Services
Technology Web App Development Mobile App Development Windows App Development Database Development UI/UX Development Cloud Development SEO Digital Marketing Guest Posting Content Writing Artificial Intelligence Data Science ERP Development CRM Development CMS Development LMS Development Business Listing Blockchain Technology Startup Promotion AI Tools Integration
Products
Data Converter Cleaner TUC - Unit Converter Import Export Survey Manager Tweet Controller
Developer
Article Blog Forum Interview Beginner News Startup Quiz
Users
Career
Apply Job Internship
Pricing
Login Sign Up Get a Quote

forum

Home Forums How to get the sum for every distinct value in another column? – MindStick
Ask Question

1 Answers

Aryan Kumar
Aryan Kumar 28 Jul 2023
Report Abuse

Sure, you can get the sum for every distinct value in another column using the GROUP BY clause and the SUM() function. The syntax is as follows:

SQL

SELECT distinct_column_name, SUM(column_name)
FROM table_name
GROUP BY distinct_column_name;

For example, if you have a table called products with the columns name and price, you could use the following SQL statement to get the sum of all product prices for each unique product name:

SQL

SELECT name, SUM(price)
FROM products
GROUP BY name;

This would return a table with two columns: name and sum. The name column would contain the unique product names, and the sum column would contain the sum of all product prices for each unique product name.

Here is an example of how to get the sum for every distinct value in another column in MySQL:

SQL

CREATE TABLE products (
  id INT NOT NULL AUTO_INCREMENT,
  name VARCHAR(255) NOT NULL,
  price INT NOT NULL,
  PRIMARY KEY (id)
);

INSERT INTO products (name, price) VALUES
('Product 1', 100),
('Product 2', 200),
('Product 3', 300),
('Product 1', 400),
('Product 2', 500);

SELECT name, SUM(price)
FROM products
GROUP BY name;

This will return the following result:

name | sum
------+-----
Product 1 | 500
Product 2 | 700
Product 3 | 300

As you can see, the GROUP BY clause has grouped the rows in the products table by the name column. The SUM() function has then been used to calculate the sum of all product prices for each unique product name.

advertising
Markdown for AI

A clean, structured version of this page for AI assistants and LLMs.

Open .md