使用 logstash（ELK 堆栈）解析 json答案

【问题标题】：Parsing json using logstash (ELK stack)使用 logstash（ELK 堆栈）解析 json
【发布时间】：2017-10-31 13:52:11
【问题描述】：

我已经创建了一个像下面这样的简单 json

[
    {
        "Name": "vishnu",
        "ID": 1
    },
    {
        "Name": "vishnu",
        "ID": 1
    }
]

我将此值保存在名为 simple.txt 的文件中。然后我使用file beat来监听文件并将新的更新发送到端口5043，另一方面我启动了监听这个端口的log-stash服务，以便解析json并将其传递给弹性搜索。 log-stash 没有处理 json 值，它挂在中间。

logstash

input {
  beats {
    port => 5043
    host => "0.0.0.0"
    client_inactivity_timeout => 3600
  }
}
filter {
  json {
    source => "message"
  }
}
output {
    stdout { codec => rubydebug }
}

filebeat 配置：

filebeat.prospectors:

    - input_type: log
      paths:
        - filepath
    output.logstash:
      hosts: ["localhost:5043"]

Logstash 输出

Sending Logstash's logs to D:/elasticdb/logstash-5.6.3/logstash-5.6.3/logs which is now configured via log4j2.properties
[2017-10-31T19:01:17,574][INFO ][logstash.modules.scaffold] Initializing module {:module_name=>"fb_apache", :directory=>"D:/elasticdb/logstash-5.6.3/logstash-5.6.3/modules/fb_apache/configuration"}
[2017-10-31T19:01:17,578][INFO ][logstash.modules.scaffold] Initializing module {:module_name=>"netflow", :directory=>"D:/elasticdb/logstash-5.6.3/logstash-5.6.3/modules/netflow/configuration"}
[2017-10-31T19:01:18,301][INFO ][logstash.pipeline        ] Starting pipeline {"id"=>"main", "pipeline.workers"=>2, "pipeline.batch.size"=>125, "pipeline.batch.delay"=>5, "pipeline.max_inflight"=>250}
[2017-10-31T19:01:18,388][INFO ][logstash.inputs.beats    ] Beats inputs: Starting input listener {:address=>"0.0.0.0:5043"}
[2017-10-31T19:01:18,573][INFO ][logstash.pipeline        ] Pipeline main started
[2017-10-31T19:01:18,591][INFO ][org.logstash.beats.Server] Starting server on port: 5043
[2017-10-31T19:01:18,697][INFO ][logstash.agent           ] Successfully started Logstash API endpoint {:port=>9600}

每次我使用命令运行 log-stash 时

logstash -f logstash.conf

由于没有处理 json，我按 ctrl + c 停止该服务。

请帮助我找到解决方案。提前致谢。

【问题讨论】：

也许filebeat已经读取了文件并发送了数据？（如果您不断地向文件中添加数据，则不是问题）。

标签： logstash elastic-stack filebeat logz.io

【解决方案1】：

最后我得到了这样的配置。它对我有用。

input 
{
    file 
    {
       codec => multiline
        {
            pattern => '^\{'
            negate => true
            what => previous                
        }
        path => "D:\elasticdb\logstash-tutorial.log\Test.txt"
        start_position => "beginning"       
        sincedb_path => "D:\elasticdb\logstash-tutorial.log\null"
        exclude => "*.gz"
    }
}

filter {
json {
source => "message"
remove_field => ["path","@timestamp","@version","host","message"]
}
}

output {
  elasticsearch { hosts => ["localhost"] 
  index => "logs"
  "document_type" => "json_from_logstash_attempt3"
  }
  stdout{}
}

Json 格式：

{"name":"sachin","ID":"1","TS":1351146569}
{"name":"sachin","ID":"1","TS":1351146569}
{"name":"sachin","ID":"1","TS":1351146569}

【讨论】：