Github user anisnasir commented on the pull request:
https://github.com/apache/flink/pull/1069#issuecomment-136496310
@tillrohrmann Yes, we can design a system that adapts to the load imbalance
and increases the number of partitions per key in real time. However, this
comes with few other questions that are:
1. When to increases the choices?
2. How much to increase the choices?
3. Should we increase the choices for all the keys?
A simple solution for the datasets that cannot be handled using our
solution is to use ShufflePartitioner.
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