menna224 commented on issue #7909: URL: https://github.com/apache/hudi/issues/7909#issuecomment-1980752394
> We're using Hudi `0.12.1` via AWS Glue and we also started facing the "Failed to create marker file" errors. We tried to change the configuration and use `hoodie.write.markers.type=DIRECT`, however, now we're seeing throttling errors: > > ``` > org.apache.hudi.exception.HoodieUpsertException: Error upserting bucketType UPDATE for partition :20 > at org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.handleUpsertPartition(BaseSparkCommitActionExecutor.java:329) > at org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.lambda$mapPartitionsAsRDD$a3ab3c4$1(BaseSparkCommitActionExecutor.java:244) > at org.apache.spark.api.java.JavaRDDLike.$anonfun$mapPartitionsWithIndex$1(JavaRDDLike.scala:102) > at org.apache.spark.api.java.JavaRDDLike.$anonfun$mapPartitionsWithIndex$1$adapted(JavaRDDLike.scala:102) > at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndex$2(RDD.scala:907) > at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndex$2$adapted(RDD.scala:907) > at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:329) > at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365) > at org.apache.spark.rdd.RDD.$anonfun$getOrCompute$1(RDD.scala:378) > at org.apache.spark.storage.BlockManager.$anonfun$doPutIterator$1(BlockManager.scala:1525) > at org.apache.spark.storage.BlockManager.org$apache$spark$storage$BlockManager$$doPut(BlockManager.scala:1435) > at org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1499) > at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:1322) > at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:376) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:327) > at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:329) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) > at org.apache.spark.scheduler.Task.run(Task.scala:138) > at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548) > at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1517) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551) > 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:750) > Caused by: com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.services.s3.model.AmazonS3Exception: Slow Down (Service: Amazon S3; Status Code: 503; Error Code: 503 Slow Down; Request ID: xxx; S3 Extended Request ID: xxx; Proxy: null), S3 Extended Request ID: xxx > at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.http.AmazonHttpClient$RequestExecutor.handleErrorResponse(AmazonHttpClient.java:1879) > at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.http.AmazonHttpClient$RequestExecutor.handleServiceErrorResponse(AmazonHttpClient.java:1418) > at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.http.AmazonHttpClient$RequestExecutor.executeOneRequest(AmazonHttpClient.java:1387) > at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.http.AmazonHttpClient$RequestExecutor.executeHelper(AmazonHttpClient.java:1157) > at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.http.AmazonHttpClient$RequestExecutor.doExecute(AmazonHttpClient.java:814) > at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.http.AmazonHttpClient$RequestExecutor.executeWithTimer(AmazonHttpClient.java:781) > at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.http.AmazonHttpClient$RequestExecutor.execute(AmazonHttpClient.java:755) > at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.http.AmazonHttpClient$RequestExecutor.access$500(AmazonHttpClient.java:715) > at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.http.AmazonHttpClient$RequestExecutionBuilderImpl.execute(AmazonHttpClient.java:697) > at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.http.AmazonHttpClient.execute(AmazonHttpClient.java:561) > at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.http.AmazonHttpClient.execute(AmazonHttpClient.java:541) > at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:5456) > at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:5403) > at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.services.s3.AmazonS3Client.getObjectMetadata(AmazonS3Client.java:1372) > at com.amazon.ws.emr.hadoop.fs.s3.lite.call.GetObjectMetadataCall.perform(GetObjectMetadataCall.java:26) > at com.amazon.ws.emr.hadoop.fs.s3.lite.call.GetObjectMetadataCall.perform(GetObjectMetadataCall.java:12) > at com.amazon.ws.emr.hadoop.fs.s3.lite.executor.GlobalS3Executor$CallPerformer.call(GlobalS3Executor.java:111) > at com.amazon.ws.emr.hadoop.fs.s3.lite.executor.GlobalS3Executor.execute(GlobalS3Executor.java:138) > at com.amazon.ws.emr.hadoop.fs.s3.lite.AmazonS3LiteClient.invoke(AmazonS3LiteClient.java:191) > at com.amazon.ws.emr.hadoop.fs.s3.lite.AmazonS3LiteClient.invoke(AmazonS3LiteClient.java:186) > at com.amazon.ws.emr.hadoop.fs.s3.lite.AmazonS3LiteClient.getObjectMetadata(AmazonS3LiteClient.java:96) > at com.amazon.ws.emr.hadoop.fs.s3.lite.AbstractAmazonS3Lite.getObjectMetadata(AbstractAmazonS3Lite.java:43) > at com.amazon.ws.emr.hadoop.fs.s3n.Jets3tNativeFileSystemStore.getFileMetadataFromCacheOrS3(Jets3tNativeFileSystemStore.java:636) > at com.amazon.ws.emr.hadoop.fs.s3n.Jets3tNativeFileSystemStore.retrieveMetadata(Jets3tNativeFileSystemStore.java:320) > at com.amazon.ws.emr.hadoop.fs.s3n.Jets3tNativeFileSystemStore.isFolderUsingFolderObject(Jets3tNativeFileSystemStore.java:236) > at com.amazon.ws.emr.hadoop.fs.s3n.Jets3tNativeFileSystemStore.isFolder(Jets3tNativeFileSystemStore.java:212) > at com.amazon.ws.emr.hadoop.fs.s3n.S3NativeFileSystem.getFileStatus(S3NativeFileSystem.java:518) > at com.amazon.ws.emr.hadoop.fs.s3n.S3NativeFileSystem.mkdir(S3NativeFileSystem.java:912) > at com.amazon.ws.emr.hadoop.fs.s3n.S3NativeFileSystem.mkdirs(S3NativeFileSystem.java:905) > at org.apache.hadoop.fs.FileSystem.mkdirs(FileSystem.java:2449) > at com.amazon.ws.emr.hadoop.fs.EmrFileSystem.mkdirs(EmrFileSystem.java:492) > at org.apache.hudi.common.fs.HoodieWrapperFileSystem.lambda$mkdirs$25(HoodieWrapperFileSystem.java:641) > at org.apache.hudi.common.fs.HoodieWrapperFileSystem.executeFuncWithTimeMetrics(HoodieWrapperFileSystem.java:106) > at org.apache.hudi.common.fs.HoodieWrapperFileSystem.mkdirs(HoodieWrapperFileSystem.java:640) > at org.apache.hudi.table.marker.DirectWriteMarkers.create(DirectWriteMarkers.java:163) > at org.apache.hudi.table.marker.DirectWriteMarkers.create(DirectWriteMarkers.java:155) > at org.apache.hudi.table.marker.WriteMarkers.create(WriteMarkers.java:64) > at org.apache.hudi.io.HoodieWriteHandle.createMarkerFile(HoodieWriteHandle.java:187) > at org.apache.hudi.io.HoodieMergeHandle.init(HoodieMergeHandle.java:201) > at org.apache.hudi.io.HoodieMergeHandle.<init>(HoodieMergeHandle.java:129) > at org.apache.hudi.io.HoodieMergeHandle.<init>(HoodieMergeHandle.java:120) > at org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.getUpdateHandle(BaseSparkCommitActionExecutor.java:377) > at org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.handleUpdate(BaseSparkCommitActionExecutor.java:348) > at org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.handleUpsertPartition(BaseSparkCommitActionExecutor.java:322) > ... 28 more > > Driver stacktrace: > at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2863) > at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2799) > at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2798) > 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:2798) > at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1239) > at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1239) > at scala.Option.foreach(Option.scala:407) > at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1239) > at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:3051) > at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2993) > at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2982) > at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49) > at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:1009) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:2229) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:2250) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:2269) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:2294) > at org.apache.spark.rdd.RDD.count(RDD.scala:1274) > at org.apache.hudi.HoodieSparkSqlWriter$.commitAndPerformPostOperations(HoodieSparkSqlWriter.scala:706) > at org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:340) > at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:154) > at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:45) > at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:75) > at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:73) > at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:84) > at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:103) > at org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:107) > at org.apache.spark.sql.execution.SQLExecution$.withTracker(SQLExecution.scala:224) > at org.apache.spark.sql.execution.SQLExecution$.executeQuery$1(SQLExecution.scala:114) > at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$7(SQLExecution.scala:139) > at org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:107) > at org.apache.spark.sql.execution.SQLExecution$.withTracker(SQLExecution.scala:224) > at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:139) > at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:245) > at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:138) > at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779) > at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:68) > at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:100) > at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:96) > at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:615) > at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:177) > at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:615) > at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:30) > at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267) > at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263) > at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30) > at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30) > at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:591) > at org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:96) > at org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:83) > at org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:81) > at org.apache.spark.sql.execution.QueryExecution.assertCommandExecuted(QueryExecution.scala:124) > at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:860) > at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:390) > at org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:363) > at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:247) > at sun.reflect.GeneratedMethodAccessor154.invoke(Unknown Source) > at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:498) > at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244) > at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357) > at py4j.Gateway.invoke(Gateway.java:282) > at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) > at py4j.commands.CallCommand.execute(CallCommand.java:79) > at py4j.ClientServerConnection.sendCommand(ClientServerConnection.java:244) > at py4j.CallbackClient.sendCommand(CallbackClient.java:384) > at py4j.CallbackClient.sendCommand(CallbackClient.java:356) > at py4j.reflection.PythonProxyHandler.invoke(PythonProxyHandler.java:106) > at com.sun.proxy.$Proxy56.call(Unknown Source) > at org.apache.spark.sql.execution.streaming.sources.PythonForeachBatchHelper$.$anonfun$callForeachBatch$1(ForeachBatchSink.scala:51) > at org.apache.spark.sql.execution.streaming.sources.PythonForeachBatchHelper$.$anonfun$callForeachBatch$1$adapted(ForeachBatchSink.scala:51) > at org.apache.spark.sql.execution.streaming.sources.ForeachBatchSink.addBatch(ForeachBatchSink.scala:32) > at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runBatch$17(MicroBatchExecution.scala:669) > at org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:107) > at org.apache.spark.sql.execution.SQLExecution$.withTracker(SQLExecution.scala:224) > at org.apache.spark.sql.execution.SQLExecution$.executeQuery$1(SQLExecution.scala:114) > at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$7(SQLExecution.scala:139) > at org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:107) > at org.apache.spark.sql.execution.SQLExecution$.withTracker(SQLExecution.scala:224) > at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:139) > at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:245) > at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:138) > at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779) > at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:68) > at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runBatch$16(MicroBatchExecution.scala:667) > at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:376) > at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:374) > at org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:68) > at org.apache.spark.sql.execution.streaming.MicroBatchExecution.runBatch(MicroBatchExecution.scala:667) > at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$2(MicroBatchExecution.scala:264) > at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23) > at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken(ProgressReporter.scala:376) > at org.apache.spark.sql.execution.streaming.ProgressReporter.reportTimeTaken$(ProgressReporter.scala:374) > at org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:68) > at org.apache.spark.sql.execution.streaming.MicroBatchExecution.$anonfun$runActivatedStream$1(MicroBatchExecution.scala:227) > at org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:67) > at org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:221) > at org.apache.spark.sql.execution.streaming.StreamExecution.$anonfun$runStream$1(StreamExecution.scala:307) > at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23) > at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779) > at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:285) > at org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:208) > Caused by: org.apache.hudi.exception.HoodieUpsertException: Error upserting bucketType UPDATE for partition :20 > at org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.handleUpsertPartition(BaseSparkCommitActionExecutor.java:329) > at org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.lambda$mapPartitionsAsRDD$a3ab3c4$1(BaseSparkCommitActionExecutor.java:244) > at org.apache.spark.api.java.JavaRDDLike.$anonfun$mapPartitionsWithIndex$1(JavaRDDLike.scala:102) > at org.apache.spark.api.java.JavaRDDLike.$anonfun$mapPartitionsWithIndex$1$adapted(JavaRDDLike.scala:102) > at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndex$2(RDD.scala:907) > at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndex$2$adapted(RDD.scala:907) > at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:329) > at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365) > at org.apache.spark.rdd.RDD.$anonfun$getOrCompute$1(RDD.scala:378) > at org.apache.spark.storage.BlockManager.$anonfun$doPutIterator$1(BlockManager.scala:1525) > at org.apache.spark.storage.BlockManager.org$apache$spark$storage$BlockManager$$doPut(BlockManager.scala:1435) > at org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1499) > at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:1322) > at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:376) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:327) > at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:329) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) > at org.apache.spark.scheduler.Task.run(Task.scala:138) > at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548) > at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1517) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551) > at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) > at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) > at java.lang.Thread.run(Thread.java:750) > Caused by: com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.services.s3.model.AmazonS3Exception: Slow Down (Service: Amazon S3; Status Code: 503; Error Code: 503 Slow Down; Request ID: xxx; S3 Extended Request ID: xxx; Proxy: null), S3 Extended Request ID: xxx > at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.http.AmazonHttpClient$RequestExecutor.handleErrorResponse(AmazonHttpClient.java:1879) > at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.http.AmazonHttpClient$RequestExecutor.handleServiceErrorResponse(AmazonHttpClient.java:1418) > at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.http.AmazonHttpClient$RequestExecutor.executeOneRequest(AmazonHttpClient.java:1387) > at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.http.AmazonHttpClient$RequestExecutor.executeHelper(AmazonHttpClient.java:1157) > at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.http.AmazonHttpClient$RequestExecutor.doExecute(AmazonHttpClient.java:814) > at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.http.AmazonHttpClient$RequestExecutor.executeWithTimer(AmazonHttpClient.java:781) > at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.http.AmazonHttpClient$RequestExecutor.execute(AmazonHttpClient.java:755) > at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.http.AmazonHttpClient$RequestExecutor.access$500(AmazonHttpClient.java:715) > at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.http.AmazonHttpClient$RequestExecutionBuilderImpl.execute(AmazonHttpClient.java:697) > at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.http.AmazonHttpClient.execute(AmazonHttpClient.java:561) > at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.http.AmazonHttpClient.execute(AmazonHttpClient.java:541) > at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:5456) > at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:5403) > at com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.services.s3.AmazonS3Client.getObjectMetadata(AmazonS3Client.java:1372) > at com.amazon.ws.emr.hadoop.fs.s3.lite.call.GetObjectMetadataCall.perform(GetObjectMetadataCall.java:26) > at com.amazon.ws.emr.hadoop.fs.s3.lite.call.GetObjectMetadataCall.perform(GetObjectMetadataCall.java:12) > at com.amazon.ws.emr.hadoop.fs.s3.lite.executor.GlobalS3Executor$CallPerformer.call(GlobalS3Executor.java:111) > at com.amazon.ws.emr.hadoop.fs.s3.lite.executor.GlobalS3Executor.execute(GlobalS3Executor.java:138) > at com.amazon.ws.emr.hadoop.fs.s3.lite.AmazonS3LiteClient.invoke(AmazonS3LiteClient.java:191) > at com.amazon.ws.emr.hadoop.fs.s3.lite.AmazonS3LiteClient.invoke(AmazonS3LiteClient.java:186) > at com.amazon.ws.emr.hadoop.fs.s3.lite.AmazonS3LiteClient.getObjectMetadata(AmazonS3LiteClient.java:96) > at com.amazon.ws.emr.hadoop.fs.s3.lite.AbstractAmazonS3Lite.getObjectMetadata(AbstractAmazonS3Lite.java:43) > at com.amazon.ws.emr.hadoop.fs.s3n.Jets3tNativeFileSystemStore.getFileMetadataFromCacheOrS3(Jets3tNativeFileSystemStore.java:636) > at com.amazon.ws.emr.hadoop.fs.s3n.Jets3tNativeFileSystemStore.retrieveMetadata(Jets3tNativeFileSystemStore.java:320) > at com.amazon.ws.emr.hadoop.fs.s3n.Jets3tNativeFileSystemStore.isFolderUsingFolderObject(Jets3tNativeFileSystemStore.java:236) > at com.amazon.ws.emr.hadoop.fs.s3n.Jets3tNativeFileSystemStore.isFolder(Jets3tNativeFileSystemStore.java:212) > at com.amazon.ws.emr.hadoop.fs.s3n.S3NativeFileSystem.getFileStatus(S3NativeFileSystem.java:518) > at com.amazon.ws.emr.hadoop.fs.s3n.S3NativeFileSystem.mkdir(S3NativeFileSystem.java:912) > at com.amazon.ws.emr.hadoop.fs.s3n.S3NativeFileSystem.mkdirs(S3NativeFileSystem.java:905) > at org.apache.hadoop.fs.FileSystem.mkdirs(FileSystem.java:2449) > at com.amazon.ws.emr.hadoop.fs.EmrFileSystem.mkdirs(EmrFileSystem.java:492) > at org.apache.hudi.common.fs.HoodieWrapperFileSystem.lambda$mkdirs$25(HoodieWrapperFileSystem.java:641) > at org.apache.hudi.common.fs.HoodieWrapperFileSystem.executeFuncWithTimeMetrics(HoodieWrapperFileSystem.java:106) > at org.apache.hudi.common.fs.HoodieWrapperFileSystem.mkdirs(HoodieWrapperFileSystem.java:640) > at org.apache.hudi.table.marker.DirectWriteMarkers.create(DirectWriteMarkers.java:163) > at org.apache.hudi.table.marker.DirectWriteMarkers.create(DirectWriteMarkers.java:155) > at org.apache.hudi.table.marker.WriteMarkers.create(WriteMarkers.java:64) > at org.apache.hudi.io.HoodieWriteHandle.createMarkerFile(HoodieWriteHandle.java:187) > at org.apache.hudi.io.HoodieMergeHandle.init(HoodieMergeHandle.java:201) > at org.apache.hudi.io.HoodieMergeHandle.<init>(HoodieMergeHandle.java:129) > at org.apache.hudi.io.HoodieMergeHandle.<init>(HoodieMergeHandle.java:120) > at org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.getUpdateHandle(BaseSparkCommitActionExecutor.java:377) > at org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.handleUpdate(BaseSparkCommitActionExecutor.java:348) > at org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.handleUpsertPartition(BaseSparkCommitActionExecutor.java:322) > ... 28 more > ``` > > Any ideas how to fix this? I am having the same issue.. any idea? -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
