Question

我正在使用“经过的”过滤器。我阅读了logstash中的经过过滤器指南。然后，我制作了一个示例配置文件和csv，以测试经过过滤器的工作。但这似乎不起作用。将数据上传到ES并没有改变。我已经附上了csv文件和配置代码。您能否举一些使用过的过滤器的示例。

这是我的csv数据：

这是我的配置文件：

input {
     file {
      path => "/home/paulsteven/log_cars/aggreagate.csv"
      start_position => "beginning"
      sincedb_path => "/dev/null"
   }
}
filter {
    csv {
        separator => ","
        quote_char => "%"
        columns => ["state","city","haps","ads","num_id","serial"]
    }
    elapsed {
        start_tag => "taskStarted"
        end_tag => "taskEnded"
        unique_id_field => "num_id"
    }

}
output {
  elasticsearch {
    hosts => "localhost:9200"
    index => "el03"
    document_type => "details"
  }
  stdout{}
}

ES中的输出：

{
          "city" => "tirunelveli",
          "path" => "/home/paulsteven/log_cars/aggreagate.csv",
        "num_id" => "2345-1002-4501",
       "message" => "tamil nadu,tirunelveli,hap0,ad1,2345-1002-4501,1",
      "@version" => "1",
        "serial" => "1",
          "haps" => "hap0",
         "state" => "tamil nadu",
          "host" => "smackcoders",
           "ads" => "ad1",
    "@timestamp" => 2019-05-06T10:03:51.443Z
}
{
          "city" => "chennai",
          "path" => "/home/paulsteven/log_cars/aggreagate.csv",
        "num_id" => "2345-1002-4501",
       "message" => "tamil nadu,chennai,hap0,ad1,2345-1002-4501,5",
      "@version" => "1",
        "serial" => "5",
          "haps" => "hap0",
         "state" => "tamil nadu",
          "host" => "smackcoders",
           "ads" => "ad1",
    "@timestamp" => 2019-05-06T10:03:51.447Z
}
{
          "city" => "kottayam",
          "path" => "/home/paulsteven/log_cars/aggreagate.csv",
        "num_id" => "2345-1002-4501",
       "message" => "kerala,kottayam,hap1,ad2,2345-1002-4501,9",
      "@version" => "1",
        "serial" => "9",
          "haps" => "hap1",
         "state" => "kerala",
          "host" => "smackcoders",
           "ads" => "ad2",
    "@timestamp" => 2019-05-06T10:03:51.449Z
}
{
          "city" => "Jalna",
          "path" => "/home/paulsteven/log_cars/aggreagate.csv",
        "num_id" => "2345-1002-4501",
       "message" => "mumbai,Jalna,hap2,ad3,2345-1002-4501,13",
      "@version" => "1",
        "serial" => "13",
          "haps" => "hap2",
         "state" => "mumbai",
          "host" => "smackcoders",
           "ads" => "ad3",
    "@timestamp" => 2019-05-06T10:03:51.452Z
}

Answer 1

您必须标记事件，以便Logstash可以找到开始/结束标记。基本上，您必须知道何时将事件视为开始事件，何时将其视为结束事件。

经过的过滤器插件仅适用于两个事件（例如，请求事件和响应事件，以便获得它们之间的延迟）这两种事件都需要拥有一个ID字段，以唯一地标识该特定任务。该字段的名称存储在unique_id_field中。

对于您的示例，您必须标识开始和结束事件的模式，假设您在csv中当 type type （请参见下面的代码）。 >包含“ START”，则该行被视为开始事件，如果包含“ END”，则该行是结束事件，非常简单，还有一个存储唯一标识符的列 id 。

filter {
  csv {
    separator => ","
    quote_char => "%"
    columns => ["state","city","haps","ads","num_id","serial", "type", "id"]
    }
  grok {
    match => { "type" => ".*START.*" }
    add_tag => [ "taskStarted" ]
  }grok {
  match => { "type" => ".*END*" }
  add_tag => [ "taskTerminated" ]
}  elapsed {
    start_tag => "taskStarted"
    end_tag => "taskTerminated"
    unique_id_field => "id"
  }
}

我觉得您的需求与众不同。例如，如果要聚合两个以上的事件，所有事件的列状态值都相同，请签出this plugin

如何使用经过的过滤器-logstash

1 个答案: