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From "Austin Ouyang (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-1284) Uniform random sampling operator over windows
Date Wed, 27 Apr 2016 03:44:12 GMT

    [ https://issues.apache.org/jira/browse/FLINK-1284?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15259486#comment-15259486

Austin Ouyang commented on FLINK-1284:

Hi [~till.rohrmann],

I've noticed that there's been low activity on this issue over the last year. Would it be
possible for me to tackle this issue and be assigned? Thanks!

> 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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