Chhavi Bansal created SPARK-47104:
-------------------------------------

             Summary: Spark SQL query fails with NullPointerException
                 Key: SPARK-47104
                 URL: https://issues.apache.org/jira/browse/SPARK-47104
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 3.2.1
            Reporter: Chhavi Bansal


I am trying to run a very simple SQL query involving join and orderby clause 
and then using UUID() function in the outermost select stmt. The query fails
{code:java}
val df = spark.read.format("csv").option("header", 
"true").load("src/main/resources/titanic.csv")
df.createOrReplaceTempView("titanic")
val query = spark.sql(" select name, uuid() as _iid from (select s.name from 
titanic s join titanic t on s.name = t.name order by name) ;") 
query.show() // FAILS{code}
Dataset is a normal csv file with the following columns
{code:java}
PassengerId,Survived,Pclass,Name,Gender,Age,SibSp,Parch,Ticket,Fare,Cabin,Embarked
 {code}
Below is the error
{code:java}
Exception in thread "main" java.lang.NullPointerException
at 
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown
 Source)
at 
org.apache.spark.sql.execution.TakeOrderedAndProjectExec.$anonfun$executeCollect$2(limit.scala:207)
at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:237)
at scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
at scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:198)
at scala.collection.TraversableLike.map(TraversableLike.scala:237)
at scala.collection.TraversableLike.map$(TraversableLike.scala:230)
at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:198)
at 
org.apache.spark.sql.execution.TakeOrderedAndProjectExec.executeCollect(limit.scala:207)
at 
org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.$anonfun$executeCollect$1(AdaptiveSparkPlanExec.scala:338)
at 
org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.withFinalPlanUpdate(AdaptiveSparkPlanExec.scala:366)
at 
org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.executeCollect(AdaptiveSparkPlanExec.scala:338)
at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3715)
at org.apache.spark.sql.Dataset.$anonfun$head$1(Dataset.scala:2728)
at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3706)
at 
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
at 
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
at 
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at 
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3704)
at org.apache.spark.sql.Dataset.head(Dataset.scala:2728)
at org.apache.spark.sql.Dataset.take(Dataset.scala:2935)
at org.apache.spark.sql.Dataset.getRows(Dataset.scala:287)
at org.apache.spark.sql.Dataset.showString(Dataset.scala:326)
at org.apache.spark.sql.Dataset.show(Dataset.scala:808)
at org.apache.spark.sql.Dataset.show(Dataset.scala:785)
at 
hyperspace2.sparkPlan$.delayedEndpoint$hyperspace2$sparkPlan$1(sparkPlan.scala:14)
at hyperspace2.sparkPlan$delayedInit$body.apply(sparkPlan.scala:6)
at scala.Function0.apply$mcV$sp(Function0.scala:39)
at scala.Function0.apply$mcV$sp$(Function0.scala:39)
at scala.runtime.AbstractFunction0.apply$mcV$sp(AbstractFunction0.scala:17)
at scala.App.$anonfun$main$1$adapted(App.scala:80)
at scala.collection.immutable.List.foreach(List.scala:392)
at scala.App.main(App.scala:80)
at scala.App.main$(App.scala:78)
at hyperspace2.sparkPlan$.main(sparkPlan.scala:6)
at hyperspace2.sparkPlan.main(sparkPlan.scala) {code}
Note:
 # here if I remove order by clause then it produces the correct output.
 # This happens when I read the dataset using csv file, works fine if I make 
the dataframe using Seq().toDf
 # The query fails if I use spark.sql("query").show() but is success when I 
simple write it to csv file

[https://stackoverflow.com/questions/78020267/spark-sql-query-fails-with-nullpointerexception]

Please can someone look into why this happens just when using `show()` since 
this is failing queries in production for me.



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