search
Search
Login
Unlock 100+ guides
menu
menu
web
search toc
close
Comments
Log in or sign up
Cancel
Post
account_circle
Profile
exit_to_app
Sign out
What does this mean?
Why is this true?
Give me some examples!
search
keyboard_voice
close
Searching Tips
Search for a recipe:
"Creating a table in MySQL"
Search for an API documentation: "@append"
Search for code: "!dataframe"
Apply a tag filter: "#python"
Useful Shortcuts
/ to open search panel
Esc to close search panel
to navigate between search results
d to clear all current filters
Enter to expand content preview
icon_star
Doc Search
icon_star
Code Search Beta
SORRY NOTHING FOUND!
mic
Start speaking...
Voice search is only supported in Safari and Chrome.
Navigate to

PySpark RDD | zipWithIndex method

schedule Aug 12, 2023
Last updated
local_offer
PySpark
Tags
tocTable of Contents
expand_more
mode_heat
Master the mathematics behind data science with 100+ top-tier guides
Start your free 7-days trial now!

PySpark RDD's zipWithIndex(~) method returns a RDD of tuples where the first element of the tuple is the value and the second element is the index. The first value of the first partition will be given an index of 0.

Parameters

This method does not take in any parameters.

Return Value

A new PySpark RDD.

Examples

Consider the following PySpark RDD with 2 partitions:

rdd = sc.parallelize(['A','B','C'], 2)
rdd.collect()
['A', 'B', 'C']

We can see the content of each partition using the glom() method:

rdd.glom().collect()
[['A'], ['B', 'C']]

We see that we indeed have 2 partitions with the first partition containing the value 'A', and the second containing the values 'B' and 'C'.

We can create a new RDD of tuples containing positional index information using zipWithIndex(~):

new_rdd = rdd.zipWithIndex()
new_rdd.collect()
[('A', 0), ('B', 1), ('C', 2)]

We see that the index position is assigned based on the partitioning position - the first element of the first partition will be assigned the 0th index.

robocat
Published by Isshin Inada
Edited by 0 others
Did you find this page useful?
thumb_up
thumb_down
Comment
Citation
Ask a question or leave a feedback...
thumb_up
0
thumb_down
0
chat_bubble_outline
0
settings
Enjoy our search
Hit / to insta-search docs and recipes!