Hi all, I'm using the nice topic pattern feature on the KafkaConsumer to read from multiple topics, automatically discovering new topics added into the system.
At the end of the processing I'm sinking the result into a Hadoop Filesystem using a BucketingSink. All works great until I get the requirement to sink into a different Hadoop Filesystem based on the input topic. One way to do this would obviously be to get rid of the topic pattern and start a (similar) job per topic which would each get its own sink to its own filesystem. And start new jobs when new topics are added. But that's far from being ideal. This would lead to the usual issues with Flink and a dynamic number of jobs (requiring new task slots...) also obviously it would require some external machinery to know new topics have been added and create new jobs etc... What would be the recommended way to have a "dynamic" BucketingSink that can not only write to several basePath (not too hard I guess) but also dynamically add new base path when new topics are coming into the system. Thanks, -- Christophe
