Joining Registered Views with DataFrames in SQL

How do we register multiple DataFrames as temporary views and join them using standard SQL JOIN syntax?

Advanced⏱ 2 Minutes⭐ 700 XP

🤔 THE QUESTION

How do we register multiple DataFrames as temporary views and join them using standard SQL JOIN syntax?

💡 WHAT IS IT?

Registering multiple DataFrames in the catalog and performing relational joins using standard ANSI SQL syntax.

🎯 WHAT IS IT USED FOR?

Relational data integration where domain teams have pre-written complex SQL join models.

💻 EXAMPLE

orders_df.createOrReplaceTempView("orders_tbl")
enriched_df = spark.sql("""
    SELECT o.order_id, o.amount, c.country
    FROM orders_tbl o
    JOIN customers_tbl c ON o.customer_id = c.customer_id
""")

🎯 Mission Objectives

Practice typing production-grade PySpark code for Joining Registered Views with DataFrames in SQL.

✓ Register DataFrame as temporary view
✓ Execute SQL JOIN query across views
✓ Produce enriched DataFrame via SQL

🚀 Start Mission

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