SQLServer同步数据到ElasticSearch

window10环境下

1.中间工具：

JDK,JDBC,Logstash,ElasticSearch

JDBC:https://download.microsoft.com/download/3/7/9/379E727A-58F5-45E6-9D45-95D593399F93/sqljdbc_6.2.2.1_chs.exe

Logstash:https://artifacts.elastic.co/downloads/logstash/logstash-7.7.0.zip

ElasticSearch:官网下址https://www.elastic.co/cn/

2.JDK,JDBC,ElasticSearch安装

略过

3.Logstash安装与配置：jdbc.conf配置

input {
jdbc {
jdbc_driver_library => "D:logstash-7.7.0injdbcconfigmssql-jdbc-6.2.2.jre8.jar"
jdbc_driver_class => "com.microsoft.sqlserver.jdbc.SQLServerDriver"
jdbc_connection_string => "jdbc:sqlserver://192.168.0.135:1433;DatabaseName=test1;"
jdbc_user => "sa"
jdbc_password => "123456"
# schedule => 分 时 天 月 年
# schedule => * 22 * * * //will execute at 22:00 every day
schedule => "* * * * *"
jdbc_paging_enabled => true
jdbc_page_size => 1000
clean_run => false
use_column_value => true
#设置查询条件的字段
tracking_column => FID
record_last_run => true
last_run_metadata_path => "D:logstash-7.7.0injdbcconfigFID.txt"
#设置列名小写
lowercase_column_names => false
statement_filepath => "D:logstash-7.7.0injdbcconfigLoad_User.sql"
#索引的类型
type => "advancelist"
}
}

output {
elasticsearch {
hosts => ["192.168.0.238:9200"]
index => "advancelist"
document_id => "%{FID}"
}
stdout {
#codec => json_lines
#设置输出的格式
codec => line {
format => "FID: %{[FID]} FPersonName: %{[name]} FAddTime: %{[sex]}"
}
}
}
4.运行：cmd

.logstash -f .jdbcconfigjdbc.conf --path.data=/jdbcconfig/
5.测试:延时在30秒左右

 

6.监控sql日志来做数据同步，是做主从，或异步查询常用的方案，附测试使用过的Logstash：