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https://issues.apache.org/jira/browse/SPARK-19165?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15816341#comment-15816341
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Apache Spark commented on SPARK-19165:
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User 'zero323' has created a pull request for this issue:
https://github.com/apache/spark/pull/16537
> UserDefinedFunction should verify call arguments and provide readable
> exception in case of mismatch
> ---------------------------------------------------------------------------------------------------
>
> Key: SPARK-19165
> URL: https://issues.apache.org/jira/browse/SPARK-19165
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark, SQL
> Affects Versions: 1.6.0, 2.0.0, 2.1.0, 2.2.0
> Reporter: Maciej Szymkiewicz
>
> Invalid arguments to UDF call fail with a bit cryptic Py4J errors:
> {code}
> In [5]: g = udf(lambda x: x)
> In [6]: df.select(f([]))
> ---------------------------------------------------------------------------
> Py4JError Traceback (most recent call last)
> <ipython-input-10-5fb48a5d66d2> in <module>()
> ----> 1 df.select(f([]))
> ....
> Py4JError: An error occurred while calling
> z:org.apache.spark.sql.functions.col. Trace:
> py4j.Py4JException: Method col([class java.util.ArrayList]) does not exist
> at py4j.reflection.ReflectionEngine.getMethod(ReflectionEngine.java:318)
> at py4j.reflection.ReflectionEngine.getMethod(ReflectionEngine.java:339)
> at py4j.Gateway.invoke(Gateway.java:274)
> at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
> at py4j.commands.CallCommand.execute(CallCommand.java:79)
> at py4j.GatewayConnection.run(GatewayConnection.java:214)
> at java.lang.Thread.run(Thread.java:745)
> {code}
> It is pretty easy to perform basic input validation:
> {code}
> In [8]: f = udf(lambda x: x)
> In [9]: f(1)
> ---------------------------------------------------------------------------
> TypeError Traceback (most recent call last)
> ...
> TypeError: All arguments should be Columns or strings representing column
> names. Got 1 of type <class 'int'>
> {code}
> This can be further extended to check for expected number of arguments or
> even, with some type of annotations, SQL types.
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