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 => falserecord_last_run => trueuse_column_value => truetracking_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 => falserecord_last_run => trueuse_column_value => truetracking_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 updateTime
FROM c_user
WHERE update_time > : sql_last_value

• log_sql.sql

SELECTid,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