创建自定义 GROK 模式

Question

目前，我正在尝试为此日志创建 grok 模式

2020-03-11 05:54:26,174 JMXINSTRUMENTS-Threading [{"timestamp":"1583906066","label":"Threading","ObjectName":"java.lang:type\u003dThreading","attributes":[{"name":"CurrentThreadUserTime","value":18600000000},{"name":"ThreadCount","value":152},{"name":"TotalStartedThreadCount","value":1138},{"name":"CurrentThreadCpuTime","value":20804323112},{"name":"PeakThreadCount","value":164},{"name":"DaemonThreadCount","value":136}]}]

目前我可以正确匹配直到 JMXINTRUMENTS-Threading 使用这个模式：

%{TIMESTAMP_ISO8601:timestamp} (?<instrument>[^\ ]*) ?%{GREEDYDATA:log_message}

但我似乎无法匹配此后的所有值。有人知道我应该使用什么模式吗？

Answer 1

我正在 https://grokdebug.herokuapp.com/（这是 logstash 的官方调试器）中尝试你的模式，它确实匹配 "JMXINTRUMENTS-Threading" 之后的所有内容与你在一个名为日志消息的大字段中的模式，在这个方式：

{
  "timestamp": [
    [
      "2020-03-11 05:54:26,174"
    ]
  ],
  "YEAR": [
    [
      "2020"
    ]
  ],
  "MONTHNUM": [
    [
      "03"
    ]
  ],
  "MONTHDAY": [
    [
      "11"
    ]
  ],
  "HOUR": [
    [
      "05",
      null
    ]
  ],
  "MINUTE": [
    [
      "54",
      null
    ]
  ],
  "SECOND": [
    [
      "26,174"
    ]
  ],
  "ISO8601_TIMEZONE": [
    [
      null
    ]
  ],
  "instrument": [
    [
      "JMXINSTRUMENTS-Threading"
    ]
  ],
  "log_message": [
    [
      "[{"timestamp":"1583906066","label":"Threading","ObjectName":"java.lang:type\u003dThreading","attributes":[{"name":"CurrentThreadUserTime","value":18600000000},{"name":"ThreadCount","value":152},{"name":"TotalStartedThreadCount","value":1138},{"name":"CurrentThreadCpuTime","value":20804323112},{"name":"PeakThreadCount","value":164},{"name":"DaemonThreadCount","value":136}]}]"
    ]
  ]
}

如果您希望匹配日志消息中包含的所有字段，您应该在 logstash 管道过滤器部分使用 json 过滤器，就在 grok 过滤器的正下方：

例如：

  grok {
     match => { "message" =>"%{TIMESTAMP_ISO8601:timestamp} (?<instrument>[^\ ]*) ?%{GREEDYDATA:log_message}" }
     tag_on_failure => ["no_match"]
  }
  if "no_match" not in [tags] {
    json {
      source => "log_message"
    }
  }

这样，您的 json 将按键拆分：值并进行解析。

编辑：

您可以尝试使用 kv 过滤器而不是 json，这里是文档：https://www.elastic.co/guide/en/logstash/current/plugins-filters-kv.html

grok {
     match => { "message" =>"%{TIMESTAMP_ISO8601:timestamp} (?<instrument>[^\ ]*) ?%{GREEDYDATA:log_message}" }
     tag_on_failure => ["no_match"]
  }
  if "no_match" not in [tags] {
    kv {
      source => "log_message"
      value_split => ":" 
      include_brackets => true #remove brackets
      remove_char_key => "\""
      remove_char_value => "\""
      field_split => ","
    }
  }

Answer 2

在 JSON 过滤器中定义不同的源和目标后，它对我有用。谢谢您的帮助！

filter {
    if "atlassian-jira-perf" in [tags] {
    grok {
     match => { "message" =>"%{TIMESTAMP_ISO8601:timestamp} (?<instrument>[^\ ]*) ?%{GREEDYDATA:log_message_raw}" }
     tag_on_failure => ["no_match"]
     add_tag => ["bananas"]
  }
  if "no_match" not in [tags] {
    json {
      source => "log_message_raw"
      target => "parsed"
    }
  }
  mutate {    
        remove_field => ["message"]
    }
}
}

创建自定义 GROK 模式

Creating a custom GROK pattern

logstash

jira

logstash-grok

elk

atlassian-crowd