• MySQL数据以全量和增量方式,同步到ES搜索引擎


    本文源码:GitHub·点这里 || GitEE·点这里

    一、配置详解

    场景描述:MySQL数据表以全量和增量的方式向ElasticSearch搜索引擎同步。

    1、下载内容

    • elasticsearch 版本 6.3.2
    • logstash 版本 6.3.2
    • mysql-connector-java-5.1.13.jar

    2、核心配置

    • 路径:/usr/local/logstash
    • 新建配置目录:sync-config

    1)、配置全文

    /usr/local/logstash/sync-config/cicadaes.conf

    input {
        stdin {}
        jdbc {
            jdbc_connection_string => "jdbc:mysql://127.0.0.1:3306/cicada?characterEncoding=utf8"
            jdbc_user => "root"
            jdbc_password => "root123"
            jdbc_driver_library => "/usr/local/logstash/sync-config/mysql-connector-java-5.1.13.jar"
            jdbc_driver_class => "com.mysql.jdbc.Driver"
            jdbc_paging_enabled => "true"
            jdbc_page_size => "50000"
            jdbc_default_timezone => "Asia/Shanghai"
            statement_filepath => "/usr/local/logstash/sync-config/user_sql.sql"
            schedule => "* * * * *"
            type => "User"
            lowercase_column_names => false
            record_last_run => true
            use_column_value => true
            tracking_column => "updateTime"
            tracking_column_type => "timestamp"
            last_run_metadata_path => "/usr/local/logstash/sync-config/user_last_time"
            clean_run => false
        }
        jdbc {
            jdbc_connection_string => "jdbc:mysql://127.0.0.1:3306/cicada?characterEncoding=utf8"
            jdbc_user => "root"
            jdbc_password => "root123"
            jdbc_driver_library => "/usr/local/logstash/sync-config/mysql-connector-java-5.1.13.jar"
            jdbc_driver_class => "com.mysql.jdbc.Driver"
            jdbc_paging_enabled => "true"
            jdbc_page_size => "50000"
            jdbc_default_timezone => "Asia/Shanghai"
            statement_filepath => "/usr/local/logstash/sync-config/log_sql.sql"
            schedule => "* * * * *"
            type => "Log"
            lowercase_column_names => false
            record_last_run => true
            use_column_value => true
            tracking_column => "updateTime"
            tracking_column_type => "timestamp"
            last_run_metadata_path => "/usr/local/logstash/sync-config/log_last_time"
            clean_run => false
        }
    }
    filter {
        json {
            source => "message"
            remove_field => ["message"]
        }
    }
    output {
        if [type] == "User" {
            elasticsearch {
                hosts => ["127.0.0.1:9200"]
                index => "cicada_user_search"
                document_type => "user_search_index"
            }
        }
        if [type] == "Log" {
            elasticsearch {
                hosts => ["127.0.0.1:9200"]
                index => "cicada_log_search"
                document_type => "log_search_index"
            }
        }
    }
    

    2)、SQL文件

    • user_sql.sql
    SELECT
    	id,
    	user_name userName,
    	user_phone userPhone,
    	create_time createTime,
    	update_time updateTime
    FROM c_user
    WHERE update_time > : sql_last_value
    
    • log_sql.sql
    SELECT
    	id,
    	param_value paramValue,
    	request_ip requestIp,
    	create_time createTime,
    	update_time updateTime
    FROM c_log
    WHERE update_time > : sql_last_value
    

    3)、配置参数说明

    • input参数
    statement_filepath:读取SQL语句位置
    schedule :这里配置每分钟执行一次
    type :类型,写入ES的标识
    lowercase_column_names :字段是否转小写
    record_last_run :记录上次执行时间
    use_column_value :使用列的值
    tracking_column :根据写入ES的updateTime字段区分增量数据
    tracking_column_type :区分的字段类型
    
    • output参数
    hosts :ES服务地址
    index :Index名称,类比理解数据库名称
    document_type :Type名称,类比理解表名称
    

    3、启动进程

    /usr/local/logstash/bin/logstash  
    -f  
    /usr/local/logstash/sync-config/cicadaes.conf
    

    二、ES客户端工具

    1、下载软件

    kibana-6.3.2-windows-x86_64

    2、修改配置

    kibana-6.3.2-windows-x86_64configkibana.yml

    添加配置:

    elasticsearch.url: "http://127.0.0.1:9200"
    

    3、双击启动

    kibana-6.3.2-windows-x86_64inkibana.bat

    4、访问地址

    http://localhost:5601
    

    三、源代码地址

    GitHub·地址
    https://github.com/cicadasmile/linux-system-base
    GitEE·地址
    https://gitee.com/cicadasmile/linux-system-base
    

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  • 原文地址:https://www.cnblogs.com/cicada-smile/p/11471026.html
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