架构图java
架构解读 : (整个架构从左到右,总共分为5层)node
第一层、数据采集层python
最左边的是业务服务器集群,上面安装了filebeat作日志采集,同时把采集的日志分别发送给两个logstash服务(2.18七、2.189)mysql
第二层、数据处理层,数据缓存层linux
logstash服务把接受到的日志通过格式处理,转存到本地的kafka broker+zookeeper 集群中。nginx
第三层、数据转发层git
这个单独的Logstash(2.184)节点会实时去kafka broker集群拉数据,转发至ES DataNode。github
第四层、数据持久化存储sql
ES DataNode 会把收到的数据,写磁盘,建索引库。apache
第五层、数据检索,数据展现
ES Master + Kibana 主要 协调 ES集群,处理数据检索请求,数据展现。
服务器资源以及软件版本
- 操做系统:centos7.二、虚拟机
192.168.2.184 | elastic、kafka、 logstash-out-from-kafka zookeeper | |
192.168.2.187 | elastic、kafka、logstash-in-to-kafka、zookeeper | |
192.168.2.189 | elastic、kafka、logstash-in-to-kafka、zookeeper、kibana | |
主机ip
|
部署服务
|
服务器配置
|
---|
主机ip
|
部署服务
|
服务器配置
|
---|---|---|
192.168.2.130 | ExceptionLess | |
192.168.2.131 | kafka、 logstash-out-from-kafka zookeeper | opskafka.manjinba.cn |
192.168.2.132 | kafka、logstash-in-to-kafka、zookeeper | opskafka.manjinba.cn |
192.168.2.133 | kafka、logstash-in-to-kafka、zookeeper | opskafka.manjinba.cn |
192.168.2.135 | elastic | opselastic.manjinba.cn |
192.168.2.136 | elastic | opselastic.manjinba.cn |
192.168.2.138 | kibana | kibana.manjinba.cn |
软件版本:
jdk-8u151-linux-x64
elasticsearch-5.2.2 wget https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-5.2.2.tar.gz
kafka_2.10-0.10.2.0 wget http://mirror.bit.edu.cn/apache/kafka/0.10.2.0/kafka_2.10-0.10.2.0.tgz
kafka-manager wget https://github.com/yahoo/kafka-manager/archive/master.zip
kibana-5.2.2-linux-x86_64 wget https://artifacts.elastic.co/downloads/kibana/kibana-5.2.2-linux-x86_64.tar.gz
logstash-5.2.2 wget https://artifacts.elastic.co/downloads/logstash/logstash-5.2.2.tar.gz
zookeeper-3.4.9 wget http://mirror.bit.edu.cn/apache/zookeeper/zookeeper-3.4.9/zookeeper-3.4.9.tar.gz
filebeat-5.2.2 wget https://artifacts.elastic.co/downloads/beats/filebeat/filebeat-5.2.2-linux-x86_64.tar.gz
安装部署
系统优化
cat /etc/sysctl.conf
net.ipv4.tcp_max_syn_backlog = 4096
net.core.netdev_max_backlog = 2048
net.ipv4.tcp_fin_timeout = 15
net.ipv4.tcp_tw_reuse = 1
net.ipv4.tcp_tw_recycle = 1
net.ipv4.tcp_syncookies = 1
vm.max_map_count= 262144 #后期配置ES很关键
vm.swappiness = 1
|
cat /etc/security/limits.conf
* soft nofile 65536
* hard nofile 65536
|
配置java环境
cd /apps/svr
tar zxvf jdk-8u151-linux-x64.tar.gz
ln -s jdk1.8.0_151 jdk
cat >> /etc/profile <<EOF
export JAVA_HOME=/apps/svr/jdk
export PATH=$JAVA_HOME/bin:$PATH
export CLASSPATH=.:\$JAVA_HOME/lib/dt.jar:\$JAVA_HOME/lib/tools.jar
EOF
source /etc/profile
|
用户问题
为了方便这里全部的应用所有都在apps账号下
useradd apps && echo "Qwer1234" | passwd --stdin apps
python升级以及安装supervisor
cat update_python.sh
#!/bin/bash
#creat by xiaojs
if
[ whoami !=
'root'
]
then
exit 1
fi
if
[[ python -c
"import platform ;print platform.python_version()"
= 2.7.* ]]
then
echo
'you need not do everything'
exit 0
else
echo
'============================'
echo
'=======start update========'
fi
# get the tar
cd /usr/local/src
wget http:
//ops.bubugao-inc.com/python/Python-2.7.8.tgz
wget http:
//ops.bubugao-inc.com/python/pyinotify.tar.gz
wget http:
//ops.bubugao-inc.com/python/MySQL-python-1.2.4.zip
##
yum -y install git gcc mysql mysql-devel
#install
tar zxvf Python-2.7.8.tgz
cd Python-2.7.8
./configure --prefix=/usr/local/python2.7.8
make && make install
mv /usr/bin/python /usr/bin/python_old
ln -s /usr/local/python2.7.8/bin/python /usr/bin/
sed -i
's/python/python_old/1'
/usr/bin/yum
#intall the plugin
cd ..
tar zxvf pyinotify.tar.gz
cd pyinotify
python setup.py install
cd ..
unzip MySQL-python-1.2.4.zip
cd MySQL-python-1.2.4
python setup.py install
####install supervisor
cd /usr/local/src
wget --no-check-certificate https:
//bootstrap.pypa.io/ez_setup.py -O - | sudo python
wget http:
//pypi.python.org/packages/source/d/distribute/distribute-0.6.10.tar.gz
tar xf distribute-0.6.10.tar.gz
cd distribute-0.6.10
python setup.py install
easy_install supervisor
cd /usr/local/python2.7.8/bin/
cp supervisord supervisorctl echo_supervisord_conf /usr/bin/
mkdir /etc/supervisor && cd /etc/supervisor
wget http:
//ops.bubugao-inc.com/python/supervisord.conf
|
安装elasticsearch
cd /apps/svr/
tar zxvf elasticsearch-5.2.2.tar.gz
ln -s elasticsearch-5.2.2 elasticsearch
[root@17161 elasticsearch]# sed -n /^[^#]/p config/elasticsearch.yml
cluster.name: SuperApp
node.name: manjinba01
network.host: 0.0.0.0
http.port: 9200
discovery.zen.ping.unicast.hosts: [
"192.168.2.184:9300"
,
"192.168.2.187:9300"
,
"192.168.2.189:9300"
]
discovery.zen.minimum_master_nodes: 1
bootstrap.system_call_filter:
false
bootstrap.memory_lock:
false
http.cors.enabled:
true
http.cors.allow-origin:
"*"
|
启动elasticsearch
chown -R apps.apps /apps
su - apps
cd /apps/svr/elasticsearch
bin/elasticsearch -d
另外两台相似,后续会安装x-pack,因此之前的head和bigdesk不用安装
zookeeper+kafka集群部署
#zookeeper
cd /apps/svr
tar zxvf zookeeper-3.4.9.tar.gz
ln -s zookeeper-3.4.9 zookeeper
mkdir -p /apps/dbdat/zookeeper
[root@17163 zookeeper]# sed -n ‘/^[^#]/p’ conf/zoo.cfg
tickTime=2000
initLimit=10
syncLimit=5
dataDir=/apps/dbdat/zookeeper
clientPort=2181
server.1=192.168.2.184:12888:13888
server.2=192.168.2.187:12888:13888
server.3=192.168.2.189:12888:13888
#三台服务器分别赋值
echo 1 > /apps/dbdat/zookeeper/myid
echo 2 > /apps/dbdat/zookeeper/myid
echo 3 > /apps/dbdat/zookeeper/myid
#启动并查看状态
/apps/svr/zookeeper/bin/zkServer.sh start
/apps/svr/zookeeper/bin/zkServer.sh status
[root@17163 zookeeper]# /apps/svr/zookeeper/bin/zkServer.sh status
ZooKeeper JMX enabled by default
Using config: /apps/svr/zookeeper/bin/../conf/zoo.cfg
Mode: follower
#以上信息就是没问题
#kafka集群
cd /apps/svr
tar zxvf kafka_2.10-0.10.2.0.tgz
ln -s kafka_2.10-0.10.2.0 kafka
[root@17161 src]# sed -n
'/^[^#]/p'
/apps/svr/kafka/config/server.properties
broker.id=1
delete.topic.enable=
true
listeners=PLAINTEXT:
//192.168.2.184:9092
num.network.threads=3
num.io.threads=8
socket.send.buffer.bytes=102400
socket.receive.buffer.bytes=102400
socket.request.max.bytes=104857600
log.dirs=/apps/logs/kafka-logs
num.partitions=1
num.recovery.threads.per.data.dir=1
log.retention.hours=168
log.segment.bytes=1073741824
log.retention.check.interval.ms=300000
zookeeper.connect=192.168.2.184:2181,192.168.2.187:2181,192.168.2.189:2181
zookeeper.connection.timeout.ms=6000
|
#不一样的节点,注意broker.id和linsten的ip
\#启动查看是否正常
nohup /apps/svr/kafka/bin/kafka-server-start.sh /apps/svr/kafka/config/server.properties &
\#有一些用获得的指令
bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic test # 建立topic
bin/kafka-topics.sh --list --zookeeper localhost:2181 # 查看已经建立的topic列表
bin/kafka-topics.sh --describe --zookeeper localhost:2181 --topic test # 查看topic的详细信息
bin/kafka-console-producer.sh --broker-list localhost:9092 --topic test # 发送消息, 回车后模拟输入一下消息
bin/kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic test # 消费消息, 能够换到其余kafka节点, 同步接收生产节点发送的消息
bin/kafka-topics.sh --zookeeper localhost:2181 --alter --topic test --partitions 6 # 给topic增长分区
bin/kafka-topics.sh --delete --zookeeper localhost:2181 --topic test1 # 删除已经建立的topic, 前提是开了delete.topic.enable=
true
参数
若是还不能删除, 能够到zookeeper中去干掉它
cd /usr/local/zookeeper-3.4.10/
bin/zkCli.sh
ls /brokers/topics # 查看topic
rm -rf /brokers/topics/test1 # 删除topic
|
logstash的部署和配置
input {
beats {
port => 5044
}
}
output {
if
[type] ==
"nginx-accesslog"
{
kafka {
bootstrap_servers =>
"192.168.2.184:9092,192.168.2.187:9092,192.168.2.189:9092"
topic_id =>
"nginx-accesslog"
}
}
if
[type] ==
"tomcat-log"
{
kafka {
bootstrap_servers =>
"192.168.2.184:9092,192.168.2.187:9092,192.168.2.189:9092"
topic_id =>
"tomcat-log"
}
}
if
[type] ==
"sys-messages"
{
kafka {
bootstrap_servers =>
"192.168.2.184:9092,192.168.2.187:9092,192.168.2.189:9092"
topic_id =>
"sys-messages"
}
}
}
|
[apps@17161 ~]$ cat /apps/conf/logstash/logstash-kafka.conf
input {
kafka{
bootstrap_servers =>
"192.168.2.184:9092,192.168.2.187:9092,192.168.2.189:9092"
topics =>
"nginx-accesslog"
consumer_threads => 50
decorate_events =>
true
type =>
"nginx-accesslog"
}
kafka{
bootstrap_servers =>
"192.168.2.184:9092,192.168.2.187:9092,192.168.2.189:9092"
topics =>
"sys-messages"
consumer_threads => 50
decorate_events =>
true
type =>
"sys-messages"
}
kafka{
bootstrap_servers =>
"192.168.2.184:9092,192.168.2.187:9092,192.168.2.189:9092"
topics =>
"tomcat-log"
consumer_threads => 50
decorate_events =>
true
type =>
"tomcat-log"
}
}
filter {
if
[type] ==
"nginx-accesslog"
{
grok {
match => [
"message"
,
"%{IPORHOST:client_ip} %{USER:ident} %{USER:auth} \[%{HTTPDATE:timestamp}\] \"(?:%{WORD:verb} %{NOTSPACE:request}(?: HTTP/%{NUMBER:http_version})?|%{DATA:rawrequest})\" (?:%{URIHOST:domain}|-) %{NUMBER:response} (?:%{NUMBER:bytes}|-) %{QS:referrer} %{QS:agent} %{QS:x_forword} %{QS:upstream_host} %{QS:upstream_response} (%{WORD:upstream_cache_status}|-) %{QS:upstream_content_type} %{QS:upstream_response_time} > (%{BASE16FLOAT:request_time}) \"(%{NGINXUID:uid}|-)\""
]
}
date {
locale =>
"en_US"
match => [
"timestamp"
,
"dd/MMM/yyyy:HH:mm:ss Z"
]
remove_field => [
"timestamp"
]
}
}
if
[type] ==
"tomcat-log"
{
grok {
match => {
"message"
=>
"((app=(?<app>[^,]*)\,?))(\s*)((app0=(?<app0>[^,]*)\,?)?)(\s*)((app1=(?<app1>[^,]*)\,?)?)(.*\, host)(=(?<host>[^,]*)\,)(\s*)(pid=(?<pid>[^,]*)\,)(\s*)((t0=(?<t0>[^,]*)\,)?)(\s*)(trackId=(?<trackId>[a-zA-Z0-9]+)\})(\s*)(\[(?<time>[^]]*)\])(\s*)(\[(?<loglevel>DEBUG|INFO|WARN|ERROR)\])((.*\"time\":(?<apitime>\d+)\,\"code\":(?<apicode>\"[^\"]*\")\,\"msg\":(?<apimsg>\"[^\"]*)\"\})?)(.*\[Cost)?((\s+(?<Cost>\d+)ms\])?)"
}
}
}
mutate {
#convert => {"Cost" => "integer"}
convert => [
"Cost"
,
"integer"
,
"request_time"
,
"integer"
,
"response"
,
"integer"
,
"upstream_response"
,
"integer"
]
}
}
output {
elasticsearch {
hosts => [
"192.168.2.184:9200"
,
"192.168.2.187:9200"
,
"192.168.2.189:9200"
]
user => elastic
password => changeme
index =>
"logstash-%{type}-%{+YYYY.MM.dd}"
manage_template =>
true
flush_size => 50000
idle_flush_time => 10
}
}
|
启动logstash
192.168.2.184
nohup /apps/svr/logstash/bin/logstash
-f /apps/conf/logstash/logstash-kafka.conf &
192.168.2.187/192.168.2.189
nohup /apps/svr/logstash/bin/logstash
-f /apps/conf/logstash/logstash-in-kafka.conf &
应用服务器的filebeat的配置
cd /apps/svr
tar zxvf filebeat-5.2.2-linux-x86_64.tar.gz
ln -s filebeat-5.2.2-linux-x86_64 filebeat
[root@java1732 svr]# sed -n ‘/^[^#]/’p filebeat/filebeat.yml
filebeat.prospectors:
- input_type: log
paths:
- /var/log/messages
document_type: sys-messages
output.logstash:
# The Logstash hosts
hosts: [
"192.168.2.187:5044"
,
"192.168.2.189:5044"
]
#调试指令:./filebeat -e -c filebeat.yml -d “production”
启动: nohup ./filebeat -c filebeat.yml -e &
|
kibana页面配置
cd /apps/svr
tar zxvf kibana-5.2.2-linux-x86_64.tar.gz
ln -s kibana-5.2.2-linux-x86_64 kibana
[root@17161 kibana]# sed -n ‘/^[^#]/’p config/kibana.yml
server.port: 5601
server.host:
"192.168.2.189"
elasticsearch.url:
"http://192.168.2.189:9200"
kibana.index:
".kibana"
|
启动kibana
nohup bin/kibana &
#对应的nginx的配置以下
upstream kibana {
keepalive 400;
server 192.168.2.184:5601 max_fails=3 fail_timeout=30s;
}
server {
listen 80;
server_name 192.168.2.184;
if
(-d $request_filename) {
rewrite ^/(.*)([^/])$ http:
//$host/$1$2/ permanent;
}
location / {
proxy_pass http:
//kibana;
proxy_http_version 1.1;
proxy_set_header Connection
""
;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header Host $host;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
}
error_log logs/kinaba5.error.log;
access_log logs/kinaba5.access.log log_access;
|
}
#至此,整个框架已经完成,能够先创建kafka的topic测试,而后观察elasticsearch的索引是否创建成功,或简单的从页面观察便可
插件和其余相关
一、因为上述大部分应用都是跑在后台,有时候进程是否挂掉,不得而知,监控若是对于每一个进程监控略显麻烦,并且不方便启动,因此这里用supervisor进行统一管理,上述已经有安装记录,具体的配置就不作展现了 二、 x-pack的安装 /apps/svr/kibana/bin/kibana-plugin install x-pack