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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-19427) UserDefinedFunction should support data types strings
Date Wed, 01 Feb 2017 18:06:51 GMT

    [ https://issues.apache.org/jira/browse/SPARK-19427?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15848720#comment-15848720
] 

Apache Spark commented on SPARK-19427:
--------------------------------------

User 'zero323' has created a pull request for this issue:
https://github.com/apache/spark/pull/16769

> UserDefinedFunction should support data types strings
> -----------------------------------------------------
>
>                 Key: SPARK-19427
>                 URL: https://issues.apache.org/jira/browse/SPARK-19427
>             Project: Spark
>          Issue Type: Sub-task
>          Components: PySpark, SQL
>    Affects Versions: 2.0.0, 2.1.0
>            Reporter: Maciej Szymkiewicz
>
> PySpark SQL supports casting using data type strings. 
> {code}
> from pyspark.sql.functions import col
> col("foo").cast("integer")
> {code}
> It should be possible to do the same with {{udf}} / {{UserDefinedFunction}}:
> {code}
> from pyspark.sql import udf
> udf(lambda x: x + 1, "integer")
> {code}



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