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From "Alexander Alexandrov (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-1297) Add support for tracking statistics of intermediate results
Date Tue, 02 Dec 2014 16:48:12 GMT

    [ https://issues.apache.org/jira/browse/FLINK-1297?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14231731#comment-14231731
] 

Alexander Alexandrov commented on FLINK-1297:
---------------------------------------------

This is what Max Heimel suggested as well.



> Add support for tracking statistics of intermediate results
> -----------------------------------------------------------
>
>                 Key: FLINK-1297
>                 URL: https://issues.apache.org/jira/browse/FLINK-1297
>             Project: Flink
>          Issue Type: Improvement
>          Components: Distributed Runtime
>            Reporter: Alexander Alexandrov
>            Assignee: Alexander Alexandrov
>             Fix For: 0.8-incubating
>
>   Original Estimate: 1,008h
>  Remaining Estimate: 1,008h
>
> One of the major problems related to the optimizer at the moment is the lack of proper
statistics.
> With the introduction of staged execution, it is possible to instrument the runtime code
with a statistics facility that collects the required information for optimizing the next
execution stage.
> I would therefore like to contribute code that can be used to gather basic statistics
for the (intermediate) result of dataflows (e.g. min, max, count, count distinct) and make
them available to the job manager.
> Before I start, I would like to hear some feedback form the other users.
> In particular, to handle skew (e.g. on grouping) it might be good to have some sort of
detailed sketch about the key distribution of an intermediate result. I am not sure whether
a simple histogram is the most effective way to go. Maybe somebody would propose another lightweight
sketch that provides better accuracy.



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