logstash 配置文件语法

需要一个配置文件 管理输入、过滤器和输出相关的配置。配置文件内容格式如下：

#　输入
input {
  ...
}
# 过滤器
filter {
  ...
}
# 输出
output {
  ...
}

先来看一个标准输入输出

root@c201b7b32a32# ./logstash -e 'input { stdin{} } output { stdout{} }'
Sending Logstash's logs to /opt/logstash/logs which is now configured via log4j2.properties
[2018-04-26T06:47:20,724][INFO ][logstash.modules.scaffold] Initializing module {:module_name=>"fb_apache", :directory=>"/opt/logstash/modules/fb_apache/configuration"}
……

[2018-04-26T06:47:24,124][INFO ][logstash.pipeline ] Pipeline started succesfully {:pipeline_id=>"main", :thread=>"#<Thread:0x5fec99f4 run>"}
The stdin plugin is now waiting for input:
[2018-04-26T06:47:24,253][INFO ][logstash.agent ] Pipelines running {:count=>1, :pipelines=>["main"]}

hello         ==>输入
2018-04-26T06:47:31.957Z c201b7b32a32 hello         ==>输出
this is test  ==>输入
2018-04-26T06:50:29.743Z c201b7b32a32 this is test   ==>输出

使用rubudebug显示详细输出，codec为一种编解码器

# ./logstash -e 'input { stdin{} } output { stdout{ codec => rubydebug} }'

test2   ==>输入
{
       "message" => "test2",
    "@timestamp" => --26T07::.652Z,
      "@version" => "",
          "host" => "c201b7b32a32"
}       ==>使用rubydebug输出

 input输入设置

input {
    # file为常用文件插件，插件内选项很多，可根据需求自行判断
    file {
        path => "/var/log/httpd/access_log" # 要导入的文件的位置，可以使用*，例如/var/log/nginx/*.log
        Excude =>”*.gz”                       # 要排除的文件
        start_position => "beginning"         # 从文件开始的位置开始读,默认是end
        ignore_older => 0                # 多久之内没修改过的文件不读取，0为无限制，单位为秒
        sincedb_path => "/dev/null"      # 记录文件上次读取位置；输出到null表示每次都从文件首行开始解析
        add_field=>{"test"="test"}       # 增加一个字段
        type => "apache-log"             # type字段，可表明导入的日志类型
        }
}

也可以使用多个file

input {
  file {
    path => "/var/log/messages"
    type => "syslog"
  }
  

  file {
    path => "/var/log/apache/access.log"
    type => "apache"
  }
}

也可以使用数组方式   或者用*匹配

path => ["/var/log/messages","/var/log/*.log"]
path => ["/data/mysql/mysql.log"]

 filter过滤设置

Logstash三个组件的第二个组件，也是真个Logstash工具中最复杂的一个组件，
当然，也是最有作用的一个组件。

1、grok插件 grok插件有非常强大的功能，他能匹配一切数据，但是他的性能和对资源的损耗同样让人诟病。

filter{
    grok{
        #首先要说明的是，所有文本数据都是在Logstash的message字段中的，我们要在过滤器里操作的数据就是message。
        #只说一个match属性，他的作用是从message 字段中把时间给抠出来，并且赋值给另个一个字段logdate。

        #第二点需要明白的是grok插件是一个十分耗费资源的插件。
        #第三点需要明白的是，grok有超级多的预装正则表达式，这里是没办法完全搞定的，也许你可以从这个大神的文章中找到你需要的表达式
        #http://blog.csdn.net/liukuan73/article/details/52318243
        #但是，我还是不建议使用它，因为他完全可以用别的插件代替，当然，对于时间这个属性来说，grok是非常便利的。

         match => ['message','%{TIMESTAMP_ISO8601:logdate}']
        } 
}

再看下match 另一种用法，将message中   ip、访问方法、url、数据量、持续时间   提取出来 
并赋值给 clientip、method、request、bytes、duration 字段

filter {
       grok {
      match => {"message"=>"%{IPORHOST:clientip}\s+%{WORD:method}\s+%{URIPATHPARAM:request}\s+%{NUMBER:bytes}\s+%{NUMBER:duration}"}
   }
}  

显示数据

{
       "message" => "9.9.8.6   GET /xx.hmtl 343 44", 
      "@version" => "1",
    "@timestamp" => "2017-01-18T00:12:37.490Z",
          "path" => "/home/elk/0204/nginx.log",
          "host" => "db01",
          "type" => "nginx",
      "clientip" => "9.9.8.6",
        "method" => "GET",
       "request" => "/xx.hmtl",
         "bytes" => "343",
      "duration" => "44" 
}  

继续修改，提取后删除message

filter {
       grok {
      match => {"message"=>"%{IPORHOST:clientip}\s+%{WORD:method}\s+%{URIPATHPARAM:request}\s+%{NUMBER:bytes}\s+%{NUMBER:duration}"}
       remove_field =>["message"]
   }
}  

显示结果

{
      "@version" => "",
    "@timestamp" => "2017-01-18T00:15:03.879Z",
          "path" => "/home/elk/0204/nginx.log",
          "host" => "db01",
          "type" => "nginx",
      "clientip" => "55.9.3.6",
        "method" => "GET",
       "request" => "/zz.xml",
         "bytes" => "",
      "duration" => ""
}  

比较常用的是 %{COMBINEDAPACHELOG}   是logstash自带的匹配模式，内置的正则，用来匹配apache access日志

filter {
grok {
    match => {
        "message" => "%{COMBINEDAPACHELOG}"
    }

    remove_field => "message"
   }
}

显示结果

{
  "_index": "logstash-2018.05.03",
  "_type": "apache_logs",
  "_id": "VFHkI2MBPZdRHaSpwnN-",
  "_version": ,
  "_score": null,
  "_source": {
    "agent": "\"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/55.0.2883.75 Safari/537.36 Maxthon/5.1.5.2000\"",
    "path": "/var/log/httpd/access_log",
    "referrer": "\"http://10.10.12.81/cacti/data_sources.php\"",
    "host": "cacti",
    "verb": "GET",
    "clientip": "10.0.7.99",
    "request": "/cacti/graphs.php",
    "auth": "-",
    "@version": "",
    "ident": "-",
    "httpversion": "1.1",
    "response": "",
    "bytes": "",
    "@timestamp": "2018-05-03T02:46:26.477Z",
    "timestamp": "03/May/2018:10:46:25 +0800"
  },
  "fields": {
    "@timestamp": [
      "2018-05-03T02:46:26.477Z"
    ]
  },
  "sort": [

  ]
}

其它插件暂时不讲……

 
output输入设置

输出到elasticserarch

 elasticsearch{
    hosts=>["10.10.10.11:9200"]        # elasticsearch 地址 端口
    action=>"index"                    # 索引
    index=>"indextemplate-logstash"    # 索引名称
    #document_type=>"%{@type}"
    document_id=>"ignore"  

    template=>"/opt/logstash-conf/es-template.json"    # 模板文件的路径
    template_name=>"es-template.json"                  # 在es内部模板的名字
    template_overwrite=>true                           # 

    protocol => "http"         #目前支持三种协议    node、http 和tranaport  

   }

写几个实例

1.配置文件

input {
file {
    path => ['/var/log/httpd/access_log']
    start_position => "beginning"
}
}
filter {
grok {
    match => {
        "message" => "%{COMBINEDAPACHELOG}"
    }

    remove_field => "message"
}
}
output {
elasticsearch {
    hosts => ["10.10.15.95:9200"]
    index => "12.81-cacti-%{+YYYY.MM.dd}"
    action => "index"
    document_type => "apache_logs"
              }
}

数据

{
"_index": "logstash-2018.05.03",
"_type": "apache_logs",
"_id": "U1HkI2MBPZdRHaSpMXPM",
"_version": ,
"_score": ,
"_source": {
"agent": ""Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/55.0.2883.75 Safari/537.36 Maxthon/5.1.5.2000"",
"path": "/var/log/httpd/access_log",
"referrer": ""http://10.10.12.81/cacti/include/themes/modern/jquery-ui.css"",
"host": "cacti",
"verb": "GET",
"clientip": "10.0.7.99",
"request": "/cacti/include/themes/modern/images/ui-icons_454545_256x240.png",
"auth": "-",
"@version": "",
"ident": "-",
"httpversion": "1.1",
"response": "",
"bytes": "",
"@timestamp": "2018-05-03T02:45:49.442Z",
"timestamp": "03/May/2018:10:45:49 +0800"
           }
}

2.一台机器上传输两种日志

input {
    file {
        path => "/var/log/messages"
        type => "system"
        start_position => "beginning"
    }
    file {
        path => "/var/log/elasticsearch/chuck-cluster.log"
        type => "es-error"
        start_position => "beginning"
    }
}
output {
    if [type] == "system" {
        elasticsearch {
            hosts => ["192.168.56.11:9200"]
            index => "system-%{+YYYY.MM.dd}"
        }
    }
    if [type] == "es-error" {
        elasticsearch {
            hosts => ["192.168.56.11:9200"]
            index => "es-error-%{+YYYY.MM.dd}"
        }
    }
}

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