Spark 总结项目一---报错:bigger than spark.driver.maxResultSize

一时失言乱红尘 2022-12-10 10:09 246阅读 0赞

七、spark集群报错:bigger than spark.driver.maxResultSize

难点
报错代码

  1. 20/09/15 15:21:32 ERROR scheduler.TaskSetManager: Total size of serialized results of 423 tasks (4.0 GB) is bigger than spark.driver.maxResultSize (4.0 GB)
  2. Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Total size of serialized results of 423 tasks (4.0 GB) is bigger than spark.driver.maxResultSize (4.0 GB)
  3. at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1499)
  4. at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1487)
  5. at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1486)
  6. at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
  7. at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
  8. at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1486)
  9. at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814)
  10. at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814)
  11. at scala.Option.foreach(Option.scala:257)
  12. at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:814)
  13. at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1714)
  14. at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1669)
  15. at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1658)
  16. at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
  17. at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:630)
  18. at org.apache.spark.SparkContext.runJob(SparkContext.scala:2024)
  19. at org.apache.spark.SparkContext.runJob(SparkContext.scala:2045)
  20. at org.apache.spark.SparkContext.runJob(SparkContext.scala:2064)
  21. at org.apache.spark.SparkContext.runJob(SparkContext.scala:2089)
  22. at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:936)
  23. at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
  24. at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
  25. at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
  26. at org.apache.spark.rdd.RDD.collect(RDD.scala:935)
  27. at org.apache.spark.rdd.PairRDDFunctions$$anonfun$collectAsMap$1.apply(PairRDDFunctions.scala:746)
  28. at org.apache.spark.rdd.PairRDDFunctions$$anonfun$collectAsMap$1.apply(PairRDDFunctions.scala:745)
  29. at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
  30. at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
  31. at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
  32. at org.apache.spark.rdd.PairRDDFunctions.collectAsMap(PairRDDFunctions.scala:745)
  33. at com.ccscc.tasks.run_FRT_JT_OL_CELL_D$.main(run_FRT_JT_OL_CELL_D.scala:346)
  34. at com.ccscc.tasks.run_FRT_JT_OL_CELL_D.main(run_FRT_JT_OL_CELL_D.scala)
  35. at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
  36. at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
  37. at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
  38. at java.lang.reflect.Method.invoke(Method.java:498)
  39. at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:755)
  40. at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
  41. at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
  42. at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:119)
  43. at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
  44. 20/09/15 15:21:32 WARN scheduler.TaskSetManager: Lost task 492.0 in stage 25.0 (TID 16828, A5-302-I620G20-2018-006, executor 36): TaskKilled (stage cancelled)

解决方案:
​ 问题很好解决,总而言之,就是调大spark.driver.maxResultSize的相关参数,设置的大一些就ok了。

​ 但是我遇到一些问题,首先我选择的是在spark任务提交的时候,设置这个spark.driver.maxResultSize=6g或者spark.driver.maxResultSize=6G,但是依旧报这个错误,于是我查看spark任务UI发现这个参数并没有成功设置;

最后是在代码中conf(“spark.driver.maxResultSize”,“6g”)设置成功的,了解的伙伴可以讲一下为什么在任务提交时设置不成功。

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