wqwl611 opened a new issue, #7216: URL: https://github.com/apache/hudi/issues/7216
**_Tips before filing an issue_** - Have you gone through our [FAQs](https://hudi.apache.org/learn/faq/)? - Join the mailing list to engage in conversations and get faster support at [email protected]. - If you have triaged this as a bug, then file an [issue](https://issues.apache.org/jira/projects/HUDI/issues) directly. **Describe the problem you faced** I occasionally encounter this error, suspecting that there is a loophole in getting the bucketId at org.apache.hudi.table.action.commit.BaseWriteHelper.write(BaseWriteHelper.java:64)org.apache.hudi.table.action.deltacommit.SparkUpsertDeltaCommitActionExecutor.execute(SparkUpsertDeltaCommitActionExecutor.java:46) at org.apache.hudi.table.HoodieSparkMergeOnReadTable.upsert(HoodieSparkMergeOnReadTable.java:89) at org.apache.hudi.table.HoodieSparkMergeOnReadTable.upsert(HoodieSparkMergeOnReadTable.java:76) at org.apache.hudi.client.SparkRDDWriteClient.upsert(SparkRDDWriteClient.java:155) at org.apache.hudi.DataSourceUtils.doWriteOperation(DataSourceUtils.java:213) at org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:306) at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:171) at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:45) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$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$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:119) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103) at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64) at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:119) at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:115) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:481) at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:82) at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:481) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$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:457) at org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:115) at org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:93) at org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:91) at org.apache.spark.sql.execution.QueryExecution.assertCommandExecuted(QueryExecution.scala:137) at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:848) at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:382) at org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:355) at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:239) at com.ctrip.muise.spark.scala.cdc.BinlogToHudiTaskExecutor$.saveByIdMod(BinlogToHudiTaskExecutor.scala:494) at com.ctrip.muise.spark.scala.cdc.BinlogToHudiTaskExecutor$.saveCDC(BinlogToHudiTaskExecutor.scala:355) at com.ctrip.muise.spark.scala.cdc.BinlogToHudiTaskExecutor$.saveToHudi(BinlogToHudiTaskExecutor.scala:59) at com.ctrip.muise.spark.scala.cdc.model.CdcTask.innerRun(CdcTask.scala:217) at com.ctrip.muise.spark.scala.cdc.model.CdcTask.run(CdcTask.scala:50) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 9 in stage 10640.0 failed 4 times, most recent failure: Lost task 9.3 in stage 10640.0 (TID 498184) (svr34044hw2288.hadoop.sh5.ctripcorp.com executor 1): java.lang.RuntimeException: org.apache.hudi.exception.HoodieIOException: Find multiple files at partition path=_db=cffinesigndb/_tbl=electronic_contract_162/_id_mod=0 belongs to the same bucket id = 0 at org.apache.hudi.client.utils.LazyIterableIterator.next(LazyIterableIterator.java:121) at scala.collection.convert.Wrappers$JIteratorWrapper.next(Wrappers.scala:46) at scala.collection.Iterator$$anon$10.next(Iterator.scala:461) at scala.collection.Iterator$$anon$10.next(Iterator.scala:461) at org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:199) at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:63) at org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52) at org.apache.spark.scheduler.Task.run(Task.scala:137) at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:506) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1510) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:509) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) Caused by: org.apache.hudi.exception.HoodieIOException: Find multiple files at partition path=_db=cffinesigndb/_tbl=electronic_contract_162/_id_mod=0 belongs to the same bucket id = 0 at org.apache.hudi.index.bucket.HoodieBucketIndex.lambda$loadPartitionBucketIdFileIdMapping$0(HoodieBucketIndex.java:122) at java.util.ArrayList.forEach(ArrayList.java:1249) at org.apache.hudi.index.bucket.HoodieBucketIndex.loadPartitionBucketIdFileIdMapping(HoodieBucketIndex.java:114) at org.apache.hudi.index.bucket.HoodieBucketIndex.access$200(HoodieBucketIndex.java:46) at org.apache.hudi.index.bucket.HoodieBucketIndex$1.computeNext(HoodieBucketIndex.java:87) at org.apache.hudi.index.bucket.HoodieBucketIndex$1.computeNext(HoodieBucketIndex.java:74) at org.apache.hudi.client.utils.LazyIterableIterator.next(LazyIterableIterator.java:119) ... 15 more Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2459) at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2408) at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2407) 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:2407) <img width="1162" alt="image" src="https://user-images.githubusercontent.com/67826098/202093224-ecb65ed6-b834-4c14-a2e6-ee2ad7b16a01.png";> A clear and concise description of the problem. **To Reproduce** hard to reproduce **Expected behavior** A clear and concise description of what you expected to happen. **Environment Description** * Hudi version : 0.11.1 * Spark version :3.2.0 * Hive version : * Hadoop version : * Storage (HDFS/S3/GCS..) : * Running on Docker? (yes/no) : **Additional context** Add any other context about the problem here. **Stacktrace** ```Add the stacktrace of the error.``` -- 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]
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