Question

由于加入了其他一些数据帧，我创建了一个火花数据帧。

现在，调用数据帧上的任何方法都会失败。它没有给出特定的错误。只有ExecutorLostFailure，Slave丢失，容器在退出节点上释放等错误。

我无法在数据帧上成功调用show（）。以下是调用show（）

时的异常堆栈

Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Task 204 in stage 14.0 failed 4 times, most recent failure: Lost task 204.3 in stage 14.0 (TID 124823, ip-172-31-58-23.ec2.internal, executor 491): ExecutorLostFailure (executor 491 exited caused by one of the running tasks) Reason: Slave lost
Driver stacktrace:
    at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1569)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1557)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1556)
    at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
    at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
    at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1556)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:815)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:815)
    at scala.Option.foreach(Option.scala:257)
    at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:815)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1784)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1739)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1728)
    at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
    at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:631)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2022)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2043)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2062)
    at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:336)
    at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:38)
    at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collectFromPlan(Dataset.scala:2853)
    at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2153)
    at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2153)
    at org.apache.spark.sql.Dataset$$anonfun$55.apply(Dataset.scala:2837)
    at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:65)
    at org.apache.spark.sql.Dataset.withAction(Dataset.scala:2836)
    at org.apache.spark.sql.Dataset.head(Dataset.scala:2153)
    at org.apache.spark.sql.Dataset.take(Dataset.scala:2366)
    at org.apache.spark.sql.Dataset.showString(Dataset.scala:245)
    at org.apache.spark.sql.Dataset.show(Dataset.scala:644)
    at org.apache.spark.sql.Dataset.show(Dataset.scala:603)
    at org.apache.spark.sql.Dataset.show(Dataset.scala:612)
    at com.example.DataCuration$.main(DataCurationMain.scala:81)
    at com.example.DataCuration.main(DataCurationMain.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)

我的猜测是，我的内存不足。确定是否如此的最佳方法是什么？

Answer 1

原来这台机器存在一些问题。很可能低驱动程序内存限制了执行。

无法调用spark数据帧上的任何函数

1 个答案: