Maciej Szymkiewicz created SPARK-19162: ------------------------------------------
Summary: 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: 2.1.0, 2.0.0, 1.6.0, 1.5.0, 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-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org