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Posted to issues@spark.apache.org by "Srinivas Rishindra Pothireddi (Jira)" <ji...@apache.org> on 2023/01/15 01:57:00 UTC

[jira] [Updated] (SPARK-42068) Parallelization in Scala is not working with Java 11 and spark3

     [ https://issues.apache.org/jira/browse/SPARK-42068?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Srinivas Rishindra Pothireddi updated SPARK-42068:
--------------------------------------------------
    Environment: spark version 3.3.1 Using Scala version 2.12.15 (OpenJDK 64-Bit Server VM, Java 11.0.17)  (was:       ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /___/ .__/\_,_/_/ /_/\_\   version 3.3.1
      /_/

Using Scala version 2.12.15 (OpenJDK 64-Bit Server VM, Java 11.0.17))

> Parallelization in Scala is not working 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. I am not sure if this is an issue with Scala 2.12.15 or with spark itself. 



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