Failed to rollback s3://s3_bucket/xml commits 20221231041647333

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We are facing an exception in our EMR Spark Streaming application.
We consumes messages from kinesis stream, process the data and will store in hudi tables.

Failed to rollback s3://a206760-novusnorm-s3-qa-use1/novusnorm_xml commits 20221231041647333,
at org.apache.hudi.client.BaseHoodieWriteClient.rollback(BaseHoodieWriteClient.java:783),
at org.apache.hudi.client.BaseHoodieWriteClient.rollbackFailedWrites(BaseHoodieWriteClient.java:1193),
at org.apache.hudi.client.BaseHoodieWriteClient.rollbackFailedWrites(BaseHoodieWriteClient.java:1176),
at org.apache.hudi.client.BaseHoodieWriteClient.rollbackFailedWrites(BaseHoodieWriteClient.java:1164),
at org.apache.hudi.client.BaseHoodieWriteClient.lambda$startCommitWithTime$97cdbdca$1(BaseHoodieWriteClient.java:964),
at org.apache.hudi.common.util.CleanerUtils.rollbackFailedWrites(CleanerUtils.java:151),
at org.apache.hudi.client.BaseHoodieWriteClient.startCommitWithTime(BaseHoodieWriteClient.java:963),
at org.apache.hudi.client.BaseHoodieWriteClient.startCommitWithTime(BaseHoodieWriteClient.java:956),
at org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:303),
at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:165),
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$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:115),
at org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:107),
at org.apache.spark.sql.execution.SQLExecution$.withTracker(SQLExecution.scala:232),
at org.apache.spark.sql.execution.SQLExecution$.executeQuery$1(SQLExecution.scala:110),
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:135),
at org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:107),
at org.apache.spark.sql.execution.SQLExecution$.withTracker(SQLExecution.scala:232),
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:135),
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:253),
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:134),
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775),
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:68),
at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:112),
at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:108),
at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:519),
at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:83),
at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:519),
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$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:495),
at org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:108),
at org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:95),
at org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:93),
at org.apache.spark.sql.execution.QueryExecution.assertCommandExecuted(QueryExecution.scala:136),
at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:848),
at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:382),
at org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:355),
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:239),
at com.tr.indigo.tacticalnovusingest.utils.NovusHudiOperations$.$anonfun$upsert$2(NovusHudiOperations.scala:326),
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23),
at scala.util.Try$.apply(Try.scala:213),
at com.tr.indigo.tacticalnovusingest.utils.NovusHudiOperations$.retry(NovusHudiOperations.scala:416),

[org.apache.hudi.timeline.service.TimelineService] [TimelineService]: Timeline server start failed on port 0. Attempting port 0 + 1.
java.lang.RuntimeException: java.io .IOException: Too many open files
at io.javalin.Javalin.start(Javalin.java:189 )
at io.javalin.Javalin.start(Javalin.java:151 )
...
...
at java.util.concurrent.ForkJoinPool.runWorker(ForkJoinPool.java:1692 )
at java.util.concurrent.ForkJoinWorkerThread.run (ForkJoinWorkerThread.java:175 )
Caused by: java.io .IOException: Too many open files

We tried to remove the complained commit file and the application is behaving well.
Can you please help us here why this exception had come?

**Expected behavior**

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

**Environment Description**

* 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**

Failed to rollback s3://a206760-novusnorm-s3-qa-use1/novusnorm_xml commits 20221231041647333,
at org.apache.hudi.client.BaseHoodieWriteClient.rollback(BaseHoodieWriteClient.java:783),
at org.apache.hudi.client.BaseHoodieWriteClient.rollbackFailedWrites(BaseHoodieWriteClient.java:1193),
at org.apache.hudi.client.BaseHoodieWriteClient.rollbackFailedWrites(BaseHoodieWriteClient.java:1176),
at org.apache.hudi.client.BaseHoodieWriteClient.rollbackFailedWrites(BaseHoodieWriteClient.java:1164),
at org.apache.hudi.client.BaseHoodieWriteClient.lambda$startCommitWithTime$97cdbdca$1(BaseHoodieWriteClient.java:964),
at org.apache.hudi.common.util.CleanerUtils.rollbackFailedWrites(CleanerUtils.java:151),
at org.apache.hudi.client.BaseHoodieWriteClient.startCommitWithTime(BaseHoodieWriteClient.java:963),
at org.apache.hudi.client.BaseHoodieWriteClient.startCommitWithTime(BaseHoodieWriteClient.java:956),
at org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:303),
at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:165),
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$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:115),
at org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:107),
at org.apache.spark.sql.execution.SQLExecution$.withTracker(SQLExecution.scala:232),
at org.apache.spark.sql.execution.SQLExecution$.executeQuery$1(SQLExecution.scala:110),
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:135),
at org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:107),
at org.apache.spark.sql.execution.SQLExecution$.withTracker(SQLExecution.scala:232),
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:135),
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:253),
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:134),
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775),
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:68),
at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:112),
at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:108),
at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:519),
at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:83),
at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:519),
at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$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:495),
at org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:108),
at org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:95),
at org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:93),
at org.apache.spark.sql.execution.QueryExecution.assertCommandExecuted(QueryExecution.scala:136),
at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:848),
at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:382),
at org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:355),
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:239),
at com.tr.indigo.tacticalnovusingest.utils.NovusHudiOperations$.$anonfun$upsert$2(NovusHudiOperations.scala:326),
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23),
at scala.util.Try$.apply(Try.scala:213),
at com.tr.indigo.tacticalnovusingest.utils.NovusHudiOperations$.retry(NovusHudiOperations.scala:416),

Please help us on this.

Start with the rollback entry points named in the report: BaseHoodieWriteClient.java and CleanerUtils.java, then trace the TimelineService startup failure and the “Too many open files” exception in the EMR Spark context. Reproduce or isolate the failed rollback for the S3 commit, and consider the issue complete when the cause and a validated corrective path are documented.

Written by the indexing model from the issue text.