Wei Zheng created SPARK-48666:
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             Summary: A filter should not be pushed down if it contains 
Unevaluable expression
                 Key: SPARK-48666
                 URL: https://issues.apache.org/jira/browse/SPARK-48666
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 4.0.0
            Reporter: Wei Zheng


We should avoid pushing down Unevaluable expression as it can cause unexpected 
failures. For example, the code snippet below
{code:java}
from pyspark import SparkConf
from pyspark.sql import SparkSession
from pyspark.sql.types import StringType

import pyspark.sql.functions as f

def getdata(p: str) -> str:
    return "data"

NEW_COLUMN = 'new_column'
P_COLUMN = 'p'

f_getdata = f.udf(getdata, StringType())
rows = spark.sql("select * from default.P132474031")

table = rows.withColumn(NEW_COLUMN, f_getdata(f.col(P_COLUMN)))

df = table.alias('t1').join(table.alias('t2'), (f.col(f"t1.{NEW_COLUMN}") == 
f.col(f"t2.{NEW_COLUMN}")), how='inner')

df.show(){code}
will cause an error like:
{code:java}
org.apache.spark.SparkException: [INTERNAL_ERROR] Cannot evaluate expression: 
getdata(input[0, string, true])#16
    at org.apache.spark.SparkException$.internalError(SparkException.scala:92)
    at org.apache.spark.SparkException$.internalError(SparkException.scala:96)
    at 
org.apache.spark.sql.errors.QueryExecutionErrors$.cannotEvaluateExpressionError(QueryExecutionErrors.scala:66)
    at 
org.apache.spark.sql.catalyst.expressions.Unevaluable.eval(Expression.scala:391)
    at 
org.apache.spark.sql.catalyst.expressions.Unevaluable.eval$(Expression.scala:390)
    at 
org.apache.spark.sql.catalyst.expressions.PythonUDF.eval(PythonUDF.scala:71)
    at 
org.apache.spark.sql.catalyst.expressions.IsNotNull.eval(nullExpressions.scala:384)
    at 
org.apache.spark.sql.catalyst.expressions.InterpretedPredicate.eval(predicates.scala:52)
    at 
org.apache.spark.sql.catalyst.catalog.ExternalCatalogUtils$.$anonfun$prunePartitionsByFilter$1(ExternalCatalogUtils.scala:166)
    at 
org.apache.spark.sql.catalyst.catalog.ExternalCatalogUtils$.$anonfun$prunePartitionsByFilter$1$adapted(ExternalCatalogUtils.scala:165)
 {code}
 
 



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