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zookeeper适用场景:分布式锁实现
问题导读:
1.zookeeper如何实现分布式锁?
2.什么是羊群效应?
3.zookeeper如何释放锁?
在zookeeper应用场景有关于分布式集群配置文件同步问题的描述,设想一下如果有100台机器同时对同一台机器上某个文件进行修改,如何才能保证文本不会被写乱,这就是最简单的分布式锁,本文介绍利用zk实现分布式锁。下面是写锁的实现步骤
分布式写锁
create一个PERSISTENT类型的znode,/Locks/write_lock
- 客户端创建SEQUENCE|EPHEMERAL类型的znode,名字是lockid开头,创建的znode是/Locks/write_lock/lockid0000000001
- 调用getChildren()不要设置Watcher获取/Locks/write_lock下的znode列表
- 判断自己步骤2创建znode是不是znode列表中最小的一个,如果是就代表获得了锁,如果不是往下走
- 调用exists()判断步骤2自己创建的节点编号小1的znode节点(也就是获取的znode节点列表中最小的znode),并且设置Watcher,如果exists()返回false,执行步骤3
- 如果exists()返回true,那么等待zk通知,从而在回掉函数里返回执行步骤3
释放锁就是删除znode节点或者断开连接就行
*注意:上面步骤2中getChildren()不设置Watcher的原因是,防止羊群效应,如果getChildren()设置了Watcher,那么集群一抖动都会收到通知。在整个分布式锁的竞争过程中,大量重复运行,并且绝大多数的运行结果都是判断出自己并非是序号最小的节点,从而继续等待下一次通知—,这个显然看起来不怎么科学。客户端无端的接受到过多的和自己不相关的事件通知,这如果在集群规模大的时候,会对Server造成很大的性能影响,并且如果一旦同一时间有多个节点的客户端断开连接,这个时候,服务器就会像其余客户端发送大量的事件通知——这就是所谓的羊群效应。
下面是代码实现
import sysclass GJZookeeper(object): ZK_HOST = "localhost:2181" ROOT = "/Locks" WORKERS_PATH = join(ROOT,"write_lock") MASTERS_NUM = 1 TIMEOUT = 10000 def __init__(self, verbose = True): self.VERBOSE = verbose self.masters = [] self.is_master = False self.path = None self.zk = ZKClient(self.ZK_HOST, timeout = self.TIMEOUT) self.say("login ok!") # init self.__init_zk() # register self.register() def __init_zk(self): """ create the zookeeper node if not exist |--Locks |--write_lock """ nodes = (self.ROOT, self.WORKERS_PATH) for node in nodes: if not self.zk.exists(node): try: self.zk.create(node, "") except: pass def register(self): """ register a node for this worker |--Locks |--write_lock |--lockid000000000x ==> hostname """ import socket hostname = socket.gethostname() self.path = self.zk.create(self.WORKERS_PATH + "/lockid", hostname, flags=zookeeper.EPHEMERAL | zookeeper.SEQUENCE) self.lockid = basename(self.path) self.say("register ok! I‘m %s" % self.path) # check who is the master self.get_lock() def get_lock(self): """ get children znode try to get lock """ @watchmethod def watcher(event): self.say("child changed, try to get lock again.") self.get_lock() children = self.zk.get_children(self.WORKERS_PATH) children.sort() min_lock_id = children[0] self.say("%s‘s children: %s" % (self.WORKERS_PATH, children)) if cmp(self.lockid,min_lock_id) == 0: self.get_lock_success() return True elif cmp(self.lockid,min_lock_id) > 0: index = children.index(self.lockid) new_lockid_watch = join(self.WORKERS_PATH,children[index-1]) self.say("Add watch on %s"%new_lockid_watch) res = self.zk.exists(new_lockid_watch,watcher) if not res : """代表没有存在之前小的锁,但是这并不意味着能拿到锁了,因为还可能有比当前还小的锁,还没轮到,要重新执行一遍"""# self.get_lock_success() return False else : """现在的锁有人在使用,等他释放了再抢""" self.say("I can not get the lock this time,wait for the next time") return False def get_lock_success(self): self.say("I get the lock !!!") self.write_file() self.zk.delete(join(self.WORKERS_PATH,self.lockid)) self.say("I release the lock !!!") sys.exit(1) def write_file(self): fd = open("lock.log",‘a‘) fd.write("%s\n"%self.lockid) fd.close() def say(self, msg): """ print messages to screen """ if self.VERBOSE: if self.path: log.info("[ %s(%s) ] %s" % (self.path, "master" if self.is_master else "slave", msg)) else: log.info(msg)def start_get_lock(): gj_zookeeper = GJZookeeper()def main(): th1 = threading.Thread(target = start_get_lock, name = "thread_1", args = ()) th1.start() th1.join() if __name__ == "__main__": main() time.sleep(1000)
文章转自:http://www.aboutyun.com/forum.php?mod=viewthread&tid=9267&ctid=16
zookeeper适用场景:分布式锁实现
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