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在python中使用zookeeper管理你的应用集群

时间:2014-06-26 18:43:35      阅读:281      评论:0      收藏:0      [点我收藏+]

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http://www.zlovezl.cn/articles/40/

简介:

  Zookeeper 分布式服务框架是 Apache Hadoop 的一个子项目,它主要是用来解决分布式应用中经常遇到的一些数据管理问题,如:统一命名服务、状态同步服务、集群管理、分布式应用配置项的管理等。

具体简介可以参照这篇文章

zkpython的安装:

python中有一个zkpython的包,是基于zookeeper的c-client开发的,所以安装的时候需要先安装zookeeper的c客户端。安装步骤如下:

# 首先下载zookeeper
wget http://labs.renren.com/apache-mirror//zookeeper/zookeeper-3.3.3/zookeeper-3.3.3.tar.gz
tar xzvf zookeeper-3.3.3.tar.gz
cd zookeeper-3.3.3/src/c/
./configure
make
make install

# 然后下载zkpython
wget http://pypi.python.org/packages/source/z/zkpython/zkpython-0.4.tar.gz#md5=3de220615aaddf57f1462b78d32477f9
tar xzvf zkpython-0.4.tar.gz
cd zkpython-0.4
python setup.py install

这样就完成了zkpython的安装。

一个简单的demo:

之后让我们来写一个简单的demo吧。(demo中用到的zkclient.py:https://github.com/piglei/zkpython_example/blob/master/zkclient.py

# coding: utf-8
import logging
from os.path import basename, join

from zkclient import ZKClient, zookeeper, watchmethod

logging.basicConfig(
    level = logging.DEBUG,
    format = "[%(asctime)s] %(levelname)-8s %(message)s"
)

log = logging

class GJZookeeper(object):

    ZK_HOST = "localhost:2181"
    ROOT = "/app"
    WORKERS_PATH = join(ROOT, "workers")
    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
        """
        nodes = (self.ROOT, self.WORKERS_PATH)
        for node in nodes: 
            if not self.zk.exists(node):
                try:
                    self.zk.create(node, "")
                except:
                    pass

    @property
    def is_slave(self):
        return not self.is_master

    def register(self):
        """
        register a node for this worker
        """
        self.path = self.zk.create(self.WORKERS_PATH + "/worker", "1", flags=zookeeper.EPHEMERAL | zookeeper.SEQUENCE)
        self.path = basename(self.path)
        self.say("register ok! I‘m %s" % self.path)
        # check who is the master
        self.get_master()

    def get_master(self):
        """
        get children, and check who is the smallest child
        """
        @watchmethod
        def watcher(event):
            self.say("child changed, try to get master again.")
            self.get_master()

        children = self.zk.get_children(self.WORKERS_PATH, watcher)
        children.sort()
        self.say("%s‘s children: %s" % (self.WORKERS_PATH, children)) 

        # check if I‘m master
        self.masters = children[:self.MASTERS_NUM]
        if self.path in self.masters:
            self.is_master = True
            self.say("I‘ve become master!")
        else:
            self.say("%s is masters, I‘m slave" % self.masters)


    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 main():
    gj_zookeeper = GJZookeeper()

if __name__ == "__main__":
    main()
    import time
    time.sleep(1000)

  这个简单的demo所做的事情,就是通过在zookeeper的/app/workers节点下建立临时的子节点( flags=zookeeper.EPHEMERAL | zookeeper.SEQUENCE ),每次create完成之后检查自己是不是在最小的MASTERS_NUM(例子中为1,即单master)里。如果是的话,作为master运行,否则的话,作为slave运行。

  这样的话,当我们的master挂掉以后,与zookeeper之间的连接也会中断,过了指定的TIMEOUT以后,master之前在worker下的子节点就会被删除,于是slave节点之前设置的watcher会被触发,再次检查自己是否为master,如果是的话则完成切换。

demo运行结果:

# 第一个实例
Connected in 20 ms, handle is 0
[2011-09-09 12:40:43,702] INFO     login ok!
Node /app/workers/worker created in 4 ms
[2011-09-09 12:40:43,708] INFO     [ worker0000000022(slave) ] register ok! I‘m worker0000000022
[2011-09-09 12:40:43,709] INFO     [ worker0000000022(slave) ] /app/workers‘s children: [‘worker0000000022‘]
[2011-09-09 12:40:43,709] INFO     [ worker0000000022(master) ] I‘ve become master!

# 这时再起第二个实例
Connected in 64 ms, handle is 0
[2011-09-09 12:43:08,334] INFO     login ok!
Node /app/workers/worker created in 11 ms
[2011-09-09 12:43:08,346] INFO     [ worker0000000023(slave) ] register ok! I‘m worker0000000023
[2011-09-09 12:43:08,347] INFO     [ worker0000000023(slave) ] /app/workers‘s children: [‘worker0000000022‘, ‘worker0000000023‘]
[2011-09-09 12:43:08,347] INFO     [ worker0000000023(slave) ] [‘worker0000000022‘] is masters, I‘m slave

# 杀掉master,第二个实例发生的变化
[2011-09-09 12:44:06,016] INFO     [ worker0000000023(slave) ] child changed, try to get master again.
[2011-09-09 12:44:06,017] INFO     [ worker0000000023(slave) ] /app/workers‘s children: [‘worker0000000023‘]
[2011-09-09 12:44:06,017] INFO     [ worker0000000023(master) ] I‘ve become master!

 

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在python中使用zookeeper管理你的应用集群

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原文地址:http://www.cnblogs.com/DjangoBlog/p/3808543.html

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