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From "John Sichi (JIRA)" <j...@apache.org>
Subject [jira] Updated: (HIVE-1994) Support new annotation @UDFType(stateful = true)
Date Fri, 18 Feb 2011 22:30:38 GMT

     [ https://issues.apache.org/jira/browse/HIVE-1994?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

John Sichi updated HIVE-1994:
-----------------------------

    Attachment: HIVE-1994.0.patch

Preliminary patch with everything except the fix to prevent short-circuiting.


> Support new annotation @UDFType(stateful = true)
> ------------------------------------------------
>
>                 Key: HIVE-1994
>                 URL: https://issues.apache.org/jira/browse/HIVE-1994
>             Project: Hive
>          Issue Type: Improvement
>          Components: Query Processor, UDF
>            Reporter: John Sichi
>            Assignee: John Sichi
>         Attachments: HIVE-1994.0.patch
>
>
> Because Hive does not yet support window functions from SQL/OLAP, people have started
hacking around it by writing stateful UDF's for things like cumulative sum.  An example is
row_sequence in contrib.
> To clearly mark these, I think we should add a new annotation (with separate semantics
from the existing deterministic annotation).  I'm proposing the name stateful for lack of
a better idea, but I'm open to suggestions.
> The semantics are as follows:
> * A stateful UDF can only be used in the SELECT list, not in other clauses such as WHERE/ON/ORDER/GROUP
> * When a stateful UDF is present in a query, there's an implication that its SELECT needs
to be treated as similar to TRANSFORM, i.e. when there's DISTRIBUTE/CLUSTER/SORT clause, then
run inside the corresponding reducer to make sure that the results are as expected.
> For the first one, an example of why we need this is AND/OR short-circuiting; we don't
want these optimizations to cause the invocation to be skipped in a confusing way, so we should
just ban it outright (which is what SQL/OLAP does for window functions).
> For the second one, I'm not entirely certain about the details since some of it is lost
in the mists in Hive prehistory, but at least if we have the annotation, we'll be able to
preserve backwards compatibility as we start adding new cost-based optimizations which might
otherwise break it.  A specific example would be inserting a materialization step (e.g. for
global query optimization) in between the DISTRIBUTE/CLUSTER/SORT and the outer SELECT containing
the stateful UDF invocation; this could be a problem if the mappers in the second job subdivides
the buckets generated by the first job.  So we wouldn't do anything immediately, but the presence
of the annotation will help us going forward.

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