简易的 Snowflake 完成没有第三方库依赖，拷贝上去可以直接运转。下面的办法运用字符串拼接看起来比较低端，其实最后那部分的按位或， 可以完全转化为加法 ：
public class Main {
/**
* 2020-08-01 00:00:00
*/
private static final long EPOCH = 1596211200000L;
public static void main(String[] args) {
long workerId = 1L;
long dataCenterId = 1L;
long seq = 4095;
long timestampDiff = System.currentTimeMillis() - EPOCH;
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