Logstash 入门实战(4)--filter plugin 介绍

本文主要介绍 Logstash 的一些常用过滤插件；相关的环境及软件信息如下：CentOS7.9、Logstash 8.2.2。

1、grok 过滤插件

grok 是一种将行与正则表达式匹配，将行的特定部分映射到专用字段中以及根据此映射执行操作的方法。Logstash 中内置了超过 200 种Logstash 模式，用于过滤单词、数字和日期等。如果找不到所需的模式，可以自定义模式。还有多个匹配模式的选项，可简化表达式的编写以捕获日志数据。

Logstash grok 过滤插件的基本语法格式：

%{PATTERN:FieldName}

grok 可以非结构化的数据转变为结构化数据，非常适用于各类系统日志；下面使用Grok 来处理 Nginx访问日志。

一行 Nginx 访问日志：

10.49.196.1 - - [27/Sep/2022:10:16:15 +0800] "GET /favicon.ico HTTP/1.1" 404 555 "http://10.49.196.11:8066/" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36"

配置 Logstash：

input {
  stdin {
  }
}
filter {
  grok {
    match => { "message" => "%{IP:ip} - %{USER:remoteUser} \[%{HTTPDATE:accessTimeStr}\] \"%{WORD:method} %{URIPATHPARAM:path} %{WORD:protocal}/%{NUMBER:version}\" %{INT:status} %{INT:bytes} \"%{DATA:referer}\" \"%{DATA:userAgent}\""}
  }
}
output {
  stdout {
  }
}

运行 Logstash 后输入日志信息：

10.49.196.1 - - [27/Sep/2022:10:16:15 +0800] "GET /favicon.ico HTTP/1.1" 404 555 "http://10.49.196.11:8066/" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36"
{
           "method" => "GET",
             "host" => {
        "hostname" => "pxc2"
    },
    "accessTimeStr" => "27/Sep/2022:10:16:15 +0800",
        "userAgent" => "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36",
          "referer" => "http://10.49.196.11:8066/",
               "ip" => "10.49.196.1",
          "message" => "10.49.196.1 - - [27/Sep/2022:10:16:15 +0800] \"GET /favicon.ico HTTP/1.1\" 404 555 \"http://10.49.196.11:8066/\" \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36\"",
       "@timestamp" => 2022-09-27T02:31:13.852428Z,
            "bytes" => "555",
       "remoteUser" => "-",
         "@version" => "1",
            "event" => {
        "original" => "10.49.196.1 - - [27/Sep/2022:10:16:15 +0800] \"GET /favicon.ico HTTP/1.1\" 404 555 \"http://10.49.196.11:8066/\" \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36\""
    },
             "path" => "/favicon.ico",
           "status" => "404",
          "version" => "1.1",
         "protocal" => "HTTP"
}

可以看到各字段信息都解析出来了。

各正则表达式定义的详细信息，可以参考https://github.com/logstash-plugins/logstash-patterns-core/tree/main/patterns，如：

IPV6 ((([0-9A-Fa-f]{1,4}:){7}([0-9A-Fa-f]{1,4}|:))|(([0-9A-Fa-f]{1,4}:){6}(:[0-9A-Fa-f]{1,4}|((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(\.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3})|:))|(([0-9A-Fa-f]{1,4}:){5}(((:[0-9A-Fa-f]{1,4}){1,2})|:((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(\.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3})|:))|(([0-9A-Fa-f]{1,4}:){4}(((:[0-9A-Fa-f]{1,4}){1,3})|((:[0-9A-Fa-f]{1,4})?:((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(\.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3}))|:))|(([0-9A-Fa-f]{1,4}:){3}(((:[0-9A-Fa-f]{1,4}){1,4})|((:[0-9A-Fa-f]{1,4}){0,2}:((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(\.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3}))|:))|(([0-9A-Fa-f]{1,4}:){2}(((:[0-9A-Fa-f]{1,4}){1,5})|((:[0-9A-Fa-f]{1,4}){0,3}:((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(\.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3}))|:))|(([0-9A-Fa-f]{1,4}:){1}(((:[0-9A-Fa-f]{1,4}){1,6})|((:[0-9A-Fa-f]{1,4}){0,4}:((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(\.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3}))|:))|(:(((:[0-9A-Fa-f]{1,4}){1,7})|((:[0-9A-Fa-f]{1,4}){0,5}:((25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)(\.(25[0-5]|2[0-4]\d|1\d\d|[1-9]?\d)){3}))|:)))(%.+)?
IPV4 (?<![0-9])(?:(?:[0-1]?[0-9]{1,2}|2[0-4][0-9]|25[0-5])[.](?:[0-1]?[0-9]{1,2}|2[0-4][0-9]|25[0-5])[.](?:[0-1]?[0-9]{1,2}|2[0-4][0-9]|25[0-5])[.](?:[0-1]?[0-9]{1,2}|2[0-4][0-9]|25[0-5]))(?![0-9])
IP (?:%{IPV6}|%{IPV4})

2、dissect 过滤插件

基于分隔符原理解析数据，解决grok解析时消耗过多cpu资源的问题。使用分隔符将非结构化事件数据提取到字段中。解剖过滤器不使用正则表达式，速度非常快。但是，如果数据的结构因行而异，grok 过滤器更合适。dissect 的应用有一定的局限性：主要适用于每行格式相似且分隔符明确简单的场景。

dissect 语法比较简单，有一系列字段(field)和分隔符(delimiter)组成

%{}字段
%{}之间是分隔符

使用 Dissect 处理 Nginx 访问日志：

input {
  stdin {
  }
}
filter {
  dissect {
    mapping => { "message" => '%{ip} - %{remoteUser} [%{accessTimeStr} %{+accessTimeStr}] "%{method} %{path} %{protocal}/%{version
}" %{status} %{bytes} "%{referer}" "%{userAgent}"'}
  }
}
output {
  stdout {
  }
}

结果如下，与使用 grok 处理 Nginx 访问日志的结果一致：

10.49.196.1 - - [27/Sep/2022:10:16:15 +0800] "GET /favicon.ico HTTP/1.1" 404 555 "http://10.49.196.11:8066/" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36"
{
             "path" => "/favicon.ico",
           "status" => "404",
         "protocal" => "HTTP",
             "host" => {
        "hostname" => "pxc2"
    },
            "bytes" => "555",
        "userAgent" => "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36",
         "@version" => "1",
            "event" => {
        "original" => "10.49.196.1 - - [27/Sep/2022:10:16:15 +0800] \"GET /favicon.ico HTTP/1.1\" 404 555 \"http://10.49.196.11:8066/\" \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36\""
    },
          "referer" => "http://10.49.196.11:8066/",
    "accessTimeStr" => "27/Sep/2022:10:16:15 +0800",
          "message" => "10.49.196.1 - - [27/Sep/2022:10:16:15 +0800] \"GET /favicon.ico HTTP/1.1\" 404 555 \"http://10.49.196.11:8066/\" \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36\"",
           "method" => "GET",
          "version" => "1.1",
       "@timestamp" => 2022-09-27T09:28:36.042881Z,
       "remoteUser" => "-",
               "ip" => "10.49.196.1"
}

dissect 除了字段外面的字符串定位功能以外，还通过几个特殊符号来处理字段提取的规则：

%{+key}+代表该匹配值追加到 key 字段下

%{ts} %{+ts} %{+ts}
Apr 26 12:20:02
{
    "ts":"Apr 26 12:20:02"
}

%{+key/2}后面的数字代表拼接的次序

%{+order/2} %{+order/3} %{+order/1} %{+order/4}
two three one go
{
    "order": "one two three go"
}

%{} 表示一个空的跳过字段

%{a} %{} %{b}
1 2 3
{"a":"1","b":"3"}

%{?key} ?表示，这块只是一个占位，并不会实际生成捕获字段存到事件里面。
%{?key} %{&key}当同样捕获名称都是string，但是一个?一个&的时候，表示这是一个键值对。

%{?key1}=%{&key1}&%{?key2}=%{&key2}
a=1&b=2
{"a":"1","b":"2"}

%{key->}，表示忽略它右边的填充，否则右边的多余填充将拆分到下一个字段中。

%{a} %{b->} %{c}
1 2         3
{"a":"1","b":"2","c":"3"}

#去除->后，会把多余的空格匹配到 c 中
%{a} %{b} %{c}
1 2         3
{"a":"1","b":"2","c":"        3"}

3、date 过滤插件

date 过滤插件可以把字符串的日期字段转为日期类型。

input {
  stdin {
    codec => "json"
  }
}
filter {
  date {
    match => ["accessTimeStr", "dd/MMM/yyyy:HH:mm:ss Z"]
    target => "accessTime"
  }
}
output {
  stdout {
  }
}

上述配置把 accessTimeStr 字段的值转成日期类型，并写入accessTime 字段(默认为 @timestamp 字段)。运行 Logstash：

{"accessTimeStr": "27/Sep/2022:10:16:15 +0800"}
{
            "event" => {
        "original" => "{\"accessTimeStr\": \"27/Sep/2022:10:16:15 +0800\"}\n"
    },
             "host" => {
        "hostname" => "pxc2"
    },
       "@timestamp" => 2022-09-27T07:21:00.181981Z,
       "accessTime" => 2022-09-27T02:16:15Z,
         "@version" => "1",
    "accessTimeStr" => "27/Sep/2022:10:16:15 +0800"
}

4、mutate 过滤插件

mutate 插件可以对字段进行重命名、删除、替换、更新等操作：

convert 类型转换
gsub 字符串替换
split 字符串分割
join 数组合转为字符串
merge 数组合并为数组
rename 字段重命名
update 字段内容更新，如果字段不存在，则不处理
replace 字段内容替换，如果字段不存在，则新增字段

input {
  stdin {
    codec => "json"
  }
}
filter {
  mutate {
    convert => {"a" => "integer"}
    gsub => ["b", "_", "|"]  #"_"替换为"|"
    split => {"c" => ","}
    join => {"d" => ","}
    merge => {"e1" => "e2"} #数组e2的元素合并到e1数组中
    rename => {"f" => "ff"}
    update => {"g" => "new value"}
    replace => {"h" => "new value"}
  }
}
output {
  stdout {
  }
}

启动 Logstash 并在控制输入测试数据：

{"a":"1","b":"A_B_C","c":"X,Y,Z","d":[1,2,3],"e1":[1,2,3],"e2":[4,5,6],"f":"ABC","g":"123"}
{
             "d" => "1,2,3",
            "e1" => [
        [0] 1,
        [1] 2,
        [2] 3,
        [3] 4,
        [4] 5,
        [5] 6
    ],
            "e2" => [
        [0] 4,
        [1] 5,
        [2] 6
    ],
             "c" => [
        [0] "X",
        [1] "Y",
        [2] "Z"
    ],
         "event" => {
        "original" => "{\"a\":\"1\",\"b\":\"A_B_C\",\"c\":\"X,Y,Z\",\"d\":[1,2,3],\"e1\":[1,2,3],\"e2\":[4,5,6],\"f\":\"ABC\",\"g\":\"123\"}\n"
    },
            "ff" => "ABC",
    "@timestamp" => 2022-09-28T02:45:26.305729Z,
             "b" => "A|B|C",
      "@version" => "1",
          "host" => {
        "hostname" => "pxc2"
    },
             "h" => "new value",
             "g" => "new value",
             "a" => 1
}

5、json 过滤插件

json 插件可以把内容为 json 字符串的字段转换为 json 格式数据。

input {
  stdin {
  }
}
filter {
  json {
    source => "message"
    target => "result"
  }
}
output {
  stdout {
  }
}

启动 Logstash 并在控制输入测试数据：

{"a":"1","b":"2"}
{
       "message" => "{\"a\":\"1\",\"b\":\"2\"}",
         "event" => {
        "original" => "{\"a\":\"1\",\"b\":\"2\"}"
    },
      "@version" => "1",
    "@timestamp" => 2022-09-28T03:20:35.827102Z,
        "result" => {
        "b" => "2",
        "a" => "1"
    },
          "host" => {
        "hostname" => "pxc2"
    }
}

6、ruby 过滤插件

ruby 插件时最灵活的插件，可以使用 ruby 来随心所欲的修改 Logstash Event 对象。

input {
  stdin {
    codec = "json"
  }
}
filter {
  ruby {
    code => 'a = event.get("a");event.set("a", a + 123")'
  }
}
output {
  stdout {
  }
}

启动 Logstash 并在控制输入测试数据：

{"a":"1","b":"2"}
{
          "host" => {
        "hostname" => "pxc2"
    },
             "b" => "2",
             "a" => "1abc",
      "@version" => "1",
         "event" => {
        "original" => "{\"a\":\"1\",\"b\":\"2\"}\n"
    },
    "@timestamp" => 2022-09-28T06:01:35.180939Z
}

本文中介绍的插件只是 Logstash 输入插件的很小的一部分，可查看Logstash 官方文档了解更多信息。

标签 2022, BIN, Cut, HTML, js, sage, Stat, 修改, 效率, 流程, 算法, 资源, 转换, 配置文件, 问题

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Logstash 入门实战(4)--filter plugin 介绍

1、grok 过滤插件

2、dissect 过滤插件

3、date 过滤插件

4、mutate 过滤插件

5、json 过滤插件

6、ruby 过滤插件

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