PySpark and AWS: Master Big Data with PySpark and AWS - RDD Distinct

The video tutorial explains the use of the distinct function in PySpark, which is used to obtain unique elements from an RDD. It demonstrates how to apply the distinct function in a Jupyter Notebook, both in a step-by-step manner and in a single line of code. The tutorial also covers the combination of flatMap and distinct functions, explaining the flow of data processing and the creation of new RDDs. The video concludes with a summary of the distinct function's functionality and its application in PySpark.

What is the primary purpose of the distinct function in PySpark?

• To merge two RDDs into one

• To obtain unique elements from an RDD

• To filter out null values from an RDD

• To sort the elements in an RDD

In the Jupyter notebook example, what is the result of applying the distinct function to an RDD with all unique elements?

• A new RDD with only one element

• An RDD with duplicate elements

• An RDD identical to the original

• An empty RDD

What is the role of the flatMap function when used before distinct in PySpark?

• To sort the elements in an RDD

• To split elements into multiple parts

• To remove duplicates from an RDD

• To combine multiple RDDs into one

What happens when you apply distinct to an RDD after using flatMap?

• It provides unique elements from the flattened data

• It merges the RDD with another

• It filters out null values

• It sorts the elements

How does chaining operations like flatMap and distinct benefit PySpark users?

• It requires more memory

• It increases the execution time

• It makes the code harder to read

• It simplifies the code and reduces the need for intermediate variables

Why is it not mandatory to break down each function into separate lines in PySpark?

• Because it is a requirement in PySpark

• Because it always results in errors

• Because it depends on the user's proficiency and preference

• Because it is not supported in PySpark

What is the outcome of applying distinct on an RDD with duplicate elements?

• The RDD contains only unique elements

• The RDD is converted to a DataFrame

• The RDD is sorted

• The RDD remains unchanged