Multi-Step SQL CTE Transformation

How do we execute multi-step Common Table Expressions (CTEs) in Spark SQL to pick latest customer orders?

Advanced⏱ 2 Minutes⭐ 680 XP

🤔 THE QUESTION

How do we execute multi-step Common Table Expressions (CTEs) in Spark SQL to pick latest customer orders?

💡 WHAT IS IT?

Writing SQL CTEs (WITH clause) with window ranking functions inside spark.sql() for complex deduplication.

🎯 WHAT IS IT USED FOR?

Running advanced SQL analytics with modular CTEs directly within distributed Spark pipelines.

💻 EXAMPLE

spark.sql("""
    WITH ranked_orders AS (
        SELECT *, ROW_NUMBER() OVER (PARTITION BY customer_id ORDER BY order_date DESC) as rn
        FROM orders
    )
    SELECT customer_id, order_id, order_date, amount
    FROM ranked_orders
    WHERE rn = 1
""").show()

🎯 Mission Objectives

Practice typing production-grade PySpark code for Multi-Step SQL CTE Transformation.

✓ Write SQL CTE with WITH clause
✓ Apply ROW_NUMBER() in SQL
✓ Filter latest order per customer

🚀 Start Mission

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