Interview Tips: Pattern Recognition & Composition
Master the Building Blocks of SQL Interviews
Learn the 5 core patterns that solve 80% of interview questions - then mix and match them like musical notes
The Pattern Approach to SQL Interviews
Think of SQL patterns like musical notes (Do-Re-Mi-Fa-So). Just five notes, but you can combine them into millions of melodies. Similarly, 5 common SQL patterns cover 80% of interview questions.
How Interviews Actually Work
Round 1: Single Pattern Test
Interviewers start with one pattern to test your fundamentals:
-
"Find the top 3 products by revenue" → Ladder pattern
-
"Show user activity over time" → Timeline pattern
-
"Find users who did X but not Y" → Exception Finder
Whiteboard Interviews
Think out loud with pseudo-queries. Use Debug Tables to build confidence.
-- 1. Sketch the data structure
products: product_id, name, revenue, category
-- 2. Write high-level approach
"Need to PARTITION BY category,
ORDER BY revenue,
take top 3 per group"
-- 3. Build incrementally
SELECT *,
ROW_NUMBER() OVER (
PARTITION BY category
ORDER BY revenue DESC
) AS topcategories
FROM products
-- 4. Add filter
WHERE topategories <= 3
Key: Show your thought process!
IDE/CoderPad Interviews
-- Actually run these queries:
SELECT * FROM products LIMIT 5;
-- Check data structure
SELECT *, revenue
FROM products
ORDER BY revenue DESC
LIMIT 10;
-- Verify ordering works
SELECT *, ROW_NUMBER() OVER (...) AS topproducts
FROM products;
-- Test window function
-- Then build final query
Key: Test incrementally, show systematic debugging!
Round 2: Pattern Composition
Once you pass, they test if you can combine patterns:
-
"Top 3 products by revenue over time" → Ladder + Timeline
-
"Users with increasing activity who never purchased" → Funnel + Exception
-
"Peak usage hours by user segment" → Timeline + Ladder
The WITH Clause: Your Best Friend
-- Modular, readable, composable
WITH ladder_pattern AS (
-- Pattern 1: Find top items
SELECT *, ROW_NUMBER() OVER (PARTITION BY category ORDER BY revenue DESC) AS RANK
FROM products
),
timeline_pattern AS (
-- Pattern 2: Track over time
SELECT *, SUM(amount) OVER (ORDER BY date) AS running_total
FROM ladder_pattern
WHERE RANK <= 3
)
SELECT * FROM timeline_pattern;
Why interviewers like this:
-
Shows you can decompose problems into sub-parts
-
Each CTE solves one piece clearly
-
Easy to debug and explain your thinking
-
Demonstrates production-ready code style
What They're Really Testing
Interviewers don't care if you memorize solutions. They want to see if you can:
-
Decompose complex problems into manageable pieces
-
Name things clearly (avoid confusing aliases like 'rank')
-
Write readable code that others can maintain
-
Think systematically about edge cases
Practice Strategy
In Your Project
-
Start with single patterns on your data
-
Add WHERE, HAVING, and see what breaks
-
Combine 2 patterns, then 3
-
Use descriptive aliases (
user_signup_ranknotr)
Common Combinations to Practice
-
Ladder + Timeline: Top performers over time
-
Funnel + Exception: Drop-off analysis
-
Timeline + Comparison: Growth rate changes
-
Ladder + Funnel: Top conversion paths
Interview Day Tips
-
Start simple - get a working query first
-
Use CTEs liberally - one pattern per CTE
-
Name everything clearly -
days_since_signupnotd -
Test edge cases - NULLs, ties, empty results
The Meta Pattern
-- The interview meta-pattern
WITH
clean_data AS (
-- Handle NULLs, filters
),
pattern_one AS (
-- First analytical pattern
),
pattern_two AS (
-- Second analytical pattern
),
final_output AS (
-- Combine and format
)
SELECT * FROM final_output;
Remember: You're not just writing SQL. You're demonstrating that you can think in components, build systematically, and communicate clearly - exactly what they need on their team.