Logstash 7.x 的安装与数据导入（阿里云Ubuntu）

接上篇：Kibana 7.x 的安装与界面预览（阿里云Ubuntu）

系统环境

• 操作系统：Ubuntu 18.04 LTS（阿里云）
• 系统IP

# 内网，私有地址
172.内.内.内
# 外网，公有地址
112.外.外.外

• Elasticsearch 版本：7.2
• Kibana 版本：7.2
• Logstash 版本：7.2

安装与配置

• 官方文档：https://www.elastic.co/guide/...
• Logstash 不同于 Elasticsearch 和 Kibana，需要单独安装 Java 环境

~$ sudo apt install default-jdk
~$ java -version
openjdk version "11.0.3" 2019-04-16
OpenJDK Runtime Environment (build 11.0.3+7-Ubuntu-1ubuntu218.04.1)
OpenJDK 64-Bit Server VM (build 11.0.3+7-Ubuntu-1ubuntu218.04.1, mixed mode, sharing)

• 下载 logstash

wget https://artifacts.elastic.co/downloads/logstash/logstash-7.2.0.tar.gz

• 解压 logstash

tar -zxf logstash-7.2.0.tar.gz

• 后续操作在 logstash-7.2.0 内目录进行

cd logstash-7.2.0/

• 到 grouplens 下载 MovieLens 测试数据集

wget http://files.grouplens.org/datasets/movielens/ml-latest-small.zip

• 解压测试数据集

unzip ml-latest-small.zip

• 创建并编辑 logstash.conf 文件，添加如下内容（Ruby 语法）

input {
  file {
    path => "/home/walker/es/ml-latest-small/movies.csv"
    start_position => "beginning"
    sincedb_path => "/dev/null"
  }
}
filter {
  csv {
    separator => ","
    columns => ["id","content","genre"]
  }
  mutate {
    split => { "genre" => "|" }
    remove_field => ["path", "host","@timestamp","message"]
  }
  mutate {

    split => ["content", "("]
    add_field => { "title" => "%{[content][0]}"}
    add_field => { "year" => "%{[content][2]}"}
  }
  mutate {
    convert => {
      "year" => "integer"
    }
    strip => ["title"]
    remove_field => ["path", "host","@timestamp","message","content"]
  }
}
output {
   elasticsearch {
     hosts => "http://172.18.193.52:9200"
     index => "movies"
     document_id => "%{id}"
   }
  stdout {}
}

• 导入数据，注意导入后不会自动退出，用 Ctrl-C 手动退出

# 个人路径有所不同
./bin/logstash -f /home/walker/es/ml-latest-small/logstash.conf 

• Management 查看数据（Index 相当于关系型数据库的 Table）

• 关系型数据库与 Elasticsearch 的抽象与类比

• Dev tools 查看文档总数（即数据总条数）

# 查看数据总量
GET /movies/_count

# 控制台输出
{
  "count" : 9743,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  }
}

• 查看 id 为 1 的数据

# 查看 id 为 1 的数据
GET /movies/_doc/1

# 控制台输出
{
  "_index" : "movies",
  "_type" : "_doc",
  "_id" : "1",
  "_version" : 1,
  "_seq_no" : 121,
  "_primary_term" : 1,
  "found" : true,
  "_source" : {
    "@version" : "1",
    "genre" : [
      "Adventure",
      "Animation",
      "Children",
      "Comedy",
      "Fantasy"
    ],
    "year" : 1995,
    "id" : "1",
    "title" : "Toy Story"
  }
}

• 删除 movies 数据（Elasticsearch 的 Index 可对标关系型数据库的 Table）

# 删除命令
DELETE /movies

# 控制台输出
{
  "acknowledged" : true
}

walker 的目录结构

$ tree /home/walker/es/ -L 2
/home/walker/es/
├── elasticsearch-7.2.0
│   ├── bin
│   ├── config
│   ├── data
│   ├── jdk
│   ├── lib
│   ├── LICENSE.txt
│   ├── logs
│   ├── modules
│   ├── NOTICE.txt
│   ├── plugins
│   └── README.textile
├── elasticsearch-7.2.0-linux-x86_64.tar.gz
├── kibana-7.2.0-linux-x86_64
│   ├── bin
│   ├── built_assets
│   ├── config
│   ├── data
│   ├── LICENSE.txt
│   ├── node
│   ├── node_modules
│   ├── NOTICE.txt
│   ├── optimize
│   ├── package.json
│   ├── plugins
│   ├── README.txt
│   ├── src
│   ├── target
│   ├── webpackShims
│   └── x-pack
├── kibana-7.2.0-linux-x86_64.tar.gz
├── logstash-7.2.0
│   ├── bin
│   ├── config
│   ├── CONTRIBUTORS
│   ├── data
│   ├── Gemfile
│   ├── Gemfile.lock
│   ├── lib
│   ├── LICENSE.txt
│   ├── logs
│   ├── logstash-core
│   ├── logstash-core-plugin-api
│   ├── modules
│   ├── NOTICE.TXT
│   ├── tools
│   ├── vendor
│   └── x-pack
├── logstash-7.2.0.tar.gz
├── ml-latest-small
│   ├── links.csv
│   ├── logstash.conf
│   ├── movies.csv
│   ├── ratings.csv
│   ├── README.txt
│   └── tags.csv
└── ml-latest-small.zip

本文是阮一鸣《Elasticsearch核心技术与实战》的学习笔记。