Database Design

External Article

Look-up Tables in SQL

  • Article

Lookup tables can be a force for good in a relational database. Whereas the 'One True Lookup Table' remains a classic of bad database design, an auxiliary table that holds static data, and is used to lookup values, still has powerful magic. Joe Celko explains....

2011-03-04

7,435 reads

Technical Article

SQL Server: Natural Key Versus Surrogate Key

  • Article

When designing a database to support applications you need to consider how you are going to handle primary keys. This article explores natural and surrogate keys, and discusses the pros and cons of each, allowing you to determine what makes the best sense in your environment when you are designing your databases.

★ ★ ★ ★ ★ ★ ★ ★ ★ ★

You rated this post out of 5. Change rating

2011-02-15

5,434 reads

Stairway to Database Design

Stairway to Database Design

  • Stairway

New to the task of designing and creating a database? Joe Celko, who is one of the most widely read of all writers about SQL, explains the basics. As usual, he comes up with the occasional surprise for even the most seasoned database professional. Joe was the winner of the DBMS Magazine Reader's Choice Award four consecutive years. He has taught SQL in the US, UK, the Nordic countries, South America and Africa.
He served 10 years on ANSI/ISO SQL Standards Committee and contributed to the SQL-89 and SQL-92 Standards.

★ ★ ★ ★ ★ ★ ★ ★ ★ ★

(2)

You rated this post out of 5. Change rating

2011-02-17 (first published: )

10,784 reads

External Article

The DIS-Information Principle: A Splitting Headache

  • Article

You can easily re-factor bad DML code, but if a database design is wrong, you can do little to rescue the problem, even with expert queries. So what constitutes 'wrong RDBMS design? What are these errors that continually crop up? How can you recognise them and fix them? Joe embarks on a new series of articles by identifying a series of bad practices based on the habit of 'splitting' that which shouldn't be split.

2010-09-08

2,767 reads

Technical Article

Making your database changes backward compatible: Changing a relationship

  • Article

Let's face it: requirements change. There is usually a lot of churn during the design and initial development stages, but changes can happen to mature applications, too. The key is to introduce those changes with the least amount of effort and risk.

★ ★ ★ ★ ★ ★ ★ ★ ★ ★

You rated this post out of 5. Change rating

2010-08-02

2,585 reads

Blogs

10 Decisions to Make Before You Create A Fabric Workspace

By

Creating a Fabric workspace takes about 30 seconds. Restructuring workspaces after people have built...

Flyway Tips: Object History

By

It’s a small change, but a handy one. Flyway Desktop (FWD) now includes the...

Car Update September 2026

By

Software is hard. While I love our Lucid Gravity, I realize that they are...

Read the latest Blogs

Forums

Adding new column with DEFAULT II

By Thomas Franz

Comments posted to this topic are about the item Adding new column with DEFAULT...

Advanced Deployment Scenarios: Stairway to Reliable Database Deployments Level 7

By Massimo Preitano

Comments posted to this topic are about the item Advanced Deployment Scenarios: Stairway to...

You Need a DBA Pipeline

By Steve Jones - SSC Editor

Comments posted to this topic are about the item You Need a DBA Pipeline

Visit the forum

Question of the Day

Adding new column with DEFAULT II

Which number did the two COUNT(*) return:

DROP TABLE IF EXISTS #tmp
CREATE TABLE #tmp (id INT NOT NULL)

INSERT INTO #tmp (id) 
SELECT gs.value
  FROM GENERATE_SERIES(1, 5) AS gs

ALTER TABLE #tmp ADD my_value INT NOT NULL CONSTRAINT df_tmp_my_value DEFAULT 1

SELECT COUNT(*)  FROM #tmp AS t WHERE my_value = 1

ALTER TABLE #tmp DROP CONSTRAINT df_tmp_my_value

ALTER TABLE #tmp ADD CONSTRAINT df_tmp_my_value DEFAULT 2 FOR my_value

SELECT COUNT(*)  FROM #tmp AS t WHERE my_value = 1

See possible answers