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Posted to issues@flink.apache.org by "Daniel Blazevski (JIRA)" <ji...@apache.org> on 2016/09/09 20:50:20 UTC
[jira] [Comment Edited] (FLINK-2144) Incremental count, average,
and variance for windows
[ https://issues.apache.org/jira/browse/FLINK-2144?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15477990#comment-15477990 ]
Daniel Blazevski edited comment on FLINK-2144 at 9/9/16 8:49 PM:
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Hi,
I am curious to know the status of this issue.
I have worked on Flink-ML a bit, and recently contributed to Flink's documentation of its Window API.
If possible, I would like to work on this. I looked into the code and saw how "sum" is implemented, and I assume average and variance should be implemented in similar ways (with 2 versions, one taking a string another an integer). Count, of course, is more simple in that it counts the number of data points (not two different inputs)
[~aljoscha][~ggevay]
was (Author: danielblazevski):
Hi,
I am curious to know the status of this issue.
I have worked on Flink-ML a bit, and recently contributed to Flink's documentation of its Window API.
If possible, I would like to work on this. I looked into the code and saw how "sum" is implemented, and I assume average and variance should be implemented in similar ways (with 2 versions, one taking a string another an integer). Count, of course, is more simple in that it counts the number of data points (not two different inputs)
> Incremental count, average, and variance for windows
> ----------------------------------------------------
>
> Key: FLINK-2144
> URL: https://issues.apache.org/jira/browse/FLINK-2144
> Project: Flink
> Issue Type: New Feature
> Components: Streaming
> Reporter: Gabor Gevay
> Priority: Minor
> Labels: statistics
>
> By count I mean the number of elements in the window.
> These can be implemented very efficiently building on FLINK-2143:
> Store: O(1)
> Evict: O(1)
> emitWindow: O(1)
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