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

一时失言乱红尘 2022-12-10 10:09 123阅读 0赞

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

**难点**  
报错代码

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)
    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)
            at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1499)
            at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1487)
            at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1486)
            at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
            at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
            at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1486)
            at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814)
            at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814)
            at scala.Option.foreach(Option.scala:257)
            at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:814)
            at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1714)
            at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1669)
            at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1658)
            at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
            at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:630)
            at org.apache.spark.SparkContext.runJob(SparkContext.scala:2024)
            at org.apache.spark.SparkContext.runJob(SparkContext.scala:2045)
            at org.apache.spark.SparkContext.runJob(SparkContext.scala:2064)
            at org.apache.spark.SparkContext.runJob(SparkContext.scala:2089)
            at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:936)
            at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
            at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
            at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
            at org.apache.spark.rdd.RDD.collect(RDD.scala:935)
            at org.apache.spark.rdd.PairRDDFunctions$$anonfun$collectAsMap$1.apply(PairRDDFunctions.scala:746)
            at org.apache.spark.rdd.PairRDDFunctions$$anonfun$collectAsMap$1.apply(PairRDDFunctions.scala:745)
            at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
            at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
            at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
            at org.apache.spark.rdd.PairRDDFunctions.collectAsMap(PairRDDFunctions.scala:745)
            at com.ccscc.tasks.run_FRT_JT_OL_CELL_D$.main(run_FRT_JT_OL_CELL_D.scala:346)
            at com.ccscc.tasks.run_FRT_JT_OL_CELL_D.main(run_FRT_JT_OL_CELL_D.scala)
            at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
            at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
            at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
            at java.lang.reflect.Method.invoke(Method.java:498)
            at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:755)
            at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
            at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
            at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:119)
            at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
    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。