我是ApacheSpark的初学者。Spark的RDD API提供了像map、mapPartitions这样的转换函数。我可以理解,mapPartitions适用于RDD中的每个元素,但mapPartitions适用于每个分区,许多人都提到过,在我们想要创建/实例化对象的地方,map是理想的用法,并提供了如下示例:val res = rddD
我需要在sparkmap函数中得到一个小的子图。我试过使用AnormCypher和NEO4J-SPARK-CONNECTOR,但都不起作用。Exception in thread "main" org.apache.spark.SparkException: Task not serializable
at org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCle
val rdd = ssc.sparkContext.parallelize(randomProducts) at org.apache.spark.sql.catalyst.JavaTypeInference$.org$apache$spark$sql$catalyst$JavaTypeInference:995)
at org.apache</
at org.apache.spark.sql.execution.datasources.parquet.ParquetToSparkSchemaConverter.org$apache$spark$$$anonfun$9.apply(ParquetFileFormat.scala:603)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scal