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