Hey all, there was a project course at Technical University here in Berlin, where the users had to implement various ML algorithms in Flink. The following is a list of what the users provided as feedback:
1) Collection fields in tuples (https://issues.apache.org/jira/browse/FLINK-610) Two groups ran into this problem and worked around it with a manual String encoding. :( 2) Data sinks in iterations (there is an issue for this, but I couldn't find it at the moment) 3) First(n) operator (https://issues.apache.org/jira/browse/FLINK-970) 4) For loop with incremental rollout (as in Spark) is more intuitive that our iterate operators --- I think [~aalexandrov] also took some notes. Best, Ufuk
