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From "Alexander Alexandrov (JIRA)" <j...@apache.org>
Subject [jira] [Created] (FLINK-1297) Add support for tracking statistics of intermediate results
Date Tue, 02 Dec 2014 13:51:12 GMT
Alexander Alexandrov created FLINK-1297:

             Summary: 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

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

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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