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

  SELECTid,user_name userName,user_phone userPhone,create_time createTime,update_time updateTimeFROM c_userWHERE update_time > : sql_last_value

• log_sql.sql

  SELECTid,param_value paramValue,request_ip requestIp,create_time createTime,update_time updateTimeFROM c_logWHERE 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_64\config\kibana.yml

添加配置：

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

3、双击启动

kibana-6.3.2-windows-x86_64\bin\kibana.bat

4、访问地址

http://localhost:5601

三、源代码地址

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