I have two tables, one called orders and the other one is invoices. I want to know if I have a closed order without an invoice. they're joined by id_order, so I have this.
select I.ID_Order,O.ID_order from Invoices I
inner join Orders O on o.ID_Order = I.ID_Order
where o.Status='x'
if o.iD_order is found in invoices that means the order is invoiced.
if o.id_order is not found in invoices that means its not invoiced.
I want to get in the select statement all of the orders that are not invoiced.
Method1:
select *
From Order
Where ID_Order not in (Select ID_Order from Invoices)
Method 2:
select O.*
from Orders O
Left join
Invoices I
on o.ID_Order = I.ID_Order
where I.ID_Order IS NULL
Method 3:
select *
From Order as O
Where Not Exists (Select ID_Order from Invoices as I Where I.ID_Order = O.ID_Order)
Stick to the first one, usually that has a better performance.
Related
Sorry new to this but,
I need to sort customer names by total quantity of items purchased by them, in desc order.
the purchased amount in the table is known as Inv_number
I would need the customer name and than the sum. This is what it should be
Thanks
I don't know what your tables are named or what fields they have on them, so I'll give a generic example:
SELECT c.CUST_NAME AS "cust_name",
SUM(oi.QTY_PURCHASED) AS "sum"
FROM CUSTOMERS c
INNER JOIN ORDERS o
ON o.ID_CUSTOMERS = c.ID_CUSTOMERS
INNER JOIN ORDER_ITEMS oi
ON oi.ID_ORDERS = o.ID_ORDERS
GROUP BY c.CUST_NAME
ORDER BY SUM(oi.QTY_PURCHASED) DESC,
c.CUST_NAME ASC
db<>fiddle here
Should work this way - you have to join the tables for customerinfo (customer in this script) and the items purchased (order_items). For simplicity I only made an example with two tables. if the customer_id is present in a kind of "order" table, you have to join order_items -> order -> customer
SELECT
x.customer_name,
y.customer_amount
FROM customer x
INNER JOIN (
SELECT
customer_id,
SUM(order_amount) AS customer_amount
FROM order_items
GROUP BY customer_id
) y ON x.id = y.customer_id
ORDER BY y.customer_amount DESC;
I have a Postgres (9.1) customer database similar to:
customers.id
customers.lastname
customers.firstname
invoices.id
invoices.customerid
invoices.total
invoicelines.id
invoicelines.invoiceid
invoicelines.itemcode
invoicelines.price
I built a search which lists all customers who have purchased a certain item (say 'abc').
Select * from customers WHERE customers.id IN
(Select invoices.customerid FROM invoices WHERE invoices.id IN
(Select invoicelines.invoiceid FROM invoicelines WHERE
invoicelines.itemcode = 'abc')
)
The search works fine and brings up the correct customers but takes about 10 seconds or so on a database of 2 million invoices and 2 million line items.
I was wondering if there was another approach that could trim that down a bit.
An alternative is to use EXISTS:
Select *
from customers
WHERE EXISTS (
Select invoices.customerid
FROM invoices
JOIN invoicelines
ON invoicelines.invoiceid = invoices.id AND
invoicelines.itemcode = 'abc' AND
customers.id = invoices.customerid)
You might switch to using exists instead. I suspect that this might work well:
Select c.*
from customers c
where exists (Select 1
from invoices i join
invoicelines il
on i.id = il.invoiceid and il.itemcode = 'abc'
where c.id = i.customerid
);
For this, you want to be sure you have the right indexes: invoices(customerid, id) and invoicelines(invoiceid, itemcode).
Do you want all of the rows and columns in customer where the itemcode for that customer's item is 'abc'? If you join on the customerid then you can find all of the customer information for those items. If you have duplicates within that list you can use DISTINCT which will only give you one entry per customerID.
SELECT
DISTINCT [List of customer columns]
FROM
customers
INNER JOIN
invoicelines
ON
customers.customerid = invoicelines.customerid
AND
invoicelines.itemcode = 'abc'
I have three tables, orders, orders_details and customers. I need to select orders by one customer for the orders table so I did this
orders columns:
id
customer_id
created
vat
discount
amount
paid
orders_details columns:
id
order_id
cost
qty
product
The SQL I used
SELECT
orders.*,
SUM(orders_details.qty*orders_details.cost) as amount,
SUM(orders_details.qty) AS qty
FROM
orders,
orders_details,
customers
WHERE
orders.customer_id = customers.id
AND orders_details.order_id = orders.id
AND orders.customer_id = 1
but I am getting a wrong qty of 30 instead of 20 and the amount is wrong
If you want to aggregate per order you need a GROUP BY clause. Also you should use proper JOIN syntax, and might consider using aliases to make the query more compact.
SELECT
o.*,
SUM(od.qty * od.cost) AS amount,
SUM(od.qty) AS qty
FROM orders o
INNER JOIN orders_details od ON od.order_id = o.id
INNER JOIN customers c ON o.customer_id = c.id -- not used, might be excluded
WHERE o.customer_id =1
GROUP BY o.id
Depending on what database system you are using you might need to include all columns referenced in o.* in the GROUP BY:
GROUP BY o.id, o.customer_id, o.created, o.vat, o.discount, o.amount, o.paid
Last note: as you don't seem to use any data from the customers table you probably could exclude that table altogether.
You're missing a GROUP BY clause which I'm guessing should be on orders.id.
I have a table for "branches", "orders" and "products. Each order and product are connected to a branch with branch_id. I need an sql statement to get a list of all branches with a field for how many orders and a field for how many products.
This works:
SELECT b.*, COUNT(o.id) AS orderCount FROM branches b
LEFT JOIN orders o ON (o.branch_id = b.id) GROUP BY b.id
but it only gets the amount of orders, not products.
If I change it to add amount of products, the amounts are wrong because it's getting amount of orders * amount of products.
How can I get the amount of both the orders and the products in the same SQL statement?
Something like this should work (on sql server at least - you didn't specify your engine).
SELECT
b.id
,COUNT(distinct o.id) AS orderCount
,COUNT(distinct p.id) AS productCount
FROM branches b
LEFT JOIN orders o
ON (o.branch_id = b.id)
left join products p
on p.product_id=b.id)
GROUP BY
b.id
Please try:
select
*,
(select COUNT(*) from Orders o where o.branch_id=b.id) OrderCount,
(select COUNT(*) from Products p where o.branch_id=p.id) ProductCount
From
branches b
Say I have 2 tables: Customers and Orders. A Customer can have many Orders.
Now, I need to show any Customers with his latest Order. This means if a Customer has more than one Orders, show only the Order with the latest Entry Time.
This is how far I managed on my own:
SELECT a.*, b.Id
FROM Customer a INNER JOIN Order b ON b.CustomerID = a.Id
ORDER BY b.EntryTime DESC
This of course returns all Customers with one or more Orders, showing the latest Order first for each Customer, which is not what I wanted. My mind was stuck in a rut at this point, so I hope someone can point me in the right direction.
For some reason, I think I need to use the MAX syntax somewhere, but it just escapes me right now.
UPDATE: After going through a few answers here (there's a lot!), I realized I made a mistake: I meant any Customer with his latest record. That means if he does not have an Order, then I do not need to list him.
UPDATE2: Fixed my own SQL statement, which probably caused no end of confusion to others.
I don't think you do want to use MAX() as you don't want to group the OrderID. What you need is an ordered sub query with a SELECT TOP 1.
select *
from Customers
inner join Orders
on Customers.CustomerID = Orders.CustomerID
and OrderID = (
SELECT TOP 1 subOrders.OrderID
FROM Orders subOrders
WHERE subOrders.CustomerID = Orders.CustomerID
ORDER BY subOrders.OrderDate DESC
)
Something like this should do it:
SELECT X.*, Y.LatestOrderId
FROM Customer X
LEFT JOIN (
SELECT A.Customer, MAX(A.OrderID) LatestOrderId
FROM Order A
JOIN (
SELECT Customer, MAX(EntryTime) MaxEntryTime FROM Order GROUP BY Customer
) B ON A.Customer = B.Customer AND A.EntryTime = B.MaxEntryTime
GROUP BY Customer
) Y ON X.Customer = Y.Customer
This assumes that two orders for the same customer may have the same EntryTime, which is why MAX(OrderID) is used in subquery Y to ensure that it only occurs once per customer. The LEFT JOIN is used because you stated you wanted to show all customers - if they haven't got any orders, then the LatestOrderId will be NULL.
Hope this helps!
--
UPDATE :-) This shows only customers with orders:
SELECT A.Customer, MAX(A.OrderID) LatestOrderId
FROM Order A
JOIN (
SELECT Customer, MAX(EntryTime) MaxEntryTime FROM Order GROUP BY Customer
) B ON A.Customer = B.Customer AND A.EntryTime = B.MaxEntryTime
GROUP BY Customer
While I see that you've already accepted an answer, I think this one is a bit more intuitive:
select a.*
,b.Id
from customer a
inner join Order b
on b.CustomerID = a.Id
where b.EntryTime = ( select max(EntryTime)
from Order
where a.Id = b.CustomerId
);
a.Id = b.CustomerId because you want the max EntryTime of all orders (in b) for the customer (a.Id).
I would have to run something like this through an execution plan to see the difference in execution, but where the TOP function is done after-the-fact and that using order by can be expensive, I believe that using max(EntryTime) would be the best way to run this.
You can use a window function.
SELECT *
FROM (SELECT a.*, b.*,
ROW_NUMBER () OVER (PARTITION BY a.ID ORDER BY b.orderdate DESC,
b.ID DESC) rn
FROM customer a, ORDER b
WHERE a.ID = b.custid)
WHERE rn = 1
For each customer (a.id) it sorts all orders and discards everything but the latest.
ORDER BY clause includes both order date and entry id, in case there are multiple orders on the same date.
Generally, window functions are much faster than any look-ups using MAX() on large number of records.
This query is much faster than the accepted answer :
SELECT c.id as customer_id,
(SELECT co.id FROM customer_order co WHERE
co.customer_id=c.id
ORDER BY some_date_column DESC limit 1) as last_order_id
FROM customer c
SELECT Cust.*, Ord.*
FROM Customers cust INNER JOIN Orders ord ON cust.ID = ord.CustID
WHERE ord.OrderID =
(SELECT MAX(OrderID) FROM Orders WHERE Orders.CustID = cust.ID)
Something like:
SELECT
a.*
FROM
Customer a
INNER JOIN Order b
ON a.OrderID = b.Id
INNER JOIN (SELECT Id, max(EntryTime) as EntryTime FROM Order b GROUP BY Id) met
ON
b.EntryTime = met.EntryTime and b.Id = met.Id
One approach that I haven't seen above yet:
SELECT
C.*,
O1.ID
FROM
dbo.Customers C
INNER JOIN dbo.Orders O1 ON
O1.CustomerID = C.ID
LEFT OUTER JOIN dbo.Orders O2 ON
O2.CustomerID = C.ID AND
O2.EntryTime > O1.EntryTime
WHERE
O2.ID IS NULL
This (as well as the other solutions I believe) assumes that no two orders for the same customer can have the exact same entry time. If that's a concern then you would have to make a choice as to what determines which one is the "latest". If that's a concern post a comment and I can expand the query if needed to account for that.
The general approach of the query is to find the order for a customer where there is not another order for the same customer with a later date. It is then the latest order by definition. This approach often gives better performance then the use of derived tables or subqueries.
A simple max and "group by" is sufficient.
select c.customer_id, max(o.order_date)
from customers c
inner join orders o on o.customer_id = c.customer_id
group by c.customer_id;
No subselect needed, which slows things down.