Spark SQL Join

Sometimes it is much easier to write complex joins in SQL. In this exercise, we will start with the join keys already in the same format and precision but will use SparkSQL to do the joining.

This exercise is part of the course

Feature Engineering with PySpark

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Exercise instructions

Register the Dataframes as SparkSQL tables with createOrReplaceTempView, name them the df and walk_df respectively.
In the join_sql string, set the left table to df and the right table to walk_df
Call spark.sql() on the join_sql string to perform the join.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Register dataframes as tables
____.createOrReplaceTempView(____)
____.createOrReplaceTempView(____)

# SQL to join dataframes
join_sql = 	"""
			SELECT 
				*
			FROM ____
			LEFT JOIN ____
			ON df.longitude = walk_df.longitude
			AND df.latitude = walk_df.latitude
			"""
# Perform sql join
joined_df = spark.sql(____)

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