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https://issues.apache.org/jira/browse/FLINK-6239?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16533553#comment-16533553
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Stephan Ewen commented on FLINK-6239:
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Thanks for sharing the details. Materialized table joins are in the works.
There is a design doc for adding an extended version of this (Time Versioned
Table Join) in SQL and the Table API:
https://docs.google.com/document/d/1KaAkPZjWFeu-ffrC9FhYuxE6CIKsatHTTxyrxSBR8Sk
> Sharing of State Across Operators
> ---------------------------------
>
> Key: FLINK-6239
> URL: https://issues.apache.org/jira/browse/FLINK-6239
> Project: Flink
> Issue Type: Improvement
> Components: DataStream API
> Affects Versions: 1.1.4
> Reporter: Elias Levy
> Priority: Major
>
> Currently state cannot be shared across operators. On a keyed stream, the
> state is implicitly keyed by the operator id, in addition to the stream key.
> This can make it more difficult and inefficient to implement complex
> topologies, where multiple operator may need to access the same state. It
> would be value to be able to access keyed value and map stated across
> operators.
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