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https://issues.apache.org/jira/browse/SPARK-47104?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Bruce Robbins updated SPARK-47104:
----------------------------------
Affects Version/s: 3.5.0
3.4.2
> 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, 3.4.2, 3.5.0
> Reporter: Chhavi Bansal
> Priority: Major
>
> 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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