摘要：接上篇的安裝與界面預覽阿里云系統環境操作系統阿里云系統內網，私有地址內內內外網，公有地址外外外版本版本版本安裝與配置官方文檔不同于和，需要多帶帶安裝環境下載解壓后續操作在內目錄進行到下載測試數據集解壓測試數據集

接上篇：Kibana 7.x 的安裝與界面預覽（阿里云Ubuntu）

操作系統：Ubuntu 18.04 LTS（阿里云）

系統IP

# 內網，私有地址
172.內.內.內
# 外網，公有地址
112.外.外.外

Elasticsearch 版本：7.2

Kibana 版本：7.2

Logstash 版本：7.2

官方文檔：https://www.elastic.co/guide/...

Logstash 不同于 Elasticsearch 和 Kibana，需要多帶帶安裝 Java 環境

~$ 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)

下載 logstash

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

解壓 logstash

tar -zxf logstash-7.2.0.tar.gz

后續操作在 logstash-7.2.0 內目錄進行

cd logstash-7.2.0/

到 grouplens 下載 MovieLens 測試數據集

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

解壓測試數據集

unzip ml-latest-small.zip

創建并編輯 logstash.conf 文件，添加如下內容（Ruby 語法）

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 {}
}

導入數據，注意導入后不會自動退出，用 Ctrl-C 手動退出

# 個人路徑有所不同
./bin/logstash -f /home/walker/es/ml-latest-small/logstash.conf 

Management 查看數據（Index 相當于關系型數據庫的 Table）

關系型數據庫與 Elasticsearch 的抽象與類比

Dev tools 查看文檔總數（即數據總條數）

# 查看數據總量
GET /movies/_count

# 控制臺輸出
{
  "count" : 9743,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  }
}

查看 id 為 1 的數據

# 查看 id 為 1 的數據
GET /movies/_doc/1

# 控制臺輸出
{
  "_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"
  }
}

刪除 movies 數據（Elasticsearch 的 Index 可對標關系型數據庫的 Table）

# 刪除命令
DELETE /movies

# 控制臺輸出
{
  "acknowledged" : true
}

$ 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

本文是阮一鳴《Elasticsearch核心技術與實戰》的學習筆記。