Filebeat快速入门

本笔记整理于https://www.elastic.co/guide/en/beats/filebeat/current/filebeat-installation.html,仅做个人学习总结使用。

Filebeat是轻量级日志采集工具,经常与ELK搭配使用,作为数据采集源头使用。

filebeat使用示意图

安装部署

Centos7(作者使用)

由于下载太慢了,所以我这里保存了一个下载好的版本(filebeat-6.3.2-linux-x86_64.tar),如果使用请自取:https://quqi.gblhgk.com/s/1727102/vafFOSOsw5AXKP3d

上传到服务器,解压即可

deb(未尝试):

  1. curl -L -O https://artifacts.elastic.co/downloads/beats/filebeat/filebeat-7.6.1-amd64.deb
  2. sudo dpkg -i filebeat-7.6.1-amd64.deb

rpm(未尝试):

  1. curl -L -O https://artifacts.elastic.co/downloads/beats/filebeat/filebeat-7.6.1-x86_64.rpm
  2. sudo rpm -vi filebeat-7.6.1-x86_64.rpm

mac(未尝试):

  1. curl -L -O https://artifacts.elastic.co/downloads/beats/filebeat/filebeat-7.6.1-darwin-x86_64.tar.gz
  2. tar xzvf filebeat-7.6.1-darwin-x86_64.tar.gz

linux(未尝试):

  1. curl -L -O https://artifacts.elastic.co/downloads/beats/filebeat/filebeat-7.6.1-linux-x86_64.tar.gz
  2. tar xzvf filebeat-7.6.1-linux-x86_64.tar.gz

Windows(未尝试):

  1. 下载 https://download.elastic.co/beats/filebeat/filebeat-5.0.0-windows.zip

  2. 解压到 C:\Program Files

  3. 重命名 filebeat-5.0.0-windows 目录为 Filebeat

  4. 右键点击 PowerSHell 图标,选择『以管理员身份运行』

  5. 运行下列命令,将 Filebeat 安装成 windows 服务:

  1. PS > cd 'C:\Program Files\Filebeat'
  2. PS C:\Program Files\Filebeat> .\install-service-filebeat.ps1

注意

可能需要额外授予执行权限。命令为:PowerShell.exe -ExecutionPolicy RemoteSigned -File .\install-service-filebeat.ps1

快速使用

作者环境:centos7、JDK8、filebeat-6.3.2、logstash-6.5.1

filebeat.yml配置

修改filebeat.yml配置文件,主要修改节点【filebeat.inputs、 paths、 include_lines、name、(output.logstash)】

按需修改,我这里配置filebeat需要监听【 /shaofei/logs】文件夹下后缀为[.log]的文件,监听的关键字是【'Exception','用户登录异常'】,

注意: 如果需要监听中文,需要保证文件编码为UTF-8。或者使用【encoding】指定所监听的文件编码

我配置了name: 为"study128",我这里使用Logstash作为它的输出端【 Logstash output 】,即使没有接收端来接收filebeat输出的日志也不会影响filebeat的启动

修改配置文件的时候一定要注意yml的格式

  1. ###################### Filebeat Configuration Example #########################
  2. # This file is an example configuration file highlighting only the most common
  3. # options. The filebeat.reference.yml file from the same directory contains all the
  4. # supported options with more comments. You can use it as a reference.
  5. #
  6. # You can find the full configuration reference here:
  7. # https://www.elastic.co/guide/en/beats/filebeat/index.html
  8. # For more available modules and options, please see the filebeat.reference.yml sample
  9. # configuration file.
  10. #=========================== Filebeat inputs =============================
  11. filebeat.inputs:
  12. # Each - is an input. Most options can be set at the input level, so
  13. # you can use different inputs for various configurations.
  14. # Below are the input specific configurations.
  15. - type: log
  16. # Change to true to enable this input configuration.
  17. enabled: true
  18. # Paths that should be crawled and fetched. Glob based paths.
  19. paths:
  20. - /filebeat/testlogs/input/*.log
  21. include_lines: ['Exception','用户登录异常']
  22. #- c:\programdata\elasticsearch\logs\*
  23. #encoding: gbk
  24. # Exclude lines. A list of regular expressions to match. It drops the lines that are
  25. # matching any regular expression from the list.
  26. #exclude_lines: ['^DBG']
  27. # Include lines. A list of regular expressions to match. It exports the lines that are
  28. # matching any regular expression from the list.
  29. #include_lines: ['^ERR', '^WARN']
  30. # Exclude files. A list of regular expressions to match. Filebeat drops the files that
  31. # are matching any regular expression from the list. By default, no files are dropped.
  32. #exclude_files: ['.gz$']
  33. # Optional additional fields. These fields can be freely picked
  34. # to add additional information to the crawled log files for filtering
  35. #fields:
  36. # level: debug
  37. # review: 1
  38. ### Multiline options
  39. # Mutiline can be used for log messages spanning multiple lines. This is common
  40. # for Java Stack Traces or C-Line Continuation
  41. # The regexp Pattern that has to be matched. The example pattern matches all lines starting with [
  42. #multiline.pattern: ^\[
  43. # Defines if the pattern set under pattern should be negated or not. Default is false.
  44. #multiline.negate: false
  45. # Match can be set to "after" or "before". It is used to define if lines should be append to a pattern
  46. # that was (not) matched before or after or as long as a pattern is not matched based on negate.
  47. # Note: After is the equivalent to previous and before is the equivalent to to next in Logstash
  48. #multiline.match: after
  49. multiline:
  50. tail_files: true
  51. #============================= Filebeat modules ===============================
  52. filebeat.config.modules:
  53. # Glob pattern for configuration loading
  54. path: ${path.config}/modules.d/*.yml
  55. # Set to true to enable config reloading
  56. reload.enabled: false
  57. # Period on which files under path should be checked for changes
  58. #reload.period: 10s
  59. #==================== Elasticsearch template setting ==========================
  60. #setup.template.settings:
  61. #index.number_of_shards: 3
  62. #index.codec: best_compression
  63. #_source.enabled: false
  64. #================================ General =====================================
  65. # The name of the shipper that publishes the network data. It can be used to group
  66. # all the transactions sent by a single shipper in the web interface.
  67. name: "study128"
  68. # The tags of the shipper are included in their own field with each
  69. # transaction published.
  70. #tags: ["service-X", "web-tier"]
  71. # Optional fields that you can specify to add additional information to the
  72. # output.
  73. #fields:
  74. # env: staging
  75. #============================== Dashboards =====================================
  76. # These settings control loading the sample dashboards to the Kibana index. Loading
  77. # the dashboards is disabled by default and can be enabled either by setting the
  78. # options here, or by using the `-setup` CLI flag or the `setup` command.
  79. #setup.dashboards.enabled: false
  80. # The URL from where to download the dashboards archive. By default this URL
  81. # has a value which is computed based on the Beat name and version. For released
  82. # versions, this URL points to the dashboard archive on the artifacts.elastic.co
  83. # website.
  84. #setup.dashboards.url:
  85. #============================== Kibana =====================================
  86. # Starting with Beats version 6.0.0, the dashboards are loaded via the Kibana API.
  87. # This requires a Kibana endpoint configuration.
  88. #setup.kibana:
  89. # Kibana Host
  90. # Scheme and port can be left out and will be set to the default (http and 5601)
  91. # In case you specify and additional path, the scheme is required: http://localhost:5601/path
  92. # IPv6 addresses should always be defined as: https://[2001:db8::1]:5601
  93. #host: "localhost:5601"
  94. #============================= Elastic Cloud ==================================
  95. # These settings simplify using filebeat with the Elastic Cloud (https://cloud.elastic.co/).
  96. # The cloud.id setting overwrites the `output.elasticsearch.hosts` and
  97. # `setup.kibana.host` options.
  98. # You can find the `cloud.id` in the Elastic Cloud web UI.
  99. #cloud.id:
  100. # The cloud.auth setting overwrites the `output.elasticsearch.username` and
  101. # `output.elasticsearch.password` settings. The format is `<user>:<pass>`.
  102. #cloud.auth:
  103. #================================ Outputs =====================================
  104. # Configure what output to use when sending the data collected by the beat.
  105. #-------------------------- Elasticsearch output ------------------------------
  106. #output.elasticsearch:
  107. # Array of hosts to connect to.
  108. #hosts: ["localhost:9200"]
  109. # Optional protocol and basic auth credentials.
  110. #protocol: "https"
  111. #username: "elastic"
  112. #password: "changeme"
  113. #----------------------------- Logstash output --------------------------------
  114. output.logstash:
  115. # The Logstash hosts
  116. hosts: ["127.0.0.1:10515"]
  117. # Optional SSL. By default is off.
  118. # List of root certificates for HTTPS server verifications
  119. #ssl.certificate_authorities: ["/etc/pki/root/ca.pem"]
  120. # Certificate for SSL client authentication
  121. #ssl.certificate: "/etc/pki/client/cert.pem"
  122. # Client Certificate Key
  123. #ssl.key: "/etc/pki/client/cert.key"
  124. #================================ Logging =====================================
  125. # Sets log level. The default log level is info.
  126. # Available log levels are: error, warning, info, debug
  127. #logging.level: debug
  128. # At debug level, you can selectively enable logging only for some components.
  129. # To enable all selectors use ["*"]. Examples of other selectors are "beat",
  130. # "publish", "service".
  131. #logging.selectors: ["*"]
  132. #============================== Xpack Monitoring ===============================
  133. # filebeat can export internal metrics to a central Elasticsearch monitoring
  134. # cluster. This requires xpack monitoring to be enabled in Elasticsearch. The
  135. # reporting is disabled by default.
  136. # Set to true to enable the monitoring reporter.
  137. #xpack.monitoring.enabled: false
  138. # Uncomment to send the metrics to Elasticsearch. Most settings from the
  139. # Elasticsearch output are accepted here as well. Any setting that is not set is
  140. # automatically inherited from the Elasticsearch output configuration, so if you
  141. # have the Elasticsearch output configured, you can simply uncomment the
  142. # following line.
  143. #xpack.monitoring.elasticsearch:
  144. #scan_frequency: 30s
  145. #----------------------------- kafka output --------------------------------
  146. #output.kafka:
  147. # enabled: true
  148. # hosts: ["132.228.248.201:9092","132.228.248.202:9092","132.228.248.203:9092"]
  149. # topic: ETE_CBA_ZZQS_LOG_ERROR
  150. # version: 0.10.0.1

启动filebeat

  1. ./filebeat -e -c filebeat.yml -d "publish"

由于filebeat.yml启动会报错,执行修改filebeat.yml的权限(使用其建议的命令即可)

启动成功

注意: 要保证filebeat.yml配置的采集路径是有读取权限的!

测试采集是否成功

  1. 在指定目录下创建测试日志
  1. echo "
  2. 2020-03-27 16:51:25,422 ERROR com.quxuecx.Start ->net.sf.json.JSONException: JSONObject["matchID"] not found.
  3. 2020-03-27 16:51:25,422 ERROR com.quxuecx.Start ->net.sf.json.JSONException: JSONObject["matchID"] not found.
  4. 2020-03-27 16:51:25,422 ERROR com.quxuecx.Start ->net.sf.json.JSONException: JSONObject["matchID"] not found.
  5. ">>b.log
  1. 成功

注意: 如果没有看到上述采集成功的图片,请仔细检查filebeat.yml配置文件以及所监听路径和文件的权限是否可以读取。

注意: 文件的内容,必须为log日志格式以及包括你所监听的关键字,请注意。

对接logstash测试

特别注意: filebeat.yml中配置的output.logstash: hosts: ["127.0.0.1:10515"]其中10515这个端口要和logstash配置文件中input filebeat的端口一致。

logstash的概述请查看>> https://blog.csdn.net/pyfysf/article/details/100942174

logstash的配置文件log_error.conf

  1. input {
  2. # 配置filebeat
  3. beats {
  4. port => 10515
  5. }
  6. }
  7. filter {
  8. }
  9. output {
  10. # 配置输出到文件中
  11. file{
  12. path=>"/home/shaofei/output.log"
  13. }
  14. #配置输出到控制台
  15. stdout{
  16. codec=>rubydebug
  17. }
  18. }

启动logstash

  1. ./bin/logstash -rf ./config/log_error.conf

配置文件log_error.conf

  1. input {
  2. # 配置filebeat
  3. beats {
  4. port => 10515
  5. }
  6. }
  7. filter {
  8. }
  9. output {
  10. # 配置输出到文件中
  11. file{
  12. path=>"/home/shaofei/output.log"
  13. }
  14. #配置输出到控制台
  15. stdout{
  16. codec=>rubydebug
  17. }
  18. }

启动logstash

  1. ./bin/logstash -rf ./config/log_error.conf

Filebeat快速入门的更多相关文章

  1. ElasticSearch实战系列八: Filebeat快速入门和使用---图文详解

    前言 本文主要介绍的是ELK日志系统中的Filebeat快速入门教程. ELK介绍 ELK是三个开源软件的缩写,分别表示:Elasticsearch , Logstash, Kibana , 它们都是 ...

  2. Elastic FileBeat 快速入门

    背景 用过ELK(Elasticsearch, Logstash, Kibana)的人应该都面临过同样的问题,Logstash虽然功能强大:支持许多的input/output plugin.强大的fi ...

  3. ELK快速入门(四)filebeat替代logstash收集日志

    ELK快速入门四-filebeat替代logstash收集日志 filebeat简介 Filebeat是轻量级单用途的日志收集工具,用于在没有安装java的服务器上专门收集日志,可以将日志转发到log ...

  4. logstash快速入门实战指南-Logstash简介

    作者其他ELK快速入门系列文章 Elasticsearch从入门到精通 Kibana从入门到精通 Logstash是一个具有实时流水线功能的开源数据收集引擎.Logstash可以动态统一来自不同来源的 ...

  5. Kubernetes快速入门

    二.Kubernetes快速入门 (1)Kubernetes集群的部署方法及部署要点 (2)部署Kubernetes分布式集群 (3)kubectl使用基础 1.简介 kubectl就是API ser ...

  6. EFK教程 - EFK快速入门指南

    通过部署elasticsearch(三节点)+filebeat+kibana快速入门EFK,并搭建起可用的demo环境测试效果 作者:"发颠的小狼",欢迎转载与投稿 目录 ▪ 用途 ...

  7. ElasticSearch实战系列六: Logstash快速入门和实战

    前言 本文主要介绍的是ELK日志系统中的Logstash快速入门和实战 ELK介绍 ELK是三个开源软件的缩写,分别表示:Elasticsearch , Logstash, Kibana , 它们都是 ...

  8. Web Api 入门实战 (快速入门+工具使用+不依赖IIS)

    平台之大势何人能挡? 带着你的Net飞奔吧!:http://www.cnblogs.com/dunitian/p/4822808.html 屁话我也就不多说了,什么简介的也省了,直接简单概括+demo ...

  9. SignalR快速入门 ~ 仿QQ即时聊天,消息推送,单聊,群聊,多群公聊(基础=》提升)

     SignalR快速入门 ~ 仿QQ即时聊天,消息推送,单聊,群聊,多群公聊(基础=>提升,5个Demo贯彻全篇,感兴趣的玩才是真的学) 官方demo:http://www.asp.net/si ...

随机推荐

  1. 百度测试架构师眼中的百度QA

    百度测试架构师眼中的百度QA(一)   发表于2013-04-09 15:31| 4004次阅读| 来源架构师Jack的个人空间| 13 条评论| 作者董杰 百度测试QA 摘要:一直以来百度质量部在业 ...

  2. PHP manual-mysqli-connections-翻译

    PHP manual-mysqli-connections MySQL服务器支持使用不同的传输层进行连接. 连接可以使用TCP / IP,Unix域套接字或Windows命名管道. 主机名localh ...

  3. javascript中你可能遇到的隐式调用

    前言 不知道用隐式调用来形容是否确切,其行为总是隐藏在背后,时不时出来露脸一下,作用貌似不大,但是了解一下还是有用处的,保不准在你的使用下大有作为.所谓的隐式调用简单来说就是自动调用一些方法,而这些方 ...

  4. vue.js 中使用(...)运算符报错

    今天在起别人项目的时候, 发现报错. 这个错误是,项目中不识别es6的扩展运算符, 解决方式很简单. // 第一步 cnpm install babel-plugin-transform-object ...

  5. web前端性能优化的技巧

    1. 请减少HTTP请求 基本原理: 在浏览器(客户端)和服务器发生通信时,就已经消耗了大量的时间,尤其是在网络情况比较糟糕的时候,这个问题尤其的突出. 一个正常HTTP请求的流程简述:如在浏览器中输 ...

  6. 阿里云上docker部署nginx实现反向代理

    简介   需要从镜像仓库找到所需要的nginx版本pull下来.(地址:https://hub.docker.com/) 1.docker pull nginx 1.挂载目录 1.1 获取nginx. ...

  7. @常见的远程服务器连接工具:Xshell与secureCRT的比较!!!(对于刚接触的测试小白很有帮助哦)

    现在比较受欢迎的终端模拟器软件当属xshell和securecrt了. XShell绝对首选,免费版也没什么限制,随便改字体随便改颜色随便改大小随便改字符集,多窗口,也比较小巧,而SecureCRT界 ...

  8. ES6的Proxy

    最近在Javascript的设计编程中,用到的那个单例模式,感觉就类似一种代理的思想[其实就是缓存的一种机制],单例模式就是: function getSingle(fn){ var result; ...

  9. cocos2d-x android 入门

    前一段时间使用传统方式做了一个CS软件,发现 UI 显示的比较慢,突发奇起,开始研究起来 GPU 加速,最后开始学习 cocos2dx. 开发环境以最新的 Cocos2d-x 3.17.1 Andro ...

  10. 系统之眼!Linux系统性能监控工具Glances

    一.Glances介绍 glances是一个基于python语言开发,可以为linux或者UNIX性能提供监视和分析性能数据的功能.glances在用户的终端上显示重要的系统信息,并动态的进行更新,让 ...