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@sqlspecialist

Data Analytics

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PostedNov 2611/26/2025, 07:09 PM
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✅SQL Window Functions – Part 1:🧠 What Are Window Functions? They perform calculations across rows related to the current row without reducing the result set. Common for rankings, comparisons, and totals. 1. RANK() Assigns a rank based on order. Ties get the same rank, but next rank is skipped. Syntax: RANK() OVER ( PARTITION BY column ORDER BY column ) Example Table: Sales | Employee | Region | Sales | |----------|--------|-------| | A | East | 500 | | B | East | 600 | | C | East | 600 | | D | East | 400 | Query: SELECT Employee, Sales, RANK() OVER (PARTITION BY Region ORDER BY Sales DESC) AS Rank FROM Sales; Result: | Employee | Sales | Rank | |----------|-------|------| | B | 600 | 1 | | C | 600 | 1 | | A | 500 | 3 | | D | 400 | 4 | 2. DENSE_RANK() Same logic as RANK but does not skip ranks. Query: SELECT Employee, Sales, DENSE_RANK() OVER (PARTITION BY Region ORDER BY Sales DESC) AS DenseRank FROM Sales; Result: | Employee | Sales | DenseRank | |----------|-------|-----------| | B | 600 | 1 | | C | 600 | 1 | | A | 500 | 2 | | D | 400 | 3 | RANK vs DENSE_RANK - RANK skips ranks after ties. Tie at 1 means next is 3 - DENSE_RANK does not skip. Tie at 1 means next is 2 💡 Use RANK when position gaps matter 💡 Use DENSE_RANK for continuous ranking Double Tap ♥️ For More