In databases, there are a few different ways to describe the relationships between then set it up so that every record in the works table is linked to one museum. We've talked about relational databases already, and we've learned why Creating this One-to-Many relationship is all about your primary key. Today, there are many commercial Relational Database Management System ( RDBMS), Query Language) was developed to work with relational databases. Gather the requirements and define the objective of your database, e.g.. . To support a one-to-many relationship, we need to design two tables: a table Classes.
You might use a one-to-one relationship to divide a table with many fields, to isolate part of a table for security reasons, or to store information that applies only to a subset of the main table. One to Many A one-to-many relationship, often referred to as a "master-detail" or "parent-child" relationship.
A one-to-many relationship is the most common type of relationship.
What is a One-to-Many Relationship? - Definition from Techopedia
In a one-to-many relationship, a record in Table A can have many matching records in Table B, but a record in Table B has only one matching record in Table A. A many-to-many relationship is really two one-to-many relationships with a third table. A many-to-many relationship means that for each record in one table there can be many records in another table and for each record in the second table there can be many in the first.
Many-to-many relationships can not be directly represented in relational database programs and have to be built by using two or more one-to-many relationships. Defining relationships You define a relationship by adding the tables that you want to relate to the Relationships window, and then dragging the key field from one table and dropping it on the key field in the other table. The kind of relationship that Microsoft Access creates depends on how the related fields are defined: A one-to-many relationship is created if only one of the related fields is a primary key or has a A one-to-one relationship is created if both of the related fields are primary keys or have unique indexes.
Note If you drag a field that isn't a primary key and doesn't have a unique index to another field that isn't a primary key and doesn't have a unique index, an indeterminate relationship is created.
In queries containing tables with an indeterminate relationship, Microsoft Access displays a default join line between the tables, but referential integrity won't be enforced, and there's no guarantee that records are unique in either table. On the other hand, if we begin with a table called Classes, which stores information about a class courseCode, dayOfWeek, timeStart and timeEnd ; we could create additional columns to store information about the one teacher such as name, office, phone and email.
However, since a teacher may teach many classes, its data would be duplicated in many rows in table Classes.
To support a one-to-many relationship, we need to design two tables: We can then create the one-to-many relationship by storing the primary key of the table Teacher i. The column teacherID in the child table Classes is known as the foreign key. A foreign key of a child table is a primary key of a parent table, used to reference the parent table.
Take note that for every value in the parent table, there could be zero, one, or more rows in the child table. For every value in the child table, there is one and only one row in the parent table. Many-to-Many In a "product sales" database, a customer's order may contain one or more products; and a product can appear in many orders. In a "bookstore" database, a book is written by one or more authors; while an author may write zero or more books.
This kind of relationship is known as many-to-many.
Let's illustrate with a "product sales" database. We begin with two tables: The table products contains information about the products such as name, description and quantityInStock with productID as its primary key. The table orders contains customer's orders customerID, dateOrdered, dateRequired and status. Again, we cannot store the items ordered inside the Orders table, as we do not know how many columns to reserve for the items. We also cannot store the order information in the Products table.
To support many-to-many relationship, we need to create a third table known as a junction tablesay OrderDetails or OrderLineswhere each row represents an item of a particular order. For the OrderDetails table, the primary key consists of two columns: The many-to-many relationship is, in fact, implemented as two one-to-many relationships, with the introduction of the junction table. An order has many items in OrderDetails. An OrderDetails item belongs to one particular order.
Relational Database Design
A product may appears in many OrderDetails. Each OrderDetails item specified one product. One-to-One In a "product sales" database, a product may have optional supplementary information such as image, moreDescription and comment. Keeping them inside the Products table results in many empty spaces in those records without these optional data.
Furthermore, these large data may degrade the performance of the database.
A record will only be created for those products with optional data. The two tables, Products and ProductDetails, exhibit a one-to-one relationship. That is, for every row in the parent table, there is at most one row possibly zero in the child table. The same column productID should be used as the primary key for both tables.
Some databases limit the number of columns that can be created inside a table. You could use a one-to-one relationship to split the data into two tables. One-to-one relationship is also useful for storing certain sensitive data in a secure table, while the non-sensitive ones in the main table.
Column Data Types You need to choose an appropriate data type for each column.
Commonly data types include: Normalization Apply the so-called normalization rules to check whether your database is structurally correct and optimal. First Normal Form 1NF: A table is 1NF if every cell contains a single value, not a list of values. This properties is known as atomic. Instead, you should create another table using one-to-many relationship. Second Normal Form 2NF: A table is 2NF, if it is 1NF and every non-key column is fully dependent on the primary key. Furthermore, if the primary key is made up of several columns, every non-key column shall depend on the entire set and not part of it.
If unitPrice is dependent only on productID, it shall not be kept in the OrderDetails table but in the Products table. On the other hand, if the unitPrice is dependent on the product as well as the particular order, then it shall be kept in the OrderDetails table.
Third Normal Form 3NF: A table is 3NF, if it is 2NF and the non-key columns are independent of each others. In other words, the non-key columns are dependent on primary key, only on the primary key and nothing else. For example, suppose that we have a Products table with columns productID primary keyname and unitPrice. The column discountRate shall not belong to Products table if it is also dependent on the unitPrice, which is not part of the primary key. At times, you may decide to break some of the normalization rules, for performance reason e.
Make sure that you fully aware of it, develop programming logic to handle it, and properly document the decision. Integrity Rules You should also apply the integrity rules to check the integrity of your design: The primary key cannot contain NULL. Otherwise, it cannot uniquely identify the row. For composite key made up of several columns, none of the column can contain NULL. Each foreign key value must be matched to a primary key value in the table referenced or parent table.
You can insert a row with a foreign key in the child table only if the value exists in the parent table. If the value of the key changes in the parent table e. You could either a disallow the changes; b cascade the change or delete the records in the child tables accordingly; c set the key value in the child tables to NULL. Most RDBMS can be setup to perform the check and ensure the referential integrity, in the specified manner.
Beside the above two general integrity rules, there could be integrity validation pertaining to the business logic, e. These could be carried out in validation rule for the specific column or programming logic.