flink-docker
https://github.com/melentye/flink-docker
https://hub.docker.com/_/flink/?tab=description
https://shekharsingh.com/blog/2016/11/12/apache-flink-rabbimq-streams-processor.html
http://www.54tianzhisheng.cn/2019/01/20/Flink-RabbitMQ-sink/
https://github.com/tydhot/Kafka-Flink-Rabbitmq-Demo
https://github.com/rootcss/flink-rabbitmq
flink-aggregate---(sum,max,keyby)
https://segmentfault.com/a/1190000017571429
flink-to-mysql
http://www.54tianzhisheng.cn/2019/01/15/Flink-MySQL-sink/
table data of mysql is fixed when start to query, so the job should be a flink batch job.
If you want to read the incoming data if there is incoming data, flink can not handle this kind of case, because flink does not know the incoming data unless you monitor binlog.
You have to use canal to sync up the binlog from mysql to kafka, and run a flink streaming job reading data from kafka. This is the best solution.
flinks-to-elastic-search
http://lxwei.github.io/posts/Flink(5)-Sink-%E4%BB%8B%E7%BB%8D%E4%B8%8E%E5%AE%9E%E8%B7%B5.html
flink-redis sink
https://blog.csdn.net/xianpanjia4616/article/details/82534369
flink-redis
https://www.cnblogs.com/jiashengmei/p/9084057.html