大纲：
一、简介
二、Logstash
三、Redis
四、Elasticsearch
五、Kinaba
一、简介
1、核心组成
ELK由Elasticsearch、Logstash和Kibana三部分组件组成；
Elasticsearch是个开源分布式搜索引擎，它的特点有：分布式，零配置，自动发现，索引自动分片，索引副本机制，restful风格接口，多数据源，自动搜索负载等。
Logstash是一个完全开源的工具，它可以对你的日志进行收集、分析，并将其存储供以后使用
kibana 是一个开源和免费的工具，它可以为 Logstash 和 ElasticSearch 提供的日志分析友好的 Web 界面，可以帮助您汇总、分析和搜索重要数据日志。
2、四大组件
Logstash: logstash server端用来搜集日志；
Elasticsearch: 存储各类日志；
Kibana: web化接口用作查寻和可视化日志；
Logstash Forwarder: logstash client端用来通过lumberjack 网络协议发送日志到logstash server；
3、ELK工作流程
在需要收集日志的所有服务上部署logstash，作为logstash agent（logstash shipper）用于监控并过滤收集日志，将过滤后的内容发送到Redis，然后logstash indexer将日志收集在一起交给全文搜索服务ElasticSearch，可以用ElasticSearch进行自定义搜索通过Kibana 来结合自定义搜索进行页面展示。
![wKioL1YWGBnxpAwyAAGFWRpT6X8070.jpg]( "work flying.png")
4、ELK的帮助手册
ELK官网：https://www.elastic.co/
ELK官网文档：https://www.elastic.co/guide/index.html
ELK中文手册：http://kibana.logstash.es/content/elasticsearch/monitor/logging.html
注释
ELK有两种安装方式
(1)集成环境：Logstash有一个集成包，里面包括了其全套的三个组件；也就是安装一个集成包。
(2)独立环境：三个组件分别单独安装、运行、各司其职。(比较常用)
本实验也以第二种方式独立环境来进行演示；单机版主机地址为：192.168.1.104
二、Logstash
1、安装jdk
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Logstash的运行依赖于Java运行环境。
openjdk version
"1.8.0_51"
OpenJDK Runtime Environment (build 1.8.0_51-b16)
OpenJDK 64-Bit Server VM (build 25.51-b03, mixed mode)
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2、安装logstash
3、logstash常用参数
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-e :指定logstash的配置信息，可以用于快速测试;
-f :指定logstash的配置文件；可以用于生产环境;
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4、启动logstash
4.1 通过-e参数指定logstash的配置信息，用于快速测试，直接输出到屏幕。
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my name is zhengyansheng.
//
手动输入后回车，等待10秒后会有返回结果
Logstash startup completed
2015-10-08T13:55:50.660Z 0.0.0.0 my name is zhengyansheng.
这种输出是直接原封不动的返回...
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4.2 通过-e参数指定logstash的配置信息，用于快速测试，以json格式输出到屏幕。
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my name is zhengyansheng.
//
手动输入后回车，等待10秒后会有返回结果
Logstash startup completed
{
"message"
=>
"my name is zhengyansheng."
,
"@version"
=>
"1"
,
"@timestamp"
=>
"2015-10-08T13:57:31.851Z"
,
"host"
=>
"0.0.0.0"
}
这种输出是以json格式的返回...
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5、logstash以配置文件方式启动
5.1 输出信息到屏幕
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input { stdin {} }
output {
stdout { codec=> rubydebug }
}
Logstash startup completed
Pipeline started {:level=>:info}
Logstash startup completed
hello world.
//
手动输入hello world.
{
"message"
=>
"hello world."
,
"@version"
=>
"1"
,
"@timestamp"
=>
"2015-10-08T14:01:43.724Z"
,
"host"
=>
"0.0.0.0"
}
效果同命令行配置参数一样...
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5.2 logstash输出信息存储到redis数据库中
刚才我们是将信息直接显示在屏幕上了，现在我们将logstash的输出信息保存到redis数据库中,如下
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前提是本地(192.168.1.104)有redis数据库，那么下一步我们就是安装redis数据库.
input { stdin { } }
output {
stdout { codec => rubydebug }
redis {
host =>
'192.168.1.104'
data_type =>
'list'
key =>
'logstash:redis'
}
}
如果提示Failed to send event to Redis，表示连接Redis失败或者没有安装，请检查...
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6、 查看logstash的监听端口号
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tcp 0 0 :::9301 :::* LISTEN 1326
/java
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三、Redis
1、安装Redis
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wget http:
//download
.redis.io
/releases/redis-2
.8.19.
tar
.gz
yum
install
tcl -y
tar
zxf redis-2.8.19.
tar
.gz
cd
redis-2.8.19
make
MALLOC=libc
make
test
//
这一步时间会稍久点...
make
install
cd
utils/
.
/install_server
.sh
//
脚本执行后，所有选项都以默认参数为准即可
Welcome to the redis service installer
This script will help you easily
set
up a running redis server
Please
select
the redis port
for
this instance: [6379]
Selecting default: 6379
Please
select
the redis config
file
name [
/etc/redis/6379
.conf]
Selected default -
/etc/redis/6379
.conf
Please
select
the redis log
file
name [
/var/log/redis_6379
.log]
Selected default -
/var/log/redis_6379
.log
Please
select
the data directory
for
this instance [
/var/lib/redis/6379
]
Selected default -
/var/lib/redis/6379
Please
select
the redis executable path [
/usr/local/bin/redis-server
]
Selected config:
Port : 6379
Config
file
:
/etc/redis/6379
.conf
Log
file
:
/var/log/redis_6379
.log
Data
dir
:
/var/lib/redis/6379
Executable :
/usr/local/bin/redis-server
Cli Executable :
/usr/local/bin/redis-cli
Is this ok? Then press ENTER to go on or Ctrl-C to abort.
Copied
/tmp/6379
.conf =>
/etc/init
.d
/redis_6379
Installing service...
Successfully added to chkconfig!
Successfully added to runlevels 345!
Starting Redis server...
Installation successful!
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2、查看redis的监控端口
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tcp 0 0 0.0.0.0:6379 0.0.0.0:* LISTEN 3843
/redis-server
*
tcp 0 0 127.0.0.1:21365 0.0.0.0:* LISTEN 2290
/src/redis-serv
tcp 0 0 :::6379 :::* LISTEN 3843
/redis-server
*
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3、测试redis是否正常工作
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192.168.1.104:6379>
ping
PONG
192.168.1.104:6379>
set
name zhengyansheng
OK
192.168.1.104:6379> get name
"zhengyansheng"
192.168.1.104:6379> quit
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4、redis服务启动命令
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root 3963 1 0 08:42 ? 00:00:00
/usr/local/bin/redis-server
*:6379
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5、redis的动态监控
6、logstash结合redis工作
6.1 首先确认redis服务是启动的
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tcp 0 0 0.0.0.0:6379 0.0.0.0:* LISTEN 3843
/redis-server
*
tcp 0 0 127.0.0.1:21365 0.0.0.0:* LISTEN 2290
/src/redis-serv
tcp 0 0 :::6379 :::* LISTEN 3843
/redis-server
*
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6.2 启动redis动态监控
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# cd redis-2.8.19/src/
# ./redis-cli monitor
OK
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6.3 基于入口redis启动logstash
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input { stdin { } }
output {
stdout { codec => rubydebug }
redis {
host =>
'192.168.1.104'
data_type =>
'list'
key =>
'logstash:redis'
}
}
Pipeline started {:level=>:info}
Logstash startup completed
dajihao linux
{
"message"
=>
"dajihao linux"
,
"@version"
=>
"1"
,
"@timestamp"
=>
"2015-10-08T14:42:07.550Z"
,
"host"
=>
"0.0.0.0"
}
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6.4 查看redis的监控接口上的输出
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OK
1444315328.103928 [0 192.168.1.104:56211]
"rpush"
"logstash:redis"
"{\"message\":\"dajihao linux\",\"@version\":\"1\",\"@timestamp\":\"2015-10-08T14:42:07.550Z\",\"host\":\"0.0.0.0\"}"
如果redis的监控上也有以上信息输出，表明logstash和redis的结合是正常的。
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四、Elasticsearch
1、安装Elasticsearch
2、修改elasticsearch配置文件elasticsearch.yml并且做以下修改.
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discovery.zen.
ping
.multicast.enabled:
false
network.host: 192.168.1.104
http.cors.allow-origin:
"/.*/"
http.cors.enabled:
true
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3、启动elasticsearch服务
4、查看elasticsearch的监听端口
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tcp 0 0 :::9200 :::* LISTEN 7407
/java
tcp 0 0 :::9300 :::* LISTEN 7407
/java
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5、elasticsearch和logstash结合
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将logstash的信息输出到elasticsearch中
input { stdin {} }
output {
elasticsearch { host =>
"192.168.1.104"
}
stdout { codec=> rubydebug }
}
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6、基于配置文件启动logstash
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Pipeline started {:level=>:info}
Logstash startup completed
python linux java c++
//
手动输入
{
"message"
=>
"python linux java c++"
,
"@version"
=>
"1"
,
"@timestamp"
=>
"2015-10-08T14:51:56.899Z"
,
"host"
=>
"0.0.0.0"
}
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7、curl命令发送请求来查看elasticsearch是否接收到了数据
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{
"took"
: 28,
"timed_out"
:
false
,
"_shards"
: {
"total"
: 5,
"successful"
: 5,
"failed"
: 0
},
"hits"
: {
"total"
: 1,
"max_score"
: 1.0,
"hits"
: [ {
"_index"
:
"logstash-2015.10.08"
,
"_type"
:
"logs"
,
"_id"
:
"AVBH7-6MOwimSJSPcXjb"
,
"_score"
: 1.0,
"_source"
:{
"message"
:
"python linux java c++"
,
"@version"
:
"1"
,
"@timestamp"
:
"2015-10-08T14:51:56.899Z"
,
"host"
:
"0.0.0.0"
}
} ]
}
}
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8、安装elasticsearch插件
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-> Installing lmenezes
/elasticsearch-kopf
...
Trying https:
//github
.com
/lmenezes/elasticsearch-kopf/archive/master
.zip...
Downloading .............................................................................................
Installed lmenezes
/elasticsearch-kopf
into
/usr/local/elasticsearch-1
.7.2
/plugins/kopf
执行插件安装后会提示失败，很有可能是网络等情况...
-> Installing lmenezes
/elasticsearch-kopf
...
Trying https:
//github
.com
/lmenezes/elasticsearch-kopf/archive/master
.zip...
Failed to
install
lmenezes
/elasticsearch-kopf
, reason: failed to download out of all possible locations..., use --verbose to get detailed information
解决办法就是手动下载该软件，不通过插件安装命令...
cd
/usr/local/elasticsearch-1
.7.2
/plugins
wget https:
//github
.com
/lmenezes/elasticsearch-kopf/archive/master
.zip
unzip master.zip
mv
elasticsearch-kopf-master kopf
以上操作就完全等价于插件的安装命令
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9、浏览器访问kopf页面访问elasticsearch保存的数据
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tcp 0 0 :::9200 :::* LISTEN 7969
/java
tcp 0 0 :::9300 :::* LISTEN 7969
/java
tcp 0 0 :::9301 :::* LISTEN 8015
/java
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![wKiom1YWE7GDnjRIAALZuJ3R5GM868.jpg]( "kopf.png")
10、从redis数据库中读取然后输出到elasticsearch中
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input {
redis {
host =>
'192.168.1.104'
data_type =>
'list'
port =>
"6379"
key =>
'logstash:redis'
type
=>
'redis-input'
}
}
output {
elasticsearch {
host =>
"192.168.1.104"
codec =>
"json"
protocol =>
"http"
}
}
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五、Kinaba
1、安装Kinaba
2、修改kinaba配置文件kinaba.yml
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# vim /usr/local/kibana-
4.1
.
2
-linux-x64/config/kibana.yml
elasticsearch_url:
"http://192.168.1.104:9200"
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3、启动kinaba
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/usr/local/kibana-4
.1.2-linux-x64
/bin/kibana
输出以下信息，表明kinaba成功.
{
"name"
:
"Kibana"
,
"hostname"
:
"localhost.localdomain"
,
"pid"
:1943,
"level"
:30,
"msg"
:
"No existing kibana index found"
,
"time"
:
"2015-10-08T00:39:21.617Z"
,
"v"
:0}
{
"name"
:
"Kibana"
,
"hostname"
:
"localhost.localdomain"
,
"pid"
:1943,
"level"
:30,
"msg"
:
"Listening on 0.0.0.0:5601"
,
"time"
:
"2015-10-08T00:39:21.637Z"
,
"v"
:0}
kinaba默认监听在本地的5601端口上
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4、浏览器访问kinaba
4.1 使用默认的logstash-*的索引名称，并且是基于时间的，点击“Create”即可。
![wKioL1YWFTbx56DuAAOecFQkxcA301.jpg]( "01(首页).png")
4.2 看到如下界面说明索引创建完成。
![wKiom1YWFR-hbgxOAAQZ85RcxMg067.jpg]( "02(create).png")
4.3 点击“Discover”，可以搜索和浏览Elasticsearch中的数据。
![wKioL1YWFTaRWGZmAAQ81v02YE8823.jpg]( "03(discover).png")
>>>结束<<<
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1、ELK默认端口号
elasticsearch：9200 9300
logstash : 9301
kinaba : 5601
2、错误汇总
(1)java版本过低
[2015-10-07 18:39:18.071] WARN -- Concurrent: [DEPRECATED] Java 7 is deprecated, please use Java 8.
(2)Kibana提示Elasticsearch版本过低...
This version of Kibana requires Elasticsearch 2.0.0 or higher on all nodes. I found the following incompatible nodes
in
your cluster:
Elasticsearch v1.7.2 @ inet[
/192
.168.1.104:9200] (127.0.0.1)
解决办法：
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软件包以打包上传：http://pan.baidu.com/s/1hqfeFvY
本文转自zys467754239 51CTO博客，原文链接：http://blog.51cto.com/467754239/1700828，如需转载请自行联系原作者
