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PySpark RDD | zip method

Machine Learning
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PySpark RDD
schedule Jul 2, 2022
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PySpark RDD's zip(~) method combines the elements of two RDDs into a single RDD of tuples.

Parameters

1. other | RDD

The other RDD to combine with.

Return Value

A new PySpark RDD.

Examples

Combining two PySpark RDDs into a single RDD of tuples

Consider the following two PySpark RDDs:

x = sc.parallelize(range(0,6), 3)
y = sc.parallelize(range(10, 16), 3)

Here, we are using the parallelize(~) method to create two RDDs, each having 3 partitions.

We can see the actual values in each partition using the glom(~) method:

[[0, 1], [2, 3], [4, 5]]

We see that RDD x indeed has 3 partitions, and we have 2 elements in each partition. The same can be said for RDD y:

[[10, 11], [12, 13], [14, 15]]

We can combine the two RDDs x and y into a single RDD of tuples using the zip(~) method:

zipped_rdd = x.zip(y)
zipped_rdd.collect()
[(0, 10), (1, 11), (2, 12), (3, 13), (4, 14), (5, 15)]
WARNING

In order to use the zip(~) method, the two RDDs must have the exact same number of partitions as well as the exact same number of elements in each partition.

robocat
Published by Isshin Inada
Edited by 0 others
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