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https://issues.apache.org/jira/browse/SPARK-19728?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16840488#comment-16840488
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Krishna Prasanna Sistla commented on SPARK-19728:
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Is it resolved ? I am still seeing this error in 2.3.1
> PythonUDF with multiple parents shouldn't be pushed down when used as a
> predicate
> ----------------------------------------------------------------------------------
>
> Key: SPARK-19728
> URL: https://issues.apache.org/jira/browse/SPARK-19728
> Project: Spark
> Issue Type: Bug
> Components: PySpark, SQL
> Affects Versions: 2.0.0, 2.1.0
> Reporter: Maciej Szymkiewicz
> Priority: Major
> Fix For: 2.2.0
>
>
> Prior to Spark 2.0 it was possible to use Python UDF output as a predicate:
> {code}
> from pyspark.sql.functions import udf
> from pyspark.sql.types import BooleanType
> df1 = sc.parallelize([(1, ), (2, )]).toDF(["col_a"])
> df2 = sc.parallelize([(2, ), (3, )]).toDF(["col_b"])
> pred = udf(lambda x, y: x == y, BooleanType())
> df1.join(df2).where(pred("col_a", "col_b")).show()
> {code}
> In Spark 2.0 this is no longer possible:
> {code}
> spark.conf.set("spark.sql.crossJoin.enabled", True)
> df1.join(df2).where(pred("col_a", "col_b")).show()
> ## ...
> ## Py4JJavaError: An error occurred while calling o731.showString.
> : java.lang.RuntimeException: Invalid PythonUDF <lambda>(col_a#132L,
> col_b#135L), requires attributes from more than one child.
> ## ...
> {code}
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