Full trace doesn't provide any further details. It looks like this: Py4JJavaError: An error occurred while calling o337.showString. : org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 18.0 failed 4 times, most recent failure: Lost task 1.3 in stage 18.0 (TID 220) (10.128.6.170 executor 13): java.lang.NoClassDefFoundError: Could not initialize class org.apache.spark.sql.catalyst.util.RebaseDateTime$ at org.apache.spark.sql.catalyst.util.RebaseDateTime.lastSwitchJulianTs(RebaseDateTime.scala) at org.apache.spark.sql.execution.datasources.parquet.ParquetVectorUpdaterFactory.rebaseTimestamp(ParquetVectorUpdaterFactory.java:1067) at org.apache.spark.sql.execution.datasources.parquet.ParquetVectorUpdaterFactory.rebaseInt96(ParquetVectorUpdaterFactory.java:1088) at org.apache.spark.sql.execution.datasources.parquet.ParquetVectorUpdaterFactory.access$1500(ParquetVectorUpdaterFactory.java:43) at org.apache.spark.sql.execution.datasources.parquet.ParquetVectorUpdaterFactory$BinaryToSQLTimestampRebaseUpdater.decodeSingleDictionaryId(ParquetVectorUpdaterFactory.java:860) at org.apache.spark.sql.execution.datasources.parquet.ParquetVectorUpdater.decodeDictionaryIds(ParquetVectorUpdater.java:75) at org.apache.spark.sql.execution.datasources.parquet.VectorizedColumnReader.readBatch(VectorizedColumnReader.java:216) at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.nextBatch(VectorizedParquetRecordReader.java:298) at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.nextKeyValue(VectorizedParquetRecordReader.java:196) at org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:104) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:191) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:104) at org.apache.spark.sql.execution.FileSourceScanExec$$anon$1.hasNext(DataSourceScanExec.scala:522) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.columnartorow_nextBatch_0$(Unknown Source) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.agg_doAggregateWithKeys_1$(Unknown Source) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.agg_doAggregateWithKeys_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$$anon$1.hasNext(WholeStageCodegenExec.scala:759) at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460) at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:140) at org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52) at org.apache.spark.scheduler.Task.run(Task.scala:131) at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:506) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1462) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:509) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2454) at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2403) at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2402) at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62) at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2402) at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1160) at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1160) at scala.Option.foreach(Option.scala:407) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1160) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2642) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2584) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2573) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:938) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2214) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2235) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2254) at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:476) at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:429) at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:48) at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3715) at org.apache.spark.sql.Dataset.$anonfun$head$1(Dataset.scala:2728) at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3706) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103) at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64) at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3704) at org.apache.spark.sql.Dataset.head(Dataset.scala:2728) at org.apache.spark.sql.Dataset.take(Dataset.scala:2935) at org.apache.spark.sql.Dataset.getRows(Dataset.scala:287) at org.apache.spark.sql.Dataset.showString(Dataset.scala:326) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244) at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357) at py4j.Gateway.invoke(Gateway.java:282) at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) at py4j.commands.CallCommand.execute(CallCommand.java:79) at py4j.GatewayConnection.run(GatewayConnection.java:238) at java.lang.Thread.run(Thread.java:748) Caused by: java.lang.NoClassDefFoundError: Could not initialize class org.apache.spark.sql.catalyst.util.RebaseDateTime$ at org.apache.spark.sql.catalyst.util.RebaseDateTime.lastSwitchJulianTs(RebaseDateTime.scala) at org.apache.spark.sql.execution.datasources.parquet.ParquetVectorUpdaterFactory.rebaseTimestamp(ParquetVectorUpdaterFactory.java:1067) at org.apache.spark.sql.execution.datasources.parquet.ParquetVectorUpdaterFactory.rebaseInt96(ParquetVectorUpdaterFactory.java:1088) at org.apache.spark.sql.execution.datasources.parquet.ParquetVectorUpdaterFactory.access$1500(ParquetVectorUpdaterFactory.java:43) at org.apache.spark.sql.execution.datasources.parquet.ParquetVectorUpdaterFactory$BinaryToSQLTimestampRebaseUpdater.decodeSingleDictionaryId(ParquetVectorUpdaterFactory.java:860) at org.apache.spark.sql.execution.datasources.parquet.ParquetVectorUpdater.decodeDictionaryIds(ParquetVectorUpdater.java:75) at org.apache.spark.sql.execution.datasources.parquet.VectorizedColumnReader.readBatch(VectorizedColumnReader.java:216) at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.nextBatch(VectorizedParquetRecordReader.java:298) at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.nextKeyValue(VectorizedParquetRecordReader.java:196) at org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:104) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:191) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:104) at org.apache.spark.sql.execution.FileSourceScanExec$$anon$1.hasNext(DataSourceScanExec.scala:522) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.columnartorow_nextBatch_0$(Unknown Source) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.agg_doAggregateWithKeys_1$(Unknown Source) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.agg_doAggregateWithKeys_0$(Unknown Source) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:759) at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460) at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:140) at org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52) at org.apache.spark.scheduler.Task.run(Task.scala:131) at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:506) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1462) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:509) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) ... 1 more
On Wed, Mar 9, 2022 at 5:11 PM Sean Owen <sro...@gmail.com> wrote: > Doesn't quite seem the same. What is the rest of the error -- why did the > class fail to initialize? > > On Wed, Mar 9, 2022 at 10:08 AM Andreas Weise <andreas.we...@gmail.com> > wrote: > >> Hi, >> >> When playing around with spark.dynamicAllocation.enabled I face the >> following error after the first round of executors have been killed. >> >> Py4JJavaError: An error occurred while calling o337.showString. : >> org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 >> in stage 18.0 failed 4 times, most recent failure: Lost task 1.3 in stage >> 18.0 (TID 220) (10.128.6.170 executor 13): java.lang.NoClassDefFoundError: >> Could not initialize class >> org.apache.spark.sql.catalyst.util.RebaseDateTime$ at >> org.apache.spark.sql.catalyst.util.RebaseDateTime.lastSwitchJulianTs(RebaseDateTime.scala) >> at >> org.apache.spark.sql.execution.datasources.parquet.ParquetVectorUpdaterFactory.rebaseTimestamp(ParquetVectorUpdaterFactory.java:1067) >> at >> org.apache.spark.sql.execution.datasources.parquet.ParquetVectorUpdaterFactory.rebaseInt96(ParquetVectorUpdaterFactory.java:1088) >> at >> org.apache.spark.sql.execution.datasources.parquet.ParquetVectorUpdaterFactory.access$1500(ParquetVectorUpdaterFactory.java:43) >> at >> org.apache.spark.sql.execution.datasources.parquet.ParquetVectorUpdaterFactory$BinaryToSQLTimestampRebaseUpdater.decodeSingleDictionaryId(ParquetVectorUpdaterFactory.java:860) >> at >> org.apache.spark.sql.execution.datasources.parquet.ParquetVectorUpdater.decodeDictionaryIds(ParquetVectorUpdater.java:75) >> at >> org.apache.spark.sql.execution.datasources.parquet.VectorizedColumnReader.readBatch(VectorizedColumnReader.java:216) >> at >> org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.nextBatch(VectorizedParquetRecordReader.java:298) >> at >> org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.nextKeyValue(VectorizedParquetRecordReader.java:196) >> at >> org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39) >> at >> org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:104) >> at >> org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:191) >> at >> org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:104) >> at >> org.apache.spark.sql.execution.FileSourceScanExec$$anon$1.hasNext(DataSourceScanExec.scala:522) >> at >> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.columnartorow_nextBatch_0$(Unknown >> Source) at >> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.agg_doAggregateWithKeys_1$(Unknown >> Source) at >> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.agg_doAggregateWithKeys_0$(Unknown >> Source) at >> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown >> Source) at >> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) >> at >> org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:759) >> at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460) at >> org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:140) >> at >> org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59) >> at >> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99) >> at >> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52) >> at org.apache.spark.scheduler.Task.run(Task.scala:131) at >> org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:506) >> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1462) at >> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:509) at >> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) >> at >> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) >> at java.lang.Thread.run(Thread.java:748) >> >> We tested on Spark 3.2.1 k8s with these dynamicAllocation settings: >> >> spark.dynamicAllocation.enabled=true >> spark.dynamicAllocation.maxExecutors=4 >> spark.dynamicAllocation.minExecutors=1 >> spark.dynamicAllocation.executorIdleTimeout=30s >> spark.dynamicAllocation.shuffleTracking.enabled=true >> spark.dynamicAllocation.shuffleTracking.timeout=30s >> spark.decommission.enabled=true >> >> Might be related to SPARK-34772 / >> https://www.mail-archive.com/commits@spark.apache.org/msg50240.html but >> as this was fixed for 3.2.0 it might be worth another issue ? >> >> Best regards >> Andreas >> >
