第八篇 elasticsearch链接mysql自动更新数据库

input {
  jdbc {
    jdbc_driver_library => "D:\tools\mysql\mysql-connector-java-5.1.45/mysql-connector-java-5.1.45-bin.jar"
    jdbc_driver_class => "com.mysql.jdbc.Driver"
    jdbc_connection_string => "jdbc:mysql://localhost:3306/canyin?characterEncoding=UTF-8&useSSL=false"
    jdbc_user => "root"
    jdbc_password => "228151"
    statement => "SELECT * FROM goods"
    jdbc_paging_enabled => "true"
    jdbc_page_size => "50000"
    schedule => "* * * * *"
    type => "foods"
    record_last_run => true
    last_run_metadata_path => ""
    clean_run => false


  }
}

filter {
   json {
        source => "message"
        remove_field => ["message"]
    }
}

output {
  stdout {
    codec => rubydebug
  }
  elasticsearch {
    hosts => "127.0.0.1:9200"
    index => "goods"
    document_type=>"foods"  
    document_id=>"%{id}"  
  }        
} 

input {
    stdin {
    
    }
    jdbc {
        # 数据库地址  端口  数据库名
        jdbc_connection_string => "jdbc:mysql://localhost:3306/shen"
        # 数据库用户名      
        jdbc_user => "root"
        # 数据库密码
        jdbc_password => "rootroot"
        # mysql java驱动地址 
        jdbc_driver_library => "/usr/share/logstash/mysql-connector-java-5.1.43-bin.jar"
        # 驱动类的名称
        jdbc_driver_class => "com.mysql.jdbc.Driver"
        
        jdbc_paging_enabled => "true"
        jdbc_page_size => "50000"

        #是否记录上次运行的结果
        record_last_run => true
        #记录上次运行结果的文件位置
        last_run_metadata_path => ""
        #是否使用数据库某一列的值，
        use_column_value => true
        tracking_column => "id"
        #numeric或者timestamp
        tracking_column_type => "numeric"
        
        #如果为true则会清除 last_run_metadata_path 的记录，即重新开始同步数据
        clean_run => false

        #sql_last_value根据tracking类型，默认为0或者1970-1-1
        statement => "SELECT * FROM TABLE WHERE id > :last_sql_value"
        # sql 语句文件，对于复杂的查询，可以放在文件中。
        # statement_filepath => "filename.sql"
        # 设置监听间隔，语法与Linux系统Cron相同
        schedule => "* * * * *"
    }
}
output {
     stdout {
        codec => json_lines
    }
　　　elasticsearch {
        hosts  => "localhost:9200"
        index => "contacts"
　　　　　document_type => "contact"
        document_id => "%{id}"
    }
}