1.第一范式(1NF):
没有任何重复列或数据组的实体可以称为“第一范数”。 1NF是第一范式,它为规范化关系数据库提供了最低限度的要求。符合1NF的表可确保它实际上表示一种关系(即,它不包含任何重复的记录),但是没有1NF的通用定义。一个重要的属性是,符合1NF的表不能包含任何具有关系值的属性,即所有属性都应具有原子值。
要遵循的一些规则是:
- 应该为表中的每个属性指定一个唯一的名称。
- 它不应包含任何复合属性。
例子 :
ROLL NUMBER | STUDENT NAME | MARKS |
---|---|---|
1 | Arpit | 78 |
2 | Ayush | 68 |
3 | Arjun | 89 |
由于此关系不包含任何复合或多值属性,因此该关系为1NF。
2.第三范式(3NF):
这意味着如果表/实体已经处于第二范式并且该表/实体的列非传递性地依赖于主键,则该表被认为是第三范式。
如果存在传递依赖项,我们可以通过将属性与一个行列式副本一起放置在新的关系中,从而从该关系中删除该传递依赖项属性。大多数3NF表都没有插入,更新和删除操作异常。 3NF用于减少数据重复并获得数据完整性。
示例:考虑关系R(E,F,G,H,I)
E -> FG,
GH -> I,
F -> H,
I -> E
上述关系中所有可能的候选键为{E,I,GH,FG}所有属性在所有功能依赖项的右侧,都是素数。
1NF和3NF之间的区别:
S.No. | 1NF | 3NF |
---|---|---|
1. | In order to be in 1NF any relation must be atomic and should not contain any composite or multi-valued attributes. | In order to be in 3NF there should be no transitive dependency that is no non prime attribute should be transitively dependent on the candidate key. |
2. | The functional dependency is not necessary for first normal form. | In 3NF the functional dependencies are already in 1NF and 2NF. |
3. | 1NF is considered less stronger normal form. | 3NF is considered as a stronger normal form than the 1NF. |
4. | 1NF contains candidate keys which automatically comply with 2NF. | 3NF form will require decomposing a table that is in the 2NF or 1NF. |
5. | It eliminate duplicate columns from the same table. | It remove columns that are not dependent upon the primary key. |
6. | It take less computational time. | It takes more computational time. |
7. | The goal of the first normal form is to ensure that there are no repeating groups of data. | The goal of the third normal form is to ensure referential integrity. |
8. | There are No Composite Attributes. | There are No Transitive Functional Dependencies. |