Logstash Centos上部署与入门测试

特别提示：Logstash是开箱即用，即解压后就能使用。
笔者环境：Centos6.9 + ES6.6.2

安装步骤如下示：

一、官网下载解压

笔者ES 版本为6.6.2 版本，因此也就直接下载Logstash6.6.2了。未探究过，这两者版本是否相互有影响。
6.6.2 下载地址如下：
https://artifacts.elastic.co/downloads/logstash/logstash-6.6.2.tar.gz

官网解释如下：下载，解压，准备logstash对应的配置文件（这里的配置文件详情见下文）便可运行，下载与安装也可直接通过yum方式，详情可见其官网（即下图中第一点对应的链接）

二、解压

[root@bigdata ~]# tar -zxvf logstash-6.6.2.tar.gz
[root@bigdata ~]# mv logstash-6.6.2 /usr/

三、测试

在这里首先做个小说明:
官网解释如下，个人认为非常形象（官网链接）

• 从上面的解释，可以知道Logstash是一个数据处理管道(笔者认为这个其实跟flume挺类似的)，可同时从多个数据源获取数据，并对其进行转换，然后将其发送到你所要存储的位置，可以是ES也可以是其他数据源。

• 这个管道主要由三个组件组成分别是：input、filter、output；

• 在这里可以简单理解成，input 是接收数据，filter是对接收的数据进行过滤（也可理解成业务处理），output是对处理后的数据进行输出。这三个过统一写到上文所提到logstash对应的配置文件中，在开始执行logstash时以该配置文件来启动。

样例一：下文以官网给的例子来简单运行看下效果

• 启动logstash, 这里不写配置文件，直接将文件内容写到命令中，如下input部分通过控制台输入，filter部分不做处理，output部分通过控制台输出

bin/logstash -e 'input { stdin { } } output { stdout {} }'

稍等一小会，logstash 启动成功，日志如下：

[root@node logstash-6.6.2]# bin/logstash -e 'input { stdin { } } output { stdout {} }'
Sending Logstash logs to /usr/logstash-6.6.2/logs which is now configured via log4j2.properties
[2019-03-22T17:06:43,339][WARN ][logstash.config.source.multilocal] Ignoring the 'pipelines.yml' file because modules or command line options are specified
[2019-03-22T17:06:43,358][INFO ][logstash.runner          ] Starting Logstash {"logstash.version"=>"6.6.2"}
[2019-03-22T17:06:50,689][INFO ][logstash.pipeline        ] Starting pipeline {:pipeline_id=>"main", "pipeline.workers"=>32, "pipeline.batch.size"=>125, "pipeline.batch.delay"=>50}
[2019-03-22T17:06:50,823][INFO ][logstash.pipeline        ] Pipeline started successfully {:pipeline_id=>"main", :thread=>"#"}
The stdin plugin is now waiting for input:
[2019-03-22T17:06:50,872][INFO ][logstash.agent           ] Pipelines running {:count=>1, :running_pipelines=>[:main], :non_running_pipelines=>[]}
[2019-03-22T17:06:51,114][INFO ][logstash.agent           ] Successfully started Logstash API endpoint {:port=>9600}

在控制台输入HelloWorld，logstash处理后便会在控制台输出如下信息：

{
      "@version" => "1",
       "message" => "HelloWorld",
          "host" => "node",
    "@timestamp" => 2019-03-22T09:07:17.026Z
}

以上就是logstash 官网提供的一个最简单的样例

样例二：写在配置文件中，如下所示

监听path目录下的文件

[root@bigdata logstash]# vi test.conf
input {
    file{
        path => "/usr/logstash/testFile.txt"
    }
 }
output {
     stdout {}
 }

启动logstash

[root@bigdata logstash]# ./bin/logstash -f test.conf
Sending Logstash logs to /usr/logstash/logs which is now configured via log4j2.properties
[2019-03-22T17:28:52,488][WARN ][logstash.config.source.multilocal] Ignoring the 'pipelines.yml' file because modules or command line options are specified
[2019-03-22T17:28:52,510][INFO ][logstash.runner          ] Starting Logstash {"logstash.version"=>"6.6.2"}
[2019-03-22T17:28:59,869][INFO ][logstash.pipeline        ] Starting pipeline {:pipeline_id=>"main", "pipeline.workers"=>32, "pipeline.batch.size"=>125, "pipeline.batch.delay"=>50}
[2019-03-22T17:29:00,125][INFO ][logstash.inputs.file     ] No sincedb_path set, generating one based on the "path" setting {:sincedb_path=>"/usr/logstash/data/plugins/inputs/file/.sincedb_9ae59c1ca8e4513c20f0153fea772b9a", :path=>["/usr/logstash/testFile.txt"]}
[2019-03-22T17:29:00,173][INFO ][logstash.pipeline        ] Pipeline started successfully {:pipeline_id=>"main", :thread=>"#"}
[2019-03-22T17:29:00,230][INFO ][filewatch.observingtail  ] START, creating Discoverer, Watch with file and sincedb collections
[2019-03-22T17:29:00,234][INFO ][logstash.agent           ] Pipelines running {:count=>1, :running_pipelines=>[:main], :non_running_pipelines=>[]}
[2019-03-22T17:29:00,574][INFO ][logstash.agent           ] Successfully started Logstash API endpoint {:port=>9600}
{
       "message" => "",
      "@version" => "1",
    "@timestamp" => 2019-03-22T09:31:12.048Z,
          "path" => "/usr/logstash/testFile.txt",
          "host" => "bigdata"
}

修改所监听文件则输出如下日志

[root@bigdata logstash]# vi testFile.txt
Hello word
Hello Java

{
       "message" => "Hello word",
      "@version" => "1",
    "@timestamp" => 2019-03-22T09:31:12.016Z,
          "path" => "/usr/logstash/testFile.txt",
          "host" => "bigdata"
}
{
       "message" => "Hello Java",
      "@version" => "1",
    "@timestamp" => 2019-03-22T09:31:39.185Z,
          "path" => "/usr/logstash/testFile.txt",
          "host" => "bigdata"
}

样例三：同步Mysql 数据到ES 中
见链接 Logstash-input-jdbc 同步mysql 数据至ElasticSearch

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供参考的好文档：
Logstash详解之——input模块
Logstash详解之——filter模块
Logstash安装和基本使用