35086/pyspark-rdd-how-to-get-partition-number-in-output
z = sc.parallelize([1,2,3,4,5,6], 2)
How to get partition number in output?
The glom function is what you are looking for:
glom(self): Return an RDD created by coalescing all elements within each partition into a list.
a = sc.parallelize(range(10), 5) a.glom().collect() #output:[[0, 1], [2, 3], [4, 5], [6, 7], [8, 9]]
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