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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-8345) Add an SQL node as a feature transformer
Date Fri, 17 Jul 2015 10:54:06 GMT

     [ https://issues.apache.org/jira/browse/SPARK-8345?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-8345:
-----------------------------------

    Assignee: Yanbo Liang  (was: Apache Spark)

> Add an SQL node as a feature transformer
> ----------------------------------------
>
>                 Key: SPARK-8345
>                 URL: https://issues.apache.org/jira/browse/SPARK-8345
>             Project: Spark
>          Issue Type: Sub-task
>          Components: ML
>            Reporter: Xiangrui Meng
>            Assignee: Yanbo Liang
>
> Some simple feature transformations can take leverage on SQL operators. Users do not
need to create an ML transformer for each of them. We can have an SQL transformer that executes
an SQL command which operates on the input dataframe.
> {code}
> val sql = new SQL()
>   .setStatement("SELECT *, length(text) AS text_length FROM __THIS__")
> {code}
> where "__THIS__" will be replaced by a temp table that represents the DataFrame.



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