Mastering SQL Query Execution Order

Did you know? The way SQL executes a query is not the same as how we write it!

Understanding this execution flow can optimize performance and prevent errors.

Here’s the logical order of execution in SQL:

1️⃣ FROM– Retrieves data from the specified table(s).
2️⃣ WHERE– Filters rows based on conditions.
3️⃣ GROUP BY– Groups data based on specified columns.
4️⃣ HAVING– Filters groups created by GROUP BY.
5️⃣ SELECT– Determines which columns/expressions to return. (`DISTINCT` applies here!)
6️⃣ ORDER BY– Sorts the result set.
7️⃣ LIMIT– Restricts the number of rows returned.

🔹 Example SQL Query:


SELECT department, COUNT(employee_id) AS total_employees
FROM employees
WHERE status = 'active'
GROUP BY department
HAVING total_employees > 5
ORDER BY total_employees DESC
LIMIT 10;


🛠️ Execution happens in this order:

1️⃣ FROM → 2️⃣ WHERE → 3️⃣ GROUP BY → 4️⃣ HAVING → 5️⃣ SELECT → 6️⃣ ORDER BY → 7️⃣ LIMIT

Tools will come and go—Excel, SQL, Python—but if you’ve nailed the concept, you can work your magic on any platform.

SQL Quick Reference Guide for Interviews — Save this goldmine of concepts!

Struggling to prepare for an SQL interview?
Feeling overwhelmed with scattered topics, endless documentation, and YouTube rabbit holes?

This post is your shortcut. Your SQL survival kit. Your 360° revision guide.

Cracking Flipkart’s Business Analyst Interview (1–3 Experience )| CTC – ₹14 LPA
Real Questions | Real Experience | Real Prep

Here’s a breakdown of the actual questions asked across rounds – from SQL to Python, guesstimates, case studies, and managerial round.



🧠 SQL Questions:
1. What are window functions vs. aggregate functions? Share a use case.
2. Explain indexing. When can it reduce performance? How do you build an indexing strategy?
3. Retrieve customers who purchased in the last 30 days but *not* in the previous 30 days.
4. Find the top 3 most purchased products in each category.
5. Identify and remove duplicate records while retaining the first occurrence.



📊 Guesstimates:
1. Estimate monthly online food orders in a metro city.
2. Estimate daily customer care calls for a telecom with 1M users.



🧩 Case Studies:
1. Conversion rates dropped for a product category — how do you debug this?
2. Flipkart wants to launch a subscription model — how do you assess its impact on revenue and CLTV?



🤝 Managerial Round:
1. Share a time you managed conflicting priorities under tight deadlines.
2. How would you resolve disagreements on an analytical approach?



🐍 Python Questions

1. Write a function to find the longest sequence of unique consecutive numbers in a list.
2. How do you handle missing values in large datasets? Which Python libraries and why?