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From Tamás Krutki (JIRA) <j...@apache.org>
Subject [jira] [Commented] (FLINK-1284) Uniform random sampling operator over windows
Date Sun, 03 May 2015 16:12:07 GMT

    [ https://issues.apache.org/jira/browse/FLINK-1284?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14525890#comment-14525890

Tamás Krutki commented on FLINK-1284:

I'd like to try this, can you please assign it to me?

> Uniform random sampling operator over windows
> ---------------------------------------------
>                 Key: FLINK-1284
>                 URL: https://issues.apache.org/jira/browse/FLINK-1284
>             Project: Flink
>          Issue Type: New Feature
>          Components: Streaming
>            Reporter: Paris Carbone
>            Priority: Minor
> It would be useful for several use cases to have a built-in uniform random sampling operator
in the streaming API that can operate on windows. This can be used for example for online
machine learning operations, evaluating heuristics or continuous visualisation of representative
> The operator could be given a field and a number of random samples needed, following
a window statement as such:
> mystream.window(..).sample(fieldID,#samples)
> Given that pre-aggregation is enabled, this could perhaps be implemented as a binary
reduce operator or a combinable groupreduce that pre-aggregates the empiricals of that field.

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