Query failure for 0.14.0

{code:java}
Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: ShuffleMapStage 1054 (run at AccessController.java:0) has failed the maximum allowable number of times: 4. Most recent failure reason:org.apache.spark.shuffle.MetadataFetchFailedException: Missing an output location for shuffle 259 partition 31 at org.apache.spark.MapOutputTracker$.validateStatus(MapOutputTracker.scala:1705) at org.apache.spark.MapOutputTracker$.$anonfun$convertMapStatuses$10(MapOutputTracker.scala:1652) at org.apache.spark.MapOutputTracker$.$anonfun$convertMapStatuses$10$adapted(MapOutputTracker.scala:1651) at scala.collection.Iterator.foreach(Iterator.scala:943) at scala.collection.Iterator.foreach$(Iterator.scala:943) at scala.collection.AbstractIterator.foreach(Iterator.scala:1431) at org.apache.spark.MapOutputTracker$.convertMapStatuses(MapOutputTracker.scala:1651) at org.apache.spark.MapOutputTrackerWorker.getMapSizesByExecutorIdImpl(MapOutputTracker.scala:1294) at org.apache.spark.MapOutputTrackerWorker.getMapSizesByExecutorId(MapOutputTracker.scala:1256) at org.apache.spark.shuffle.sort.SortShuffleManager.getReader(SortShuffleManager.scala:140) at org.apache.spark.shuffle.ShuffleManager.getReader(ShuffleManager.scala:63) at org.apache.spark.shuffle.ShuffleManager.getReader$(ShuffleManager.scala:57) at org.apache.spark.shuffle.sort.SortShuffleManager.getReader(SortShuffleManager.scala:73) at org.apache.spark.sql.execution.ShuffledRowRDD.compute(ShuffledRowRDD.scala:208) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365) at org.apache.spark.rdd.RDD.iterator(RDD.scala:329) at org.apache.spark.rdd.ZippedPartitionsRDD2.compute(ZippedPartitionsRDD.scala:89) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365) at org.apache.spark.rdd.RDD.iterator(RDD.scala:329) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365) at org.apache.spark.rdd.RDD.iterator(RDD.scala:329) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365) at org.apache.spark.rdd.RDD.iterator(RDD.scala:329) at org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52) at org.apache.spark.scheduler.Task.run(Task.scala:138) at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1516) 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)
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.handleTaskCompletion(DAGScheduler.scala:1995) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:3048) 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.sql.execution.adaptive.AdaptiveExecutor.checkNoFailures(AdaptiveExecutor.scala:154) at org.apache.spark.sql.execution.adaptive.AdaptiveExecutor.doRun(AdaptiveExecutor.scala:88) at org.apache.spark.sql.execution.adaptive.AdaptiveExecutor.tryRunningAndGetFuture(AdaptiveExecutor.scala:66) at org.apache.spark.sql.execution.adaptive.AdaptiveExecutor.execute(AdaptiveExecutor.scala:57) at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.$anonfun$getFinalPhysicalPlan$1(AdaptiveSparkPlanExec.scala:249) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779) at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.getFinalPhysicalPlan(AdaptiveSparkPlanExec.scala:248) at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.withFinalPlanUpdate(AdaptiveSparkPlanExec.scala:521) at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.executeCollect(AdaptiveSparkPlanExec.scala:483) at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3932) at org.apache.spark.sql.Dataset.$anonfun$collect$1(Dataset.scala:3161) at org.apache.spark.sql.Dataset.$anonfun$withAction$2(Dataset.scala:3922) at org.apache.spark.sql.execution.QueryExecution$.withInternalError(QueryExecution.scala:554) at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3920) 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.Dataset.withAction(Dataset.scala:3920) at org.apache.spark.sql.Dataset.collect(Dataset.scala:3161) at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:300) ... 16 more
at org.apache.hive.jdbc.HiveStatement.waitForOperationToComplete(HiveStatement.java:401) ~[hive-jdbc-3.1.3.jar:3.1.3] at org.apache.hive.jdbc.HiveStatement.execute(HiveStatement.java:266) ~[hive-jdbc-3.1.3.jar:3.1.3] at com.microsoft.lst_bench.common.LSTBenchmarkExecutor$Worker.executeTask(LSTBenchmarkExecutor.java:274) ~[lst-bench-0.1-SNAPSHOT.jar:?] at com.microsoft.lst_bench.common.LSTBenchmarkExecutor$Worker.call(LSTBenchmarkExecutor.java:248) ~[lst-bench-0.1-SNAPSHOT.jar:?] at com.microsoft.lst_bench.common.LSTBenchmarkExecutor$Worker.call(LSTBenchmarkExecutor.java:222) ~[lst-bench-0.1-SNAPSHOT.jar:?] at java.util.concurrent.FutureTask.run(FutureTask.java:264) ~[?:?] at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128) ~[?:?] at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628) ~[?:?] at java.lang.Thread.run(Thread.java:829) ~[?:?] {code}

## JIRA info

- Link: https://issues.apache.org/jira/browse/HUDI-6988
- Type: Sub-task

Start with JIRA HUDI-6988 and the Spark 0.14.0 stack trace, especially MapOutputTracker.scala and AdaptiveExecutor. Reproduce the query failure in the reported environment, then document a confirmed cause and regression test or maintainer-approved fix; the issue does not name a Hudi file or test.

Written by the indexing model from the issue text.