Exercise

Running SQL Queries Programmatically

DataFrames can easily be manipulated using SQL queries in PySpark. The sql() function on a SparkSession enables applications to run SQL queries programmatically and returns the result as another DataFrame. In this exercise, you'll create a temporary table of the people_df DataFrame that you created previously, then construct a query to select the names of the people from the temporary table and assign the result to a new DataFrame.

Remember, you already have a SparkSession spark and a DataFrame people_df available in your workspace.

Instructions

100 XP
  • Create a temporary table people that's a pointer to the people_df DataFrame.
  • Construct a query to select the names of the people from the temporary table people.
  • Assign the result of Spark's query to a new DataFrame - people_df_names.
  • Print the top 10 names of the people from people_df_names DataFrame.