OSS版本是遵守Apache 2.0 licensed的，屬於開源專案。

Elasticsearch OSS 倒排索引服務

Elasticsearch OSS 6.4.3 下載地址：
https://www.elastic.co/downloads/past-releases/elasticsearch-oss-6-4-3

解壓修改配置檔案：

# 資料檔案目錄
path.data: /data/disk/data/elasticsearch
# 日誌檔案目錄
path.logs: /data/disk/log/elasticsearch
# 關閉記憶體鎖定，不關的話，centos6下報錯。
bootstrap.memory_lock: false
# 關閉系統呼叫過濾器，不關的話，centos6下報錯。
bootstrap.system_call_filter: false
# 網路地址
network.host: 0.0.0.0
# 埠號
http.port: 9200
 

切換到非root下su ekl，
執行bin/elasticsearch。
檢視結果：

curl http://localhost:9200/

elasticsearch analysis ik 分詞外掛

elasticsearch-analysis-ik 下載地址：
https://github.com/medcl/elasticsearch-analysis-ik/releases

安裝：

新建ik目錄，並解壓到ik目錄

mkdir your-es-root/plugins/ik
unzip  elasticsearch-analysis-ik-6.4.3.zip -d your-es-root/plugins/ik
 

新建索引：

curl -XPUT http://localhost:9200/index

新建對映

curl -XPOST http://localhost:9200/index/doc/_mapping -H 'Content-Type:application/json' -d'
{
        "properties": {
            "content": {
                "type": "text",
                "analyzer": "ik_max_word",
                "search_analyzer": "ik_max_word"
            }
        }

}'
 

Kibana OSS 視覺化開發工具

Kibana OSS 6.4.3 下載地址：
https://www.elastic.co/downloads/past-releases/kibana-oss-6-4-3

設定elasticsearch.url到es：
執行bin/kibana。
就可以在http://localhost:5601看到介面了。

Logstash OSS 同步mysql到ES

Logstash OSS 6.4.3 下載地址：
https://www.elastic.co/downloads/past-releases/logstash-oss-6-4-3

配置一個檔案

input {
    jdbc {
      jdbc_driver_library => "mysql-connector-java-5.1.33-bin.jar"
      jdbc_driver_class => "com.mysql.jdbc.Driver"
      jdbc_user => "user"
      jdbc_password=> "password"
      jdbc_connection_string => "jdbc:mysql://192.168.0.100:3306/db"
      jdbc_validate_connection => "true"
      schedule => "* * * * *"
      use_column_value => true
      tracking_column => "id"
      last_run_metadata_path => "/data/.logstash_shandian_last_run"
      statement => "SELECT a.id, a.title, a.keywords, d.content FROM table_article a JOIN table_data d ON a.id=d.id WHERE a.id > :sql_last_value AND a.status=100 ORDER BY id ASC"
      jdbc_paging_enabled =>true
      jdbc_page_size => 10000
    }
}
filter {
    date {
      match => ["addline", "yyyy-MM-dd HH:mm:ss,SSS", "UNIX"]
      target => "@timestamp"
      locale => "cn"
    }
}
output {
    elasticsearch {
      hosts => ["http://192.168.0.200:9200"]
      index => "suoyin"
      document_id => "%{id}"
    }    
    stdout {
        codec => line {
            format => "suoyin: %{id} %{title}"
        }
    }
}

執行

bin/logstash -f logstash.conf