Redis7之实现分布式锁
在Redis 7中,可以使用Redlock算法实现分布式锁。以下是一个简单的Python示例,使用redis-py-cluster
库来实现Redlock:
from rediscluster import RedisCluster
import time
import uuid
startup_nodes = [
{"host": "127.0.0.1", "port": "7000"},
{"host": "127.0.0.1", "port": "7001"},
{"host": "127.0.0.1", "port": "7002"},
]
# 连接到Redis集群
rc = RedisCluster(startup_nodes=startup_nodes, decode_responses=True)
def acquire_lock(lock_name, acquire_timeout=10, lock_timeout=10):
identifier = str(uuid.uuid4())
end = time.time() + acquire_timeout
while time.time() < end:
if rc.set(lock_name, identifier, ex=lock_timeout, nx=True):
return identifier
time.sleep(0.001)
return False
def release_lock(lock_name, identifier):
script = """
if redis.call("get", KEYS[1]) == ARGV[1] then
return redis.call("del", KEYS[1])
else
return 0
end
"""
result = rc.eval(script, 1, lock_name, identifier)
return result and int(result) > 0
# 使用分布式锁
lock_name = "my_lock"
identifier = acquire_lock(lock_name)
if identifier:
try:
# 安全操作
print("Lock acquired")
finally:
# 确保释放锁
if release_lock(lock_name, identifier):
print("Lock released")
else:
print("Could not acquire lock")
在这个示例中,我们定义了acquire_lock
函数来尝试获取锁,以及release_lock
函数来释放锁。acquire_lock
函数尝试设置一个带有唯一标识符和锁定超时时间的键。如果成功,它返回标识符;如果在设定的时间内未能获得锁,它返回False
。release_lock
函数使用Lua脚本来确保只有拥有锁的客户端能够正确地释放锁。
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