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Posted to issues@kudu.apache.org by "Grant Henke (Jira)" <ji...@apache.org> on 2021/07/13 20:03:03 UTC
[jira] [Assigned] (KUDU-2500) Kudu Spark InterfaceStability class
not found
[ https://issues.apache.org/jira/browse/KUDU-2500?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Grant Henke reassigned KUDU-2500:
---------------------------------
Assignee: (was: Grant Henke)
> Kudu Spark InterfaceStability class not found
> ---------------------------------------------
>
> Key: KUDU-2500
> URL: https://issues.apache.org/jira/browse/KUDU-2500
> Project: Kudu
> Issue Type: Bug
> Components: spark
> Affects Versions: 1.7.0
> Reporter: Grant Henke
> Priority: Major
>
> We recently marked the Yetus annotation library as optional because the annotations are not used at runtime and therefore should not be needed. Here is a good summary of why the annotations are not required at runtime: https://stackoverflow.com/questions/3567413/why-doesnt-a-missing-annotation-cause-a-classnotfoundexception-at-runtime/3568041#3568041
> However, for some reason Spark is requiring the annotation when performing some reflection. See the sample stacktrace below:
> {code}
> Driver stacktrace:
> at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1602)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1590)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1589)
> at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
> at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1589)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831)
> at scala.Option.foreach(Option.scala:257)
> at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:831)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1823)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1772)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1761)
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
> at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:642)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2034)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2055)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2074)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2099)
> at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1.apply(RDD.scala:929)
> at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1.apply(RDD.scala:927)
> at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)
> at org.apache.spark.rdd.RDD.foreachPartition(RDD.scala:927)
> at org.apache.spark.sql.Dataset$$anonfun$foreachPartition$1.apply$mcV$sp(Dataset.scala:2675)
> at org.apache.spark.sql.Dataset$$anonfun$foreachPartition$1.apply(Dataset.scala:2675)
> at org.apache.spark.sql.Dataset$$anonfun$foreachPartition$1.apply(Dataset.scala:2675)
> at org.apache.spark.sql.Dataset$$anonfun$withNewRDDExecutionId$1.apply(Dataset.scala:3239)
> at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:77)
> at org.apache.spark.sql.Dataset.withNewRDDExecutionId(Dataset.scala:3235)
> at org.apache.spark.sql.Dataset.foreachPartition(Dataset.scala:2674)
> at org.apache.kudu.spark.kudu.KuduContext.writeRows(KuduContext.scala:276)
> at org.apache.kudu.spark.kudu.KuduContext.insertRows(KuduContext.scala:206)
> at org.apache.kudu.backup.KuduRestore$$anonfun$run$1.apply(KuduRestore.scala:65)
> at org.apache.kudu.backup.KuduRestore$$anonfun$run$1.apply(KuduRestore.scala:44)
> at scala.collection.immutable.List.foreach(List.scala:392)
> at org.apache.kudu.backup.KuduRestore$.run(KuduRestore.scala:44)
> at org.apache.kudu.backup.TestKuduBackup.backupAndRestore(TestKuduBackup.scala:310)
> at org.apache.kudu.backup.TestKuduBackup$$anonfun$2.apply$mcV$sp(TestKuduBackup.scala:83)
> at org.apache.kudu.backup.TestKuduBackup$$anonfun$2.apply(TestKuduBackup.scala:76)
> at org.apache.kudu.backup.TestKuduBackup$$anonfun$2.apply(TestKuduBackup.scala:76)
> at org.scalatest.OutcomeOf$class.outcomeOf(OutcomeOf.scala:85)
> at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
> at org.scalatest.Transformer.apply(Transformer.scala:22)
> at org.scalatest.Transformer.apply(Transformer.scala:20)
> at org.scalatest.FunSuiteLike$$anon$1.apply(FunSuiteLike.scala:186)
> at org.scalatest.TestSuite$class.withFixture(TestSuite.scala:196)
> at org.scalatest.FunSuite.withFixture(FunSuite.scala:1560)
> at org.scalatest.FunSuiteLike$class.invokeWithFixture$1(FunSuiteLike.scala:183)
> at org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:196)
> at org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:196)
> at org.scalatest.SuperEngine.runTestImpl(Engine.scala:289)
> at org.scalatest.FunSuiteLike$class.runTest(FunSuiteLike.scala:196)
> at org.apache.kudu.backup.TestKuduBackup.org$scalatest$BeforeAndAfterEach$$super$runTest(TestKuduBackup.scala:41)
> at org.scalatest.BeforeAndAfterEach$class.runTest(BeforeAndAfterEach.scala:221)
> at org.apache.kudu.backup.TestKuduBackup.runTest(TestKuduBackup.scala:41)
> at org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:229)
> at org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:229)
> at org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:396)
> at org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:384)
> at scala.collection.immutable.List.foreach(List.scala:392)
> at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:384)
> at org.scalatest.SuperEngine.org$scalatest$SuperEngine$$runTestsInBranch(Engine.scala:379)
> at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:461)
> at org.scalatest.FunSuiteLike$class.runTests(FunSuiteLike.scala:229)
> at org.scalatest.FunSuite.runTests(FunSuite.scala:1560)
> at org.scalatest.Suite$class.run(Suite.scala:1147)
> at org.scalatest.FunSuite.org$scalatest$FunSuiteLike$$super$run(FunSuite.scala:1560)
> at org.scalatest.FunSuiteLike$$anonfun$run$1.apply(FunSuiteLike.scala:233)
> at org.scalatest.FunSuiteLike$$anonfun$run$1.apply(FunSuiteLike.scala:233)
> at org.scalatest.SuperEngine.runImpl(Engine.scala:521)
> at org.scalatest.FunSuiteLike$class.run(FunSuiteLike.scala:233)
> at org.scalatest.FunSuite.run(FunSuite.scala:1560)
> at org.scalatest.junit.JUnitRunner.run(JUnitRunner.scala:99)
> at org.junit.runners.Suite.runChild(Suite.java:128)
> at org.junit.runners.Suite.runChild(Suite.java:27)
> at org.junit.runners.ParentRunner$3.run(ParentRunner.java:290)
> at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:71)
> at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:288)
> at org.junit.runners.ParentRunner.access$000(ParentRunner.java:58)
> at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:268)
> at org.junit.runners.ParentRunner.run(ParentRunner.java:363)
> at org.junit.runner.JUnitCore.run(JUnitCore.java:137)
> at org.junit.runner.JUnitCore.run(JUnitCore.java:115)
> at org.junit.runner.JUnitCore.runMain(JUnitCore.java:77)
> at org.junit.runner.JUnitCore.main(JUnitCore.java:36)
> Caused by: java.lang.NoClassDefFoundError: org/apache/yetus/audience/InterfaceStability
> at java.lang.Class.getDeclaringClass0(Native Method)
> at java.lang.Class.getDeclaringClass(Class.java:1235)
> at java.lang.Class.getEnclosingClass(Class.java:1277)
> at java.lang.Class.getSimpleBinaryName(Class.java:1443)
> at java.lang.Class.getSimpleName(Class.java:1309)
> at org.apache.spark.sql.execution.datasources.parquet.SpecificParquetRecordReaderBase.initialize(SpecificParquetRecordReaderBase.java:162)
> at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.initialize(VectorizedParquetRecordReader.java:133)
> at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$buildReaderWithPartitionValues$1.apply(ParquetFileFormat.scala:404)
> at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$buildReaderWithPartitionValues$1.apply(ParquetFileFormat.scala:345)
> at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:128)
> at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:182)
> at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:109)
> at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.scan_nextBatch_0$(Unknown Source)
> at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
> at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$10$$anon$1.hasNext(WholeStageCodegenExec.scala:614)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
> at scala.collection.Iterator$class.foreach(Iterator.scala:891)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)
> at org.apache.kudu.spark.kudu.KuduContext.org$apache$kudu$spark$kudu$KuduContext$$writePartitionRows(KuduContext.scala:305)
> at org.apache.kudu.spark.kudu.KuduContext$$anonfun$writeRows$1.apply(KuduContext.scala:277)
> at org.apache.kudu.spark.kudu.KuduContext$$anonfun$writeRows$1.apply(KuduContext.scala:276)
> at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$29.apply(RDD.scala:929)
> at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$29.apply(RDD.scala:929)
> at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2074)
> at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2074)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
> at org.apache.spark.scheduler.Task.run(Task.scala:109)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> {code}
> I haven't found exactly why this issue is happening, in the mean time we could mark the Yetus annotations as provided to workaround the issue. However, I would prefer to fix the root cause.
>
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