Hi,

I'm planning to work on a streaming recommender in Flink, and one problem that I have is that the algorithm needs random access to a small global state (say a million counts). It should be ok if there is some inconsistency in the state (e.g., delay in seeing updates).

Does anyone here have experience with such things? I'm thinking of connecting Flink to a lighweight in-memory key-value store such as memcache for that.

Best,
Sebastian

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