Docker部署Logstash同步Mysql数据到ES方式

docker pull docker.elastic.co/logstash/logstash:7.15.0
## 替换{你的ES地址}为ES地址
docker run -d --name logstash -p 5044:5044 -p 9600:9600 -v D:\logstash\data\:/usr/share/logstash/data  -v D:\logstash\path\to\mysql-connector-j-8.0.33.jar:/usr/share/logstash/mysql-connector-j-8.0.33.jar -v D:\logstash\config\:/usr/share/logstash/config -v D:\logstash\pipeline\:/usr/share/logstash/pipeline -e "ELASTICSEARCH_HOSTS={你的ES地址}" docker.elastic.co/logstash/logstash:7.15.0

docker pull docker.elastic.co/elasticsearch/elasticsearch:7.15.0
## 配置文件如果需要修改，修改完后删除重新启动容器
docker run -d --name elasticsearch -v D:\elasticsearch\config\:/usr/share/elasticsearch/config -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" docker.elastic.co/elasticsearch/elasticsearch:7.15.0

input {
  jdbc {
    jdbc_driver_library => "/usr/share/logstash/mysql-connector-j-8.0.33.jar"
    jdbc_driver_class => "com.mysql.cj.jdbc.Driver"
    jdbc_connection_string => "jdbc:mysql://{你的MYSQL地址}/{你的数据库}"
    jdbc_user => "{数据库账号}"
    jdbc_password => "{数据库密码}"
    statement => "SELECT * FROM user"
    jdbc_paging_enabled => true		 # 开启分页
    jdbc_page_size => 2000			 # 分页每页条数
    schedule => "*/5 * * * * * UTC"  # 每5s执行一次
  }
}
output {
  elasticsearch {
      hosts  => ["{你的ES地址}"]         				# ElasticSearch 的地址和端口
      index  => "user"         							# 指定索引名，如果不存在es会自动创建
      document_id => "%{id}"
      codec  => "json"
  }
}

docker rm -f logstash
docker run -d --name logstash -p 5044:5044 -p 9600:9600 -v D:\logstash\data\:/usr/share/logstash/data  -v D:\logstash\path\to\mysql-connector-j-8.0.33.jar:/usr/share/logstash/mysql-connector-j-8.0.33.jar -v D:\logstash\config\:/usr/share/logstash/config -v D:\logstash\pipeline\:/usr/share/logstash/pipeline -e "ELASTICSEARCH_HOSTS={你的ES地址}" docker.elastic.co/logstash/logstash:7.15.0

docker logs -f logstash