OPai
# GenID -> id: string
// 实现一个相对完整的Snowflake算法
Code
import time
import threading
class SnowflakeGenerator:
def __init__(self, worker_id=0, datacenter_id=0):
self.worker_id = worker_id
self.datacenter_id = datacenter_id
self.sequence = 0
# Epoch is set to Jan 1, 2020 00:00:00 UTC
self.epoch = 1577836800000
# Bit lengths
self.worker_id_bits = 5
self.datacenter_id_bits = 5
self.max_worker_id = -1 ^ (-1 << self.worker_id_bits)
self.max_datacenter_id = -1 ^ (-1 << self.datacenter_id_bits)
self.sequence_bits = 12
# Shifts
self.worker_shift = self.sequence_bits
self.datacenter_shift = self.sequence_bits + self.worker_id_bits
self.timestamp_shift = self.sequence_bits + self.worker_id_bits + self.datacenter_id_bits
self.sequence_mask = -1 ^ (-1 << self.sequence_bits)
self.last_timestamp = -1
self.lock = threading.Lock()
def _current_time(self):
return int(time.time() * 1000)
def _wait_next_millis(self, last_timestamp):
timestamp = self._current_time()
while timestamp <= last_timestamp:
timestamp = self._current_time()
return timestamp
def generate_id(self):
with self.lock:
timestamp = self._current_time()
if timestamp < self.last_timestamp:
raise Exception("Clock moved backwards. Refusing to generate id for {} milliseconds".format(self.last_timestamp - timestamp))
if timestamp == self.last_timestamp:
self.sequence = (self.sequence + 1) & self.sequence_mask
if self.sequence == 0:
timestamp = self._wait_next_millis(self.last_timestamp)
else:
self.sequence = 0
self.last_timestamp = timestamp
return ((timestamp - self.epoch) << self.timestamp_shift) | \
(self.datacenter_id << self.datacenter_shift) | \
(self.worker_id << self.worker_shift) | \
self.sequence
def GenID():
generator = SnowflakeGenerator()
return str(generator.generate_id())