ROW_NUMBER وRANK وDENSE_RANK

SELECT id, user_id, total,
       ROW_NUMBER() OVER (
         PARTITION BY user_id ORDER BY total DESC, id
       ) AS rn
FROM orders;

WITH ranked AS (
  SELECT *,
         ROW_NUMBER() OVER (
           PARTITION BY user_id ORDER BY total DESC
         ) AS rn
  FROM orders
)
SELECT * FROM ranked WHERE rn <= 3;
-- Each user's top 3 orders.

-- totals: 100, 90, 90, 70
-- RANK:    1,   2,  2,  4    (skipped 3)
SELECT id, total,
       RANK() OVER (ORDER BY total DESC) AS rk
FROM orders;

-- totals: 100, 90, 90, 70
-- DENSE:   1,   2,  2,  3
SELECT id, total,
       DENSE_RANK() OVER (ORDER BY total DESC) AS dr
FROM orders;

SELECT id, total,
       NTILE(4) OVER (ORDER BY total) AS quartile
FROM orders;
-- 1 = bottom 25%, 4 = top 25%

WITH dups AS (
  SELECT id,
         ROW_NUMBER() OVER (PARTITION BY email ORDER BY id) AS rn
  FROM users
)
DELETE FROM users WHERE id IN (SELECT id FROM dups WHERE rn > 1);

WITH r AS (
  SELECT id, user_id,
         ROW_NUMBER() OVER (PARTITION BY user_id ORDER BY created_at DESC) AS rn
  FROM orders
)
SELECT * FROM r WHERE rn BETWEEN 6 AND 10;

SELECT id, total,
       PERCENT_RANK() OVER (ORDER BY total) AS pct_rank,
       CUME_DIST()    OVER (ORDER BY total) AS cume_dist
FROM orders;