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  1. Spark
  2. SPARK-19743

Exception when creating more than one implicit Encoder in REPL

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Details

    • Bug
    • Status: Resolved
    • Major
    • Resolution: Incomplete
    • 2.0.2, 2.1.1, 2.2.0
    • None
    • Spark Shell

    Description

      During test I wanted to create 2 different bean classes and encoders for them.
      First time it worked.

      scala> class Test(@scala.beans.BeanProperty var xxx: Long) {}
defined class Test

scala> import org.apache.spark.sql.Encoders
import org.apache.spark.sql.Encoders

scala> implicit val testEncoder = Encoders.bean(classOf[Test])
testEncoder: org.apache.spark.sql.Encoder[Test] = class[xxx[0]: bigint]

scala> spark.range(10).map(new Test(_)).show()
+---+
|xxx|
+---+
|  0|
|  1|
|  2|
|  3|
|  4|
|  5|
|  6|
|  7|
|  8|
|  9|
+---+

      Second try give me exception.

      scala> class Test2(@scala.beans.BeanProperty var xxx: Long) {}
defined class Test2

scala> implicit val test2Encoder = Encoders.bean(classOf[Test2])
test2Encoder: org.apache.spark.sql.Encoder[Test2] = class[xxx[0]: bigint]

scala> spark.range(10).map(new Test2(_)).show()

17/02/26 18:10:15 WARN TaskSetManager: Lost task 0.0 in stage 2.0 (TID 2, cdh-data-4.gid): java.lang.ExceptionInInitializerError
        at $line17.$read$$iw.<init>(<console>:9)
        at $line17.$read.<init>(<console>:45)
        at $line17.$read$.<init>(<console>:49)
        at $line17.$read$.<clinit>(<console>)
        at $line19.$read$$iw.<init>(<console>:10)
        at $line19.$read.<init>(<console>:21)
        at $line19.$read$.<init>(<console>:25)
        at $line19.$read$.<clinit>(<console>)
        at $line21.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$anonfun$1.apply(<console>:32)
        at $line21.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$anonfun$1.apply(<console>:32)
        at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
        at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
        at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370)
        at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:246)
        at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:240)
        at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:803)
        at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:803)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
        at org.apache.spark.scheduler.Task.run(Task.scala:86)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
        at java.lang.Thread.run(Thread.java:745)
Caused by: org.apache.spark.SparkException: A master URL must be set in your configuration
        at org.apache.spark.SparkContext.<init>(SparkContext.scala:368)
        at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2258)
        at org.apache.spark.sql.SparkSession$Builder$$anonfun$8.apply(SparkSession.scala:831)
        at org.apache.spark.sql.SparkSession$Builder$$anonfun$8.apply(SparkSession.scala:823)
        at scala.Option.getOrElse(Option.scala:121)
        at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:823)
        at org.apache.spark.repl.Main$.createSparkSession(Main.scala:95)
        at $line3.$read$$iw$$iw.<init>(<console>:15)
        at $line3.$read$$iw.<init>(<console>:31)
        at $line3.$read.<init>(<console>:33)
        at $line3.$read$.<init>(<console>:37)
        at $line3.$read$.<clinit>(<console>)
        ... 26 more

17/02/26 18:10:15 ERROR TaskSetManager: Task 0 in stage 2.0 failed 1 times; aborting job
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 2.0 failed 1 times, most recent failure: Lost task 0.0 in stage 2.0 (TID 2, cdh-data-4.gid): java.lang.ExceptionInInitializerError
        at <init>(<console>:9)
        at <init>(<console>:45)
        at .<init>(<console>:49)
        at .<clinit>(<console>)
        at <init>(<console>:10)
        at <init>(<console>:21)
        at .<init>(<console>:25)
        at .<clinit>(<console>)
        at $anonfun$1.apply(<console>:32)
        at $anonfun$1.apply(<console>:32)
        at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
        at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
        at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370)
        at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:246)
        at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:240)
        at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:803)
        at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:803)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
        at org.apache.spark.scheduler.Task.run(Task.scala:86)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
        at java.lang.Thread.run(Thread.java:745)
Caused by: org.apache.spark.SparkException: A master URL must be set in your configuration
        at org.apache.spark.SparkContext.<init>(SparkContext.scala:368)
        at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2258)
        at org.apache.spark.sql.SparkSession$Builder$$anonfun$8.apply(SparkSession.scala:831)
        at org.apache.spark.sql.SparkSession$Builder$$anonfun$8.apply(SparkSession.scala:823)
        at scala.Option.getOrElse(Option.scala:121)
        at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:823)
        at org.apache.spark.repl.Main$.createSparkSession(Main.scala:95)
        at <init>(<console>:15)
        at <init>(<console>:31)
        at <init>(<console>:33)
        at .<init>(<console>:37)
        at .<clinit>(<console>)
        ... 26 more

Driver stacktrace:
  at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1454)
  at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1442)
  at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1441)
  at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
  at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
  at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1441)
  at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811)
  at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811)
  at scala.Option.foreach(Option.scala:257)
  at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:811)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1667)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1622)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1611)
  at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
  at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:632)
  at org.apache.spark.SparkContext.runJob(SparkContext.scala:1873)
  at org.apache.spark.SparkContext.runJob(SparkContext.scala:1886)
  at org.apache.spark.SparkContext.runJob(SparkContext.scala:1899)
  at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:347)
  at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:39)
  at org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$execute$1$1.apply(Dataset.scala:2193)
  at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:57)
  at org.apache.spark.sql.Dataset.withNewExecutionId(Dataset.scala:2546)
  at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$execute$1(Dataset.scala:2192)
  at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collect(Dataset.scala:2199)
  at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:1935)
  at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:1934)
  at org.apache.spark.sql.Dataset.withTypedCallback(Dataset.scala:2576)
  at org.apache.spark.sql.Dataset.head(Dataset.scala:1934)
  at org.apache.spark.sql.Dataset.take(Dataset.scala:2149)
  at org.apache.spark.sql.Dataset.showString(Dataset.scala:239)
  at org.apache.spark.sql.Dataset.show(Dataset.scala:526)
  at org.apache.spark.sql.Dataset.show(Dataset.scala:486)
  at org.apache.spark.sql.Dataset.show(Dataset.scala:495)
  ... 48 elided
Caused by: java.lang.ExceptionInInitializerError: org.apache.spark.SparkException: A master URL must be set in your configuration
Caused by: org.apache.spark.SparkException: A master URL must be set in your configuration
  at org.apache.spark.SparkContext.<init>(SparkContext.scala:368)
  at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2258)
  at org.apache.spark.sql.SparkSession$Builder$$anonfun$8.apply(SparkSession.scala:831)
  at org.apache.spark.sql.SparkSession$Builder$$anonfun$8.apply(SparkSession.scala:823)
  at scala.Option.getOrElse(Option.scala:121)
  at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:823)
  at org.apache.spark.repl.Main$.createSparkSession(Main.scala:95)
  ... 26 more

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            maver1ck Maciej Bryński
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            Dates

              Created:
              Updated:
              Resolved: