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_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-base
gitee·地址
https://gitee.com/cicadasmile/linux-system-base