Are you preparing for a Stripe SQL interview or any data-related interview? In this video, I provide a step-by-step solution to the commonly asked interview question on "Repeated Payments" using SQL. I'll walk you through how to identify repeated payments, write an efficient query, and explain the logic behind the solution. Whether you're a beginner or experienced, this solution will help you understand the key concepts and techniques needed for solving such questions in real-time. #sql #dataanalyst #interview
-- Create the table
CREATE TABLE Transactions (
transaction_id INT PRIMARY KEY,
merchant_id INT,
credit_card_id INT,
amount DECIMAL(10, 2),
transaction_timestamp DATETIME
);
-- Insert the data
INSERT INTO Transactions (transaction_id, merchant_id, credit_card_id, amount, transaction_timestamp)
VALUES
(1, 101, 1, 100, '2022-09-25 12:00:00'),
(2, 101, 1, 100, '2022-09-25 12:08:00'),
(3, 101, 1, 100, '2022-09-25 12:28:00'),
(4, 102, 2, 300, '2022-09-25 12:00:00'),
(6, 102, 2, 400, '2022-09-25 14:00:00');
👉 Key Topics Covered:
Understanding the "Repeated Payments" problem
Writing SQL queries to identify recurring payments
Optimizing SQL for performance
Best practices for SQL interviews
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