Ask Your Question
3

What is the method to group similar cases together in an SQL query, while keeping different cases on separate lines?

asked 2021-12-31 11:00:00 +0000

ladyg gravatar image

edit retag flag offensive close merge delete

1 Answer

Sort by ยป oldest newest most voted
2

answered 2022-10-08 23:00:00 +0000

scrum gravatar image

The method to group similar cases together in an SQL query, while keeping different cases on separate lines is by using the GROUP BY clause. The GROUP BY clause groups data based on one or more columns, and then aggregates the data using aggregate functions such as SUM, COUNT, AVG, etc. However, the GROUP BY clause will merge similar cases into a single row, so to keep different cases on separate lines, you can include the column(s) that represent the different cases in the SELECT statement, but not in the GROUP BY clause. This will keep those columns separate and show all cases in separate rows.

For example, if you have a table called "orders" with columns "orderid", "customerid", "orderdate", and "ordertotal", and you want to group orders by customer and show the order count and total for each customer while keeping each order on a separate row, you can use the following SQL query:

SELECT customerid, orderid, COUNT(orderid) AS ordercount, SUM(ordertotal) AS ordertotal FROM orders GROUP BY customer_id

This will group all orders by the customerid column, but the orderid column will still be shown in the result set, so each order will be on a separate row. The result set will show the customerid, orderid, order count, and order total for each customer.

edit flag offensive delete link more

Your Answer

Please start posting anonymously - your entry will be published after you log in or create a new account. This space is reserved only for answers. If you would like to engage in a discussion, please instead post a comment under the question or an answer that you would like to discuss

Add Answer


Question Tools

Stats

Asked: 2021-12-31 11:00:00 +0000

Seen: 7 times

Last updated: Oct 08 '22