• ELK日志框架(2):log4net.ElasticSearch+ Kibana实现日志记录和显示


    环境说明

    1. windows server 2012 R2 64位

    2. log4net.ElasticSearch

    3. kibana-5.5.0-windows-x86.zip

    架构说明

    数据采集有两种方案Beats或Logstash,Logstash支持很多种数据源,有log4j但没有log4net,本想使用log4net.redis+redis+logstash的方式实现日志收集。无意间发现了 log4net.ElasticSearch可以直接写日志到ES,经过测试非常好用、方便。

    log4net.ElasticSearch is a module for the log4net library to log messages to the ElasticSearch document database. ElasticSearch offers robust full-text searching an analyzation so that errors and messages can be indexed quickly and searched easily.

    Features:

    • Supports .NET 4.0+
    • Easy installation and setup via Nuget
    • Full support for the Elasticsearch _bulk API for buffered logging

    安装kibana

    1.下载kibana

    首先下载windows版本的kibana文件,地址:https://artifacts.elastic.co/downloads/kibana/kibana-5.5.0-windows-x86.zip,解压到E:elkkibana目录

    2.配置Kibana

    打开配置文件E:elkkibanaconfigkibana.yml,修改server.host和server.host,如下:

    server.host: "192.168.5.175"
    
    elasticsearch.url: "http://192.168.5.175:9200"

    3.运行Kibana

    命令行下执行E:elkkibanainkibana.bat文件

     使用log4net.ElasticSearch

    1.安装log4net.ElasticSearch

    log4net.ElasticSearch可以通过Nuget安装,要注意保持和正在使用的log4net版本一致

    Install-Package log4net.ElasticSearch -Version 2.3.4

     log4net.ES.Example是一个测试Demo,修改配置后就能使用。

    2.配置log4net.config文件

     <!-- Default style appender. You can change the name but make sure you reference it corectly. Change the type if you're using .NET 4.0 -->
        <appender name="ElasticSearchAppender" type="log4net.ElasticSearch.ElasticSearchAppender, log4net.ElasticSearch">
          <layout type="log4net.Layout.PatternLayout,log4net">
            <param name="ConversionPattern" value="%d{ABSOLUTE} %-5p %c{1}:%L - %m%n" />
          </layout>
          
          <!-- You can also use scheme, user, password here if you need https and http authentication, see the docs -->
          <connectionString value="Server=192.168.5.175;Index=log;Port=9200;rolling=true"/>
          
          <!-- false means do not eject older messages when the buffer is full, try to keep them all. -->
          <lossy value="false" />
          
          <!-- Any buffer > 1 will use the Elasticsearch _bulk API. Tune as needed depending on how high volume your app is and how fast you want messages to show up in ES -->
          <bufferSize value="1" />
          
          <!-- When an event comes in that matches or is above the treshold, the buffer will flush. I don't reccommend setting to "ALL" or it will defeat the purpose of having a buffer -->
          <evaluator type="log4net.Core.LevelEvaluator">
            <threshold value="ALL"/>
          </evaluator>
        </appender>
    Index=log:索引的名字
    rolling=true:每天生成一个索引,比如log-2017.07.13
    bufferSize :批量提交到ES,这里为了演示设置成1
      
        <!-- Common to all log4net configs. See log4net docs for more details  -->
        <root>
          <level value="ALL"/>
          <appender-ref ref="ElasticSearchAppender" />
        </root>

    2.写入日志

    运行测试程序,即可写入几条日志到ES中。

    --查询索引列表
    http://192.168.5.175:9200/_cat/indices
    返回值:
    yellow open log-2017.07.13 UBT3YG2qQpWkfJKRNw-XCQ 5 1 1 0 16.5kb 16.5kb
    yellow open log-2017.07.07 pMXjGKkiRRSsrBdl5qNlNw 5 1 4 0 62.6kb 62.6kb

    --查询索引内容
    http://192.168.5.175:9200/log-2017.07.13/_search?q=*
    返回值:
    {
      "took": 1,
      "timed_out": false,
      "_shards": {
        "total": 5,
        "successful": 5,
        "failed": 0
      },
      "hits": {
        "total": 1,
        "max_score": 1,
        "hits": [
          {
            "_index": "log-2017.07.13",
            "_type": "logEvent",
            "_id": "AV05k9nbXp-PycfFP2XN",
            "_score": 1,
            "_source": {
              "timeStamp": "2017-07-13T01:32:53.9948595Z",
              "message": "System Error",
              "messageObject": {},
              "exception": {
                "Type": "System.Exception",
                "Message": "Something terrible happened.",
                "HelpLink": null,
                "Source": null,
                "HResult": -2146233088,
                "StackTrace": null,
                "Data": {},
                "InnerException": null
              },
              "loggerName": "log4net.ES.Example.Program",
              "domain": "log4net.ES.Example.exe",
              "identity": "",
              "level": "ERROR",
              "className": "log4net.ES.Example.Program",
              "fileName": "F:\soft\elk\log4net.ES.Example-master\log4net.ES.Example\Program.cs",
              "lineNumber": "18",
              "fullInfo": "log4net.ES.Example.Program.Main(F:\soft\elk\log4net.ES.Example-master\log4net.ES.Example\Program.cs:18)",
              "methodName": "Main",
              "fix": "LocationInfo, UserName, Identity, Partial",
              "properties": {
                "log4net:Identity": "",
                "log4net:UserName": "BJ-BL\Administrator",
                "log4net:HostName": "BJ-BL",
                "@timestamp": "2017-07-13T01:32:53.9948595Z"
              },
              "userName": "BJ-BL\Administrator",
              "threadName": "1",
              "hostName": "BJ-BL"
            }
          }
        ]
      }
    }

    日志字段非常全。。。。很赞

    配置kibana

    1.创建索引模式

    打开kibana,http://192.168.5.175:5601。

    点击Management=>Index Patterns=>Create Index Pattern,输入log-*就可以匹配上log-yyyy.mm.dd的索引了。

    2.查询日志

    点击Discover,选中log-*索引,就可以查询日志了。

    
    

    总结

    ELK日志框架已经搭建完成,这里的L变成了Log4net,ES和Kibana的熟练使用还需要时间去积累。Logstash的插件功能真是强大,也写了几个简单的配置文件实现输入输出的转化,如下:

    input { 
      redis {
            host => "192.168.5.175"    
            port => 6379  
            data_type => "list"     
            key => "logstash" 
            codec=> json
        }
    
     }
    output {
      elasticsearch { 
      hosts => ["192.168.5.175:9200"] 
      }
      stdout { codec => rubydebug }
    }
    logstash-redis2es.conf
    input { stdin { } }
    output {
      elasticsearch { hosts => ["192.168.5.175:9200"] }
      stdout { codec => rubydebug }
    }
    logstash-simple.conf
    input { stdin { } }
    output {
      elasticsearch { hosts => ["192.168.5.175:9200"] }
      file{path=>[
      "stdin-log.txt"
      ]}
      stdout { codec => rubydebug }
    }
    logstash-stdin2file.conf
    input { stdin { } }
    output {
      redis {
            host => "192.168.5.175"    
            port => 6379  
            data_type => "channel"     
            key => "logstash_list_0"  
        }
       
      stdout { codec => rubydebug }
    }
    logstash-stdin2redis.conf

    用到的参考资料如下:

    1.https://www.digitalocean.com/community/tutorials/how-to-use-kibana-dashboards-and-visualizations#kibana-dashboard

    2.https://www.elastic.co/guide/en/logstash/current/plugins-inputs-redis.html#_description_30

    3.https://www.elastic.co/products/kibana,需要一行一行仔细看

    4.ELK部署详解,CentOS7环境

    5.logstash配合redis实例 

    6.转:ElasticSearch 索引查询使用指南——详细版

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  • 原文地址:https://www.cnblogs.com/zeroes/p/elk-log4net-kibana.html
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