了解了几种方式：
1.使用mysql的binlog日志，这个可以使用阿里的canal，进行同步至es中
2.使用es官方推荐的logstash-input-jdbc，这是logstash的一个插件，源码地址logstash-input-jdbc
首先，安装logstash，此处不再赘述，由于logstash-input-jdbc使用ruby快发，所以还需要安装ruby，选择下载安装，安装好后，打开CMD输入ruby -v查看是否安装成功
然后修改gem的源，使用gem sources -l
删除原来的源
gem sources --remove https://rubygems.org/
添加新的源
gem sources -a http://gems.ruby-china.org/
gem sources -l
修改成功后，还需要修改Gemfile的数据源地址：
gem install bundler
bundle config mirror.https://rubygems.org https://gems.ruby-china.org
然后就是安装logstash-input-jdbc,在logstash的bin的目录下，执行下面的命令：
.\logstash-plugin.bat install logstash-input-jdbc
等一会后会显示Installation successful的字样，安装成功后，就是怎么使用了，
官方文档地址：https://www.elastic.co/guide/en/logstash/current/plugins-inputs-jdbc.html
在bin目录下新建一个文件夹，比如mysql
新建一个jdbc.conf文件，配置如下：
input {
stdin {
}
jdbc {
jdbc_connection_string => "jdbc:mysql://127.0.0.1:3306/test"
jdbc_user => "root"
jdbc_password => "123456"
jdbc_driver_library => "F:\Program Files\logstash-6.2.4\bin\mysql\mysql-connector-java-5.1.30.jar"
jdbc_driver_class => "com.mysql.jdbc.Driver"
jdbc_paging_enabled => "true"
jdbc_page_size => "300000"
use_column_value => "true"
tracking_column => "id"
statement_filepath => "F:\Program Files\logstash-6.2.4\bin\mysql\jdbc.sql"
schedule => "* * * * *"
type => "jdbc"
jdbc_default_timezone =>"Asia/Shanghai"
}
}
filter {
json {
source => "message"
remove_field => ["message"]
}
}
output {
elasticsearch {
hosts => ["localhost:9200"]
index => "test_out"
template => "F:\Program Files\logstash-6.2.4\bin\mysql\es-template.json"
template_name => "t-statistic-out-logstash"
template_overwrite => true
document_type => "out"
document_id => "%{id}"
}
stdout {
codec => json_lines
}
}
然后把数据库的连接的jar包放到此文件夹下,然后新建一个jdbc.sql脚本文件，用来执行sql的，select * from test where id>=:sql_last_value，:sql_last_value是根据id变化后，根据指定的时间进行拉取更新es中的数据，实现增量同步更新数据。
然后启动logstash，执行命令：
.\logstash.bat -f .\mysql\jdbc.conf
如果启动不成功，检查jdbc.conf和jdbc.sql编码格式，设置为UTF-8无BOM格式就可以
启动信息类似下面这种，表示启动成功，它会自动执行jdbc.sql中的sql语句，查询获取数据同步至es中：
[2018-07-04T15:59:46,690][INFO ][logstash.outputs.elasticsearch] Running health check to see if an Elasticsearch connection is working {:healthcheck_url=>http://localhost:9200/, :path=>"/"}
[2018-07-04T15:59:46,869][WARN ][logstash.outputs.elasticsearch] Restored connection to ES instance {:url=>"http://localhost:9200/"}
[2018-07-04T15:59:46,915][INFO ][logstash.outputs.elasticsearch] ES Output version determined {:es_version=>6}
[2018-07-04T15:59:46,921][WARN ][logstash.outputs.elasticsearch] Detected a 6.x and above cluster: the `type` event field won't be used to determine the document _type {:es_version=>6}
[2018-07-04T15:59:46,936][INFO ][logstash.outputs.elasticsearch] Using mapping template from {:path=>"F:\\Program Files\\logstash-6.2.4\\bin\\mysql\\es-template.json"}
[2018-07-04T15:59:46,951][INFO ][logstash.outputs.elasticsearch] Attempting to install template {:manage_template=>{"template"=>"t-statistis-out-template", "order"=>1, "settings"=>{"index"=>{"refresh_interval"=>"5s"}}, "mappings"=>{"_default_"=>{"_all"=>{"enabled"=>false}, "dynamic_templates"=>[{"message_field"=>{"match"=>"message", "match_mapping_type"=>"string", "mapping"=>{"type"=>"string", "index"=>"not_analyzed"}}}, {"string_fields"=>{"match"=>"*", "match_mapping_type"=>"string", "mapping"=>{"type"=>"string", "index"=>"not_analyzed"}}}], "properties"=>{"@timestamp"=>{"type"=>"date"}, "@version"=>{"type"=>"keyword"}, "geoip"=>{"dynamic"=>true, "properties"=>{"ip"=>{"type"=>"ip"}, "location"=>{"type"=>"geo_point"}, "latitude"=>{"type"=>"half_float"}, "longitude"=>{"type"=>"half_float"}}}, "acc_id"=>{"type"=>"keyword"}, "acc_name"=>{"type"=>"keyword"}, "acc_pp"=>{"type"=>"keyword"}, "account_price_type"=>{"type"=>"keyword"}, "cyacc_no"=>{"type"=>"keyword"}, "order_id"=>{"type"=>"keyword"}, "voucher_id"=>{"type"=>"keyword"}}}}, "aliases"=>{}}}
[2018-07-04T15:59:46,986][INFO ][logstash.outputs.elasticsearch] Installing elasticsearch template to _template/t-statistic-out-logstash
[2018-07-04T15:59:47,097][INFO ][logstash.outputs.elasticsearch] New Elasticsearch output {:class=>"LogStash::Outputs::ElasticSearch", :hosts=>["//localhost:9200"]}
[2018-07-04T15:59:47,499][INFO ][logstash.pipeline ] Pipeline started successfully {:pipeline_id=>"main", :thread=>"#<Thread:0x1b1682f0 run>"}
The stdin plugin is now waiting for input:
[2018-07-04T15:59:47,613][INFO ][logstash.agent ] Pipelines running {:count=>1, :pipelines=>["main"]}
[2018-07-04T16:00:01,955][INFO ][logstash.inputs.jdbc ] (0.009963s) SELECT version()
如果同步至es中的字段不需要设置分词，不然查询时分词会导致结果不正确，模糊匹配不能像关系数据库中使用like那样，就需要在jdbc.conf的output里设置template、template_name和template_overwrite，如下所示：
output {
elasticsearch {
hosts => ["localhost:9200"]
index => "t_statistic_out"
template => "F:\Program Files\logstash-6.2.4\bin\mysql\es-template.json"
template_name => "t-statistic-out-logstash"
template_overwrite => true
document_type => "out"
document_id => "%{id}"
}
stdout {
codec => json_lines
}
}
es-template.json配置文件如下，设置不分词的字段值type为keyword：
{
"template" : "t-statistis-out-template",
"order":1,
"settings": {
"index": {
"refresh_interval": "5s"
}
},
"mappings": {
"_default_": {
"_all" : {"enabled":false},
"dynamic_templates": [
{
"message_field" : {
"match" : "message",
"match_mapping_type" : "string",
"mapping" : { "type" : "string", "index" : "not_analyzed" }
}
}, {
"string_fields" : {
"match" : "*",
"match_mapping_type" : "string",
"mapping" : { "type" : "string", "index" : "not_analyzed" }
}
}
],
"properties": {
"@timestamp": {
"type": "date"
},
"@version": {
"type": "keyword"
},
"geoip": {
"dynamic": true,
"properties": {
"ip": {
"type": "ip"
},
"location": {
"type": "geo_point"
},
"latitude": {
"type": "half_float"
},
"longitude": {
"type": "half_float"
}
}
},
"acc_id": {
"type": "keyword"
},
"acc_name": {
"type": "keyword"
},
"acc_pp": {
"type": "keyword"
},
"account_price_type": {
"type": "keyword"
},
"cyacc_no": {
"type": "keyword"
},
"order_id": {
"type": "keyword"
},
"voucher_id": {
"type": "keyword"
}
}
}
},
"aliases": {}
}
如果发现没生效，设置order大于0，logstash启动的时候会默认发送一个logstash的文件，此时需要删除这个默认的
然后再删除对应的索引，重新启动，就会发现生效了
---------------------
作者：丶人生如梦
来源：CSDN
原文：https://blog.csdn.net/ll840768874/article/details/80914833
版权声明：本文为博主原创文章，转载请附上博文链接！