I have three tables:
I want to select all orders, no matter if they have a customer or not, and if they have a customer then also the customer's company name.
If I use this query...
SELECT Orders.OrderId, Customers.CustomerId, Companies.Name
FROM Orders
LEFT OUTER JOIN Customers
ON Orders.CustomerId = Customers.CustomerId
INNER JOIN Companies
OM Customers.CompanyId = Companies.CompanyId
...it only returns the orders that have a customer. If I replace INNER JOIN
by LEFT OUTER JOIN
...
SELECT Orders.OrderId, Customers.CustomerId, Companies.Name
FROM Orders
LEFT OUTER JOIN Customers
ON Orders.CustomerId = Customers.CustomerId
LEFT OUTER JOIN Companies
OM Customers.CompanyId = Companies.CompanyId
...it works but I don't understand why this is necessary because the relationship between Customers
and Companies
is required: A customer must have a company.
An alternative approach which works as well seems to be:
SELECT Orders.OrderId, Customers.CustomerId, Companies.Name
FROM Companies
INNER JOIN Customers
ON Companies.CompanyId = Customers.CompanyId
RIGHT OUTER JOIN Orders
OM Customers.CustomerId Orders.CustomerId
This query has the number of inner and outer joins that I expect but the problem is that it is hard to read for me because I have my query as a query of orders in mind where an order is the "root" of the selection and not the company. Also the usage of RIGHT OUTER JOIN
is rather unfamiliar to me.
The last query is a small part of a query generated by the designer for SQL Server Reporting Services Reports. I am trying to write the query manually without the designer surface because it is very overcrowded and I'm having problems to maintain the query after many changes and more changes are expected in the future. So, I want to give the query a readable structure somehow.
Questions:
You either have to use two LEFT joins and filter out the records you don't want, or alternatively use a View to scope the INNER JOIN. Save this answer. Show activity on this post. Yes you can do both is the same query, and yes the order is important.
There are different types of joins available in SQL: INNER JOIN: returns rows when there is a match in both tables. LEFT JOIN: returns all rows from the left table, even if there are no matches in the right table. RIGHT JOIN: returns all rows from the right table, even if there are no matches in the left table.
Generally, we use INNER JOIN when we want to select only rows that match an ON condition. If no rows match the ON condition, then it will not return any results. This can be somewhat stricter than using a LEFT JOIN .
Semantically, joins are processed in the order they appear in the from
clause. (They may not be actually executed in this order due to SQL optimizations, but the ordering is important for defining the result set.)
So, when you do:
from orders left outer join customers inner join companies
(I'm leaving out the on
clauses which are a distraction for this purpose.)
The SQL is interpreted as:
from (orders left outer join customers) inner join companies
You are doing an inner join
, so the values must appear on both sides. In your case, this undoes the effect of the left outer join
.
You want:
from orders left outer join (customers inner join companies)
Here are some solutions.
My preferred solution is to use left outer join
for all the joins. In fact, for readability and maintainability, almost every query I write is going to be only left outer join
or [inner] join
connecting the tables. Having to parse through the query to understand the semantics of the joins seems to be an unnecessary effort, if you can write the queries in a consistent form.
Another solution is to use parentheses:
from orders left outer join (customers inner join companies)
Another solution is a subquery:
from orders left outer join (select . . . from customers inner join companies) cc
INNER JOIN
on Customers, the LEFT JOIN
is effectively an INNER JOIN
.RIGHT JOIN
s in general as it is confusing to some developers and is therefore less readable. You can generally write your query in such a way to do the same thing with effective use of LEFT JOIN
s.OUTER JOIN
into your query, the JOIN
s that follow should also be OUTER JOIN
s. Otherwise, you MAY exclude rows you did not intend.If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
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