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๐Ÿง  SQL Interview Question (Tricky & Logic-Based)
๐Ÿ“Œ

logins(user_id, login_date)

โ“ Ques :

๐Ÿ‘‰ Find users who logged in for 3 or more consecutive days.

๐Ÿงฉ How Interviewers Expect You to Think

โ€ข Understand consecutive date logic
โ€ข Use date arithmetic smartly
โ€ข Create groups using row-number difference trick
โ€ข Avoid complex self-joins
โ€ข Aggregate after forming streak groups

๐Ÿ’ก SQL Solution

WITH numbered_logins AS (
SELECT
user_id,
login_date,
ROW_NUMBER() OVER (
PARTITION BY user_id
ORDER BY login_date
) AS rn
FROM logins
),
grouped_logins AS (
SELECT
user_id,
login_date,
DATE_SUB(login_date, INTERVAL rn DAY) AS grp
FROM numbered_logins
)

SELECT
user_id
FROM grouped_logins
GROUP BY user_id, grp
HAVING COUNT(*) >= 3;

๐Ÿ”ฅ Why this question is powerful:

โ€ข Tests advanced window function usage
โ€ข Checks understanding of gaps & islands concept
โ€ข Evaluates real-world product analytics thinking
โ€ข Very common in growth / engagement analytics interviews

โค๏ธ React if you want more scenario-based SQL questions
  • โค 6
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