You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2017/10/08 15:35:00 UTC
[jira] [Commented] (SPARK-16754) NPE when defining case class and
searching Encoder in the same line
[ https://issues.apache.org/jira/browse/SPARK-16754?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16196172#comment-16196172 ]
Hyukjin Kwon commented on SPARK-16754:
--------------------------------------
I tried again today in the current master and looks still reproducible. I set the affected version.
> NPE when defining case class and searching Encoder in the same line
> -------------------------------------------------------------------
>
> Key: SPARK-16754
> URL: https://issues.apache.org/jira/browse/SPARK-16754
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.0, 2.3.0
> Environment: Spark Shell for Scala 2.11
> Reporter: Shixiong Zhu
> Priority: Minor
>
> Reproducer:
> {code}
> scala> :paste
> // Entering paste mode (ctrl-D to finish)
> case class TestCaseClass(value: Int)
> import spark.implicits._
> Seq(TestCaseClass(1)).toDS().collect()
> // Exiting paste mode, now interpreting.
> java.lang.RuntimeException: baseClassName: $line14.$read
> at org.apache.spark.sql.catalyst.encoders.OuterScopes$$anonfun$getOuterScope$1.apply(OuterScopes.scala:62)
> at org.apache.spark.sql.catalyst.expressions.objects.NewInstance$$anonfun$12.apply(objects.scala:251)
> at org.apache.spark.sql.catalyst.expressions.objects.NewInstance$$anonfun$12.apply(objects.scala:251)
> at scala.Option.map(Option.scala:146)
> at org.apache.spark.sql.catalyst.expressions.objects.NewInstance.doGenCode(objects.scala:251)
> at org.apache.spark.sql.catalyst.expressions.Expression$$anonfun$genCode$2.apply(Expression.scala:104)
> at org.apache.spark.sql.catalyst.expressions.Expression$$anonfun$genCode$2.apply(Expression.scala:101)
> at scala.Option.getOrElse(Option.scala:121)
> at org.apache.spark.sql.catalyst.expressions.Expression.genCode(Expression.scala:101)
> at org.apache.spark.sql.catalyst.expressions.codegen.GenerateSafeProjection$$anonfun$3.apply(GenerateSafeProjection.scala:145)
> at org.apache.spark.sql.catalyst.expressions.codegen.GenerateSafeProjection$$anonfun$3.apply(GenerateSafeProjection.scala:142)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.immutable.List.foreach(List.scala:381)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.immutable.List.map(List.scala:285)
> at org.apache.spark.sql.catalyst.expressions.codegen.GenerateSafeProjection$.create(GenerateSafeProjection.scala:142)
> at org.apache.spark.sql.catalyst.expressions.codegen.GenerateSafeProjection$.create(GenerateSafeProjection.scala:36)
> at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator.generate(CodeGenerator.scala:821)
> at org.apache.spark.sql.catalyst.encoders.ExpressionEncoder.constructProjection$lzycompute(ExpressionEncoder.scala:258)
> at org.apache.spark.sql.catalyst.encoders.ExpressionEncoder.constructProjection(ExpressionEncoder.scala:258)
> at org.apache.spark.sql.catalyst.encoders.ExpressionEncoder.fromRow(ExpressionEncoder.scala:289)
> at org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$execute$1$1$$anonfun$apply$15.apply(Dataset.scala:2218)
> at org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$execute$1$1$$anonfun$apply$15.apply(Dataset.scala:2218)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:186)
> at org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$execute$1$1.apply(Dataset.scala:2218)
> at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:57)
> at org.apache.spark.sql.Dataset.withNewExecutionId(Dataset.scala:2568)
> at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$execute$1(Dataset.scala:2217)
> at org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$collect$1.apply(Dataset.scala:2222)
> at org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$collect$1.apply(Dataset.scala:2222)
> at org.apache.spark.sql.Dataset.withCallback(Dataset.scala:2581)
> at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collect(Dataset.scala:2222)
> at org.apache.spark.sql.Dataset.collect(Dataset.scala:2198)
> at $line14.$read$$iw$$iw.<init>(<console>:17)
> at $line14.$read$$iw.<init>(<console>:24)
> at $line14.$read.<init>(<console>:26)
> at $line14.$read$.<init>(<console>:30)
> at $line14.$read$.<clinit>(<console>)
> at $line14.$eval$.$print$lzycompute(<console>:7)
> at $line14.$eval$.$print(<console>:6)
> at $line14.$eval.$print(<console>)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:497)
> at scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:786)
> at scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:1047)
> at scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:638)
> at scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:637)
> at scala.reflect.internal.util.ScalaClassLoader$class.asContext(ScalaClassLoader.scala:31)
> at scala.reflect.internal.util.AbstractFileClassLoader.asContext(AbstractFileClassLoader.scala:19)
> at scala.tools.nsc.interpreter.IMain$WrappedRequest.loadAndRunReq(IMain.scala:637)
> at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:569)
> at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:565)
> at scala.tools.nsc.interpreter.ILoop.interpretCode$1(ILoop.scala:750)
> at scala.tools.nsc.interpreter.ILoop.pasteCommand(ILoop.scala:764)
> at scala.tools.nsc.interpreter.ILoop$$anonfun$standardCommands$9.apply(ILoop.scala:208)
> at scala.tools.nsc.interpreter.ILoop$$anonfun$standardCommands$9.apply(ILoop.scala:208)
> at scala.tools.nsc.interpreter.LoopCommands$LineCmd.apply(LoopCommands.scala:62)
> at scala.tools.nsc.interpreter.ILoop.colonCommand(ILoop.scala:688)
> at scala.tools.nsc.interpreter.ILoop.command(ILoop.scala:679)
> at scala.tools.nsc.interpreter.ILoop.processLine(ILoop.scala:395)
> at scala.tools.nsc.interpreter.ILoop.loop(ILoop.scala:415)
> at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply$mcZ$sp(ILoop.scala:923)
> at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:909)
> at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:909)
> at scala.reflect.internal.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:97)
> at scala.tools.nsc.interpreter.ILoop.process(ILoop.scala:909)
> at org.apache.spark.repl.Main$.doMain(Main.scala:68)
> at org.apache.spark.repl.Main$.main(Main.scala:51)
> at org.apache.spark.repl.Main.main(Main.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:497)
> at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:729)
> at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:185)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:210)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:124)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> java.lang.RuntimeException: Error while decoding: java.lang.NullPointerException
> newInstance(class TestCaseClass)
> +- assertnotnull(input[0, int, false], - field (class: "scala.Int", name: "value"), - root class: "TestCaseClass")
> +- input[0, int, false]
> at org.apache.spark.sql.catalyst.encoders.ExpressionEncoder.fromRow(ExpressionEncoder.scala:292)
> at org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$execute$1$1$$anonfun$apply$15.apply(Dataset.scala:2218)
> at org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$execute$1$1$$anonfun$apply$15.apply(Dataset.scala:2218)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:186)
> at org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$execute$1$1.apply(Dataset.scala:2218)
> at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:57)
> at org.apache.spark.sql.Dataset.withNewExecutionId(Dataset.scala:2568)
> at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$execute$1(Dataset.scala:2217)
> at org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$collect$1.apply(Dataset.scala:2222)
> at org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$collect$1.apply(Dataset.scala:2222)
> at org.apache.spark.sql.Dataset.withCallback(Dataset.scala:2581)
> at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collect(Dataset.scala:2222)
> at org.apache.spark.sql.Dataset.collect(Dataset.scala:2198)
> ... 47 elided
> Caused by: java.lang.NullPointerException
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:497)
> at org.apache.spark.sql.catalyst.encoders.OuterScopes$$anonfun$getOuterScope$1.apply(OuterScopes.scala:71)
> at org.apache.spark.sql.catalyst.expressions.objects.NewInstance$$anonfun$12.apply(objects.scala:251)
> at org.apache.spark.sql.catalyst.expressions.objects.NewInstance$$anonfun$12.apply(objects.scala:251)
> at scala.Option.map(Option.scala:146)
> at org.apache.spark.sql.catalyst.expressions.objects.NewInstance.doGenCode(objects.scala:251)
> at org.apache.spark.sql.catalyst.expressions.Expression$$anonfun$genCode$2.apply(Expression.scala:104)
> at org.apache.spark.sql.catalyst.expressions.Expression$$anonfun$genCode$2.apply(Expression.scala:101)
> at scala.Option.getOrElse(Option.scala:121)
> at org.apache.spark.sql.catalyst.expressions.Expression.genCode(Expression.scala:101)
> at org.apache.spark.sql.catalyst.expressions.codegen.GenerateSafeProjection$$anonfun$3.apply(GenerateSafeProjection.scala:145)
> at org.apache.spark.sql.catalyst.expressions.codegen.GenerateSafeProjection$$anonfun$3.apply(GenerateSafeProjection.scala:142)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.immutable.List.foreach(List.scala:381)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.immutable.List.map(List.scala:285)
> at org.apache.spark.sql.catalyst.expressions.codegen.GenerateSafeProjection$.create(GenerateSafeProjection.scala:142)
> at org.apache.spark.sql.catalyst.expressions.codegen.GenerateSafeProjection$.create(GenerateSafeProjection.scala:36)
> at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator.generate(CodeGenerator.scala:821)
> at org.apache.spark.sql.catalyst.encoders.ExpressionEncoder.constructProjection$lzycompute(ExpressionEncoder.scala:258)
> at org.apache.spark.sql.catalyst.encoders.ExpressionEncoder.constructProjection(ExpressionEncoder.scala:258)
> at org.apache.spark.sql.catalyst.encoders.ExpressionEncoder.fromRow(ExpressionEncoder.scala:289)
> ... 64 more
> {code}
> Note: `:paste` is necessary to reproduce this issue.
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org