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From "Reynold Xin (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-5097) Adding data frame APIs to SchemaRDD
Date Wed, 28 Jan 2015 08:03:34 GMT

     [ https://issues.apache.org/jira/browse/SPARK-5097?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Reynold Xin resolved SPARK-5097.
--------------------------------
       Resolution: Fixed
    Fix Version/s: 1.3.0

> Adding data frame APIs to SchemaRDD
> -----------------------------------
>
>                 Key: SPARK-5097
>                 URL: https://issues.apache.org/jira/browse/SPARK-5097
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>            Reporter: Reynold Xin
>            Assignee: Reynold Xin
>            Priority: Critical
>             Fix For: 1.3.0
>
>         Attachments: DesignDocAddingDataFrameAPIstoSchemaRDD.pdf
>
>
> SchemaRDD, through its DSL, already provides common data frame functionalities. However,
the DSL was originally created for constructing test cases without much end-user usability
and API stability consideration. This design doc proposes a set of API changes for Scala and
Python to make the SchemaRDD DSL API more usable and stable.



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