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Posted to commits@hudi.apache.org by "sivabalan narayanan (Jira)" <ji...@apache.org> on 2022/04/20 21:35:00 UTC
[jira] [Assigned] (HUDI-3934) Spark datasource read for spark3.2.0 fails w/ latest master
[ https://issues.apache.org/jira/browse/HUDI-3934?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
sivabalan narayanan reassigned HUDI-3934:
-----------------------------------------
Assignee: Alexey Kudinkin
> Spark datasource read for spark3.2.0 fails w/ latest master
> -----------------------------------------------------------
>
> Key: HUDI-3934
> URL: https://issues.apache.org/jira/browse/HUDI-3934
> Project: Apache Hudi
> Issue Type: Bug
> Components: spark
> Reporter: sivabalan narayanan
> Assignee: Alexey Kudinkin
> Priority: Blocker
> Fix For: 0.11.0
>
>
> Ran quick start w/ latest master. read is failing for COW table.
> {code:java}
> scala> spark.sql("select fare, begin_lon, begin_lat, ts from hudi_trips_snapshot where fare > 20.0").show()
> 22/04/20 15:15:20 ERROR Executor: Exception in task 0.0 in stage 59.0 (TID 68)
> java.lang.NoSuchMethodError: org.apache.spark.sql.execution.datasources.DataSourceUtils$.datetimeRebaseSpec(Lscala/Function1;Ljava/lang/String;)Lorg/apache/spark/sql/catalyst/util/RebaseDateTime$RebaseSpec;
> at org.apache.spark.sql.execution.datasources.parquet.Spark32HoodieParquetFileFormat.$anonfun$buildReaderWithPartitionValues$2(Spark32HoodieParquetFileFormat.scala:163)
> at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:116)
> at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:164)
> at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:93)
> at org.apache.spark.sql.execution.FileSourceScanExec$$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.processNext(Unknown Source)
> at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:759)
> at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:349)
> at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
> at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
> at org.apache.spark.scheduler.Task.run(Task.scala:131)
> at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:506)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1462)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:509)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> 22/04/20 15:15:20 WARN TaskSetManager: Lost task 0.0 in stage 59.0 (TID 68) (10.0.0.202 executor driver): java.lang.NoSuchMethodError: org.apache.spark.sql.execution.datasources.DataSourceUtils$.datetimeRebaseSpec(Lscala/Function1;Ljava/lang/String;)Lorg/apache/spark/sql/catalyst/util/RebaseDateTime$RebaseSpec;
> at org.apache.spark.sql.execution.datasources.parquet.Spark32HoodieParquetFileFormat.$anonfun$buildReaderWithPartitionValues$2(Spark32HoodieParquetFileFormat.scala:163)
> at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:116)
> at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:164)
> at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:93)
> at org.apache.spark.sql.execution.FileSourceScanExec$$anon$1.hasNext(DataSourceScanExec.scala:522)
> at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.columnartorow_nextBatch_0$(Unknown Source)
> at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
> at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:759)
> at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:349)
> at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
> at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
> 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)
> 22/04/20 15:15:20 ERROR TaskSetManager: Task 0 in stage 59.0 failed 1 times; aborting job
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 59.0 failed 1 times, most recent failure: Lost task 0.0 in stage 59.0 (TID 68) (10.0.0.202 executor driver): java.lang.NoSuchMethodError: org.apache.spark.sql.execution.datasources.DataSourceUtils$.datetimeRebaseSpec(Lscala/Function1;Ljava/lang/String;)Lorg/apache/spark/sql/catalyst/util/RebaseDateTime$RebaseSpec;
> at org.apache.spark.sql.execution.datasources.parquet.Spark32HoodieParquetFileFormat.$anonfun$buildReaderWithPartitionValues$2(Spark32HoodieParquetFileFormat.scala:163)
> at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:116)
> at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:164)
> at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:93)
> at org.apache.spark.sql.execution.FileSourceScanExec$$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.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 org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:349)
> at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
> at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
> 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:2403)
> at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2352)
> at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2351)
> 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:2351)
> at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1109)
> at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1109)
> at scala.Option.foreach(Option.scala:407)
> at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1109)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2591)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2533)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2522)
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
> at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:898)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2214)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2235)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2254)
> at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:476)
> at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:429)
> at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:48)
> at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3715)
> at org.apache.spark.sql.Dataset.$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 org.apache.spark.sql.Dataset.show(Dataset.scala:806)
> at org.apache.spark.sql.Dataset.show(Dataset.scala:765)
> at org.apache.spark.sql.Dataset.show(Dataset.scala:774)
> ... 59 elided
> Caused by: java.lang.NoSuchMethodError: org.apache.spark.sql.execution.datasources.DataSourceUtils$.datetimeRebaseSpec(Lscala/Function1;Ljava/lang/String;)Lorg/apache/spark/sql/catalyst/util/RebaseDateTime$RebaseSpec;
> at org.apache.spark.sql.execution.datasources.parquet.Spark32HoodieParquetFileFormat.$anonfun$buildReaderWithPartitionValues$2(Spark32HoodieParquetFileFormat.scala:163)
> at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:116)
> at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:164)
> at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:93)
> at org.apache.spark.sql.execution.FileSourceScanExec$$anon$1.hasNext(DataSourceScanExec.scala:522)
> at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.columnartorow_nextBatch_0$(Unknown Source) {code}
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