Welcome to this amazing SQL programming test that will help anyone deeply interested in working with databases. This test will help you assess your strengths and find gaps in your SQL skills. Ultimately, you’ll know which part of the SQL you should focus on.
Test Your SQL Programming Skills
Before you delve into the questions and answer section, make sure you have a SQL set up or use some online SQL compiler. Here is the test data you should create as it is used for writing the SQL queries.
Sample Test Data for SQL Queries
Here is sample test data for the SQL programming test.
Context: Galaxy-Themed E-Commerce Store Database
Tables: cust_tbl
, ord_tbl
, and prod_tbl
cust_id | cust_name | join_date | |
---|---|---|---|
1 | Sam | sam@email.com | 2022-01-15 |
2 | Kim | kim@email.com | 2022-02-20 |
3 | Kane | kane@email.com | 2022-03-25 |
4 | Dave | dave@email.com | 2022-04-10 |
ord_id | cust_id | ord_date | ttl_amt |
---|---|---|---|
101 | 1 | 2022-04-01 | 100.00 |
102 | 2 | 2022-04-05 | 75.50 |
103 | 1 | 2022-04-10 | 45.25 |
104 | 3 | 2022-05-02 | 150.75 |
105 | 2 | 2022-05-05 | 65.00 |
106 | 4 | 2022-05-10 | 200.50 |
prod_id | prod_name | unit_price |
---|---|---|
1 | Laptop | 800.00 |
2 | Phone | 400.00 |
3 | Tablet | 300.00 |
4 | Headphones | 50.00 |
5 | Mouse | 15.00 |
6 | Keyboard | 30.00 |
You can create the sample data for the cust_tbl, ord_tbls, and prod_tbl tables using SQL statements like this:
- Create the cust_tbl Table:
CREATE TABLE cust_tbl ( cust_id INT PRIMARY KEY, cust_name VARCHAR(255), email VARCHAR(255), join_date DATE ); INSERT INTO cust_tbl (cust_id, cust_name, email, join_date) VALUES (1, 'Sam', 'sam@email.com', '2022-01-15'), (2, 'Kim', 'kim@email.com', '2022-02-20'), (3, 'Kane', 'kane@email.com', '2022-03-25'), (4, 'Dave', 'dave@email.com', '2022-04-10');
- Create the ord_tbls Table:
CREATE TABLE ord_tbls ( ord_id INT PRIMARY KEY, cust_id INT, ord_date DATE, ttl_amt DECIMAL(10, 2), FOREIGN KEY (cust_id) REFERENCES cust_tbl(cust_id) ); INSERT INTO ord_tbls (ord_id, cust_id, ord_date, ttl_amt) VALUES (101, 1, '2022-04-01', 100.00), (102, 2, '2022-04-05', 75.50), (103, 1, '2022-04-10', 45.25), (104, 3, '2022-05-02', 150.75), (105, 2, '2022-05-05', 65.00), (106, 4, '2022-05-10', 200.50);
- Create the prod_tbl Table:
CREATE TABLE prod_tbl ( prod_id INT PRIMARY KEY, prod_name VARCHAR(255), unit_price DECIMAL(10, 2) ); INSERT INTO prod_tbl (prod_id, prod_name, unit_price) VALUES (1, 'Laptop', 800.00), (2, 'Phone', 400.00), (3, 'Tablet', 300.00), (4, 'Headphones', 50.00), (5, 'Mouse', 15.00), (6, 'Keyboard', 30.00);
These SQL statements will create the tables and insert the sample data. Adjust the data as needed for your tests.
SQL Programming Test
We hope you created the above sample data. You are all set to start facing the questions given below. However, if you see more test data is needed, add it yourself.
Also Read: SQL Complex Queries You Must Try
Beginner Level
Firstly, let’s face the beginner-level SQL programming test questions. Make sure you have created the demo data.
- Retrieve the names of every customer who joined before ‘2022-03-25’.
Ans.
SELECT cust_name FROM cust_tbl WHERE join_date < '2022-03-25';
- List out every order made by “Kim.”
Ans.
SELECT ord_id, ord_date, ttl_amt FROM ord_tbls WHERE cust_id = (SELECT cust_id FROM cust_tbl WHERE cust_name = 'Kim');
- Calculate the number of products that are present in the prod_tbl.
Ans.
SELECT COUNT(*) AS Total_Products_Present FROM prod_tbl;
- Find out how many orders were booked as per the data in the ord_tbls.
Ans.
SELECT COUNT(*) AS Total_Orders_Booked FROM ord_tbls;
- What is the average order amount for customers who joined before ‘2022-03-25’?
Ans.
SELECT AVG(ttl_amt) AS Avg_Order_Amt FROM ord_tbls WHERE cust_id IN (SELECT cust_id FROM cust_tbl WHERE join_date < '2022-03-25');
- Which product is the most popular among those customers who joined in April 2022?
Ans.
SELECT prod_name FROM prod_tbl WHERE prod_id = ( SELECT prod_id FROM ord_tbls WHERE cust_id IN (SELECT cust_id FROM cust_tbl WHERE join_date >= '2022-04-01' AND join_date < '2022-05-01') GROUP BY prod_id ord_tbl BY COUNT(*) DESC LIMIT 1 );
- What is the total revenue generated from orders placed in May 2022?
Ans.
SELECT SUM(ttl_amt) AS Total_Revenue FROM ord_tbls WHERE ord_date >= '2022-05-01' AND ord_date < '2022-06-01';
- What are the total orders placed by customers who have spent more than $500 on the store?
Ans.
SELECT COUNT(*) AS Order_Count FROM ord_tbls WHERE cust_id IN ( SELECT cust_id FROM ord_tbls GROUP BY cust_id HAVING SUM(ttl_amt) > 500 );
Check This: 25 SQL Interview Questions and Answers for 5+ Years
Intermediate Level
Secondly, let’s evaluate our skills with intermediate-level SQL programming test questions.
- Find the customers who have booked more than two orders.
Ans.
SELECT cust_name FROM cust_tbl WHERE cust_id IN ( SELECT cust_id FROM ord_tbls GROUP BY cust_id HAVING COUNT(*) > 2 );
- Calculate the total amount spent by each customer in April 2022.
Ans.
SELECT cust_name, SUM(ttl_amt) AS total_spent FROM cust_tbl JOIN ord_tbls ON cust_tbl.cust_id = ord_tbls.cust_id WHERE ord_date >= '2022-04-01' AND ord_date < '2022-05-01' GROUP BY cust_name;
- List every product with a unit price between $50.00 and $400.00.
Ans.
SELECT prod_name, unit_price FROM prod_tbl WHERE unit_price BETWEEN 50.00 AND 400.00;
- Find the customers who placed orders in both April and May 2022.
Ans.
SELECT cust_name FROM cust_tbl WHERE cust_id IN ( SELECT cust_id FROM ord_tbls WHERE ord_date >= '2022-04-01' AND ord_date < '2022-05-01' INTERSECT SELECT cust_id FROM ord_tbls WHERE ord_date >= '2022-05-01' AND ord_date < '2022-06-01' );
- Find the top 5 customers who have spent the most on their orders in the past 6 months.
Ans.
SELECT cust_name, SUM(ttl_amt) AS total_spent FROM cust_tbl JOIN ord_tbls ON cust_tbl.cust_id = ord_tbls.cust_id WHERE ord_date >= DATEADD(month, -6, GETDATE()) GROUP BY cust_name ord_tbl BY total_spent DESC LIMIT 5;
- What is the average order amount for customers who have purchased a “Laptop”?
Ans.
SELECT AVG(ttl_amt) AS average_ord_tbl_amount FROM ord_tbls WHERE cust_id IN ( SELECT cust_id FROM ord_tbls WHERE prod_id = ( SELECT prod_id FROM prod_tbl WHERE prod_name = 'Laptop' ) );
- Which product has the highest profit margin?
Ans.
SELECT prod_name, (unit_price - cost_price) AS profit_margin FROM prod_tbl ord_tbl BY profit_margin DESC LIMIT 1;
- What is the percentage of customers who have placed more than one order?
Ans.
SELECT (COUNT(DISTINCT cust_id) / (SELECT COUNT(DISTINCT cust_id) FROM ord_tbls)) * 100 AS percentage FROM ord_tbls WHERE cust_id IN ( SELECT cust_id FROM ord_tbls GROUP BY cust_id HAVING COUNT(*) > 1 );
Must Read: 25 SQL Performance Interview Questions and Answers
Advanced Level
Certainly, here are the Advanced Level questions for the E-Commerce Store Database:
- Retrieve the customer name who spent the most on one single order.
Ans.
SELECT cust_name FROM cust_tbl WHERE cust_id = ( SELECT cust_id FROM ord_tbls ord_tbl BY ttl_amt DESC LIMIT 1 );
- List the products not ordered by any customer.
Ans.
SELECT prod_name FROM prod_tbl WHERE prod_id NOT IN (SELECT DISTINCT prod_id FROM ord_tbls);
- Calculate the average total amount spent by customers in May 2022.
Ans.
SELECT AVG(ttl_amt) AS average_ttl_amt FROM ord_tbls WHERE ord_date >= '2022-05-01' AND ord_date < '2022-06-01';
- Find the customers who have not placed any orders in May 2022.
Ans.
SELECT cust_name FROM cust_tbl WHERE cust_id NOT IN ( SELECT DISTINCT cust_id FROM ord_tbls WHERE ord_date >= '2022-05-01' AND ord_date < '2022-06-01' );
- Get the names of all customers, along with the total amount they have spent, ordered by the total amount spent from highest to lowest.
Ans.
SELECT cust_name, SUM(ttl_amt) AS Total_Spend FROM cust_tbl JOIN ord_tbls ON cust_tbl.cust_id = ord_tbls.cust_id GROUP BY cust_name ord_tbl BY total_spent DESC;
- Find the customers who have placed orders in April and May 2022 but have not purchased a “Laptop.”
Ans.
SELECT cust_name FROM cust_tbl WHERE cust_id IN ( SELECT cust_id FROM ord_tbls WHERE ord_date >= '2022-04-01' and ord_date < '2022-05-01' INTERSECT SELECT cust_id FROM ord_tbls WHERE ord_date >= '2022-05-01' and ord_date < '2022-06-01' EXCEPT SELECT cust_id FROM ord_tbls WHERE prod_id = ( SELECT prod_id FROM prod_tbl WHERE prod_name = 'Laptop' ) );
- Design an SQL trigger that updates the product inventory level whenever an order is placed.
Ans.
CREATE TRIGGER UpdateInventory ON ord_tbls AFTER INSERT AS BEGIN UPDATE prod_tbl SET inventory = inventory - (SELECT COUNT(*) FROM inserted WHERE inserted.prod_id = prod_tbl.prod_id) WHERE prod_id IN (SELECT prod_id FROM inserted); END;
These were the Advanced Level questions for your E-Commerce Store Database. If you have any further questions or need additional clarification, don’t hesitate to ask.
You can write efficient queries using the SQL If statement and improve their performance with the SQL Union clause. If this catches your attention, don’t refrain from checking them out.
Summary
The above SQL questions cover a wide range of skills, from beginner to advanced levels, making it a comprehensive test to check your SQL programming skills. The use of an E-Commerce store database was to offer you a real scenario. Whether you’re a beginner or experienced, these questions give you a perfect chance to show your SQL knowledge.
Check out the 50 most-asked SQL query interview questions.
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Happy Learning SQL,
Team TechBeamers.