[
https://issues.apache.org/jira/browse/SPARK-48706?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon updated SPARK-48706:
---------------------------------
Description:
{code}
from pyspark.sql.functions import transform, udf, col, array
spark.range(1).select(transform(array("id"), lambda x: udf(lambda y:
y)(x))).collect()
{code}
throws an internal error:
{code}
at
org.apache.spark.SparkException$.internalError(SparkException.scala:88)
at
org.apache.spark.SparkException$.internalError(SparkException.scala:92)
at
org.apache.spark.sql.errors.QueryExecutionErrors$.cannotEvaluateExpressionError(QueryExecutionErrors.scala:73)
at
org.apache.spark.sql.catalyst.expressions.Unevaluable.eval(Expression.scala:507)
at
org.apache.spark.sql.catalyst.expressions.Unevaluable.eval$(Expression.scala:506)
{code}
was:
{code}
from pyspark.sql.functions import transform, udf, col, array
spark.range(1).select(transform(array("id"), lambda x: udf(lambda y:
y)(x))).collect()
{code}
> Python UDF in higher order functions should not throw internal error
> --------------------------------------------------------------------
>
> Key: SPARK-48706
> URL: https://issues.apache.org/jira/browse/SPARK-48706
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 4.0.0
> Reporter: Hyukjin Kwon
> Priority: Major
>
> {code}
> from pyspark.sql.functions import transform, udf, col, array
> spark.range(1).select(transform(array("id"), lambda x: udf(lambda y:
> y)(x))).collect()
> {code}
> throws an internal error:
> {code}
> at
> org.apache.spark.SparkException$.internalError(SparkException.scala:88)
> at
> org.apache.spark.SparkException$.internalError(SparkException.scala:92)
> at
> org.apache.spark.sql.errors.QueryExecutionErrors$.cannotEvaluateExpressionError(QueryExecutionErrors.scala:73)
> at
> org.apache.spark.sql.catalyst.expressions.Unevaluable.eval(Expression.scala:507)
> at
> org.apache.spark.sql.catalyst.expressions.Unevaluable.eval$(Expression.scala:506)
> {code}
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