Job aborted due to stage failure: Total size of serialized results of 3 tasks (1074.3 MB) is bigger

 Spark任务运行报错如下：

21/10/09 15:49:31 INFO DAGScheduler: Job 0 failed: collect at TrackDataSourceWrite.scala:190, took 94.206171 s
org.apache.spark.SparkException: Job aborted due to stage failure: Total size of serialized results of 3 tasks (1074.3 MB) is bigger than spark.driver.maxResultSize (1024.0 MB)
	at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1431)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1419)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1418)
	at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
	at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
	at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1418)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
	at scala.Option.foreach(Option.scala:236)
	at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:799)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1640)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1599)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1588)
	at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
	at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:620)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:1832)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:1845)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:1858)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:1929)
	at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:927)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
	at org.apache.spark.rdd.RDD.withScope(RDD.scala:316)
	at org.apache.spark.rdd.RDD.collect(RDD.scala:926)

org.apache.spark.SparkException: Job aborted due to stage failure: Total size of serialized results of 3 tasks (1074.3 MB) is bigger than spark.driver.maxResultSize (1024.0 MB)

解决：

--conf spark.driver.maxResultSize=2g

标签：tasks,scala,MB,DAGScheduler,scheduler,apache,org,spark,size
来源： https://blog.csdn.net/qq_35995514/article/details/120676447