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From "Yin Huai (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-13871) Add support for inferring filters from data constraints
Date Wed, 16 Mar 2016 23:27:33 GMT

     [ https://issues.apache.org/jira/browse/SPARK-13871?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Yin Huai updated SPARK-13871:
-----------------------------
    Assignee: Sameer Agarwal

> Add support for inferring filters from data constraints
> -------------------------------------------------------
>
>                 Key: SPARK-13871
>                 URL: https://issues.apache.org/jira/browse/SPARK-13871
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>            Reporter: Sameer Agarwal
>            Assignee: Sameer Agarwal
>            Priority: Minor
>             Fix For: 2.0.0
>
>
> Now that we have an infrastructure for propagating data constraints, we should generalize
the NullFiltering optimizer rule in catalyst to InferFiltersFromConstraints that can automatically
infer all relevant filters based on an operator's constraints while making sure of 2 things:
> (a) no redundant filters are generated, and 
> (b) filters that do not contribute to any further optimizations are not generated.



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