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https://issues.apache.org/jira/browse/SPARK-19427?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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holdenk resolved SPARK-19427.
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Resolution: Fixed
Assignee: Maciej Szymkiewicz
Fix Version/s: 2.2.0
Thanks for doing all of these improvements to the UDF Python APIs :)
> 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
> Assignee: Maciej Szymkiewicz
> Fix For: 2.2.0
>
>
> 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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