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# PySpark RDD | zip method

schedule Aug 12, 2023
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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:

``` x.glom().collect() [[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`:

``` y.glom().collect() [[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.

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