Hello, I have a fairly typical streaming use case but not able to figure how to implement it best in Flink. I want to join records read from a kafka stream with one(or more) dimension tables which are saved as flat files.
As per this jira <https://issues.apache.org/jira/browse/FLINK-2320> its not possible to join DataStream with DataSet. These tables are too big to do a collect() and join. It will be good to read these files during startup, do a partitionByHash and keep it cached. On the DataStream may be do a keyBy and join. Is something like this possible? Srikanth
