Java 在（string，List（string））RDD元组执行take方法时取消了Spark作业

我的Spark作业生成一个Rdd元组，如（string，List（string）），当我保存所有数据时，它运行正常，但当我使用方法take（100）保存数据时，它不起作用，有时它返回100个键但没有值。有人能帮我解决这个问题吗？谢谢。 存在火花错误日志：

User class threw exception: org.apache.spark.SparkException: Job 1 cancelled as part of cancellation of all jobs
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1515)
at org.apache.spark.scheduler.DAGScheduler.handleJobCancellation(DAGScheduler.scala:1443)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$doCancelAllJobs$1.apply$mcVI$sp(DAGScheduler.scala:735)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$doCancelAllJobs$1.apply(DAGScheduler.scala:735)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$doCancelAllJobs$1.apply(DAGScheduler.scala:735)
at scala.collection.mutable.HashSet.foreach(HashSet.scala:78)
at org.apache.spark.scheduler.DAGScheduler.doCancelAllJobs(DAGScheduler.scala:735)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onError(DAGScheduler.scala:1749)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:52)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:641)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1957)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1970)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1990)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply$mcV$sp(PairRDDFunctions.scala:1154)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply(PairRDDFunctions.scala:1095)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply(PairRDDFunctions.scala:1095)
at org.apache.spark.rdd.RDDOperationScope$.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.saveAsHadoopDataset(PairRDDFunctions.scala:1095)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$4.apply$mcV$sp(PairRDDFunctions.scala:1069)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$4.apply(PairRDDFunctions.scala:1035)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$4.apply(PairRDDFunctions.scala:1035)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
at org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopFile(PairRDDFunctions.scala:1035)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$1.apply$mcV$sp(PairRDDFunctions.scala:961)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$1.apply(PairRDDFunctions.scala:961)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$1.apply(PairRDDFunctions.scala:961)
at org.apache.spark.rdd.RDDOperationScope$.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.saveAsHadoopFile(PairRDDFunctions.scala:960)
at org.apache.spark.rdd.RDD$$anonfun$saveAsTextFile$1.apply$mcV$sp(RDD.scala:1522)
at org.apache.spark.rdd.RDD$$anonfun$saveAsTextFile$1.apply(RDD.scala:1501)
at org.apache.spark.rdd.RDD$$anonfun$saveAsTextFile$1.apply(RDD.scala:1501)
at org.apache.spark.rdd.RDDOperationScope$.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.saveAsTextFile(RDD.scala:1501)

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Hi-Cisol，请共享生成此错误的代码。itemRdd.map{item=>val ids=item.\u 2.map（x=>x.substring（0，x.indexOf（“：”））（item.\u 1，ids）}.take（100）sparkContext.makeRDD（itemRdd）。重新分区（1）。itemRdd的saveAsTextFile（“/test”）类型为RDD[（string，string）]，例如：[("23", "1:1,2:2,3:3")]