Lin Liu created HUDI-6988:
-----------------------------
Summary: Query failure for 0.14.0
Key: HUDI-6988
URL: https://issues.apache.org/jira/browse/HUDI-6988
Project: Apache Hudi
Issue Type: Sub-task
Reporter: Lin Liu
{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}
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