Failed to create Marker file

koochiswathiTR commented 1 year ago

We see Failed to create marker File

org.apache.hudi.exception.HoodieRemoteException: Failed to create marker file w_profilerRef_16/91b1a776-2a6b-4a1f-945a-c34084bfb1b7-0_7002-8506-3604370_20221208045421755.parquet.marker.MERGE ip-100-67-243-210.8043.aws-int.thomsonreuters.com:38839 failed to respond at org.apache.hudi.table.marker.TimelineServerBasedWriteMarkers.create(TimelineServerBasedWriteMarkers.java:149) 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:187) at org.apache.hudi.io.HoodieMergeHandle.(HoodieMergeHandle.java:139) at org.apache.hudi.table.HoodieSparkCopyOnWriteTable.getUpdateHandle(HoodieSparkCopyOnWriteTable.java:257) at org.apache.hudi.table.HoodieSparkCopyOnWriteTable.handleUpdate(HoodieSparkCopyOnWriteTable.java:220) at org.apache.hudi.table.action.compact.HoodieCompactor.compact(HoodieCompactor.java:227) at org.apache.hudi.table.action.compact.HoodieCompactor.lambda$compact$57154431$1(HoodieCompactor.java:138) at org.apache.spark.api.java.JavaPairRDD$.$anonfun$toScalaFunction$1(JavaPairRDD.scala:1070) at scala.collection.Iterator$$anon$10.next(Iterator.scala:461) at scala.collection.Iterator$$anon$11.nextCur(Iterator.scala:486) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:492) at org.apache.spark.storage.memory.MemoryStore.putIterator(MemoryStore.scala:223) at org.apache.spark.storage.memory.MemoryStore.putIteratorAsBytes(MemoryStore.scala:352) at org.apache.spark.storage.BlockManager.$anonfun$doPutIterator$1(BlockManager.scala:1498) at org.apache.spark.storage.BlockManager.org$apache$spark$storage$BlockManager$$doPut(BlockManager.scala:1408) at org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1472) at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:1295) at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:384) at org.apache.spark.rdd.RDD.iterator(RDD.scala:335) 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:133) at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:506) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1474) 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:750) Caused by: org.apache.http.NoHttpResponseException: ip-100-67-243-210.8043.aws-int.thomsonreuters.com:38839 failed to respond at org.apache.http.impl.conn.DefaultHttpResponseParser.parseHead(DefaultHttpResponseParser.java:141) at org.apache.http.impl.conn.DefaultHttpResponseParser.parseHead(DefaultHttpResponseParser.java:56) at org.apache.http.impl.io.AbstractMessageParser.parse(AbstractMessageParser.java:259) at org.apache.http.impl.DefaultBHttpClientConnection.receiveResponseHeader(DefaultBHttpClientConnection.java:163) at org.apache.http.impl.conn.CPoolProxy.receiveResponseHeader(CPoolProxy.java:157) at org.apache.http.protocol.HttpRequestExecutor.doReceiveResponse(HttpRequestExecutor.java:273) at org.apache.http.protocol.HttpRequestExecutor.execute(HttpRequestExecutor.java:125) at org.apache.http.impl.execchain.MainClientExec.execute(MainClientExec.java:272) at org.apache.http.impl.execchain.ProtocolExec.execute(ProtocolExec.java:186) at org.apache.http.impl.execchain.RetryExec.execute(RetryExec.java:89) at org.apache.http.impl.execchain.RedirectExec.execute(RedirectExec.java:110) at org.apache.http.impl.client.InternalHttpClient.doExecute(InternalHttpClient.java:185) at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:83) at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:108) at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:56) at org.apache.http.client.fluent.Request.execute(Request.java:143) at org.apache.hudi.table.marker.TimelineServerBasedWriteMarkers.executeRequestToTimelineServer(TimelineServerBasedWriteMarkers.java:177) at org.apache.hudi.table.marker.TimelineServerBasedWriteMarkers.create(TimelineServerBasedWriteMarkers.java:145) ... 31 more Our Hudi Configs :

DataSourceWriteOptions.TABLE_TYPE.key() -> DataSourceWriteOptions.MOR_TABLE_TYPE_OPT_VAL,
DataSourceWriteOptions.RECORDKEY_FIELD.key() -> "guid",
DataSourceWriteOptions.PARTITIONPATH_FIELD.key() -> "collectionName",
DataSourceWriteOptions.PRECOMBINE_FIELD.key() -> "operationTime",
HoodieCompactionConfig.INLINE_COMPACT_TRIGGER_STRATEGY.key() -> CompactionTriggerStrategy.TIME_ELAPSED.name,
HoodieCompactionConfig.INLINE_COMPACT_TIME_DELTA_SECONDS.key() -> String.valueOf(60 * 60),
HoodieCompactionConfig.CLEANER_POLICY.key() -> HoodieCleaningPolicy.KEEP_LATEST_COMMITS.name(),
HoodieCompactionConfig.CLEANER_COMMITS_RETAINED.key() -> "936", 
HoodieCompactionConfig.MIN_COMMITS_TO_KEEP.key() -> "937", 
HoodieCompactionConfig.MAX_COMMITS_TO_KEEP.key() -> "960", 
HoodieCompactionConfig.ASYNC_CLEAN.key() -> "false", 
HoodieCompactionConfig.INLINE_COMPACT.key() -> "true",
HoodieMetricsConfig.TURN_METRICS_ON.key() -> "true",
HoodieMetricsConfig.METRICS_REPORTER_TYPE_VALUE.key() -> MetricsReporterType.DATADOG.name(),
HoodieMetricsDatadogConfig.API_SITE_VALUE.key() -> "US",
HoodieMetricsDatadogConfig.METRIC_PREFIX_VALUE.key() -> "tacticalnovusingest.hudi",
HoodieMetricsDatadogConfig.API_KEY_SUPPLIER.key() -> "com.tr.indigo.tacticalnovusingest.utils.DatadogKeySupplier",
HoodieMetadataConfig.ENABLE.key() -> "false",
HoodieWriteConfig.ROLLBACK_USING_MARKERS_ENABLE.key() -> "false",

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Describe the problem you faced We see these exceptions in our spark streaming application, We ingest data to hudi datasets, We see these exceptions in our logs, Can you please help us here

A clear and concise description of the problem.

Expected behavior

A clear and concise description of what you expected to happen.

Environment Description AWS

Hudi version : 0.11.1
Spark version :3.2.1
Hive version :NA
Hadoop version :
Storage (HDFS/S3/GCS..) :S3
Running on Docker? (yes/no) :no

Additional context

Add any other context about the problem here.

Stacktrace

org.apache.hudi.exception.HoodieRemoteException: Failed to create marker file w_profilerRef_16/91b1a776-2a6b-4a1f-945a-c34084bfb1b7-0_7002-8506-3604370_20221208045421755.parquet.marker.MERGE ip-100-67-243-210.8043.aws-int.thomsonreuters.com:38839 failed to respond at org.apache.hudi.table.marker.TimelineServerBasedWriteMarkers.create(TimelineServerBasedWriteMarkers.java:149) 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:187) at org.apache.hudi.io.HoodieMergeHandle.(HoodieMergeHandle.java:139) at org.apache.hudi.table.HoodieSparkCopyOnWriteTable.getUpdateHandle(HoodieSparkCopyOnWriteTable.java:257) at org.apache.hudi.table.HoodieSparkCopyOnWriteTable.handleUpdate(HoodieSparkCopyOnWriteTable.java:220) at org.apache.hudi.table.action.compact.HoodieCompactor.compact(HoodieCompactor.java:227) at org.apache.hudi.table.action.compact.HoodieCompactor.lambda$compact$57154431$1(HoodieCompactor.java:138) at org.apache.spark.api.java.JavaPairRDD$.$anonfun$toScalaFunction$1(JavaPairRDD.scala:1070) at scala.collection.Iterator$$anon$10.next(Iterator.scala:461) at scala.collection.Iterator$$anon$11.nextCur(Iterator.scala:486) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:492) at org.apache.spark.storage.memory.MemoryStore.putIterator(MemoryStore.scala:223) at org.apache.spark.storage.memory.MemoryStore.putIteratorAsBytes(MemoryStore.scala:352) at org.apache.spark.storage.BlockManager.$anonfun$doPutIterator$1(BlockManager.scala:1498) at org.apache.spark.storage.BlockManager.org$apache$spark$storage$BlockManager$$doPut(BlockManager.scala:1408) at org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1472) at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:1295) at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:384) at org.apache.spark.rdd.RDD.iterator(RDD.scala:335) 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:133) at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:506) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1474) 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:750) Caused by: org.apache.http.NoHttpResponseException: ip-100-67-243-210.8043.aws-int.thomsonreuters.com:38839 failed to respond at org.apache.http.impl.conn.DefaultHttpResponseParser.parseHead(DefaultHttpResponseParser.java:141) at org.apache.http.impl.conn.DefaultHttpResponseParser.parseHead(DefaultHttpResponseParser.java:56) at org.apache.http.impl.io.AbstractMessageParser.parse(AbstractMessageParser.java:259) at org.apache.http.impl.DefaultBHttpClientConnection.receiveResponseHeader(DefaultBHttpClientConnection.java:163) at org.apache.http.impl.conn.CPoolProxy.receiveResponseHeader(CPoolProxy.java:157) at org.apache.http.protocol.HttpRequestExecutor.doReceiveResponse(HttpRequestExecutor.java:273) at org.apache.http.protocol.HttpRequestExecutor.execute(HttpRequestExecutor.java:125) at org.apache.http.impl.execchain.MainClientExec.execute(MainClientExec.java:272) at org.apache.http.impl.execchain.ProtocolExec.execute(ProtocolExec.java:186) at org.apache.http.impl.execchain.RetryExec.execute(RetryExec.java:89) at org.apache.http.impl.execchain.RedirectExec.execute(RedirectExec.java:110) at org.apache.http.impl.client.InternalHttpClient.doExecute(InternalHttpClient.java:185) at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:83) at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:108) at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:56) at org.apache.http.client.fluent.Request.execute(Request.java:143) at org.apache.hudi.table.marker.TimelineServerBasedWriteMarkers.executeRequestToTimelineServer(TimelineServerBasedWriteMarkers.java:177) at org.apache.hudi.table.marker.TimelineServerBasedWriteMarkers.create(TimelineServerBasedWriteMarkers.java:145) ... 31 more

xushiyan commented 1 year ago

Caused by: org.apache.http.NoHttpResponseException: ip-100-67-243-210.8043.aws-int.thomsonreuters.com:38839 failed to respond

@koochiswathiTR this usually means timeline server was at capacity to respond. is this issue repeatable? or just 1 time occurrence

koochiswathiTR commented 1 year ago

@xushiyan xushiyan This issue is repeating. We see this issue more often.

yihua commented 1 year ago

@koochiswathiTR this is likely caused by a concurrency bug handling marker creation requests at the timeline server, which is fixed by #6383, since 0.12.1 release. Are you able to try the new release?

If the job remains on 0.11.1 release, you may set hoodie.write.markers.type=DIRECT to get unblocked.

nsivabalan commented 1 year ago

@koochiswathiTR : any updates on this end. If the issue got resolved, can you please close it.

privatejava commented 1 year ago

Seems like this issue is still showing in 0.13.0. Any updates on it ?

amareshb commented 1 year ago

I have a similar issue while trying to run a compaction job. Are you all seeing this while compaction too?

danny0405 commented 1 year ago

There is a fix for the the marker file creation: https://github.com/apache/hudi/pull/9003

GergelyKalmar commented 10 months ago

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?

menna224 commented 7 months ago

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?

GergelyKalmar commented 7 months ago

We eventually abandoned Hudi on AWS/S3 entirely, and we are streaming the changes into a Redshift serverless cluster instead. It might be possible to tweak some configuration options to avoid the throttling or make Spark handle it more gracefully, but we could not make Hudi work reliably with our data sets in the end, despite having help from AWS support engineers.

soumilshah1995 commented 7 months ago

the version specified is quite old and we recommend to upgrade Hudi version 0.14.0 + please use jar files and let us know if you have issue

apache / hudi

Failed to create Marker file #7909