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PySpark When Otherwise and SQL Case When on DataFrame with Examples

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PySpark When Otherwise and SQL Case When on DataFrame with Examples

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Questions and Answers

What is the primary function of the PySpark when() function?

To assign a NULL value when no conditions are met

To create a new DataFrame column

To return a literal value when a condition is met (correct)

To filter a DataFrame based on conditions

What does the PySpark otherwise() function return by default?

A literal string value of 'default'

An empty string

The same value as its input

A NULL (None) value (correct)

Which PySpark SQL function works similarly to the 'Switch' statement in programming languages?

filter()

CASE WHEN

select()

when().otherwise() (correct)

How is the PySpark SQL Case When expression different from the if-then-else statement?

Case When can use both literal and Column values in its conditions Signup and view all the answers

What happens when using the when() function without the otherwise() function, and no conditions are met?

It returns a NULL (None) value Signup and view all the answers

Which PySpark function is used for chaining multiple when() clauses?

chain() Signup and view all the answers

What is the primary function of a Case When statement in SQL?

To execute a sequence of conditions and return a value when the first condition is met Signup and view all the answers

What is the purpose of the expr() function in PySpark SQL?

To express SQL-like expressions Signup and view all the answers

How can you use Case When with multiple conditions in PySpark SQL?

Using the AND (&) or OR (|) operators Signup and view all the answers

What is the main difference between SQL Case When statement and PySpark SQL Case When statement?

SQL Case When is used for temporary views while PySpark SQL Case When is used for DataFrames Signup and view all the answers

What is the purpose of the withColumn() function in PySpark SQL?

To create a new column Signup and view all the answers

What is the result of using Case When with multiple conditions in PySpark SQL?

It returns a value when at least one condition is met Signup and view all the answers