У меня есть три этапа в моем коде.В первом я читаю данные и уменьшаю их, во втором я делаю вычисления, а в третьем я cartesian transformation делаю результат второго этапа.
Чтобы улучшить производительность, я изменил реализациюна втором этапе, чтобы избавиться от некоторых joins между rdds.Вместо этого я читаю файл в драйвер и broadcast его в workers, делаю вычисления и перехожу к третьему этапу.
Когда у меня около 60.000 значений / пакет, все кажется нормальным,Но когда я масштабирую его до 100.000 / партия, я получаю исключение org.apache.spark.shuffle.MetadataFetchFailedException: Missing an output location for shuffle на третьей стадии.
Почему это происходит?Это проблема памяти, вызванная broadcast?
Ошибка:
18/10/06 18:36:35 ERROR YarnScheduler: Lost executor 3 on clu26.softnet.tuc.gr: Container marked as failed: container_e30_1532029170450_0254_01_000004 on host: clu26.softnet.tuc.gr. Exit status: 143. Diagnostics: Container killed on request. Exit code is 143
Container exited with a non-zero exit code 143.
Killed by external signal
18/10/06 18:36:35 WARN TaskSetManager: Lost task 0.0 in stage 23.1 (TID 15, clu26.softnet.tuc.gr, executor 3): ExecutorLostFailure (executor 3 exited caused by one of the running tasks) Reason: Container marked as failed: container_e30_1532029170450_0254_01_000004 on host: clu26.softnet.tuc.gr. Exit status: 143. Diagnostics: Container killed on request. Exit code is 143
Container exited with a non-zero exit code 143.
Killed by external signal
18/10/06 18:36:35 WARN YarnSchedulerBackend$YarnSchedulerEndpoint: Container marked as failed: container_e30_1532029170450_0254_01_000004 on host: clu26.softnet.tuc.gr. Exit status: 143. Diagnostics: Container killed on request. Exit code is 143
Container exited with a non-zero exit code 143.
Killed by external signal
18/10/06 18:36:35 WARN TaskSetManager: Lost task 0.1 in stage 23.1 (TID 16, clu03.softnet.tuc.gr, executor 2): FetchFailed(null, shuffleId=0, mapId=-1, reduceId=0, message=
org.apache.spark.shuffle.MetadataFetchFailedException: Missing an output location for shuffle 0
at org.apache.spark.MapOutputTracker$$anonfun$org$apache$spark$MapOutputTracker$$convertMapStatuses$2.apply(MapOutputTracker.scala:697)
at org.apache.spark.MapOutputTracker$$anonfun$org$apache$spark$MapOutputTracker$$convertMapStatuses$2.apply(MapOutputTracker.scala:693)
at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:733)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:732)
at org.apache.spark.MapOutputTracker$.org$apache$spark$MapOutputTracker$$convertMapStatuses(MapOutputTracker.scala:693)
at org.apache.spark.MapOutputTracker.getMapSizesByExecutorId(MapOutputTracker.scala:147)
at org.apache.spark.shuffle.BlockStoreShuffleReader.read(BlockStoreShuffleReader.scala:49)
at org.apache.spark.rdd.ShuffledRDD.compute(ShuffledRDD.scala:105)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.rdd.CartesianRDD.compute(CartesianRDD.scala:75)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
at org.apache.spark.scheduler.Task.run(Task.scala:108)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
)
И моя неудачная работа в пользовательском интерфейсе выглядит следующим образом:
