zookeeper集群简易安装、监控

摘要

本文记录

  • 安装zookeeper单机过程
  • 安装zookeeper集群、扩容的过程
  • zookeeper的监控数据

安装zookeeper

设置环境变量

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WORKDIR="/usr/local/src"
INSTALL_DIR="/usr/local/product"
SOFT_DIR="/usr/local"
VERSION="3.4.12"

创建zookeeper用户

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useradd zookeeper

下载安装包

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cd ${WORKDIR}
wget https://mirrors.aliyun.com/apache/zookeeper/zookeeper-${VERSION}/zookeeper-${VERSION}.tar.gz
tar xvf zookeeper-${VERSION}.tar.gz -C ${INSTALL_DIR}
ln -s ${INSTALL_DIR}/zookeeper-${VERSION} ${SOFT_DIR}/zookeeper

创建配置文件

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cd /usr/local/zookeeper/conf
cp zoo_sample.cfg zoo.cfg
echo -e "tickTime=2000
initLimit=10
syncLimit=5
dataDir=/data/zookeeper/data
clientPort=2181" > zoo.cfg
echo -e "ZOO_LOG_DIR=/data/logs/zookeeper" > zookeeper-env.sh
mkdir -p /data/zookeeper/data
mkdir -p /data/logs/zookeeper
chown zookeeper.zookeeper -R /data/zookeeper/
chown zookeeper.zookeeper -R /data/logs/zookeeper/
chown zookeeper.zookeeper -R /usr/local/zookeeper/

添加环境变量

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echo -e "export ZOOKEEPER_HOME=/usr/local/zookeeper
export PATH=\$ZOOKEEPER_HOME/bin:\$PATH" >> /etc/profile
source /etc/profile

启动服务

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su - zookeeper
zkServer.sh start
ZooKeeper JMX enabled by default
Using config: /usr/local/zookeeper/bin/../conf/zoo.cfg
Starting zookeeper ... STARTED

其他命令

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zkServer.sh --help
ZooKeeper JMX enabled by default
Using config: /usr/local/zookeeper/bin/../conf/zoo.cfg
Usage: /usr/local/zookeeper/bin/zkServer.sh {start|start-foreground|stop|restart|status|upgrade|print-cmd}
zkServer.sh status
zkServer.sh start-foreground
zkCli.sh -server localhost:2181

zookeeper集群模式

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cd /usr/local/zookeeper/conf
echo -e "tickTime=2000
initLimit=10
syncLimit=5
dataDir=/data/zookeeper/data
clientPort=2181
server.1=172.17.8.32:2889:3889
server.2=172.17.8.33:2889:3889
server.3=172.17.8.34:2889:3889" > zoo.cfg
cd /data/zookeeper/data
echo 1 > myid
echo 2 > myid
echo 3 > myid
chown zookeeper.zookeeper -R /data/zookeeper/
chown zookeeper.zookeeper -R /data/logs/zookeeper/
chown zookeeper.zookeeper -R /usr/local/zookeeper/

查看节点状态

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echo srvr | nc 127.0.0.1 2181
Zookeeper version: 3.4.12-e5259e437540f349646870ea94dc2658c4e44b3b, built on 03/27/2018 03:55 GMT
Latency min/avg/max: 0/0/0
Received: 1
Sent: 0
Connections: 1
Outstanding: 0
Zxid: 0x1c000000cf
Mode: leader
Node count: 3003

扩容

新增两个节点,直接增加配置

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cd /usr/local/zookeeper/conf
echo -e "tickTime=2000
initLimit=10
syncLimit=5
dataDir=/data/zookeeper/data
clientPort=2181
server.1=172.17.8.32:2889:3889
server.2=172.17.8.33:2889:3889
server.3=172.17.8.34:2889:3889
server.4=172.17.8.35:2889:3889
server.5=172.17.8.36:2889:3889" > zoo.cfg
cd /data/zookeeper/data
echo 4 > myid
echo 5 > myid

先启动新增的节点,然后依次重启所有节点

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zkServer.sh

查看状态

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echo srvr | nc 127.0.0.1 2181
这种状态是整个集群没有全部重启时部分节点读取了新配置导致的,依次全部重启节点即可
# This ZooKeeper instance is not currently serving requests

测试

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#zk1
zkCli.sh -server localhost:2181
create /zktest 'test'
# zk4
create /zktest

监控

zookeeper监控指标

目前zookeeper获取监控指标已知的有两种方式

  • 通过zookeeper自带的four letter words command获取各种各样的监控指标
  • 通过JMX Client连接zookeeer对外提供的MBean来获取监控指标(需要修改启动脚本,使其支持远程JMX连接)

上述两种方式获取的指标大体上是一致的。

本文采用第一种的方式

四字命令

使用方法

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echo commands  |  nc ip port
# 如
echo conf | nc 192.168.144.110 2181

conf

能够获取到zookeeper的配置信息

  • 客户端端口
  • 数据以及日志路径,
  • 间隔单位时间,
  • 单台server与单个client端的连接数限制,
  • 超时时间,
  • serverId等等信息,

Follower在启动过程中,会从Leader同步所有最新数据,然后确定自己能够对外服务的起始状态。Leader允许F在initLimit时间内完成这个工作。

在运行过程中,Leader负责与ZK集群中所有机器进行通信,例如通过一些心跳检测机制,来检测机器的存活状态。如果L发出心跳包在syncLimit之后,还没有从F那里收到响应,那么就认为这个F已经不在线了。


cons

连接信息的总览,

  • 连接ip
  • 端口号
  • 该连接的发包数
  • 该连接的收包数
  • 连接的session Id
  • 最后操作方式/命令
  • 连接的时间戳
  • 超时时间(未确认)
  • 最后的zxid
  • 最后的响应时间戳
  • 连接的时间延时信息

crst

重置连接状态,是一个execute操作,不是一个select操作

执行后返回一个状态信息:

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Connection stats reset.

dump

输出所有等待队列中的会话和临时节点的信息

envi

当前server的环境信息:

  • 版本信息
  • 主机的host
  • jvm相关参数:version,classpath,lib等等
  • os相关参数:name,version等等
  • 当前host用户信息:name,dir等等

ruok

查询当前server状态是否正常 若正常返回imok

imok

srst

同样是一个execute操作而不是select,重置server状态:

srvr

server的简要信息:

  • 版本
  • 延时
  • 收包数
  • 发包数
  • 连接数
  • 状态等信息

stat

一些状态信息和连接信息,是前面一些信息的组合:

wchs

有watch path的连接数 以及watch的path数 和 watcher数

wchc

连接监听的所有path:(考虑吧cons命令 信息整合)

wchp

path被那些连接监听:(考虑把cons命令 信息整合)

mntr

用于监控zookeeper server 健康状态的各种指标:

  • 版本
  • 延时
  • 收包
  • 发包
  • 连接数
  • 未完成客户端请求数
  • leader/follower 状态
  • znode 数
  • watch 数
  • 临时节点数
  • 近似数据大小 应该是一个总和的值
  • 打开文件描述符 数
  • 最大文件描述符 数
  • fllower数
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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

监控脚本

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cat zk_monitor.sh
#!/bin/sh
### enviroment
workpath=$(dirname $0)
cd $workpath
workpath=$(pwd)
config_file="${workpath}/../conf/zoo.cfg"
if [ ! -f $config_file ]; then
exit 1
fi
ip="127.0.0.1"
port=$(awk -F= '{if ($1 == "clientPort") print $2}' $config_file)
if [ -z "$port" ]; then
exit 1
fi
### monr info: statistics
last_file="${workpath}/monr.last"
now_file="${workpath}/monr.now"
time_key="timestamp:"
echo "$(echo "$time_key $(date +%s)";echo monr|nc $ip $port)" > $now_file
if [ ! -f $last_file ]; then
cp $now_file $last_file
fi
awk -v time_key="$time_key" 'BEGIN {
mode = 0
} FNR == NR {
last[$1] = $2
} FNR!=NR {
name[FNR] = $1
now[FNR] = $2
if ($1 == "zk_mode:") {
if ($2 == "leader") {
mode = 1
} else if ($2 == "follower") {
mode = 5
} else if ($2 == "observer") {
mode = 10
} else if ($2 == "proxy") {
mode = 15
} else {
mode = -1
}
}
} END {
if (mode == 0 || name[1] != time_key || !(time_key in last)) {
exit 1
}
printf("zk_running: 1\n")
interval = now[1] - last[time_key]
if (interval <= 0) {
interval = 1
}
for (i=2; i<=FNR; ++i) {
if (name[i] in last) {
key = name[i]
value = now[i]
if (key == "zk_mode:") {
value = mode
} else if (key == "zk_packets_received:") {
value = (value - last[key])/interval
key = "zk_received_per_sec:"
} else if (key == "zk_packets_sent:") {
value = (value - last[key])/interval
key = "zk_sent_per_sec:"
} else if (key ~ /^zk_.*(_received|_succeed|_failed):$/) {
value = (value - last[key])/interval
}
printf("%s %d\n", key, value)
}
}
}' $last_file $now_file
mv $now_file $last_file
echo BDEOF
[work@bjyz-inf-spark-forfsg-y02xi3-80 monitor]$sh zk_monitor.sh
zk_running: 1
zk_mode: 5
zk_min_latency: 0
zk_avg_latency: 0
zk_max_latency: 250
zk_node_count: 1134
zk_outstandings: 0
zk_zxid: 4294978789
zk_watch_conn_num: 6
zk_watch_path_num: 5
zk_watch_total: 8
zk_received_per_sec: 3
zk_sent_per_sec: 3
zk_client_connections: 4
zk_snapshot_count: 1
zk_sessions: 22
zk_expire_session_count: 0
zk_create_session_count: 167
zk_close_session_count: 82
zk_renew_session_count: 7
zk_ephemerals: 11
zk_read_delayed: 0
zk_write_delayed: 0
zk_create_session_received: 0
zk_create_session_succeed: 0
zk_create_session_failed: 0
zk_close_session_received: 0
zk_close_session_succeed: 0
zk_close_session_failed: 0
zk_create_received: 0
zk_create_succeed: 0
zk_create_failed: 0
zk_delete_received: 0
zk_delete_succeed: 0
zk_delete_failed: 0
zk_set_received: 0
zk_set_succeed: 0
zk_set_failed: 0
zk_set_acl_received: 0
zk_set_acl_succeed: 0
zk_set_acl_failed: 0
zk_sync_received: 0
zk_sync_succeed: 0
zk_sync_failed: 0
zk_exists_received: 0
zk_exists_succeed: 0
zk_exists_failed: 0
zk_get_received: 0
zk_get_succeed: 0
zk_get_failed: 0
zk_get_acl_received: 0
zk_get_acl_succeed: 0
zk_get_acl_failed: 0
zk_get_children_received: 0
zk_get_children_succeed: 0
zk_get_children_failed: 0
zk_get_children2_received: 0
zk_get_children2_succeed: 0
zk_get_children2_failed: 0
zk_ping_received: 2
zk_ping_succeed: 2
zk_ping_failed: 0
zk_set_watch_received: 0
zk_set_watch_succeed: 0
zk_set_watch_failed: 0
zk_recent_latency_min: 0
zk_recent_latency_avg: 0
zk_recent_latency_max: 1
zk_open_file_descriptor_count: 32
zk_max_file_descriptor_count: 1048576
BDEOF
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# zookeeper.py
#!/usr/bin/python
"""{'zk_followers': 0,
'zk_outstanding_requests': 0,
'zk_approximate_data_size': 890971,
'zk_packets_sent': 5818488,
'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': 1364,
'zk_packets_received': 5797681,
'zk_open_file_descriptor_count': 46,
'zk_server_ruok': 'imok',
'zk_server_state': 'follower',
'zk_synced_followers': 0,
'zk_max_latency': 400,
'zk_num_alive_connections': 18,
'zk_min_latency': 0,
'zk_ephemerals_count': 1112,
'zk_znode_count': 2207,
'zk_max_file_descriptor_count': 4096}
"""
import sys
import socket
import re
import subprocess
from StringIO import StringIO
import os
zabbix_sender = '/usr/bin/zabbix_sender'
zabbix_conf = '/etc/zabbix/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 """
"""zk_version 3.4.6-1569965, built on 02/20/2014 09:09 GMT
zk_avg_latency 0
zk_max_latency 94
zk_min_latency 0
zk_packets_received 1267904
zk_packets_sent 1317835
zk_num_alive_connections 12
zk_outstanding_requests 0
zk_server_state follower
zk_znode_count 1684
zk_watch_count 2757
zk_ephemerals_count 899
zk_approximate_data_size 728074
zk_open_file_descriptor_count 41
zk_max_file_descriptor_count 4096
"""
data_mntr = self._send_cmd('mntr')
data_ruok = self._send_cmd('ruok')
if data_mntr:
result_mntr = self._parse(data_mntr)
if data_ruok:
# {'zk_server_ruok': 'imok'}
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):
"""
:param data: zk_outstanding_requests 0 zk_approximate_data_size 653931
:return: {'zk_outstanding_requests': '0', 'zk_approximate_data_size': '653931',}
"""
""" 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):
"""
:param data: imok
:return: {'zk_server_ruok': 'imok'}
"""
""" 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):
# zk_watch_count 1482
try:
# zk_max_file_descriptor_count 65535
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}' ''' # 31022
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[zk_max_file_descriptor_count]
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)
#print "send zabbix success"
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 0

https://www.cnblogs.com/yxy-linux/p/8023660.html

https://www.cnblogs.com/kuku0223/p/8428341.html