Huaxin Gao created SPARK-28441:
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Summary: udf(max(udf(column))) throws
java.lang.UnsupportedOperationException: Cannot evaluate expression: udf(null)
Key: SPARK-28441
URL: https://issues.apache.org/jira/browse/SPARK-28441
Project: Spark
Issue Type: Bug
Components: PySpark, SQL
Affects Versions: 3.0.0
Reporter: Huaxin Gao
I found this when doing https://issues.apache.org/jira/browse/SPARK-28277
{code:java}
>>> @pandas_udf("string", PandasUDFType.SCALAR)
... def noop(x):
... return x.apply(str)
...
>>> spark.udf.register("udf", noop)
<function noop at 0x111b5f9d8>
>>> spark.sql("CREATE OR REPLACE TEMPORARY VIEW t1 as select * from values
>>> (\"one\", 1), (\"two\", 2),(\"three\", 3),(\"one\", NULL) as t1(k, v)")
DataFrame[]
>>> spark.sql("CREATE OR REPLACE TEMPORARY VIEW t2 as select * from values
>>> (\"one\", 1), (\"two\", 22),(\"one\", 5),(\"one\", NULL), (NULL, 5) as
>>> t2(k, v)")
DataFrame[]
>>> spark.sql("SELECT t1.k FROM t1 WHERE t1.v <= (SELECT udf(max(udf(t2.v)))
>>> FROM t2 WHERE udf(t2.k) = udf(t1.k))").show()
py4j.protocol.Py4JJavaError: An error occurred while calling o65.showString.
: java.lang.UnsupportedOperationException: Cannot evaluate expression: udf(null)
at
org.apache.spark.sql.catalyst.expressions.Unevaluable.eval(Expression.scala:296)
at
org.apache.spark.sql.catalyst.expressions.Unevaluable.eval$(Expression.scala:295)
at org.apache.spark.sql.catalyst.expressions.PythonUDF.eval(PythonUDF.scala:52)
{code}
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