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A surrogate key architecture

Contributor Brian Walker offers a surrogate key architectur that will allow you to perform many powerful operations on the database schema or the data itself.

The rules for this proposed architecture are quite simple. Here they are in a loose order of importance (with 1 being the most important):

1. Every table has a primary key
2. The primary key is a single column.
3. The primary key is the first column.
4. The primary key column is named to correspond with the table name.
5. The primary key migrates to child tables as a foreign key with the same characteristics.
6. The primary key column is numeric.
7. The primary key column is a 4-byte integer data type.
8. The primary key column uses the IDENTITY property (starting at 1 and incrementing by 1).

I know, I know, some purists will complain about rule 3. They will say there's no such thing as column order in Relational Theory. In theory, there is no order. In practice, there is an order to the columns. It appears that the vast majority of databases using surrogate keys already follow rule 3, so all I have done is document current practice.

Perhaps the best way to describe this surrogate key architecture is with an example database. The simplistic table definitions below are intended to serve as examples of the rules listed above. They are not intended to represent a realistic model for any particular business.


Database diagram

  CREATE TABLE dbo.Region
     (RegionID                                int IDENTITY(1,1),
      RegionCode                         char( 2) NOT NULL,
      RegionName                      varchar(40) NOT NULL,
      Representative                  varchar(40) NOT NULL)

  CREATE TABLE dbo.Customer
     (CustomerID                              int IDENTITY(1,1),
      RegionID                                int NOT NULL,
      Name                            varchar(80) NOT NULL,
      Address                         varchar(80) NOT NULL,
      Phone                           varchar(20) NOT NULL)

  CREATE TABLE dbo.Vendor
     (VendorID                                int IDENTITY(1,1),
      Name                            varchar(80) NOT NULL,
      Address                         varchar(80) NOT NULL,
      Phone                           varchar(20) NOT NULL)

  CREATE TABLE dbo.Product
     (ProductID                               int IDENTITY(1,1),
      VendorID                                int NOT NULL,
      Description                     varchar(80) NOT NULL,
      WholesaleCost                  decimal(7,2) NOT NULL,
      RetailPrice                    decimal(7,2) NOT NULL)

  CREATE TABLE dbo.Purchase
     (PurchaseID                              int IDENTITY(1,1),
      CustomerID                              int NOT NULL,
      OrderNumber                             int NOT NULL,
      OrderDate                     smalldatetime NOT NULL)

  CREATE TABLE dbo.PurchaseItem
     (PurchaseItemID                          int IDENTITY(1,1),
      PurchaseID                              int NOT NULL,
      ProductID                               int NOT NULL,
      Quantity                           smallint NOT NULL,
      LineNumber                         smallint NOT NULL)

  CREATE TABLE dbo.Shipment
     (ShipmentID                              int IDENTITY(1,1),
      Carrier                         varchar(20) NOT NULL,
      TrackingNumber                  varchar(20) NOT NULL,
      ShipDate                      smalldatetime NOT NULL)

  CREATE TABLE dbo.PurchaseItemShipment
     (PurchaseItemShipmentID                  int IDENTITY(1,1),
      PurchaseItemID                          int NOT NULL,
      ShipmentID                              int NOT NULL)

  CREATE TABLE dbo.Payment
     (PaymentID                               int IDENTITY(1,1),
      PurchaseID                              int NOT NULL,
      Method                          varchar(20) NOT NULL,
      Amount                         decimal(7,2) NOT NULL)

You may notice that the Region table and the PurchaseItemShipment table each have an IDENTITY column that will become the primary key. Some would consider an IDENTITY column to be excessive in such tables. The RegionCode column could be the primary key for the Region table. The PurchaseItemID column and the ShipmentID column could form a composite primary key for the PurchaseItemShipment table. It's hard to argue against the point from a pure performance perspective. However, a main objective with this architecture is consistency and I'm willing to sacrifice an insignificant amount of performance to achieve it. In order to remain very consistent this example database follows all eight rules above. The rules are universally applied to every table, including tables such as Region and PurchaseItemShipment. I believe the benefits of consistency far outweigh the costs and this tip will try to demonstrate some of the benefits.

You may notice that these table definitions do not include a primary key declaration. That's where the support tools come into play. Because these tables follow a consistent architecture, and do so universally, it's easy to create tools that allow you to implement declarative referential integrity (DRI) for the entire database with two stored procedure calls. I have provided the stored procedures here.


A surrogate key architecture for powerful database operations


ABOUT THE AUTHOR:
Brian Walker is a senior database architect in an IS department that uses SQL Server 2000 and the .NET Framework. He has more than 25 years of experience in the IT industry with the last several years focused on databases and SQL Server. Walker is a software developer, database developer, database administrator and database consultant. He develops utility software as a hobby, including a large collection of SQL Server utilities.
Copyright 2006 TechTarget

This was last published in January 2006

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