[jira] [Issue Comment Deleted] (FLINK-1284) Uniform random sampling operator over windows

["Tamás Krutki (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/FLINK-1284?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Tamás Krutki updated FLINK-1284:
--------------------------------
    Comment: was deleted

(was: Hi,
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 values.
> 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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