WINDOW in PostgreSQL - Examples & AI Generator

PostgreSQL's WINDOW clause lets you define reusable window frames for analytics—but mastering its advanced syntax can be tricky and time-consuming, especially when switching between databases. With AI2sql, you can transform natural language questions into production-ready WINDOW PostgreSQL queries in just 10 seconds, with no coding required. Focus on analysis, not memorizing complex PostgreSQL WINDOW syntax.

WINDOW Syntax in PostgreSQL

General Syntax

SELECT column, AGG_FUNC() OVER win_name
FROM table
WINDOW win_name AS (PARTITION BY ... ORDER BY ... ROWS BETWEEN ...);

• WINDOW defines and names a window for reuse.

• PARTITION BY groups rows inside the window frame.

• ORDER BY sets row sequence for calculations.

• ROWS/RANGE BETWEEN bounds the window frame.

Key PostgreSQL Differences

• Allows named windows using WINDOW clause (unlike some databases).

• Supports advanced window chaining and referencing.

WINDOW Examples You Can Generate Instantly

Boost productivity with ready-to-use WINDOW PostgreSQL examples:

• 1. Calculate each customer's running total of orders

SELECT customer_id, order_date, amount,
  SUM(amount) OVER my_window AS running_total
FROM orders
WINDOW my_window AS (PARTITION BY customer_id ORDER BY order_date);

• 2. Rank products by monthly sales within each category

SELECT product_id, category, month, units_sold,
  RANK() OVER w AS monthly_rank
FROM sales
WINDOW w AS (PARTITION BY category, month ORDER BY units_sold DESC);

• 3. Find average transaction size, using a 7-day moving window

SELECT customer_id, transaction_date, amount,
  AVG(amount) OVER seven_days AS avg_7day_amount
FROM transactions
WINDOW seven_days AS (
  PARTITION BY customer_id
  ORDER BY transaction_date
  ROWS BETWEEN 6 PRECEDING AND CURRENT ROW
);

Generate WINDOW queries in 10 seconds with AI2sql

Why Use AI2sql Instead of Manual WINDOW Coding

• Speed: Instant WINDOW query generation saves hours on complex syntax.

• Accuracy: Eliminates risk of subtle syntax errors unique to PostgreSQL WINDOW frames.

• Accessibility: Data analysts and SQL newcomers can run advanced analytics without deep SQL expertise.

• Trusted by 50,000+ users across 80+ countries for secure, production-ready queries.

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Frequently Asked Questions

What does the WINDOW clause do in PostgreSQL?

The WINDOW clause lets you define named windows, which you can reuse across multiple analytic functions in a single query. This improves readability and reduces repetition.

When should I use the WINDOW clause instead of defining window frames inline?

Use named WINDOW clauses when you need to apply the same partition/order logic to several analytics like SUM(), RANK(), or AVG(), making refactoring and maintaining your SQL easier.

Does AI2sql support all PostgreSQL WINDOW features?

Yes, AI2sql's advanced engine supports PostgreSQL-specific WINDOW syntax, including partitions, ordering, window frame definitions, and named windows.

Conclusion

Writing WINDOW queries in PostgreSQL can be challenging—even for experts. With AI2sql, skip manual syntax work, generate complex analytics in 10 seconds, and focus on uncovering insights. Ready to save time and boost your analytics?

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