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https://issues.apache.org/jira/browse/SPARK-19743?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Maciej Bryński updated SPARK-19743:
-----------------------------------
Affects Version/s: 2.1.1
2.2.0
> Exception when creating more than one implicit Encoder in REPL
> --------------------------------------------------------------
>
> Key: SPARK-19743
> URL: https://issues.apache.org/jira/browse/SPARK-19743
> Project: Spark
> Issue Type: Bug
> Components: Spark Shell
> Affects Versions: 2.0.2, 2.1.1, 2.2.0
> Reporter: Maciej Bryński
>
> During test I wanted to create 2 different bean classes and encoders for
> them.
> First time it worked.
> {code}
> 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|
> +---+
> {code}
> Second try give me exception.
> {code}
> 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
> {code}
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