Apache spark Spark中的Group By出现错误java.lang.IllegalStateException:没有新记录的空间

我试图用spark SQL实现我的配置单元查询代码。 （我很确定这些在蜂箱中工作，但我不知道为什么spark会给我一个错误。）

我有一个很大的表，它是由Hive生成的：

val df=spark.sql（“从连接b中选择…按d分组”）

当我显示df或将其输出到Hive时，它工作正常

df.show（）
df.write.mode（“覆盖”）.saveAsTable（“表名”）

但是，当我这样做时：

val df2=df.groupBy（“colA”）.agg（总和（“colB”））
df2.show（）
//或
df2.write.mode（“覆盖”）.saveAsTable（“tableDF2”）

长时间运行作业后出现错误

17/06/14 06:39:50 WARN RowBasedKeyValueBatch: Calling spill() on 

RowBasedKeyValueBatch. Will not spill but return 0.
17/06/14 06:39:50 ERROR Executor: Exception in task 0.0 in stage 62.0 (TID 1982)
java.lang.IllegalStateException: There is no space for new record
    at org.apache.spark.util.collection.unsafe.sort.UnsafeInMemorySorter.insertRecord(UnsafeInMemorySorter.java:225)
    at org.apache.spark.sql.execution.UnsafeKVExternalSorter.<init>(UnsafeKVExternalSorter.java:130)
    at org.apache.spark.sql.execution.UnsafeFixedWidthAggregationMap.destructAndCreateExternalSorter(UnsafeFixedWidthAggregationMap.java:244)
    at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithKeys$(Unknown Source)
    at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
    at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
    at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:377)
    at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
    at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:126)
    at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
    at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
    at org.apache.spark.scheduler.Task.run(Task.scala:99)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
    at java.lang.Thread.run(Thread.java:745)
17/06/14 06:39:50 WARN TaskSetManager: Lost task 0.0 in stage 62.0 (TID 1982, localhost, executor driver): java.lang.IllegalStateException: There is no space for new record
    at org.apache.spark.util.collection.unsafe.sort.UnsafeInMemorySorter.insertRecord(UnsafeInMemorySorter.java:225)
    at org.apache.spark.sql.execution.UnsafeKVExternalSorter.<init>(UnsafeKVExternalSorter.java:130)
    at org.apache.spark.sql.execution.UnsafeFixedWidthAggregationMap.destructAndCreateExternalSorter(UnsafeFixedWidthAggregationMap.java:244)
    at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithKeys$(Unknown Source)
    at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
    at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
    at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:377)
    at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
    at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:126)
    at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
    at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
    at org.apache.spark.scheduler.Task.run(Task.scala:99)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
    at java.lang.Thread.run(Thread.java:745)

17/06/14 06:39:50 ERROR TaskSetManager: Task 0 in stage 62.0 failed 1 times; aborting job
17/06/14 06:39:50 WARN BlockManager: Putting block rdd_300_15 failed due to an exception
17/06/14 06:39:50 WARN BlockManager: Block rdd_300_15 could not be removed as it was not found on disk or in memory
17/06/14 06:39:50 WARN TaskSetManager: Lost task 15.0 in stage 62.0 (TID 1997, localhost, executor driver): TaskKilled (killed intentionally)
17/06/14 06:39:50 WARN TaskSetManager: Lost task 12.0 in stage 62.0 (TID 1994, localhost, executor driver): TaskKilled (killed intentionally)
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 62.0 failed 1 times, most recent failure: Lost task 0.0 in stage 62.0 (TID 1982, localhost, executor driver): java.lang.IllegalStateException: There is no space for new record
    at org.apache.spark.util.collection.unsafe.sort.UnsafeInMemorySorter.insertRecord(UnsafeInMemorySorter.java:225)
    at org.apache.spark.sql.execution.UnsafeKVExternalSorter.<init>(UnsafeKVExternalSorter.java:130)
    at org.apache.spark.sql.execution.UnsafeFixedWidthAggregationMap.destructAndCreateExternalSorter(UnsafeFixedWidthAggregationMap.java:244)
    at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithKeys$(Unknown Source)
    at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
    at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
    at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:377)
    at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
    at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:126)
    at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
    at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
    at org.apache.spark.scheduler.Task.run(Task.scala:99)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
    at java.lang.Thread.run(Thread.java:745)

Driver stacktrace:
  at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1435)
  at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1423)
  at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1422)
  at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
  at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
  at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1422)
  at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
  at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
  at scala.Option.foreach(Option.scala:257)
  at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:802)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1650)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1605)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1594)
  at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
  at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:628)
  at org.apache.spark.SparkContext.runJob(SparkContext.scala:1920)
  at org.apache.spark.SparkContext.runJob(SparkContext.scala:1933)
  at org.apache.spark.SparkContext.runJob(SparkContext.scala:1946)
  at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:333)
  at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:38)
  at org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$execute$1$1.apply(Dataset.scala:2371)
  at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:57)
  at org.apache.spark.sql.Dataset.withNewExecutionId(Dataset.scala:2765)
  at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$execute$1(Dataset.scala:2370)
  at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collect(Dataset.scala:2377)
  at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2113)
  at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2112)
  at org.apache.spark.sql.Dataset.withTypedCallback(Dataset.scala:2795)
  at org.apache.spark.sql.Dataset.head(Dataset.scala:2112)
  at org.apache.spark.sql.Dataset.take(Dataset.scala:2327)
  at org.apache.spark.sql.Dataset.showString(Dataset.scala:248)
  at org.apache.spark.sql.Dataset.show(Dataset.scala:636)
  at org.apache.spark.sql.Dataset.show(Dataset.scala:595)
  at org.apache.spark.sql.Dataset.show(Dataset.scala:604)
  ... 48 elided
Caused by: java.lang.IllegalStateException: There is no space for new record
  at org.apache.spark.util.collection.unsafe.sort.UnsafeInMemorySorter.insertRecord(UnsafeInMemorySorter.java:225)
  at org.apache.spark.sql.execution.UnsafeKVExternalSorter.<init>(UnsafeKVExternalSorter.java:130)
  at org.apache.spark.sql.execution.UnsafeFixedWidthAggregationMap.destructAndCreateExternalSorter(UnsafeFixedWidthAggregationMap.java:244)
  at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithKeys$(Unknown Source)
  at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
  at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
  at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:377)
  at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
  at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:126)
  at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
  at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
  at org.apache.spark.scheduler.Task.run(Task.scala:99)
  at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
  at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
  at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
  at java.lang.Thread.run(Thread.java:745)

17/06/14 06:39:50警告RowBasedKeyValueBatch:正在调用溢出（）
RowBasedKeyValueBatch。不会溢出，但返回0。
17/06/14 06:39:50错误执行者：62.0阶段任务0.0中的异常（TID 1982）
java.lang.IllegalStateException:没有新记录的空间
位于org.apache.spark.util.collection.unsafe.sort.UnsafeInMemorySorter.insertRecord（UnsafeInMemorySorter.java:225）
位于org.apache.spark.sql.execution.UnsafeKVExternalSorter.（UnsafeKVExternalSorter.java:130）
位于org.apache.spark.sql.execution.UnsafeFixedWidthAggregationMap.destructAndCreateExternalSorter（UnsafeFixedWidthAggregationMap.java:244）
位于org.apache.spark.sql.catalyst.expressions.GenerateClass$GenerateEditor.agg_doAggregateWithKeys$（未知源）
位于org.apache.spark.sql.catalyst.expressions.GeneratedClass$GenerateEditor.processNext（未知源）
位于org.apache.spark.sql.execution.BufferedRowIterator.hasNext（BufferedRowIterator.java:43）
位于org.apache.spark.sql.execution.whisttagecodegenexec$$anonfun$8$$anon$1.hasNext（whisttagecodegenexec.scala:377）
位于scala.collection.Iterator$$anon$11.hasNext（Iterator.scala:408）
位于org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write（BypassMergeSortShuffleWriter.java:126）
在org.apache.spark.scheduler.ShuffleMapTask.runTask（ShuffleMapTask.scala:96）上
在org.apache.spark.scheduler.ShuffleMapTask.runTask（ShuffleMapTask.scala:53）上
位于org.apache.spark.scheduler.Task.run（Task.scala:99）
位于org.apache.spark.executor.executor$TaskRunner.run（executor.scala:282）
位于java.util.concurrent.ThreadPoolExecutor.runWorker（ThreadPoolExecutor.java:1145）
位于java.util.concurrent.ThreadPoolExecutor$Worker.run（ThreadPoolExecutor.java:615）
运行（Thread.java:745）
17/06/14 06:39:50警告TaskSetManager:在阶段62.0中丢失了任务0.0（TID 1982，localhost，executor driver）：java.lang.IllegalStateException:没有新记录的空间
位于org.apache.spark.util.collection.unsafe.sort.UnsafeInMemorySorter.insertRecord（UnsafeInMemorySorter.java:225）
位于org.apache.spark.sql.execution.UnsafeKVExternalSorter.（UnsafeKVExternalSorter.java:130）
位于org.apache.spark.sql.execution.UnsafeFixedWidthAggregationMap.destructAndCreateExternalSorter（UnsafeFixedWidthAggregationMap.java:244）
位于org.apache.spark.sql.catalyst.expressions.GenerateClass$GenerateEditor.agg_doAggregateWithKeys$（未知源）
位于org.apache.spark.sql.catalyst.expressions.GeneratedClass$GenerateEditor.processNext（未知源）
位于org.apache.spark.sql.execution.BufferedRowIterator.hasNext（BufferedRowIterator.java:43）
位于org.apache.spark.sql.execution.whisttagecodegenexec$$anonfun$8$$anon$1.hasNext（whisttagecodegenexec.scala:377）
位于scala.collection.Iterator$$anon$11.hasNext（Iterator.scala:408）
位于org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write（BypassMergeSortShuffleWriter.java:126）
在org.apache.spark.scheduler.ShuffleMapTask.runTask（ShuffleMapTask.scala:96）上
在org.apache.spark.scheduler.ShuffleMapTask.runTask（ShuffleMapTask.scala:53）上
位于org.apache.spark.scheduler.Task.run（Task.scala:99）
位于org.apache.spark.executor.executor$TaskRunner.run（executor.scala:282）
位于java.util.concurrent.ThreadPoolExecutor.runWorker（ThreadPoolExecutor.java:1145）
位于java.util.concurrent.ThreadPoolExecutor$Worker.run（ThreadPoolExecutor.java:615）
运行（Thread.java:745）
17/06/14 06:39:50错误TaskSetManager:阶段62.0中的任务0失败1次；中止工作
17/06/14 06:39:50警告块管理器：由于异常，放置块rdd_300_15失败
17/06/14 06:39:50警告块管理器：无法删除块rdd_300_15，因为在磁盘或内存中找不到它
17/06/14 06:39:50警告TaskSetManager:在62.0阶段中丢失task 15.0（TID 1997，本地主机，执行器驱动程序）：TaskKilled（故意终止）
17/06/14 06:39:50警告TaskSetManager:在62.0阶段丢失任务12.0（TID 1994，本地主机，执行器驱动程序）：TaskKilled（故意终止）
org.apache.spark.sparkeexception:作业因阶段失败而中止：阶段62.0中的任务0失败1次，最近的失败：阶段62.0中的任务0.0丢失（TID 1982，localhost，executor driver）：java.lang.IllegalStateException:没有新记录的空间
位于org.apache.spark.util.collection.unsafe.sort.UnsafeInMemorySorter.insertRecord（UnsafeInMemorySorter.java:225）
位于org.apache.spark.sql.execution.UnsafeKVExternalSorter.（UnsafeKVExternalSorter.java:130）
位于org.apache.spark.sql.execution.UnsafeFixedWidthAggregationMap.destructAndCreateExternalSorter（UnsafeFixedWidthAggregationMap.java:244）
位于org.apache.spark.sql.catalyst.expressions.GenerateClass$GenerateEditor.agg_doAggregateWithKeys$（未知源）
位于org.apache.spark.sql.catalyst.expressions.GeneratedClass$GenerateEditor.processNext（未知源）
位于org.apache.spark.sql.execution.BufferedRowIterator.hasNext（BufferedRowIterator.java:43）
位于org.apache.spark.sql.execution.whisttagecodegenexec$$anonfun$8$$anon$1.hasNext（whisttagecodegenexec.scala:377）
位于scala.collection.Iterator$$anon$11.hasNext（Iterator.scala:408）
在org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write（BypassMergeSortShuffleWriter.java: