This third article in the series delves into the database heartland by exploring relational database design.

One of the best ways to understand the importance of good database design is to start with an all-in-one, flat-file table design and then toss in some sample data to see what happens. By analysing the sample data, you’ll be able to identify problems caused by the initial design. You can then modify the design to eliminate the problems, test some more sample data, check for problems, and re-modify, continuing this process until you have a consistent and problem-free design.

Once you grow accustomed to the types of problems poor table design can create, hopefully you’ll be able to skip the interim steps and jump immediately to the final table design.

A sample design process

Let’s step through a sample database design process.

We’ll design a database to keep track of students’ sports activities. We’ll track each activity a student takes and the fee per semester to do that activity.

Step 1: Create an Activities table containing all the fields: student’s name, activity and cost. Because some students take more than one activity, we’ll make allowances for that and include a second activity and cost field. So our structure will be: Student, Activity 1, Cost 1, Activity 2, Cost 2

Step 2: Test the table with some sample data. When you create sample data, you should see what your table lets you get away with. For instance, nothing prevents us from entering the same name for different students, or different fees for the same activity, so do so. You should also imagine trying to ask questions about your data and getting answers back (essentially querying the data and producing reports). For example, how do I find all the students taking tennis?

Step 3: Analyse the data. In this case, we can see a glaring problem in the first field. We have two John Smiths, and there’s no way to tell them apart. We need to find a way to identify each student uniquely.

A flawed table design

Uniquely identify records

Let’s fix the glaring problem first, then examine the new results.

Step 4: Modify the design. We can identify each student uniquely by giving each one a unique ID, a new field that we add, called ID. We scrap the Student field and substitute an ID field. Note the asterisk (*) beside this field in the table below: it signals that the ID field is a key field, containing a unique value in each record. We can use that field to retrieve any specific record. When you create such a key field in a database program, the program will then prevent you from entering duplicate values in this field, safeguarding the uniqueness of each entry.

Our table structure is now: ID, Activity 1, Cost 1, Activity 2, Cost 2

While it’s easy for the computer to keep track of ID codes, it’s not so useful for humans. So we’re going to introduce a second table that lists each ID and the student it belongs to. Using a database program, we can create both table structures and then link them by the common field, ID. We’ve now turned our initial flat-file design into a relational database: a database containing multiple tables linked together by key fields. If you were using a database program that can’t handle relational databases, you’d basically be stuck with our first design and all its attendant problems. With a relational database program such as Microsoft Access or FileMaker, you can create as many tables as your data structure requires.

The Students table would normally contain each student’s first name, last name, address, age and other details, as well as the assigned ID. To keep things simple, we’ll restrict it to name and ID, and focus on the Activities table structure.

Step 5: Test the table with sample data.

Splitting the flat file into two related tables

Step 6: Analyse the data. There’s still a lot wrong with the Activities table:

  1. Wasted space. Some students don’t take a second activity, and so we’re wasting space when we store the data. It doesn’t seem much of a bother in this sample, but what if we’re dealing with thousands of records?
  2. Addition anomalies. What if #219 (we can look him up and find it’s Mark Antony) wants to do a third activity? School rules allow it, but there’s no space in this structure for another activity. We can’t add another record for Mark, as that would violate the unique key field ID, and it would also make it difficult to see all his information at once.
  3. Redundant data entry. If the tennis fees go up to $39, we have to go through every record containing tennis and modify the cost in each and every one.
  4. Querying difficulties. It’s difficult to find all people doing swimming: we have to search through Activity 1 and Activity 2 to make sure we catch them all.
  5. Redundant information. If 50 students take swimming, we have to type in both the activity and its cost each time.
  6. Inconsistent data. Notice that there are conflicting prices for swimming? Should it be $15 or $17? This happens when one record is updated and another isn’t.

Eliminate recurring fields

Our simple Students table is fine, so we’ll keep it. But there’s so much wrong with the Activities table let’s try to fix it in stages.

Step 7: Modify the design. We can fix the first four problems by creating a separate record for each activity a student takes, instead of having one record for all the activities a student takes.

First we eliminate the Activity 2 and Cost 2 fields. Then we need to adjust the table structure so we can enter multiple records for each student. To do that, we redefine the key so that it consists of two fields, ID and Activity. As each student can only take an activity once, this combination gives us a unique key for each record.

Our Activities table has now been simplified to: ID, Activity, Cost. Note how the new structure lets students take any number of activities – they’re no longer limited to two.

Step 8: Test sample data.

Eliminating recurring fields

Step 9: Analyse the data. We know we still have the problems with redundant data (activity fees repeated) and inconsistent data (what’s the correct fee for swimming?). We need to fix these things, which are both problems when it comes to data entry – editing or modifying records.

Eliminate data entry anomalies

As well, we should check that other data entry processes, such as adding or deleting records, will function correctly too.

If you look closely, you’ll find that there are potential problems when we add or delete records:

  • Insertion anomalies. What if our school introduces a new activity, such as sailing, at $50. Where can we store this information? With our current design we can’t until a student signs up for the activity.
  • Deletion anomalies. If Mark Antony (#219) transfers to another school, all the information about golf disappears from our system, as he is the only student taking this activity.

Step 10: Modify the design. The cause of all our remaining problems is that we have a non-key field (cost) which is dependent on only part of the key (activity). Check it out for yourself: The cost of each activity is not dependent on the student’s ID, which is part of our composite key (ID + Activity). The cost of tennis, for example, is $36 for each and every student who takes the sport – so the student’s ID has no bearing on the value contained in this field. The cost of an activity is purely dependent on the activity itself – it’s dependent on only part of the combined ID/activity key. This is a design no-no, and it’s causing us problems. By checking our table structures and ensuring that every non-key field is dependent on the whole key, we will eliminate the rest of our problems.

Our final design will thus contain three tables: the Students table (Student, ID), a Participants table (ID, Activity), and a modified Activities table (Activity, Cost).

If you check these tables, you’ll see that each non-key value depends on the whole key: the student name is entirely dependent on the ID; the activity cost is entirely dependent on the activity. Our new Participants table essentially forms a union of information drawn from the other two tables, and each of its fields is part of the key. The tables are linked by key fields: the Students table:ID corresponds to the Participants table:ID; the Activities table:Activity corresponds to the Participants table:Activity.

Step 11: Test sample data.

A workable design

Step 12: Analyse the results. This looks good:

  • No redundant information. You need only list each activity fee once.
  • No inconsistent data. There’s only one place where you can enter the price of each activity, so there’s no chance of creating inconsistent data. Also, if there’s a fee rise, all you need to do is update the cost in one place.
  • No insertion anomalies. You can add a new activity to the Activities table without a student signing up for it.
  • No deletion anomalies. If Mark Antony (#219) leaves, you still retain the details about the golfing activity.

Keep in mind that to simplify the process and focus on the relational aspects of designing our database structure, we’ve placed the student’s name in a single field. This is not what you’d normally do: you’d divide it into firstname, lastname (and initials) fields. Similarly, we’ve excluded other fields that you would normally store in a student table, such as date of birth, address, parents’ names and so on.

A summary of the design process

Although your ultimate design will depend on the complexity of your data, each time you design a database, make sure you do the following:

  • Break composite fields down into constituent parts. Example: Name becomes lastname and firstname.
  • Create a key field which uniquely identifies each record. You may need to create an ID field (with a lookup table that shows you the values for each ID) or use a composite key.
  • Eliminate repeating groups of fields. Example: If your table contains fields Location 1, Location 2, Location 3 containing similar data, it’s a sure warning sign.
  • Eliminate record modification problems (such as redundant or inconsistent data) and record deletion and addition problems by ensuring each non-key field depends on the entire key. To do this, create a separate table for any information that is used in multiple records, and then use a key to link these tables to one another.
  • chess_is_great

    Great tutorial for database design, one the best that I ever read.

  • Janet

    its wonderful,  i will be able to complete my job in time!

  • Dllmusic

    Great Tutorial…
    But you should add an ID field in “Activities Table” and use that ID on the “Participants Table”.

  • Skulang88

    I have a question, My Professor said to us that it is wrong to connect primary key to primary key from another table. To keep it short, he said that we cannot use ID(student table) to connect ID(Participants table), it is correct?

  • Bukhari Adnan


  • froodo

    best on-the-fly and on point database tutorial have ever read in my existence.
    Thanks a million.

  • John Lam

    This is great, I was trying to design a database for a tutorial centre and I am stuck with recurring fields (which I just found out this term reading your article), plus things I have no idea about, thanks!!!

  • Buckaroou2004

    The example given simplifies the textbook explanation. Much easier to comprehend and impliment table design. Thank you

  • Abbas

    I think it would be better to have ActivityID as Primary Key in Activities table and use ActivityID as foreign key in Participant table…

  • Gjmorrismd

    This is really great than kyou

  • Helfox2003

    nice tutorial

  • DBA

    The only reason I’m posting here is so that people DO NOT use your design. 

    This is a simple many to many relationship. 

    Your tables should look like this:StudentStudentIdFirstNameLastNameActivityActivityIdNameParticipantStudentIdActivityId

    Please DO NOT user the author’s design. It’s a terrible design.

  • DBA

    This commenting sucks.

    Student – StudentId, FirstName, LastName

    Activity – ActivityId, Name

    Participant – StudentId, ActivityId 

  • Larry021

     The author’s design is just fine.  Your design is flawed for a couple reasons.  First, what is the point of adding an activity ID to the activity table?  The activity name is already unique and is used as the key in the author’s case.  Secondly, in your design, cost of the activity is not included.  Everything suddenly becomes free, I guess.  Before you bash somebody else or try to give contradictory advise, please be sure you know what you are talking about first.

  • Beresford Davidson

    Database design, range from complexity to simplicity; this occupational activity requires the perspective input of representative user and representative developer and representative executive sponsor amongst others such as accountants. This is not a one man job. The person responsible for pulling all inputs into one application requires a secretary to just type in data design metadata. 

  • David Nitzsche-Bell

    DBA: your comments are too harsh, while I agree with the content, but remember, this is a tutorial for people who are *just learning* about databases. So, in that respect this 3rd of 3 is quite useful.

    Larry: Actually, DBA’s design is quite good, too. So he forgot to add the Cost field. Simple typo, easily fixed, but certainly not flawed.

    I typically have an ID field for every table. The ID field is 100% independent of any data in the record.

    So, I would have suggested:

    Student: ID, FirstName, LastName
    Activity: ID, Name, Cost
    Participant: ID, StudentID, ActivityID

  • well explained, thank you very much Mr

  • thnx for the time saving tutorial. . . .

  • userhelpme

    how to normalize table having columns (ID,Name,Skills,Address,Phone) using (3 tables

  • Kate Doak

    This was so so helpful. Best I’ve read!