I have the following three tables: Product, User and Purchased.
Product contains:
A unique identifier (productID)
A name (productname)
A price
(productprice)
User contains:
A unique identifier (userID)
Purchased contains:
Two identifiers noted as private keys, productID and userID
A date of the record (creationdate)
My query should return a list of unique products that were bought on the retailer’s site since January 1st with most expensive product returned first.
My Query:
SELECT Product.productID, Product.productname, Purchased.creationdate
FROM Product
INNER JOIN Purchased
ON Product.productID = Purchased.productID;
ORDER BY Product.productprice DESC;
If you just want a list of products, I would suggest exists rather than join:
select p.*
from products p
where exists (select 1
from purchased pu
where pu.productId = p.productId and
year(pu.creationdate) = year(now())
)
order by price desc;
Related
I have a product table with columns prodId (product id) and consumer id where prodId is primary key and for each product we have prodId , now for each product we have a consumer as a consumer can have many product , I need to find number number of people according to number of products they have .
You can use two levels of aggregation:
select numproducts, count(*) as numpeople
from (select consumerid, count(*) as numproducts
from product
group by consumerid
) c
group by numproducts
order by numproducts;
Process:
When user buy item and check out then there's cart and cart items table to store the transaction.
1 cart_id have many item which stored in cart items table.
After purchase succeed, then will generate a purchase order id and stored in purchase order table .
In purchase order table, id_cart and status will be stored.
From here, i am trying to calculate quantity based on id_product or id branch or etc from the purchase made.
There is receiving and ordered quantity field, which in some cases quantity received field might be null, so i will take ordered quantity value.
This is my query
SELECT id_product,sum(DISTINCT(COALESCE(received_qty, quantity)))
FROM (SELECT C.id_cart,C.received_qty,C.quantity , P.id_product,
PO.id_purchase_order, PO.status
FROM (SELECT * FROM cart_items WHERE id_cart IN (SELECT id_cart FROM purchase_orders)) AS C
LEFT JOIN products as P on p.id_product = c.id_product
LEFT JOIN purchase_orders AS PO ON C.id_cart = PO.id_cart ) AS A
GROUP By A.id_product
Table data
The cart id in will be duplicated based on product's supplier. Because need to track and send separately to supplier.
Result
By right the product id for 1212 should be 1 and 1223 is 2, total qty =3.
What's wrong with my query ?
Your outer joins seem to cause multiplication of your data, but there are so many unnecessary layers of fluff in your query that I cant make it out exactly.
How about just this:
SELECT id_product, sum(COALESCE(received_qty, quantity)) AS Nmbr
FROM cart_items
GROUP BY id_product
If you want to make sure the cart is in your purchase_orders:
SELECT c.id_product, sum(COALESCE(c.received_qty, c.quantity)) AS Nmbr
FROM cart_items c
JOIN (SELECT DISTINCT id_cart FROM purchase_orders) p ON p.id_cart = c.id_cart
GROUP BY c.id_product
Okay so I have 2 tables. One table for Product List and one table for Orders. There will be several of the same ProductID in my Table1 since each ProductID has several parts to it (IE: Part 1 of 7.)
The PartNumber will be a number. How do I design my query to find me all the customers who have purchased one of the part numbers, but not all the part numbers for a single product ID?
I'm just learning the basics of MySQL so any help would be much appreciated!
Table1 - Product List
UniqueIDKey
Product ID
PartNumber
Table2 - Orders
UniqueIDKey
Product ID Ordered
PartNumber Ordered
Customer ID
So an order might look like this:
UniqueIDKey: 77
Product ID Ordered: 1001
PartNumber Ordered: 3
Customer ID: 2000001
And, several rows of my Table1 - Product List might look like this:
UniqueIDKey Product ID PartNumber
77 1001 1
78 1001 2
79 1001 3
You need to know the total number of parts under each product prior
to knowing which customers bought some parts of a product but not the
whole.
The query enclosed by table alias B provides count of parts for
each product.
The query enclosed by table alias A provides for each
<customer,product> pair the total number of bought parts.
Now the rest is to match whether the total number of bought parts is
less than the total number of parts of a product.
In this approach the query would look like below:
SELECT
A.customer_id,
A.product_id,
A.total_parts_of_product_customer_purchased AS total_purchased,
B.total_parts,
B.total_parts - A.total_parts_of_product_customer_purchased AS didnot_purchase
FROM (
SELECT
customer_id,
product_id,
count(part_number) AS total_parts_of_product_customer_purchased
FROM Orders AS ordr
GROUP BY
customer_id, product_id
) AS A
INNER JOIN (
SELECT
product_id,
count(part_number) AS total_parts
FROM product_list AS pl
GROUP BY product_id
) AS B
ON A.product_id = B.product_id
WHERE A.total_parts_of_product_customer_purchased < B.total_parts
ORDER BY A.customer_id;
Use a cross join to get all combinations of customers,product_id's and part_numbers. left join orders table on to this result to get customers who haven't ordered all the parts in a product.
select c.customer_id,p.product_id
from (select product_id,part_number from product_list) p
cross join (select distinct customer_id from orders) c
left join orders o on p.product_id=o.product_id and p.part_number=o.part_number and c.customer_id=o.customer_id
group by c.customer_id,p.product_id
having count(o.part_number) < count(p.part_number)
Hi I want to get opposite of intersect from two tables.
I have a sale table and purchase table. What I want to do is get all purchases ids where not included in the sales table.
sale table
sale_id (pk)
product_id (fk)
purchase_id (fk)
purchase table
product_id (fk)
purchase_id (pk)
SELECT DISTINCT purchase_id
, product_id
FROM
purchase
INNER JOIN sale
USING (purchase_id, product_id);
Here is an example:
If I run the above code, this will be the result.
purchase_id product id
1 1
1 2
1 4
2 1
2 3
Now I want to get:
purchase_id product id
1 3
2 2
In short I want to get inverse of above code. Thanks in advance.
Okay, I think I understand better now.
This should return any entry in purchase that have no matching entry in sales.
SELECT
`purchase`.`purchase_id`, `purchase`.`product_id`
FROM `purchase`
LEFT JOIN `sale` ON `sale`.`purchase_id` = `purchase`.`purchase_id` AND `sale`.`product_id` = `purchase`.`product_id`
WHERE
`sale`.`sale_id` IS NULL
ORDER BY
`purchase`.`purchase_id`, `purchase`.`product_id`
If you want to get all the purchases that have no related values in the sales table, you can use a LEFT JOIN:
select
p.purchase_id
from
purchase as p
left join sale as s on p.purchase_id = s.purchase_id
where
s.purchase_id is null;
"Unilateral" joins (LEFT JOIN, RIGHT JOIN) are useful when you want to get data from a table even if data in another related table does not exist. Of course, that means that you can filter data from one table when there's no related data in a second table.
Hope this helps.
Looking at your updated question and your comment, I think that you want all the possible combinations not used.
You'll need to split this in two steps:
First you need all the possible combinations of purchase_id and sale_id values (the "cartesian product" of both the sets).
Then you need to get all the combinations already used.
Finally you need to exclude all the combinations already used.
This can be done using subqueries.
Step 1.
select distinct p.purchase_id, s.product_id from purchase as p, sale as s;
Step 2. (Your query)
select distinct
purchase_id, product_id
from
purchase as p
inner join sale as s
on (p.purchase_id = s.purchase_id and p.product_id = s.product_id);
Step 3. Put it all together
select
a.*
from
(select distinct p.purchase_id, s.product_id from purchase as p, sale as s) as a
left join (
select distinct
purchase_id, product_id
from
purchase as p
inner join sale as s
on (p.purchase_id = s.purchase_id and p.product_id = s.product_id)
) as e on (a.purchase_id = e.purchase_id and a.product_id = e.product_id)
where
e.purchase_id is null and e.product_id is null;
Product Table columns:
image1
product_type
product.amount
price
description
product_id
Offers Table columns:
Offer_id
Product_id
Offered person
I need to get count of offer_id by using product_id on these two tables. I also need to get product list my filtering by product_type.
I have tried the following:
SELECT COUNT(offers_id) AS offers,
image1,
product_type,
product.amount,
product.price,
description,
product.product_id
FROM product INNER JOIN offers ON product.product_id = offers.product_id
WHERE product_type LIKE '%$product_type%'"
But this query returns only one product from the product table.
If you want a count of grouped information you have to use GROUP BY, e.g:
SELECT COUNT(offers_id) AS offers, image1, product_type, product.amount, product.price, description, product.product_id
FROM product INNER JOIN offers ON product.product_id = offers.product_id
WHERE product_type LIKE '%$product_type%'"
GROUP BY image1, product_type, product.amount, product.price, description, product.product_id