In MySQL, a well known social database the board framework (RDBMS), data association assumes a significant part in effective data recovery and control. Two key parts utilized for putting away and accessing data are views and tables. Albeit both fill significant needs in database plan, they have particular qualities and functionalities. To ensure efficient database operations, it is essential to periodically optimize table in your SQL database.

Definition of Views: A view in MySQL is a virtual table gotten from at least one existing tables or views. It truly stores no data except for presents a custom fitted portrayal of the data present in the hidden tables. Consider a view a window through which you can notice and collaborate with a particular subset of data from the first tables. Views are made in light of predefined questions, which are executed each time the view is referred to.

Definition of Tables: Then again, a table in MySQL is an actual construction that stores data in lines and sections. Tables act as the establishment for data storage and are often made to address genuine substances or ideas. They give a long-lasting storage area to data, guaranteeing strength and ingenuity. Not at all like views, tables store data straightforwardly, making them the essential wellspring of data in a database.

Data Storage: The most essential differentiation among views and tables lies in the manner they store data. Tables store data in a persevering way, keeping up with records even after the database framework is closed down. Views, be that as it may, store no data themselves. They are progressively produced on the fly by executing an inquiry against the fundamental tables or different views. This implies that any progressions made to the first data in the tables will be reflected in the consider to be well.

Data Modification: One more significant contrast among views and tables is their capacity to change data. Tables are straightforwardly modifiable, permitting the addition, erasure, and modification of data through SQL articulations like Supplement, Erase, and UPDATE. Views, being virtual portrayals, may have specific restrictions on data modifications. By and large, you can change data in a view in the event that it compares to a solitary basic table and meets explicit standards characterized by the view’s question.

Data Complexity and Abstraction: Views give a layer of abstraction by permitting clients to interface with data without managing the hidden complexity. They empower data to be introduced in a streamlined, natural way by consolidating sifting, conglomeration, and different changes. Tables, then again, give a more clear portrayal of data. They store crude data with no implicit consistent or determined views.

Data Security and Access Control: Views are normally utilized to uphold security and access control estimates in a database framework. By conceding clients access to explicit views rather than the basic tables, you can confine the data they can see or change. This takes into account better grained control over data access authorizations. Tables, being the essential data source, don’t give similar degree of control and adaptability regarding confining access.

To ensure efficient querying, we need to regularly optimize table in our database.