[ https://issues.apache.org/jira/browse/SPARK-42068?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Attila Zsolt Piros resolved SPARK-42068. ---------------------------------------- Resolution: Workaround Resolving this issue as a workaround exits by using a custom ForkJoinWorkerThreadFactory which does not change the context class loader. Moreover there is no other way to replace the thread factory for a directly constructed ForkJoinPool as the default thread factory is final field, see https://github.com/openjdk/jdk/blame/jdk-11%2B28/src/java.base/share/classes/java/util/concurrent/ForkJoinPool.java#L1184-L1185 > Implicit conversion is not working with parallelization in scala with java 11 > and spark3 > ---------------------------------------------------------------------------------------- > > Key: SPARK-42068 > URL: https://issues.apache.org/jira/browse/SPARK-42068 > Project: Spark > Issue Type: Bug > Components: Spark Core > Affects Versions: 3.3.1, 3.2.3, 3.4.0 > Environment: spark version 3.3.1 Using Scala version 2.12.15 (OpenJDK > 64-Bit Server VM, Java 11.0.17) > Reporter: Srinivas Rishindra Pothireddi > Priority: Major > > The following code snippet fails with java 11 with spark3, but works with > java 8. It also works with spark2 and java 11. > {code:java} > import scala.collection.mutable > import scala.collection.parallel.{ExecutionContextTaskSupport, > ForkJoinTaskSupport} > case class Person(name: String, age: Int) > val pc = List(1, 2, 3).par > val forkJoinPool = new java.util.concurrent.ForkJoinPool(2) > pc.tasksupport = new ForkJoinTaskSupport(forkJoinPool) > pc.map { x => > val personList: Array[Person] = (1 to 999).map(value => Person("p" + > value, value)).toArray > //creating RDD of Person > val rddPerson = spark.sparkContext.parallelize(personList, 5) > val evenAgePerson = rddPerson.filter(_.age % 2 == 0) > import spark.implicits._ > val evenAgePersonDF = evenAgePerson.toDF("Name", "Age") > } {code} > The error is as follows. > {code:java} > scala.ScalaReflectionException: object $read not found. > at scala.reflect.internal.Mirrors$RootsBase.staticModule(Mirrors.scala:185) > at scala.reflect.internal.Mirrors$RootsBase.staticModule(Mirrors.scala:29) > at $typecreator6$1.apply(<console>:37) > at > scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe$lzycompute(TypeTags.scala:237) > at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe(TypeTags.scala:237) > at > org.apache.spark.sql.catalyst.encoders.ExpressionEncoder$.apply(ExpressionEncoder.scala:52) > at org.apache.spark.sql.Encoders$.product(Encoders.scala:300) > at > org.apache.spark.sql.LowPrioritySQLImplicits.newProductEncoder(SQLImplicits.scala:261) > at > org.apache.spark.sql.LowPrioritySQLImplicits.newProductEncoder$(SQLImplicits.scala:261) > at > org.apache.spark.sql.SQLImplicits.newProductEncoder(SQLImplicits.scala:32) > at $anonfun$res0$1(<console>:37) > at scala.runtime.java8.JFunction1$mcVI$sp.apply(JFunction1$mcVI$sp.java:23) > at > scala.collection.parallel.AugmentedIterableIterator.map2combiner(RemainsIterator.scala:116) > at > scala.collection.parallel.AugmentedIterableIterator.map2combiner$(RemainsIterator.scala:113) > at > scala.collection.parallel.immutable.ParVector$ParVectorIterator.map2combiner(ParVector.scala:66) > at > scala.collection.parallel.ParIterableLike$Map.leaf(ParIterableLike.scala:1064) > at scala.collection.parallel.Task.$anonfun$tryLeaf$1(Tasks.scala:53) > at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23) > at scala.util.control.Breaks$$anon$1.catchBreak(Breaks.scala:67) > at scala.collection.parallel.Task.tryLeaf(Tasks.scala:56) > at scala.collection.parallel.Task.tryLeaf$(Tasks.scala:50) > at > scala.collection.parallel.ParIterableLike$Map.tryLeaf(ParIterableLike.scala:1061) > at > scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask.internal(Tasks.scala:160) > at > scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask.internal$(Tasks.scala:157) > at > scala.collection.parallel.AdaptiveWorkStealingForkJoinTasks$WrappedTask.internal(Tasks.scala:440) > at > scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask.compute(Tasks.scala:150) > at > scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask.compute$(Tasks.scala:149) > at > scala.collection.parallel.AdaptiveWorkStealingForkJoinTasks$WrappedTask.compute(Tasks.scala:440) > at > java.base/java.util.concurrent.RecursiveAction.exec(RecursiveAction.java:189) > at java.base/java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:290) > at java.base/java.util.concurrent.ForkJoinTask.doJoin(ForkJoinTask.java:396) > at java.base/java.util.concurrent.ForkJoinTask.join(ForkJoinTask.java:721) > at scala.collection.parallel.ForkJoinTasks$WrappedTask.sync(Tasks.scala:379) > at > scala.collection.parallel.ForkJoinTasks$WrappedTask.sync$(Tasks.scala:379) > at > scala.collection.parallel.AdaptiveWorkStealingForkJoinTasks$WrappedTask.sync(Tasks.scala:440) > at > scala.collection.parallel.ForkJoinTasks.executeAndWaitResult(Tasks.scala:423) > at > scala.collection.parallel.ForkJoinTasks.executeAndWaitResult$(Tasks.scala:416) > at > scala.collection.parallel.ForkJoinTaskSupport.executeAndWaitResult(TaskSupport.scala:60) > at > scala.collection.parallel.ParIterableLike$ResultMapping.leaf(ParIterableLike.scala:968) > at scala.collection.parallel.Task.$anonfun$tryLeaf$1(Tasks.scala:53) > at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23) > at scala.util.control.Breaks$$anon$1.catchBreak(Breaks.scala:67) > at scala.collection.parallel.Task.tryLeaf(Tasks.scala:56) > at scala.collection.parallel.Task.tryLeaf$(Tasks.scala:50) > at > scala.collection.parallel.ParIterableLike$ResultMapping.tryLeaf(ParIterableLike.scala:963) > at > scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask.compute(Tasks.scala:153) > at > scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask.compute$(Tasks.scala:149) > at > scala.collection.parallel.AdaptiveWorkStealingForkJoinTasks$WrappedTask.compute(Tasks.scala:440) > at > java.base/java.util.concurrent.RecursiveAction.exec(RecursiveAction.java:189) > at java.base/java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:290) > at > java.base/java.util.concurrent.ForkJoinPool$WorkQueue.topLevelExec(ForkJoinPool.java:1020) > at java.base/java.util.concurrent.ForkJoinPool.scan(ForkJoinPool.java:1656) > at > java.base/java.util.concurrent.ForkJoinPool.runWorker(ForkJoinPool.java:1594) > at > java.base/java.util.concurrent.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:183) > Suppressed: scala.ScalaReflectionException: object $read not found. > at > scala.reflect.internal.Mirrors$RootsBase.staticModule(Mirrors.scala:185) > at scala.reflect.internal.Mirrors$RootsBase.staticModule(Mirrors.scala:29) > at $typecreator6$1.apply(<console>:37) > at > scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe$lzycompute(TypeTags.scala:237) > at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe(TypeTags.scala:237) > at > org.apache.spark.sql.catalyst.encoders.ExpressionEncoder$.apply(ExpressionEncoder.scala:52) > at org.apache.spark.sql.Encoders$.product(Encoders.scala:300) > at > org.apache.spark.sql.LowPrioritySQLImplicits.newProductEncoder(SQLImplicits.scala:261) > at > org.apache.spark.sql.LowPrioritySQLImplicits.newProductEncoder$(SQLImplicits.scala:261) > at > org.apache.spark.sql.SQLImplicits.newProductEncoder(SQLImplicits.scala:32) > at $anonfun$res0$1(<console>:37) > at > scala.runtime.java8.JFunction1$mcVI$sp.apply(JFunction1$mcVI$sp.java:23) > at > scala.collection.parallel.AugmentedIterableIterator.map2combiner(RemainsIterator.scala:116) > at > scala.collection.parallel.AugmentedIterableIterator.map2combiner$(RemainsIterator.scala:113) > at > scala.collection.parallel.immutable.ParVector$ParVectorIterator.map2combiner(ParVector.scala:66) > at > scala.collection.parallel.ParIterableLike$Map.leaf(ParIterableLike.scala:1064) > at scala.collection.parallel.Task.$anonfun$tryLeaf$1(Tasks.scala:53) > at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23) > at scala.util.control.Breaks$$anon$1.catchBreak(Breaks.scala:67) > at scala.collection.parallel.Task.tryLeaf(Tasks.scala:56) > at scala.collection.parallel.Task.tryLeaf$(Tasks.scala:50) > at > scala.collection.parallel.ParIterableLike$Map.tryLeaf(ParIterableLike.scala:1061) > at > scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask.internal(Tasks.scala:160) > at > scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask.internal$(Tasks.scala:157) > at > scala.collection.parallel.AdaptiveWorkStealingForkJoinTasks$WrappedTask.internal(Tasks.scala:440) > at > scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask.compute(Tasks.scala:150) > ... 8 more > Suppressed: scala.ScalaReflectionException: object $read not found. > at > scala.reflect.internal.Mirrors$RootsBase.staticModule(Mirrors.scala:185) > at > scala.reflect.internal.Mirrors$RootsBase.staticModule(Mirrors.scala:29) > at $typecreator6$1.apply(<console>:37) > at > scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe$lzycompute(TypeTags.scala:237) > at scala.reflect.api.TypeTags$WeakTypeTagImpl.tpe(TypeTags.scala:237) > at > org.apache.spark.sql.catalyst.encoders.ExpressionEncoder$.apply(ExpressionEncoder.scala:52) > at org.apache.spark.sql.Encoders$.product(Encoders.scala:300) > at > org.apache.spark.sql.LowPrioritySQLImplicits.newProductEncoder(SQLImplicits.scala:261) > at > org.apache.spark.sql.LowPrioritySQLImplicits.newProductEncoder$(SQLImplicits.scala:261) > at > org.apache.spark.sql.SQLImplicits.newProductEncoder(SQLImplicits.scala:32) > at $anonfun$res0$1(<console>:37) > at > scala.runtime.java8.JFunction1$mcVI$sp.apply(JFunction1$mcVI$sp.java:23) > at > scala.collection.parallel.AugmentedIterableIterator.map2combiner(RemainsIterator.scala:116) > at > scala.collection.parallel.AugmentedIterableIterator.map2combiner$(RemainsIterator.scala:113) > at > scala.collection.parallel.immutable.ParVector$ParVectorIterator.map2combiner(ParVector.scala:66) > at > scala.collection.parallel.ParIterableLike$Map.leaf(ParIterableLike.scala:1064) > at scala.collection.parallel.Task.$anonfun$tryLeaf$1(Tasks.scala:53) > at > scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23) > at scala.util.control.Breaks$$anon$1.catchBreak(Breaks.scala:67) > at scala.collection.parallel.Task.tryLeaf(Tasks.scala:56) > at scala.collection.parallel.Task.tryLeaf$(Tasks.scala:50) > at > scala.collection.parallel.ParIterableLike$Map.tryLeaf(ParIterableLike.scala:1061) > at > scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask.internal(Tasks.scala:170) > at > scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask.internal$(Tasks.scala:157) > at > scala.collection.parallel.AdaptiveWorkStealingForkJoinTasks$WrappedTask.internal(Tasks.scala:440) > at > scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask.compute(Tasks.scala:150) > at > scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask.compute$(Tasks.scala:149) > at > scala.collection.parallel.AdaptiveWorkStealingForkJoinTasks$WrappedTask.compute(Tasks.scala:440) > at > java.base/java.util.concurrent.RecursiveAction.exec(RecursiveAction.java:189) > at > java.base/java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:290) > at > java.base/java.util.concurrent.ForkJoinPool$WorkQueue.topLevelExec(ForkJoinPool.java:1020) > at > java.base/java.util.concurrent.ForkJoinPool.scan(ForkJoinPool.java:1656) > at > java.base/java.util.concurrent.ForkJoinPool.runWorker(ForkJoinPool.java:1594) > at > java.base/java.util.concurrent.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:183) > {code} > I noticed the following snippet in the stacktrace. > {code:java} > at scala.collection.parallel.Task.$anonfun$tryLeaf$1(Tasks.scala:53) > at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23) > at scala.util.control.Breaks$$anon$1.catchBreak(Breaks.scala:67) {code} > It seems to be that a java8 runtime is being called even though the > environment is java 11. -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org