$foreach$1.apply(RDD.scala:911)org.apache.spark.rdd.RDD$$anonfun$foreach$1.apply(RDD.scala:910) at org.apache.spark.rdd.RDDOperationScope:111) at org.apache.spark.rdd.RDD.withScope(RDD.scala:316) at org.apache.spark.rdd.RDD.foreach(RDD.<
(SparkContext.scala:2027) at org.apache.spark.SparkContext.runJob(SparkContext.scala:2124) at org.apache.spark.rdd.RDD$.withScope(RDDOperationScope.scala:112) at org.apache.spark.rdd.RDD.withScope(RDD.scala:363) at org.apache.spark</
在spark-sql中,我有一个列为col的数据帧,其中包含一个大小为100的Int数组(例如)。 at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:116)(SparkPlan.scala:135)
at org.apache.spark</em
我找不到RDD的总和。我是这个领域的新手,请帮帮忙。 at org.apache.spark.rdd.RDD.iterator(RDD.scala:290)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala</e
我有一个pyspark代码,它既存储在AWS集群的主节点上,也存储在一个s3桶中,该桶从MySQL数据库中获取超过1.4亿行,并将列的总和存储在s3上的日志文件中。$.getHadoopFileSystem(Utils.scala:1911)
at org.apache.spark.util.Utils$.doFetchFile(Utils.scala:766at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deplo