I have the following orders
table:
(1, 2, '2021-03-05', 15, 'books'),
(1, 13, '2022-03-07', 3, 'music'),
(1, 14, '2022-06-15', 900, 'travel'),
(1, 11, '2021-11-17', 25, 'books'),
(1, 16, '2022-08-03', 32, 'books'),
(2, 4, '2021-04-12', 4, 'music'),
(2, 7, '2021-06-29', 9, 'music'),
(2, 20, '2022-11-03', 8, 'music'),
(2, 22, '2022-11-07', 575, 'food'),
(2, 24, '2022-11-20', 95, 'food'),
(3, 3, '2021-03-17', 25, 'books'),
(3, 5, '2021-06-01', 650, 'travel'),
(3, 17, '2022-08-17', 1200, 'travel'),
(3, 19, '2022-10-02', 6, 'music'),
(3, 23, '2022-11-08', 7, 'food'),
(4, 9, '2021-08-20', 3200, 'travel'),
(4, 10, '2021-10-29', 2750, 'travel'),
(4, 15, '2022-07-15', 1820, 'travel'),
(4, 21, '2022-11-05', 8000, 'travel'),
(4, 25, '2022-11-29', 2300, 'travel'),
(5, 1, '2021-01-04', 3, 'music'),
(5, 6, '2021-06-09', 820, 'travel'),
(5, 8, '2021-07-30', 19, 'books'),
(5, 12, '2021-12-10', 22, 'music'),
(5, 18, '2022-09-19', 20, 'books'),
(6, 26, '2023-01-09', 700, 'travel'),
(6, 27, '2023-01-23', 1900, 'travel')
Here's a Fiddle: http://sqlfiddle.com/#!17/71698/3
I would like to get the sum of revenue
by product
among those customers who have ever purchased a travel
product.
In this case, customers 1, 3, 4, 5, and 6 have purchased the travel
product. Therefore, the desired result set would look like this:
customer_id | revenue_books | revenue_music | revenue_food |
---|---|---|---|
1 | 72 | 3 | 0 |
3 | 25 | 6 | 7 |
4 | 0 | 0 | 0 |
5 | 39 | 25 | 0 |
6 | 0 | 0 | 0 |
How would I do this? Thank you!
CodePudding user response:
SELECT
user_id
,sum(case when product='books' then revenue else 0 end) as revenue_books
,sum(case when product='music' then revenue else 0 end) as revenue_music
,sum(case when product='food' then revenue else 0 end) as revenue_food
FROM
orders
where user_id in (select user_id from orders where product='travel')
group by user_id
http://sqlfiddle.com/#!17/71698/5
EDIT
As suggested, this is another option. But it shows null instead of zero. If zero is needed you should use coalesce()
SELECT
user_id
,coalesce(sum(revenue) filter (where product = 'books'),0) as revenue_books
,coalesce(sum(revenue) filter (where product = 'music'),0) as revenue_music
,coalesce(sum(revenue) filter (where product = 'food'),0) as revenue_food
FROM orders
where user_id in (select user_id from orders where product='travel')
group by user_id
http://sqlfiddle.com/#!17/71698/7
CodePudding user response:
You can try with conditional aggregation:
SELECT user_id AS customer_id,
SUM(CASE WHEN product = 'books' THEN revenue ELSE 0 END) AS revenue_books,
SUM(CASE WHEN product = 'music' THEN revenue ELSE 0 END) AS revenue_music,
SUM(CASE WHEN product = 'food' THEN revenue ELSE 0 END) AS revenue_food
FROM orders
GROUP BY user_id
HAVING MAX(CASE WHEN product = 'travel' THEN 1 END) = 1
Output:
customer_id | revenue_books | revenue_music | revenue_food |
---|---|---|---|
1 | 72 | 3 | 0 |
3 | 25 | 6 | 7 |
4 | 0 | 0 | 0 |
5 | 39 | 25 | 0 |
6 | 0 | 0 | 0 |
Check the demo here.
CodePudding user response:
I my answer I show how to think about the problem to get the result -- break it down to parts and then combine it. Some answer give a less verbose query, but I don't think they will be faster. This should be easier to understand for someone new to SQL
First the people who have purchased a travel product
SELECT DISTINCT user_id
FROM orders
WHERE product = 'travel'
You care about books, music and food, you can get the totals for those like this:
SELECT user_id, product, SUM(revenue) as TOT
FROM orders
GROUP BY user_id, product
WHERE product in ('books', 'music', 'food'),
Now join them together
WITH sums AS (
SELECT user_id, product, SUM(revenue) as TOT
FROM orders
GROUP BY user_id, product
WHERE product in ('books', 'music', 'food'),
)
SELECT u.user_id, books.TOT as book_total, music.TOT as music_total, food.TOT as food_total
FROM (
SELECT DISTINCT user_id
FROM orders
WHERE product = 'travel'
) as U
LEFT JOIN sums as books ON u.userid = books.user_id and books.product = 'books'
LEFT JOIN sums as music ON u.userid = music.user_id and music.product = 'music'
LEFT JOIN sums as food ON u.userid = food.user_id and food.product = 'food'