4_Primary_key_method_l2_v1
Оценка 4.7

4_Primary_key_method_l2_v1

Оценка 4.7
docx
09.05.2020
4_Primary_key_method_l2_v1
4_Primary_key_method_l2_v1.docx

The primary key concept is critical to an efficient relational database. Without the primary key and closely related foreign key concepts, relational databases would not work.

Almost all individuals deal with primary keys frequently but unknowingly in everyday life. For example, students are routinely assigned unique identification (ID) numbers, and all U.S. citizens have government-assigned and uniquely identifiable Social Security numbers.

For example, a database must hold all of the data stored by a commercial bank. Two of the database tables include the CUSTOMER_MASTER, which stores basic and static customer data (name, date of birth, address, Social Security number, etc.) and the ACCOUNTS_MASTER, which stores various bank account data (account creation date, account type, withdrawal limits or corresponding account information, etc.).

To uniquely identify customers, a column or combination of columns is selected to guarantee that two customers never have the same unique value. Thus, certain columns are immediately eliminated, e.g., surname and date of birth. A good primary key candidate is the column that is designated to hold Social Security numbers. However, some account holders may not have Social Security numbers, so this column’s candidacy is eliminated. The next logical option is to use a combination of columns, such as adding the surname to the date of birth to the email address, resulting in a long and cumbersome primary key.

The best option is to create a separate primary key in a new column named CUSTOMER_ID. Then, the database automatically generates a unique number each time a customer is added, guaranteeing unique identification. As this key is created, the column is designated as the primary key within the SQL script that creates the table, and all null values are automatically rejected.

The account number associated with each CUSTOMER_ID allows for the secure handling of customer queries and also demonstrates why primary keys offer the fastest method of data searching within tables. For example, a customer may be asked to provide his surname when conducting a bank query. A common surname (such as Smith) query is likely to return multiple results. When querying data, utilizing the primary key uniqueness feature guarantees one result.


 

The primary key concept is critical to an efficient relational database

The primary key concept is critical to an efficient relational database
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