MySQL数据以全量和增量方式,同步到ES搜索引擎

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MySQL数据以全量和增量方式,同步到ES搜索引擎

知了一笑 2019-10-07 17:16:17 浏览217
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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_64binkibana.bat

4、访问地址

http://localhost:5601

04_1

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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