You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Maciej Szymkiewicz (JIRA)" <ji...@apache.org> on 2017/01/10 20:47:58 UTC

[jira] [Updated] (SPARK-19162) Input types validation

     [ https://issues.apache.org/jira/browse/SPARK-19162?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Maciej Szymkiewicz updated SPARK-19162:
---------------------------------------
    Affects Version/s:     (was: 1.5.0)

> Input types validation
> ----------------------
>
>                 Key: SPARK-19162
>                 URL: https://issues.apache.org/jira/browse/SPARK-19162
>             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
>
> =Current state
> Right now `UserDefinedFunctions` don't perform any input type validation. It will accept non-callable objects just to fail with hard to understand traceback:
> {code}
> In [1]: from pyspark.sql.functions import udf
> In [2]: df = spark.range(0, 1)
> In [3]: f = udf(None)
> In [4]: df.select(f()).first()
> 17/01/07 19:30:50 ERROR Executor: Exception in task 2.0 in stage 2.0 (TID 7)
> ...
> Py4JJavaError: An error occurred while calling o51.collectToPython.
> ...
> TypeError: 'NoneType' object is not callable
> ...
> {code}
> Invalid arguments to UDF call fail fast but 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}
> Proposed
> Apply basic type validation for both constructor arguments:
> {code}
> In [7]: udf(None)
> ---------------------------------------------------------------------------
> TypeError                                 Traceback (most recent call last)
> <ipython-input-7-0765fbe657a9> in <module>()
> ----> 1 udf(None)
> ...
> TypeError: func should be a callable object (a function or an instance of a class with __call__). Got <class 'NoneType'>
> {code}
> and call arguments:
> {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 message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org