pyspark.RDD.groupBy

RDD.groupBy(f, numPartitions=None, partitionFunc=<function portable_hash>)

Return an RDD of grouped items.

Examples

>>> rdd = sc.parallelize([1, 1, 2, 3, 5, 8])
>>> result = rdd.groupBy(lambda x: x % 2).collect()
>>> sorted([(x, sorted(y)) for (x, y) in result])
[(0, [2, 8]), (1, [1, 1, 3, 5])]

pyspark.RDD.glom pyspark.RDD.groupByKey