Advanced SQL Interview Question Explained: CTE, Joins, and Grouping for Microsoft SQL Interviews
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- เผยแพร่เมื่อ 8 ก.พ. 2025
- Are you preparing for a Microsoft SQL Server interview? 🚀 This video breaks down a real-world SQL interview question with step-by-step solutions! Learn how to manage employee_details and bonus tables, handle data relationships, and craft efficient SQL queries for scenarios involving salary, bonus calculations, and employee hierarchy. Whether you're a beginner or a seasoned SQL professional, this tutorial will help you ace your SQL interview with confidence. Don’t miss out-watch till the end to level up your SQL skills!
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---------------------------Create Table--------------------------------------
CREATE TABLE employee_details (id BIGINT PRIMARY KEY,
first_name VARCHAR(50),
last_name VARCHAR(50),
age BIGINT,
sex VARCHAR(10),
email VARCHAR(100),
address VARCHAR(100),
city VARCHAR(50),
department VARCHAR(50),
employee_title VARCHAR(50),
manager_id BIGINT,
salary BIGINT,
target BIGINT,
bonus BIGINT);
INSERT INTO employee_details (id, first_name, last_name, age, sex, email, address, city, department, employee_title, manager_id, salary, target, bonus)VALUES (1, 'John', 'Doe', 30, 'Male', 'john.doe@example.com', '123 Elm St', 'New York', 'IT', 'Engineer', 101, 70000, 80000, 5000),(2, 'Jane', 'Smith', 28, 'Female', 'jane.smith@example.com', '456 Oak St', 'Los Angeles', 'HR', 'Manager', 102, 75000, 90000, NULL),(3, 'Alice', 'Johnson', 35, 'Female', 'alice.johnson@example.com', '789 Pine St', 'Chicago', 'Finance', 'Analyst', 103, 80000, 95000, NULL),(4, 'Bob', 'Brown', 40, 'Male', 'bob.brown@example.com', '321 Maple St', 'Boston', 'IT', 'Director', 104, 120000, 130000, NULL),(5, 'Charlie', 'Davis', 25, 'Male', 'charlie.davis@example.com', '654 Cedar St', 'Seattle', 'Marketing', 'Specialist', 105, 50000, 60000, NULL);
CREATE TABLE bonus (worker_ref_id BIGINT, bonus_amount BIGINT, bonus_date DATETIME);
INSERT INTO bonus (worker_ref_id, bonus_amount, bonus_date) VALUES (1, 5000, '2024-01-15'),(1, 3000, '2024-02-20'),(3, 2000, '2024-03-10'),(5, 1000, '2024-04-05');
