Querying on a temp view
In this exercise, you'll practice registering a DataFrame as a temporary SQL view in PySpark. Temporary views are powerful tools that allow you to query data using SQL syntax, making complex data manipulations easier and more intuitive. Your goal is to create a view from a provided DataFrame and run SQL queries against it, a common task for ETL and ELT work.
You already have a SparkContext, spark, and a PySpark DataFrame, df, available in your workspace.
This exercise is part of the course
Introduction to PySpark
Exercise instructions
- Register a new view called
"data_view"from the DataFramedf. - Run the provided SQL query to calculate total salary by position.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Register as a view
df.____("data_view")
# Advanced SQL query: Calculate total salary by Position
result = ____("""
SELECT Position, SUM(Salary) AS Total_Salary
FROM data_view
GROUP BY Position
ORDER BY Total_Salary DESC
"""
)
result.show()