I'm trying to develop a new products database for a client and I am having a hard time finding a solution to handle the many different prices a product can have.
Variables that can affect the price of a product:
region (where the customer lives).
customer type (whether they're a new customer or a registered customer).
order type (whether you want to purchase the item once or subscribe monthly).
store type (there were many store types, but now they're transitioning to one, but I don't know if they will add more in the future again so I want this to be flexible
Product Table
id
product_name
sku
description
1
Vanilla Protein Powder
1111
This is a description...
Attributes Table
id
associate_type
region
store
currency_code
order_type
1
2
1
11
usd
1
2
2
1
11
usd
2
Product Attributes Table
id
price
product_id
attribute_id
1
49.95
1
1
2
29.95
1
2
I was initially thinking this would be a good route to go, but the issue that arises is on the product page I want to display the price of the product if you want to purchase it once and the price if you wanted to subscribe. The same issue would happen if I also wanted to show a list of product cards on a product category page displaying both prices.
The issue I run into
When I write a query to get the correct products with the correct price lines, I would filter all the products by the variables mentioned above, but I will always want the subscription price and the one-time price, so in the query, I would have to include WHERE order_type = 1 AND order_type = 2 but doing this would return duplicate records of the product/ products because of the different prices for a one-time purchase and a subscription purchase.
Is there a better way to set up the tables I have so that the query would not return duplicate records of the product/ products? Or is there a way to write the query to handle this for me? Or do I even need to switch up my database design altogether?
how to list products in sale order respective to selected product categories
I want to add product category option in sale order line odoo 12 on the base of product category only those products will be shown in product list which lies b/w selected product category. please help me with this.
Someone please help, it's really annoying me that I cannot figure it out.
I know how to do avg and how to find out publishers having books under 10 but how to define the criterion?
Please see the schema below,
TITLES
title_id
title
type
price
pub_id
Thanks in advance!
select pub_id, avg(price)
from TITLES
group by pub_id
having min(price) < 10
I have a question here. we have a customer list and product list and sale table. We want to show each customer to buy each product's total sale.
so I use the query like following:
select ...
from ...
where customer="" and product="".
the query is standard simple one. but the table/dashboard is 20*10. It means for each customer and product pair i have to run a query. i have to run query 200 times. which is super slow.
how to improve this? thanks
right now the dashboard give me 20 customer and 10 product and then i go to database for 200 times. it is from a customer list to pick first 20 and another 20 like this way. the product is the same way to choose.
You can use group by ... Something like
Select customer, product, sum(sales) -- or whatever you need
From ...
Group by customer, product
The server would do the aggregation, and the query is much faster than doing 200 queries
I am trying to CROSS JOIN two tables, customers and items, so I can then create a sales by customer by item report. I have 2000 customer and 2000 items.
SELECT customer_name FROM customers; --Takes 100ms
SELECT item_number FROM items; --Takes 50ms
SELECT customer_name, item_number FROM customers CROSS JOIN items; Takes 200000ms
I know this is 4 million rows, but is it possible to get this to run any faster? I want to eventually join this with a sales table like this:
SELECT customer_name, item_number, sales_total FROM customers CROSS JOIN items LEFT JOIN sales ON (customer.customer_name = sales.customer_name, item.item_number=sales.item_number);
The sales table will obviously not have all customers or all items, so the goal here is to have a report that shows all customers and all items along with what was sold and not sold.
I'm using PostgreSQL 8.4
To answer your question: No, you can't do a cross join faster than that - if you could then that would be how CROSS JOIN would be implemented.
But really you don't want a cross join. You probably want two separate queries, one which lists all customers, and another which lists all items and whether or not they were sold.
This really needs to be multiple reports. I can think of several off the top of my head that will yield more efficient packaging of information:
Report: count of all purchases by customer/item (obvious).
Report: list of all items not purchased, by customer.
Report: Summary of Report #2 (count of items) in order to prioritize which customers to focus on.
Report: list of all customer that have not bought an item by item.
Report: Summary of Report #3 (count of customers) in order to identify both the most popular and unpopular items for further action.
Report: List of all customers who purchased an item in the past, but did not purchase it his reporting period. This report is only relevant when the sales table has a date and the customers are expected to be regular buyers (i.e. disposable widgets). Won't work as well for things like service contracts.
The point here is that one should not insist that the tool process every possible outcome at once and generate more data and anyone could possibly digest manually. One should engage the end-users and consumers of the data as to what their needs are and tailor the output to meet those needs. It will make both sides' lives much easier in the long run.
If you wish to see all items for a given client (even if the cient has no items), i would rather try
SELECT c.customer_name, i.item_number, s.sales_total
FROM customers c LEFT JOIN
sales s ON c.customer_name = s.customer_name LEFT OIN
items i on i.item_number=s.item_number
This should give you a list of all clients, and all items joined by sales.
Perhaps you want something like this?
select c.customer_name, i.item_number, count( s.customer_name ) as total_sales
from customers c full join sales s on s.customer_name = c.customer_name
full join items i on i.item_number = s.item_number
group by c.customer_name, i.item_number