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Exercise

Running SQL on DataFrames

DataFrames can be easily manipulated using SQL queries in PySpark. The .sql() method in 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 a DataFrame that you have 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 df available in your workspace.

Instructions

100 XP
  • Create a temporary table named "people" from the 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 called people_df_names.
  • Print the top 10 names of the people from people_df_names DataFrame.