Apache Spark 3 for Data Engineering and Analytics with Python - SortByKey Transformations

This video tutorial covers the basics of using the sort by key transformation in Spark. It begins with an introduction to the concept, followed by creating a list of tuples containing countries and their rankings. The tutorial then demonstrates how to create an RDD from this list and sort it by country name. It further explores sorting by ranking in descending order using map transformation and Lambda functions. The session concludes with a brief overview of RDD transformations and a preview of upcoming topics on RDD actions.

What is the primary requirement for using the sort by key transformation?

• A key-value pair

• A list of integers

• A single string

• A boolean value

Which method is used to create an RDD from a list in Spark?

• parallelize

• map

• filter

• reduce

What is the purpose of the sort by key transformation in the context of the countries list?

• To remove duplicate entries

• To sort the list by country name

• To filter out countries with low rankings

• To calculate the average ranking

What is the key in the tuple when sorting by country name?

• The tuple index

• The country name

• The RDD name

• The ranking

How can you sort the list by ranking in descending order?

• By using the filter transformation

• By reversing the list after sorting

• By switching the key-value pair and using sort by key

• By using the reduce transformation

What transformation is used to switch the key-value pair in the tuple?

• groupBy

• map

• filter

• reduce

Which parameter is used to sort in descending order?

• Null

• False

• None

• True