🔍 Spark SQL Tutorial¶

Master Spark SQL for distributed data processing. Learn advanced queries, optimization, and best practices.

🎯 Learning Objectives¶

• Write efficient Spark SQL queries
• Use window functions and CTEs
• Optimize query performance
• Work with complex data types
• Implement data quality checks

📋 Prerequisites¶

• Spark cluster - Databricks or HDInsight
• SQL knowledge - Advanced SQL concepts
• Understanding of DataFrames

📊 Advanced Queries¶

-- Window functions
SELECT
    customer_id,
    order_date,
    amount,
    SUM(amount) OVER (
        PARTITION BY customer_id
        ORDER BY order_date
        ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW
    ) as running_total,
    ROW_NUMBER() OVER (
        PARTITION BY customer_id
        ORDER BY amount DESC
    ) as purchase_rank
FROM orders;

🎯 Performance Tips¶

• Use Catalyst optimizer
• Enable adaptive query execution
• Broadcast small tables
• Partition large tables

📚 Resources¶

• Spark SQL Guide
• Performance Tuning

Last Updated: January 2025