• elasticsearch+logstash_jdbc 实现mysql数据实时同步至es


    jdk安装1.8版本,es、ls、ik、kibana版本一致我这里使用的6.6.2版本

    安装es
    tar xf elasticsearch-6.6.2.tar.gz 
    mv elasticsearch-6.6.2 /home/heron/elasticsearch
    ## 使用普通用户启动
    chown -R heron.heron  /home/heron/elasticsearch
    su - heron
    cd /home/heron/elasticsearch
    

    cat config/elasticsearch.yml

    ##修改前三行,添加最后两行到行尾 
    node.name: test-01
    network.host: 10.10.1.231
    http.port: 9200
    http.cors.enabled: true
    http.cors.allow-origin: "*"
    
    

    cat config/jvm.options

    ###修改为512M
    -Xms512m
    -Xmx512m
    

    安装ik+pinyin分词器

    tar xf elasticsearch-analysis-pinyin-6.6.2.zip 
    
    mv elasticsearch-analysis-pinyin-6.6.2 /home/heron/elasticsearch/plugins/pinyin
    
    tar xf elasticsearch-analysis-ik-6.6.2.zip 
    
    mv elasticsearch-analysis-ik-6.6.2 /home/heron/elasticsearch/plugins/ik
    

    启动

    /home/heron/elasticsearch/bin/elasticsearch -d
    

    创建thinkcmf5索引和shop_goods表

    curl -XPUT "http://10.10.1.231:9200/thinkcmf5"   -H 'Content-Type: application/json' -d'
    {
      "settings":{
        "number_of_shards":"3",
        "index.refresh_interval":"15s",
        "index":{
          "analysis":{
            "analyzer":{
               "ik_pinyin_analyzer":{
                "type":"custom",
                "tokenizer":"ik_smart",
                "filter":"pinyin_filter"
              }
            },
            "filter":{
              "pinyin_filter":{
                "type":"pinyin",
                "keep_first_letter": false
              }
            }
          }
        }
      }
    }'
    
    
    curl -XPUT "http://10.10.1.231:9200/thinkcmf5/_mapping/shop_goods"   -H 'Content-Type: application/json' -d'
    {
      "properties": {
        "goodsname":{
          "type": "text",
          "analyzer": "ik_smart",
          "search_analyzer": "ik_smart",
          "fields": {
            "pinyin":{
              "type":"text",
              "analyzer": "ik_pinyin_analyzer",
              "search_analyzer": "ik_pinyin_analyzer"
            }
          }
        }
      }
    }'
    
    
    安装logstash-input-jdbc插件

    首先安装logstash

    wget https://artifacts.elastic.co/downloads/logstash/logstash-6.6.2.tar.gz
    tar xf logstash-6.6.2.tar.gz    
    mv logstash-6.6.2 /home/heron/logstash
    

    安装jdbc插件

    cd  /home/heron/logstash
    ./bin/logstash-plugin install logstash-input-jdbc
    

    准备

    配置文件:mysql.conf

    sql文件:my_sql2.sql

    mysql 的java 驱动包 :mysql-connector-java-5.1.44-bin.jar

    cat /home/heron/logstash/mysql.conf

    input {
      jdbc {
        jdbc_driver_library => "/home/heron/logstash/config/mysql-connector-java-5.1.44-bin.jar"
        jdbc_driver_class => "com.mysql.jdbc.Driver"
        jdbc_connection_string => "jdbc:mysql://10.10.1.231:3306/thinkcmf5"
        jdbc_user => "root"
        jdbc_password => "dg9WA1nv"
        statement_filepath => "./data/my_sql2.sql"
        schedule => "* * * * *"
        jdbc_paging_enabled => "true"
        jdbc_page_size => "50000"
    
    
      }
      }
    filter {
      mutate {
        rename => { "[host][name]" => "host" }
      }
    }
    output{
      stdout {
        codec => rubydebug
      }
        elasticsearch {
            index => "thinkcmf5"
            document_type => "shop_goods"
            hosts => "10.10.1.231:9200"
        }
    }
    
    

    cat /home/heron/logstash/data/my_sql2.sql

    ###全量
     select *   from shop_goods
    ###增量,由于开始使用时间戳存储时间,ls变量使用实际时间,因此我转换了一下
    select *   from shop_goods  where  createtime > unix_timestamp(:sql_last_value)
    

    启动

    /home/heron/logstash/bin/logstash -f /home/heron/logstash/mysql.conf
    
    安装kibana
    wget https://artifacts.elastic.co/downloads/kibana/kibana-6.6.2.tar.gz
    tar xf kibana-6.6.2.tar.gz    
    mv kibana-6.6.2 /home/heron/kibana
    

    cat config/kibana.yml

    ###修改文件
    server.port: 5601
    server.host: "10.10.1.231"
    elasticsearch.hosts: ["http://10.10.1.231:9200"]
    

    启动
    /home/heron/kibana/bin/kibana -d

    赵客缦胡缨,吴钩霜雪明。 银鞍照白马,飒沓如流星。
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  • 原文地址:https://www.cnblogs.com/boy215/p/10641479.html
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