Imagine I have table like this:
id:Product:shop_id
1:Basketball:41
2:Football:41
3:Rocket:45
4:Car:86
5:Plane:86
Now, this is an example of large internet mall, where there are shops which sell to one customer, so customer can choose more products from each shop and buy it in one basket.
However, I am not sure if there is any SQL syntax which allows me to simply get unique shop_ids and total number of those shops' products in customer basket. So I'd get something like:
Shop 41 has 2 products
Shop 45 one product
Shop 86 two product
I can make SQL queries to scoop through table to make some kind of ['shop_id']['number_of_products'] array variable that would store all products' shop_ids, then "unique them" - up and count how many times I had to cut one more shop_id out to have some remaining but that just seems as a lot of useless scripting.
If you got some nice and neat idea, please, let me know.
This is exactly the sort of thing that aggregate functions are for. You make one row of output for each group of rows in the table. Group them by shop_id and count how many rows are in each group.
select shop_id, count(1) from TABLE_NAME
group by shop_id
Related
I am writing a SQL query that needs to show the total number of orders from each store. The issue I am running into, is that while I can figure out how to sum the orders by product and each product is only sold by one store, I can't figure out how to total the orders by store alone
This is the code I currently have
SELECT storeID AS [STORE], Product_ID
, SUM(quantity) AS [ORDERS BY STORE]
FROM Fulfillment, Store
GROUP BY storeID, Product_ID;
This line of code leads to a repeat of storeID in the results, where ideally, I would only want storeID to be included in the results once with the total quantity of all of Product_ID being included. I tried to remove Product_ID from the GROUP BY statement, but this resulted in the following error
Column 'Fulfillment.Product_ID' is invalid in the select list because it is not contained in either an aggregate function or the GROUP BY clause.
I'm new to SQL and am trying to learn, so any help and advice is greatly appreciated
#ZLK is correct that if your goal is a total number of units ordered ("quantity") of any product, simply remove the [product_id] column from the SELECT and GROUP BY.
However, it appears that you're referencing two tables ("FROM Fulfillment, Store") and not specifying how those tables are joined, creating a cartesian join - all rows in one table will be joined to all rows in the other table. If the [storeID] and [quantity] fields are available in the Fulfillment table, I recommend removing the Store table reference from the FROM clause (so "FROM Fulfillment" alone).
One last note: You mention that you want to count "orders". In some circumstances, an order may have multiple products and a quantity > 1. If your goal is the total number of "orders" regardless of the number of products or quantity of products on an order, you'll want to use "COUNT(DISTINCT orderID) as [Orders]" (where "orderID" is the reference to the unique order number).
I am running into an issue with writing an SQL query with Google Big Query. Basically looking to transfer the top products, per country, per category which are also in stock into a table.
So far I have pulled in the top products, per country, per category but the issue is with getting the 'in-stock' part added to the table. I can't find any similar keys in the schema to match them up.
Ideally the table would include:
Rank, Product Title, Country, Category, In-Stock
I would really appreciate any help on this! Thanks.
I have tried to add in a separate table that includes the 'availability' key for each product but I could not match it
You have your top_products table to check the rank that you can join to the product_inventory using the rank_id.
This join will retrieve the product_id and join that key to the products table.
After that, you get the availability information of the product and then you have all the information you require.
I am looking for a way to somehow bring the information of different rows in to different/one column.
This is the problem:
Assume that I have 10 different sellers and 1000 buyers.
Currently this is how data structured (picture)
So for each sale, I have a row with the id of the seller and a buyer who bought something from him. What I want to have is to have 1 row for each seller and then in one/different columns I want to see the id of the buyer.
I am using snowflake and read about different ways but none of them really works.
I also have a timestamp column in this table and the only thing that I could think up until now is to
SELECT seller,
rank()over(partition by seller order by purchase_date desc)
and after that I can use aggregation functions - this is not really a wise solution and not really practical when I have 10 -20 or more buyers.
What is the best approach for solving these types of problems?
You should be able to do this using listagg function as per the snowflake documentation
https://docs.snowflake.com/en/sql-reference/functions/listagg.html
--This will create a concatenated list of buyers seperated by a comma
select seller
,listagg(buyer,',') within group(order by buyer)
from table
group by seller
this is my first question on here, so please forgive me if I break any rules.
Here is what I need to know:
How do I create an Oracle SQL query that will display a unique count of something even if there are duplicates in the results?
Example: a customer table has a list of purchases made by various customers. The table lists the customer ID, name, category of purchase (ie Hardware, Tools, Seasonal) ect. The outcome of the query needs to show each customer id, customer name and the category of the purchase, and a count of the individual customer. SO customer ID 1 for John Smith has made a purchase in each department. If I do a count of the customer, he will appear three times as he has made three purchases, but I also need a column to count the customer only once. The count in the other rows returned for the other departments should show a 0 or Null.
I normally achieve this by pulling everything and exporting to excel. I add a column that uses an IF formula on the ID to only show a 1 on the first occurrence of the customer IE: IF(A3=A2,0,1) (if a3 is the same as A2, show a 0, if it's not the same as A2 then show a 1). This will give me a unique count of customers for one part of the report and will still show me how many purchase the customer made in another part of the report.
I want to do this directly in the SQL query as I have a large set of data this needs to be done on, and adding any formulas in excel will make the sheet huge. This will also make it easier to host the query results in ACCESS so excel can pull it from there.
I have tried to find a solution to this for a while, but any searching on Google will usually return results on how to remove duplicates form a table or how to count the duplicates in a table.
I am sorry if this is long question, but I wanted to be through so I do not waste anyone's time on back an fourth comments (I have seen this many times on here and else where when the OP asks a very cryptic question and expects everyone to understand them without further expiation).
Using distinct can be used in a count to only count the unique values of a field.
SELECT
cust.customer_id, cust.customer_name, p.category,
count(distinct p.department_id) as total_departments,
count(*) as total_purchases
FROM customers cust
LEFT JOIN purchase_table p on (cust.customer_id = p.customer_id)
GROUP BY cust.customer_id, cust.customer_name, p.category
ORDER BY cust.customer_id;
Such method is not limited to the Oracle RDBMS.
I am working on a database with products and lot numbers. Each entry in the Lots table has a Lot Number and a Product description.
Sometimes there are multiple records of the same lot number, for example when an item is repacked a new record is created, but with the same Lot Number and same product description - this is fine. But other times there are problem cases, namely when two different products share the same Lot Number. I am trying to find those.
In other words, there are 3 possibilities:
Lot numbers for which there is only one record in the table.
Lot numbers for which there are multiple records, but the Product description is the same for all of them
Lot numbers for which there are multiple records, and the product descriptions are not all the same.
I need to return only #3, with a separate record for each instance of that Lot Number and product description.
Any help would be greatly appreciated.
Thanks Juan for the sample data. Using this example, I want to return the data contained in Id 2-8, but not 1, 9, 10, 11.
This wasn't easy because lot of time don't use access.
First select unique values using distinct.
Then count how many diferent product appear on each lotnumber using group by
Last join both result and show only the lots with more than one description where total >1
.
SELECT id, Product.lotnumber, Product.Product, total
FROM
Product Inner join
(
SELECT lotnumber, count(*) as total
FROM
(SELECT distinct lotnumber, product
FROM Product)
GROUP BY lotnumber
) SubT On Product.lotnumber = SubT.lotnumber
WHERE total > 1
ORDER BY id
As you can see :
lot 2 have two products (yy and zz)
lot 3 have thre products (aa, bb, cc)
I include my product table:
Sorry for spanish. Field types are Autonumeric, Short Text, and Number