[SPARK-47104] Spark SQL query fails with NullPointerException

• Type: Bug
• Status: Closed
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 3.0.3, 3.1.3, 3.2.1, 3.4.2, 3.5.0
• Fix Version/s: 4.0.0
• Component/s: SQL
• Labels: pull-request-available
• Assignee: Bruce Robbins
• Reporter: Chhavi Bansal
• Created: 20/Feb/24 14:47
• Updated: 23/Feb/24 08:34
• Resolved: 21/Feb/24 20:53

Description

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

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

Dataset is a normal csv file with the following columns

PassengerId,Survived,Pclass,Name,Gender,Age,SibSp,Parch,Ticket,Fare,Cabin,Embarked 

Below is the error

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) 

Note:

1. here if I remove order by clause then it produces the correct output.
2. This happens when I read the dataset using csv file, works fine if I make the dataframe using Seq().toDf
3. 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.

Issue Links

• links to: GitHub Pull Request #45199