12 Questions
What is the primary function of the PySpark when() function?
To return a literal value when a condition is met
What does the PySpark otherwise() function return by default?
A NULL (None) value
Which PySpark SQL function works similarly to the 'Switch' statement in programming languages?
when().otherwise()
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
What happens when using the when() function without the otherwise() function, and no conditions are met?
It returns a NULL (None) value
Which PySpark function is used for chaining multiple when() clauses?
chain()
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
What is the purpose of the expr() function in PySpark SQL?
To express SQL-like expressions
How can you use Case When with multiple conditions in PySpark SQL?
Using the AND (&) or OR (|) operators
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
What is the purpose of the withColumn() function in PySpark SQL?
To create a new column
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
Learn how to use when() and otherwise() functions in PySpark to check multiple conditions in sequence on a DataFrame, similar to SQL's case when and if then else statements. Explore examples and understand how these functions work.
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