本帖最后由 谷粒姐姐 于 2019-6-11 14:17 编辑
2.3 Logstash扫描课程计划媒资
Logstash定时扫描课程媒资信息表，并将课程媒资信息写入索引库。‘ 2.3.1 创建索引
1、创建xc_course_media索引 2、并向此索引创建如下映射
Post http://localhost:9200/xc_course_media/doc/_mapping
[AppleScript] 纯文本查看 复制代码 { "properties" : {
"courseid" : {
"type" : "keyword"
},
"teachplan_id" : {
"type" : "keyword"
},
"media_id" : {
"type" : "keyword"
},
"media_url" : {
"index" : false,[AppleScript] 纯文本查看 复制代码
"type" : "text"
},
"media_fileoriginalname" : {
"index" : false,
"type" : "text"
}
} }
2.3.2 创建Logstash模板文件
在logstach的config目录创建xc_course_media_template.json，内容如下：
本教程的xc_course_media_template.json目录是：D:/ElasticSearch/logstash6.2.1/config/xc_course_media_template.json
[AppleScript] 纯文本查看 复制代码 {
"mappings" : {
"doc" : {
"properties" : {
"courseid" : {
"type" : "keyword"
},
"teachplan_id" : {
"type" : "keyword"
},
"media_id" : {
"type" : "keyword"
},
"media_url" : {
"index" : false,
"type" : "text"
},
"media_fileoriginalname" : {
"index" : false,
"type" : "text"
}
}
},
"template" : "xc_course_media" }
2.3.3 配置mysql.conf
在logstash的config目录下配置mysql_course_media.conf文件供logstash使用，logstash会根据 mysql_course_media.conf文件的配置的地址从MySQL中读取数据向ES中写入索引。 参考https://www.elastic.co/guide/en/ ... ns-inputs-jdbc.html
配置输入数据源和输出数据源。
[AppleScript] 纯文本查看 复制代码
2.3.4 启动logstash.bat
启动logstash.bat采集teachplan_media_pub中的数据，向ES写入索引。
input {
stdin {
} jdbc {
jdbc_connection_string => "jdbc:mysql://localhost:3306/xc_course? useUnicode=true&characterEncoding=utf‐8&useSSL=true&serverTimezone=UTC" # the user we wish to excute our statement as
jdbc_user => "root" jdbc_password => mysql
# the path to our downloaded jdbc driver
jdbc_driver_library => "F:/develop/maven/repository3/mysql/mysql‐connector‐java/5.1.41/mysqlconnector‐java‐5.1.41.jar" # the name of the driver class for mysql jdbc_driver_class => "com.mysql.jdbc.Driver"
jdbc_paging_enabled => "true"
jdbc_page_size => "50000"
#要执行的sql文件
#statement_filepath => "/conf/course.sql"
statement => "select * from teachplan_media_pub where timestamp >
date_add(:sql_last_value,INTERVAL 8 HOUR)"
#定时配置 schedule => "* * * * *" record_last_run => true last_run_metadata_path => "D:/ElasticSearch/logstash‐6.2.1/config/xc_course_media_metadata" } }
output {
elasticsearch {
#ES的ip地址和端口
hosts => "localhost:9200"
#hosts => ["localhost:9200","localhost:9202","localhost:9203"]
#ES索引库名称 index => "xc_course_media" document_id => "%{id}"
document_type => "doc"
template =>"D:/ElasticSearch/logstash‐6.2.1/config/xc_course_media_template.json" template_name =>"xc_course_media" template_overwrite =>"true" } stdout { #日志输出 codec => json_lines } }
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