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Posted to issues@flink.apache.org by "Greg Hogan (JIRA)" <ji...@apache.org> on 2016/05/26 20:24:12 UTC

[jira] [Issue Comment Deleted] (FLINK-3910) New self-join operator

     [ https://issues.apache.org/jira/browse/FLINK-3910?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Greg Hogan updated FLINK-3910:
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    Comment: was deleted

(was: I see this case as part of flushing out the remaining join operators. Flink could get by with `map`, `reduce`, and `join` but we are kindly given additional operators for clarity and performance. Outer joins have been quite useful despite that we could instead use `coGroup`. anti- and semi-joins would be similarly useful but are for now just comments in code.

`selfJoin` can have a large impact on performance. A `reduce` is `O(n)` but a join is `O(n^2)` so data skew has a much larger effect.

How would extension classes contrast with simply marking methods as `@PublicEvolving`?

I do see that it may be desirable to defer major features to the next release when there is insufficient time to settle.)

> New self-join operator
> ----------------------
>
>                 Key: FLINK-3910
>                 URL: https://issues.apache.org/jira/browse/FLINK-3910
>             Project: Flink
>          Issue Type: New Feature
>          Components: DataSet API, Java API, Scala API
>    Affects Versions: 1.1.0
>            Reporter: Greg Hogan
>            Assignee: Greg Hogan
>
> Flink currently provides inner- and outer-joins as well as cogroup and the non-keyed cross. {{JoinOperator}} hints at future support for semi- and anti-joins.
> Many Gelly algorithms perform a self-join [0]. Still pending reviews, FLINK-3768 performs a self-join on non-skewed data in TriangleListing.java and FLINK-3780 performs a self-join on skewed data in JaccardSimilarity.java. A {{SelfJoinHint}} will select between skewed and non-skewed implementations.
> The object-reuse-disabled case can be simply handled with a new {{Operator}}. The object-reuse-enabled case requires either {{CopyableValue}} types (as in the code above) or a custom driver which has access to the serializer (or making the serializer accessible to rich functions, and I think there be dragons).
> If the idea of a self-join is agreeable, I'd like to work out a rough implementation and go from there.
> [0] https://en.wikipedia.org/wiki/Join_%28SQL%29#Self-join



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