Lets say, I have two tables: Customers and Orders. I need to get result consisting all customers and their last order.
I am trying to make this query, because my bigger goal is to iterate over all customers and their last orders to get crucial information. I am trying to do this using cursor, so I need that table.
-edit-
I have MSSQL database on SQL 2014 server.
I have relation one-to-many, where customers have many orders.
I need to migrate data from one DB to another with different data schema. I thought about making sql script to get data from one DB and then using cursor and variables to insert data to a new one. There are not many records so performance is not an issue.
Let us have Customer(cid PK, and possibly other columns) and Orders(cid FK, order_time) having 1:N cardinality. The the solution can be along these lines:
select c.*, o.*
from customer c
join orders o on c.cid = o.cid
join
(
select cid, max(order_time) max_order_time
from orders
group by cid
) t on o.cid = t.cid and
o.order_time = t.max_order_time
My first thought is to use row_number():
select
from customer c join
(select o.*, row_number() over (partition by cid order by order_time desc) as seqnum
from orders o
where order_time < '2018-01-01' and order_time >= '2017-01-01'
) o
on c.cid = o.cid and o.seqnum = 1;
Related
I have two tables called 'Customers' and 'Orders'. Tables column names are as follow:
Customers: id, name, address
Orders: id, person_id, product, price
The desired outcome is to query all customers with one of their latest purchases. I have a lot of duplicates in 'Orders' table whereby two records with same time-stamp due to some bug.
I have written the following code but the issue is that the query does not return table 2(Orders) column values. Can anyone advise what the issue is?
SELECT C.Id,C.Name, O.item, O.price, O.product
FROM Customers C
LEFT JOIN
(
SELECT TOP 1 person_id
FROM Orders
WHERE status = 'Pending'
) O ON C.ID = O.person_id
Results: O.item, O.price, O.product values are all null
Edit: Sample Data
ID/ NAME/ ADDRESS/
1/ A/ Ad1/
2/ B/ Ad2/
3/ C/ Ad3/
ID/ Person ID/ PRODUCT PRICE/ Created Date
ID-1234/ 1/ Book/ $5/ 26-2-2017
ID-1235/ 1/ Book/ $5/ 26-2-2017
ID-1236/ 2/ Calendar/ $10/ 4-2-2017
ID-1238/ 1/ Pen/ $2/ 1-1-2016
Assuming that the id column in Orders is a primary key autoincrement, then the following should work:
SELECT c.id,
c.name,
COALESCE(t1.price, 0.0) AS price,
COALESCE(t1.product, 'NA') AS product
FROM Customers c
LEFT JOIN Orders t1
ON c.id = t1.person_id
LEFT JOIN
(
SELECT person_id, MAX(CAST(SUBSTRING(id, 4, LEN(id)) AS INT)) AS max_id
FROM Orders
GROUP BY person_id
) t2
ON t1.person_id = t2.person_id AND
t2.max_id = CAST(SUBSTRING(t1.id, 4, LEN(t1.id)) AS INT)
This answer assumes that taking the greatest order ID per customer will yield the most recent purchase. Ideally you should have a timestamp column which captures when a transaction took place. Note that even in the query above, we still have no way of knowing when the most recent transaction took place.
So where is the timestamp column? It's not mentioned in your table schema. But your description does not mention the status column either, and that is clearly in there.
Is orders.id unique? Is it the key for the Orders table?> If it is, then your schema has no way to identify "duplicate" records. You cannot mean to imply that only one order per customer is allowed, so if there are multiple orders for a single customer, how do we identify the duplicates? By the unmentioned timestamp column?
If there IS a `timestamp column, and that's how you would identify dupes, then use it.
SELECT C.Id,C.Name, O.item, O.price, O.product
FROM Customers C LEFT JOIN Orders o
on o.id = (Select Min(id) from orders
where person_id = c.Id
and timestamp = o.timestamp
and status = 'Pending')
I have a customers and orders table in SQL Server 2008 R2. Both have indexes on the customer id (called id). I need to return details about all customers in the customers table and information from the orders table, such as details of the first order.
I currently left join my customers table on a subquery of the orders table, with the subquery returning the information I need about the orders. For example:
SELECT c.id
,c.country
,First_orders.product
,First_orders.order_id
FROM customers c
LEFT JOIN SELECT( id,
product
FROM (SELECT id
,product
,order_id
,ROW_NUMBER() OVER (PARTITION BY id ORDER BY Order_Date asc) as order_No
FROM orders) orders
WHERE Order_no = 1) First_Orders
ON c.id = First_orders.id
I'm quite new to SQL and want to understand if I'm doing this efficiently. I end up left joining quite a few subqueries like this onto the customers table in one select query and it can take tens of minutes to run.
So am I doing this efficiently or can it be improved? For example, I'm not sure if my index on id in the orders table is of any use and maybe I could speed up the query by creating a temporary table of what is in the subquery first and creating a unique index on id in the temporary table so SQL Server knows id is now a unique column and then joining my customers table to this temporary table? I typically have one or two million rows in the customers and orders tables.
Many thanks in advance!
You can remove one of your subqueries to make it a little more efficient:
SELECT c.id
,c.country
,First_orders.product
,First_orders.order_id
FROM customers c
LEFT JOIN (SELECT id
,product
,order_id
,ROW_NUMBER() OVER (PARTITION BY id ORDER BY Order_Date asc) as order_No
FROM orders) First_Orders
ON c.id = First_orders.id AND First_Orders.order_No = 1
In your above query, you need to be careful where you place your parentheses as I don't think it will work. Also, you're returning product in your results, but not including in your nested subquery.
For someone who is just learning SQL, your query looks pretty good.
The index on customers may or may not be used for the query -- you would need to look at the execution plan. An index on orders(id, order_date) could be used quite effectively for the row_number function.
One comment is on the naming of fields. The field orders.id should not be the customer id. That should be something like 'orders.Customer_Id`. Keeping the naming system consistent across tables will help you in the future.
Try this...its easy to understand
;WITH cte
AS (
SELECT id
,product
,order_id
,ROW_NUMBER() OVER (
PARTITION BY id ORDER BY Order_Date ASC
) AS order_No
FROM orders
)
SELECT c.id
,c.country
,c1.Product
,c1.order_id
FROM customers c
INNER JOIN cte c1 ON c.id = c1.id
WHERE c1.order_No = 1
Please note that I have seen a similar query here, but think my query is different enough to merit a separate question.
Suppose that there is a database with the following tables:
customer_table with customer_ID (key field), customer_name
orders_table with order_ID (key field), customer_ID, product_ID
Now suppose I would like to find the names of all the customers who have ordered more than 10 different types of product, and the number of types of products they ordered. Multiple orders of the same product does not count.
I think the query below should work, but have the following questions:
Is the use of count(distinct xxx) generally allowed with a "group by" statement?
Is the method I use the standard way? Does anybody have any better ideas (e.g. without involving temporary tables)?
Below is my query
select T1.customer_name, T1.customer_ID, T2.number_of_products_ordered
from customer_table T1
inner join
(
select cust.customer_ID as customer_identity, count(distinct ord.product_ID) as number_of_products_ordered
from customer_table cust
inner join order_table ord on cust.customer_ID=ord.customer_ID
group by ord.customer_ID, ord.product_ID
having count(distinct ord.product_ID) > 10
) T2
on T1.customer_ID=T2.customer_identity
order by T2.number_of_products_ordered, T1.customer_name
Isn't that what you are looking for? Seems to be a little bit simpler. Tested it on SQL Server - works fine.
SELECT customer_name, COUNT(DISTINCT product_ID) as products_count FROM customer_table
INNER JOIN orders_table ON customer_table.customer_ID = orders_table.customer_ID
GROUP BY customer_table.customer_ID, customer_name
HAVING COUNT(DISTINCT product_ID) > 10
You could do it more simply:
select
c.id,
c.cname,
count(distinct o.pid) as `uniques`
from o join c
on c.id = o.cid
group by c.id
having `uniques` > 10
I have these two tables:
Customers: Id, Name
Orders: Id, CustomerId, Time, Status
I want to get a list of customers for which the LAST order does not have a status of 'Wrong'.
I know how to use a LEFT JOIN to get a count of orders for each customer, but I don't know how I can use this statement for what I want. Maybe a JOIN is not the right thing to use too, I'm not sure.
It's possible that customers do not have any order, and they should be returned.
I'm abstracting the real tables here, but the scenario is for a windows phone app sending notifications. I want to get all clients for which their last notification does not have a 'Dropped' status. I can sort their notifications (orders) by the 'Time' field. Thanks for the help, while I continue experimenting with subqueries in the where clause.
Select ...
From Customers As C
Where Not Exists (
Select 1
From Orders As O1
Join (
Select O2.CustomerId, Max( O2.Time ) As Time
From Orders As O2
Group By O2.CustomerId
) As LastOrderTime
On LastOrderTime.CustomerId = O1.CustomerId
And LastOrderTime.Time = O1.Time
Where O1.Status = 'Dropped'
And O1.CustomerId = C.Id
)
There are obviously alternatives based on the actual database product and version. For example, in SQL Server one could use the TOP command or a CTE perhaps. However, without knowing what specific product is being used, the above solution should produce the results you want in almost any database product.
Addition
If you were using a product that supported ranking functions (which database product and version isn't mentioned) and common-table expressions, then an alternative solution might be something like so:
With RankedOrders As
(
Select O.CustomerId, O.Status
, Row_Number() Over( Partition By CustomerId Order By Time Desc ) As Rnk
From Orders As O
)
Select ...
From Customers
Where Not Exists (
Select 1
From RankedOrders As O1
Where O1.CustomerId = C.Id
And O1.Rnk = 1
And O1.Status = 'Dropped'
)
Assuming Last order refers to the Time column here is my query:
SELECT C.Id,
C.Name,
MAX(O.Time)
FROM
Customers C
INNER JOIN Orders O
ON C.Id = O.CustomerId
WHERE
O.Status != 'Wrong'
GROUP BY C.Id,
C.Name
EDIT:
Regarding your table configuration. You should really consider revising the structure to include a third table. They would look like this:
Customer
CustomerId | Name
Order
OrderId | Status | Time
CompletedOrders
CoId | CustomerId | OrderId
Now what you do is store the info about a customer or order in their respective tables ... then when an order is made you just create a CompletedOrders entry with the ids of the 2 individual records. This will allow for a 1 to Many relationship between customer and orders.
Didn't check it out, but something like this?
SELECT c.CustmerId, c.Name, MAX(o.Time)
FROM Customers c
LEFT JOIN Orders o ON o.CustomerId = c.CustomerId
WHERE o.Status <> 'Wrong'
GROUP BY c.CustomerId, C.Name
You can get list of customers with the LAST order which has status of 'Wrong' with something like
select customerId from orders where status='Wrong'
group by customerId
having time=max(time)
Lets say I have the following tables:
Customers
Products
CustomerProducts
Is there a way I can do a select from the Customers and Products tables, where the values are NOT in the map table? Basically I need a matched list of Customers and Products they do NOT own.
Another twist: I need to pair one customer per product. So If 5 customers do not have Product A, only the first customer in the query should have Product A. So the results would look something like this:
(Assume that all customers own product B, And more than one customer owns products A, C, and D)
Customer 1, Product A
Customer 2, Product C
Customer 3, Product D
Final twist: I need to run this query as part of an UPDATE statement in SQL Sever. So I need to take the value from the first row:
Customer 1, Product A
and update the Customer record to something like
UPDATE Customers
SET Customers.UnownedProduct = ProductA
WHERE Customers.CustomerID = Customer1ID
But it would be nice if I could do this whole process, in one SQL statement. So I run the query once, and it updates 1 customer with a product they do not own.
Hope that's not too confusing for you! Thanks in advance!
WITH q AS
(
SELECT c.*, p.id AS Unowned,
ROW_NUMBER() OVER (PARTITION BY p.id ORDER BY c.id) AS rn
FROM Customers c
CROSS JOIN
Products p
LEFT JOIN
CustomerProducts cp
ON cp.customer = c.id
AND cp.product = p.id
WHERE cp.customer IS NULL
)
UPDATE q
SET UnownedProduct = Unowned
WHERE rn = 1
UPDATE statement will update the first customer who doesn't own a certain product.
If you want to select the list, you'll need:
SELECT *
FROM (
SELECT c.*, p.id AS Unowned,
ROW_NUMBER() OVER (PARTITION BY p.id ORDER BY c.id) AS rn
FROM Customers c
CROSS JOIN
Products p
LEFT JOIN
CustomerProducts cp
ON cp.customer = c.id
AND cp.product = p.id
WHERE cp.customer IS NULL
) cpo
WHERE rn = 1
If you update only one customer at once, you might need to remember which products have been assigned automatically (in CustomerProducts) or have a counter how often a product has been assigned automatically (in Products)
I tried this in oracle (hope it works for you too)
UPDATE customers c
SET unownedProduct =
( SELECT MIN( productid )
FROM products
WHERE productid NOT IN (
SELECT unownedProduct
FROM customers
WHERE unownedProduct IS NOT NULL )
AND productid NOT IN (
SELECT productid
FROM customerProducts cp
WHERE cp.customerId = c.customerid )
)
WHERE customerId = 1
What if the customer doesn't own more than one product? and how are you going to maintain this field as the data changes? I thinkyou really need to do some more thinking about your data structure as it doesn't make sense to store this information in the customer table.