Sql – the purpose of constraint naming

constraintsdatabasenamingsql

What is the purpose of naming your constraints (unique, primary key, foreign key)?

Say I have a table which is using natural keys as a primary key:

CREATE TABLE Order
(
    LoginName        VARCHAR(50)    NOT NULL,
    ProductName      VARCHAR(50)    NOT NULL,
    NumberOrdered    INT            NOT NULL,
    OrderDateTime    DATETIME       NOT NULL,
    PRIMARY KEY(LoginName, OrderDateTime)
);

What benefits (if any) does naming my PK bring?

Eg.
Replace:

    PRIMARY KEY(LoginName, OrderDateTime)

With:

    CONSTRAINT Order_PK PRIMARY KEY(LoginName, OrderDateTime)

Sorry if my data model is not the best, I'm new to this!

Best Answer

Here's some pretty basic reasons.

(1) If a query (insert, update, delete) violates a constraint, SQL will generate an error message that will contain the constraint name. If the constraint name is clear and descriptive, the error message will be easier to understand; if the constraint name is a random guid-based name, it's a lot less clear. Particulary for end-users, who will (ok, might) phone you up and ask what "FK__B__B_COL1__75435199" means.

(2) If a constraint needs to be modified in the future (yes, it happens), it's very hard to do if you don't know what it's named. (ALTER TABLE MyTable drop CONSTRAINT um...) And if you create more than one instance of the database "from scratch" and use system-generated default names, no two names will ever match.

(3) If the person who gets to support your code (aka a DBA) has to waste a lot of pointless time dealing with case (1) or case (2) at 3am on Sunday, they're quite probably in a position to identify where the code came from and be able to react accordingly.

Related Solutions

Sql – the difference between “INNER JOIN” and “OUTER JOIN”

Assuming you're joining on columns with no duplicates, which is a very common case:

An inner join of A and B gives the result of A intersect B, i.e. the inner part of a Venn diagram intersection.
An outer join of A and B gives the results of A union B, i.e. the outer parts of a Venn diagram union.

Examples

Suppose you have two tables, with a single column each, and data as follows:

Note that (1,2) are unique to A, (3,4) are common, and (5,6) are unique to B.

Inner join

An inner join using either of the equivalent queries gives the intersection of the two tables, i.e. the two rows they have in common.

select * from a INNER JOIN b on a.a = b.b;
select a.*, b.*  from a,b where a.a = b.b;

a | b
--+--
3 | 3
4 | 4

Left outer join

A left outer join will give all rows in A, plus any common rows in B.

select * from a LEFT OUTER JOIN b on a.a = b.b;
select a.*, b.*  from a,b where a.a = b.b(+);

a |  b
--+-----
1 | null
2 | null
3 |    3
4 |    4

Right outer join

A right outer join will give all rows in B, plus any common rows in A.

select * from a RIGHT OUTER JOIN b on a.a = b.b;
select a.*, b.*  from a,b where a.a(+) = b.b;

a    |  b
-----+----
3    |  3
4    |  4
null |  5
null |  6

Full outer join

A full outer join will give you the union of A and B, i.e. all the rows in A and all the rows in B. If something in A doesn't have a corresponding datum in B, then the B portion is null, and vice versa.

select * from a FULL OUTER JOIN b on a.a = b.b;

 a   |  b
-----+-----
   1 | null
   2 | null
   3 |    3
   4 |    4
null |    6
null |    5

Sql – the difference between UNION and UNION ALL

UNION removes duplicate records (where all columns in the results are the same), UNION ALL does not.

There is a performance hit when using UNION instead of UNION ALL, since the database server must do additional work to remove the duplicate rows, but usually you do not want the duplicates (especially when developing reports).

To identify duplicates, records must be comparable types as well as compatible types. This will depend on the SQL system. For example the system may truncate all long text fields to make short text fields for comparison (MS Jet), or may refuse to compare binary fields (ORACLE)

UNION Example:

SELECT 'foo' AS bar UNION SELECT 'foo' AS bar

Result:

+-----+
| bar |
+-----+
| foo |
+-----+
1 row in set (0.00 sec)

UNION ALL example:

SELECT 'foo' AS bar UNION ALL SELECT 'foo' AS bar