一 应用场景描述
在目前公司的业务中，没有太多使用ZooKeeper作为协同服务的场景。但是我们将使用Codis作为Redis的集群部署方案，Codis依赖ZooKeeper来存储配置信息。所以做好ZooKeeper的监控也很重要。
二 ZooKeeper监控要点
系统监控
内存使用量 ZooKeeper应当完全运行在内存中，不能使用到SWAP。Java Heap大小不能超过可用内存。
Swap使用量 使用Swap会降低ZooKeeper的性能，设置vm.swappiness = 0
网络带宽占用 如果发现ZooKeeper性能降低关注下网络带宽占用情况和丢包情况，通常情况下ZooKeeper是20%写入80%读入
磁盘使用量 ZooKeeper数据目录使用情况需要注意
磁盘I/O ZooKeeper的磁盘写入是异步的，所以不会存在很大的I/O请求，如果ZooKeeper和其他I/O密集型服务公用应该关注下磁盘I/O情况
ZooKeeper监控
zk_avg/min/max_latency 响应一个客户端请求的时间，建议这个时间大于10个Tick就报警
zk_outstanding_requests 排队请求的数量，当ZooKeeper超过了它的处理能力时，这个值会增大，建议设置报警阀值为10
zk_packets_received 接收到客户端请求的包数量
zk_packets_sent 发送给客户单的包数量，主要是响应和通知
zk_max_file_descriptor_count 最大允许打开的文件数，由ulimit控制
zk_open_file_descriptor_count 打开文件数量，当这个值大于允许值得85%时报警
Mode 运行的角色，如果没有加入集群就是standalone,加入集群式follower或者leader
zk_followers leader角色才会有这个输出,集合中follower的个数。正常的值应该是集合成员的数量减1
zk_pending_syncs leader角色才会有这个输出，pending syncs的数量
zk_znode_count znodes的数量
zk_watch_count watches的数量
Java Heap Size ZooKeeper Java进程的
# echo ruok|nc 127.0.0.1 2181 imok # echo mntr|nc 127.0.0.1 2181 zk_version 3.4.6-1569965, built on 02/20/2014 09:09 GMT zk_avg_latency 0 zk_max_latency 0 zk_min_latency 0 zk_packets_received 11 zk_packets_sent 10 zk_num_alive_connections 1 zk_outstanding_requests 0 zk_server_state leader zk_znode_count 17159 zk_watch_count 0 zk_ephemerals_count 1 zk_approximate_data_size 6666471 zk_open_file_descriptor_count 29 zk_max_file_descriptor_count 102400 zk_followers 2 zk_synced_followers 2 zk_pending_syncs 0 # echo srvr|nc 127.0.0.1 2181 Zookeeper version: 3.4.6-1569965, built on 02/20/2014 09:09 GMT Latency min/avg/max: 0/0/0 Received: 26 Sent: 25 Connections: 1 Outstanding: 0 Zxid: 0x500000000 Mode: leader Node count: 17159
三 编写Zabbix监控ZooKeeper的脚本和配置文件
要让Zabbix收集到这些监控数据，有两种方法一种是每个监控项目通过zabbix agent单独获取，主动监控和被动监控都可以。还有一种方法就是将这些监控数据一次性使用zabbix_sender全部发送给zabbix。这里我们选择第二种方式。那么采用zabbix_sender一次性发送全部监控数据的脚本就不能像通过zabbix agent这样逐个获取监控项目来编写脚本。
首先想办法将监控项目汇集成一个字典，然后遍历这个字典，将字典中的key:value对通过zabbix_sender的-k和-o参数指定发送出去
echo mntr|nc 127.0.0.1 2181
这条命令可以使用Python的subprocess模块调用，也可以使用socket模块去访问2181端口然后发送命令获取数据，获取到mntr执行的数据后还需要将其转化成为字典数据
即需要将这种样式的数据
zk_version 3.4.6-1569965, built on 02/20/2014 09:09 GMT zk_avg_latency 0 zk_max_latency 0 zk_min_latency 0 zk_packets_received 91 zk_packets_sent 90 zk_num_alive_connections 1 zk_outstanding_requests 0 zk_server_state follower zk_znode_count 17159 zk_watch_count 0 zk_ephemerals_count 1 zk_approximate_data_size 6666471 zk_open_file_descriptor_count 27 zk_max_file_descriptor_count 102400
转换成为这样的数据
{'zk_followers': 2, 'zk_outstanding_requests': 0, 'zk_approximate_data_size': 6666471, 'zk_packets_sent': 2089, 'zk_pending_syncs': 0, 'zk_avg_latency': 0, 'zk_version': '3.4.6-1569965, built on 02/20/2014 09:09 GMT', 'zk_watch_count': 2, 'zk_packets_received': 2090, 'zk_open_file_descriptor_count': 30, 'zk_server_ruok': 'imok', 'zk_server_state': 'leader', 'zk_synced_followers': 2, 'zk_max_latency': 28, 'zk_num_alive_connections': 2, 'zk_min_latency': 0, 'zk_ephemerals_count': 1, 'zk_znode_count': 17159, 'zk_max_file_descriptor_count': 102400}到最后需要使用zabbix_sender发送的数据格式这个样子的
zookeeper.status[zk_version]这是key的名称
zookeeper.status[zk_outstanding_requests]:0 zookeeper.status[zk_approximate_data_size]:6666471 zookeeper.status[zk_packets_sent]:48 zookeeper.status[zk_avg_latency]:0 zookeeper.status[zk_version]:3.4.6-1569965, built on 02/20/2014 09:09 GMT zookeeper.status[zk_watch_count]:0 zookeeper.status[zk_packets_received]:49 zookeeper.status[zk_open_file_descriptor_count]:27 zookeeper.status[zk_server_ruok]:imok zookeeper.status[zk_server_state]:follower zookeeper.status[zk_max_latency]:0 zookeeper.status[zk_num_alive_connections]:1 zookeeper.status[zk_min_latency]:0 zookeeper.status[zk_ephemerals_count]:1 zookeeper.status[zk_znode_count]:17159 zookeeper.status[zk_max_file_descriptor_count]:102400
精简代码如下：
#!/usr/bin/python
import socket
#from StringIO import StringIO
from cStringIO import StringIO
s=socket.socket()
s.connect(('localhost',2181))
s.send('mntr')
data_mntr=s.recv(2048)
s.close()
#print data_mntr
h=StringIO(data_mntr)
result={}
zresult={}
for line in h.readlines():
key,value=map(str.strip,line.split('\t'))
zkey='zookeeper.status' + '[' + key + ']'
zvalue=value
result[key]=value
zresult[zkey]=zvalue
print result
print '\n\n'
print zresult# python test.py
{'zk_outstanding_requests': '0', 'zk_approximate_data_size': '6666471', 'zk_max_latency': '0', 'zk_avg_latency': '0', 'zk_version': '3.4.6-1569965, built on 02/20/2014 09:09 GMT', 'zk_watch_count': '0', 'zk_num_alive_connections': '1', 'zk_open_file_descriptor_count': '27', 'zk_server_state': 'follower', 'zk_packets_sent': '542', 'zk_packets_received': '543', 'zk_min_latency': '0', 'zk_ephemerals_count': '1', 'zk_znode_count': '17159', 'zk_max_file_descriptor_count': '102400'}
{'zookeeper.status[zk_watch_count]': '0', 'zookeeper.status[zk_avg_latency]': '0', 'zookeeper.status[zk_max_latency]': '0', 'zookeeper.status[zk_approximate_data_size]': '6666471', 'zookeeper.status[zk_server_state]': 'follower', 'zookeeper.status[zk_num_alive_connections]': '1', 'zookeeper.status[zk_min_latency]': '0', 'zookeeper.status[zk_outstanding_requests]': '0', 'zookeeper.status[zk_packets_received]': '543', 'zookeeper.status[zk_ephemerals_count]': '1', 'zookeeper.status[zk_znode_count]': '17159', 'zookeeper.status[zk_packets_sent]': '542', 'zookeeper.status[zk_open_file_descriptor_count]': '27', 'zookeeper.status[zk_max_file_descriptor_count]': '102400', 'zookeeper.status[zk_version]': '3.4.6-1569965, built on 02/20/2014 09:09 GMT'}详细代码如下：
#!/usr/bin/python
""" Check Zookeeper Cluster
zookeeper version should be newer than 3.4.x
# echo mntr|nc 127.0.0.1 2181
zk_version 3.4.6-1569965, built on 02/20/2014 09:09 GMT
zk_avg_latency 0
zk_max_latency 4
zk_min_latency 0
zk_packets_received 84467
zk_packets_sent 84466
zk_num_alive_connections 3
zk_outstanding_requests 0
zk_server_state follower
zk_znode_count 17159
zk_watch_count 2
zk_ephemerals_count 1
zk_approximate_data_size 6666471
zk_open_file_descriptor_count 29
zk_max_file_descriptor_count 102400
# echo ruok|nc 127.0.0.1 2181
imok
"""
import sys
import socket
import re
import subprocess
from StringIO import StringIO
import os
zabbix_sender = '/opt/app/zabbix/sbin/zabbix_sender'
zabbix_conf = '/opt/app/zabbix/conf/zabbix_agentd.conf'
send_to_zabbix = 1
############# get zookeeper server status
class ZooKeeperServer(object):
def __init__(self, host='localhost', port='2181', timeout=1):
self._address = (host, int(port))
self._timeout = timeout
self._result = {}
def _create_socket(self):
return socket.socket()
def _send_cmd(self, cmd):
""" Send a 4letter word command to the server """
s = self._create_socket()
s.settimeout(self._timeout)
s.connect(self._address)
s.send(cmd)
data = s.recv(2048)
s.close()
return data
def get_stats(self):
""" Get ZooKeeper server stats as a map """
data_mntr = self._send_cmd('mntr')
data_ruok = self._send_cmd('ruok')
if data_mntr:
result_mntr = self._parse(data_mntr)
if data_ruok:
result_ruok = self._parse_ruok(data_ruok)
self._result = dict(result_mntr.items() + result_ruok.items())
if not self._result.has_key('zk_followers') and not self._result.has_key('zk_synced_followers') and not self._result.has_key('zk_pending_syncs'):
##### the tree metrics only exposed on leader role zookeeper server, we just set the followers' to 0
leader_only = {'zk_followers':0,'zk_synced_followers':0,'zk_pending_syncs':0}
self._result = dict(result_mntr.items() + result_ruok.items() + leader_only.items() )
return self._result
def _parse(self, data):
""" Parse the output from the 'mntr' 4letter word command """
h = StringIO(data)
result = {}
for line in h.readlines():
try:
key, value = self._parse_line(line)
result[key] = value
except ValueError:
pass # ignore broken lines
return result
def _parse_ruok(self, data):
""" Parse the output from the 'ruok' 4letter word command """
h = StringIO(data)
result = {}
ruok = h.readline()
if ruok:
result['zk_server_ruok'] = ruok
return result
def _parse_line(self, line):
try:
key, value = map(str.strip, line.split('\t'))
except ValueError:
raise ValueError('Found invalid line: %s' % line)
if not key:
raise ValueError('The key is mandatory and should not be empty')
try:
value = int(value)
except (TypeError, ValueError):
pass
return key, value
def get_pid(self):
# ps -ef|grep java|grep zookeeper|awk '{print $2}'
pidarg = '''ps -ef|grep java|grep zookeeper|grep -v grep|awk '{print $2}' '''
pidout = subprocess.Popen(pidarg,shell=True,stdout=subprocess.PIPE)
pid = pidout.stdout.readline().strip('\n')
return pid
def send_to_zabbix(self, metric):
key = "zookeeper.status[" + metric + "]"
if send_to_zabbix > 0:
#print key + ":" + str(self._result[metric])
try:
subprocess.call([zabbix_sender, "-c", zabbix_conf, "-k", key, "-o", str(self._result[metric]) ], stdout=FNULL, stderr=FNULL, shell=False)
except OSError, detail:
print "Something went wrong while exectuting zabbix_sender : ", detail
else:
print "Simulation: the following command would be execucted :\n", zabbix_sender, "-c", zabbix_conf, "-k", key, "-o", self._result[metric], "\n"
def usage():
"""Display program usage"""
print "\nUsage : ", sys.argv[0], " alive|all"
print "Modes : \n\talive : Return pid of running zookeeper\n\tall : Send zookeeper stats as well"
sys.exit(1)
accepted_modes = ['alive', 'all']
if len(sys.argv) == 2 and sys.argv[1] in accepted_modes:
mode = sys.argv[1]
else:
usage()
zk = ZooKeeperServer()
# print zk.get_stats()
pid = zk.get_pid()
if pid != "" and mode == 'all':
zk.get_stats()
# print zk._result
FNULL = open(os.devnull, 'w')
for key in zk._result:
zk.send_to_zabbix(key)
FNULL.close()
print pid
elif pid != "" and mode == "alive":
print pid
else:
print 0zabbix配置文件check_zookeeper.conf
UserParameter=zookeeper.status[*],/usr/bin/python /opt/app/zabbix/sbin/check_zookeeper.py $1
重新启动zabbix agent服务
四 制作Zabbix监控ZooKeeper的模板并设置报警阀值
模板参见附件
参考文档：
https://blog.serverdensity.com/how-to-monitor-zookeeper/
https://github.com/apache/zookeeper/tree/trunk/src/contrib/monitoring
http://john88wang.blog.51cto.com/2165294/1708302
