collect ( ) ) #, ,, ] print (union_rdd. parallelize ( ), ( "b", ) ] ) print (x1. groupBy ( lambda x : 'A' if x % 2 = 1 else 'B' ) print (y. collect ( ) ) #, ] # filter操作 print (rdd1. Transformation函数以及Action函数 4.1 Transformation函数 getNumPartitions ( ) ) # 6个数据7个分区，有一个分区是空的 per partition content, ,, ,, , ] print ( "per partition content", collection_rdd. parallelize (, numSlices = 7 ) print ( "collection_rdd number of partitions ", collection_rdd. textFile ( "/export/workspace/bigdata-pyspark_2.3.0/PySpark-SparkCore_2.3.0/data/ratings100" ) print ( "file_rdd numpartitions ".
有两个不同的方式可以创建新的RDD from pyspark import SparkConf, SparkContextĬonf = SparkConf ( ). 15 UDF(User defined aggregation function)
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