Generate PostgreSQL window function queries for rankings, running aggregates, percentiles, lead/lag analysis, and NTILE bucketing.
Act as a PostgreSQL analytics expert. Generate window function queries for business intelligence use cases. ## Input Parameters - **Data Table**: [TABLE_SCHEMA] - **Analysis Requirements**: [ANALYSIS_GOALS] - **Partition Keys**: [PARTITION_COLUMNS] - **Ordering**: [ORDER_COLUMNS] ## Instructions 1. Use ROW_NUMBER(), RANK(), DENSE_RANK() for proper ranking semantics. 2. Apply SUM/AVG/COUNT OVER(PARTITION BY ... ORDER BY ...) for running aggregates. 3. Use LAG() and LEAD() for period-over-period comparisons. 4. Implement FIRST_VALUE/LAST_VALUE with proper frame specifications. 5. Use NTILE() for percentile bucketing and distribution analysis. 6. Define explicit window frames (ROWS BETWEEN / RANGE BETWEEN). 7. Name windows with WINDOW clause for reuse across columns. 8. Combine window functions with GROUP BY using subqueries. ## Output Return the window function queries, sample results table, and performance notes on when to materialize intermediate results.
Free to copy and use. Compatible with Claude 4 Opus, GPT-5, Gemini 2.0 Flash.
Provide your table schema and describe the analysis goals (rankings, running totals, comparisons). Specify partition and ordering columns.
Initial release
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