zhangyue19921010 opened a new pull request #4301: URL: https://github.com/apache/hudi/pull/4301
## What is the purpose of the pull request WriteMarkers.quietDeleteMarkerDir(xx) is designed to delete marker dir/files quietly. If exception threw, just threw and wouldn't exit hudi application. Also when instant archived, Hoodie will take care of any left undeleted markers. For now just catch and ignore hoodieIOException may be not good enough. From our production environment, may throw exceptions mentioned below and the whole hudi application crashed. ``` org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 49342.0 failed 4 times, most recent failure: Lost task 0.3 in stage 49342.0 (TID 1014604, ip-xxxx, executor 1): com.amazonaws.services.s3.model.MultiObjectDeleteException: Status Code: 0, AWS Service: null, AWS Request ID: null, AWS Error Code: null, AWS Error Message: One or more objects could not be deleted, S3 Extended Request ID: null at com.amazonaws.services.s3.AmazonS3Client.deleteObjects(AmazonS3Client.java:1745) at org.apache.hadoop.fs.s3a.S3AFileSystem.delete(S3AFileSystem.java:687) at org.apache.hudi.table.MarkerFiles.lambda$deleteMarkerDir$807cb990$1(MarkerFiles.java:101) at org.apache.spark.api.java.JavaRDDLike$$anonfun$foreach$1.apply(JavaRDDLike.scala:351) at org.apache.spark.api.java.JavaRDDLike$$anonfun$foreach$1.apply(JavaRDDLike.scala:351) at scala.collection.Iterator$class.foreach(Iterator.scala:891) at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28) at org.apache.spark.rdd.RDD$$anonfun$foreach$1$$anonfun$apply$27.apply(RDD.scala:927) at org.apache.spark.rdd.RDD$$anonfun$foreach$1$$anonfun$apply$27.apply(RDD.scala:927) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at org.apache.spark.scheduler.Task.run(Task.scala:123) at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1889) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1877) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1876) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1876) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:926) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:926) at scala.Option.foreach(Option.scala:257) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:926) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2110) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2059) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2048) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:737) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2061) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2082) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2101) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2126) at org.apache.spark.rdd.RDD$$anonfun$foreach$1.apply(RDD.scala:927) at org.apache.spark.rdd.RDD$$anonfun$foreach$1.apply(RDD.scala:925) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) at org.apache.spark.rdd.RDD.withScope(RDD.scala:363) at org.apache.spark.rdd.RDD.foreach(RDD.scala:925) at org.apache.spark.api.java.JavaRDDLike$class.foreach(JavaRDDLike.scala:351) at org.apache.spark.api.java.AbstractJavaRDDLike.foreach(JavaRDDLike.scala:45) at org.apache.hudi.client.common.HoodieSparkEngineContext.foreach(HoodieSparkEngineContext.java:88) at org.apache.hudi.table.MarkerFiles.deleteMarkerDir(MarkerFiles.java:98) at org.apache.hudi.table.MarkerFiles.quietDeleteMarkerDir(MarkerFiles.java:75) at org.apache.hudi.client.AbstractHoodieWriteClient.postCommit(AbstractHoodieWriteClient.java:427) at org.apache.hudi.client.AbstractHoodieWriteClient.commitStats(AbstractHoodieWriteClient.java:186) at org.apache.hudi.client.SparkRDDWriteClient.commit(SparkRDDWriteClient.java:122) at org.apache.hudi.HoodieSparkSqlWriter$.commitAndPerformPostOperations(HoodieSparkSqlWriter.scala:476) at org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:222) at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:145) at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:45) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68) at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:86) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127) at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152) at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127) at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:80) at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:80) at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:676) at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:676) at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:78) at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73) at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:676) at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:285) at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:271) at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:229) at tv.freewheel.reporting.ssql.sinkers.HudiSinker.sink(HudiSinker.scala:23) at tv.freewheel.reporting.realtime.core.schedulers.RuleScheduler$$anonfun$execSink$1$$anonfun$apply$1.apply$mcV$sp(RuleScheduler.scala:73) at tv.freewheel.reporting.realtime.utils.Misc$.failFast(Misc.scala:72) at tv.freewheel.reporting.realtime.core.schedulers.RuleScheduler$$anonfun$execSink$1.apply(RuleScheduler.scala:73) at tv.freewheel.reporting.realtime.core.schedulers.RuleScheduler$$anonfun$execSink$1.apply(RuleScheduler.scala:71) at scala.Option.foreach(Option.scala:257) at tv.freewheel.reporting.realtime.core.schedulers.RuleScheduler.execSink(RuleScheduler.scala:71) at tv.freewheel.reporting.realtime.core.schedulers.RuleScheduler$$anonfun$submitRecursively$3$$anonfun$1.apply$mcV$sp(RuleScheduler.scala:35) at tv.freewheel.reporting.realtime.utils.Misc$$anon$2.run(Misc.scala:31) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) ``` So just catch `Exception` here instead of `HoodieIOException` to achieve absolute silence in quietDeleteMarkerDir function. ## Brief change log *(for example:)* - *Modify AnnotationLocation checkstyle rule in checkstyle.xml* ## Verify this pull request *(Please pick either of the following options)* This pull request is a trivial rework / code cleanup without any test coverage. *(or)* This pull request is already covered by existing tests, such as *(please describe tests)*. (or) This change added tests and can be verified as follows: *(example:)* - *Added integration tests for end-to-end.* - *Added HoodieClientWriteTest to verify the change.* - *Manually verified the change by running a job locally.* ## Committer checklist - [ ] Has a corresponding JIRA in PR title & commit - [ ] Commit message is descriptive of the change - [ ] CI is green - [ ] Necessary doc changes done or have another open PR - [ ] For large changes, please consider breaking it into sub-tasks under an umbrella JIRA. -- 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: commits-unsubscr...@hudi.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org