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.

Это упражнение является частью курса

Feature Engineering with PySpark

Посмотреть курс

Инструкции к упражнению

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.

Интерактивное практическое упражнение

Попробуйте выполнить это упражнение, дополнив этот пример кода.

# 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(____)

Редактировать и запускать код