Understanding CRUD Operations and How to Implement CRUD Testing via UI:
Even decades before humans were storing information in a computerized format! At that time, the mode of storage used primarily was flat file database where all data was kept in a file.
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In the early 1970s, IBM revolutionized this modus operandi by creating the first Relational Database Model that introduced the concept of “indexes”, thereby making data retrieval a breeze.
Here’s what you will gain form this article:
A Brief on CRUD Operations
Currently, the most predominant data storage mechanism is the Database, where software can create, read, update, and delete data through Queries. The advantage of having an optimally designed database and queries is that the software can respond rapidly and effectively to user requirements.
This emphasizes the significance of database testing and validation.
Graphical User Interface (GUI) responses like error notifications, success messages, etc., have always piqued the interest of most test managers. This is because GUI is the visible aspect of an application, which the users interact with. However, the importance of testing a database is equally crucial.
From my experience, I can conclusively say that while several manual testers perceive this as a daunting task, it is honestly not as overwhelming as it seems.
Today, we will delve into the aspect of black-box database functionality testing via User Interface and MySQL queries in a straightforward manner supported by easy-to-understand examples.
Why Does Database Testing Matter?
Let’s delve into some reasons why Database testing is of paramount importance.
- Data is crucial, and it needs to be stored and safeguarded appropriately.
- With the advent of new technologies and platforms, databases are becoming more complicated, elevating the probability of encountering bugs.
- Sizeable functionalities often have associativity with values stored in the database.
- Issues in the Database or queries can trigger significant performance troubles.
- To ensure Data is mapped precisely or not.
Testing a database can be performed as a unit check, black box test, white box test or gray box text.
Four Fundamental Functionalities of a Database
Software applications that lean on databases typically possess four fundamental functionalities, which will be clear from the examples delineated below.
Example 1:
Taking Facebook, the most renowned social networking platform, as an example:
- You can establish a new account
- Inspect your account details
- Modify account details
- Terminate the account
- You can create comments
- Access them
- Revise them
- Eliminate them
Example 2:
LinkedIn, a popular job search platform:
- You can create your profile
- Access it
- Edit it
- Remove it
- You can post
- Access them
- Modify them
- Eliminate them
Can you observe a commonality in actions here?
Absolutely! You interpreted it right.
The majority of these software support functionalities like creating, inspecting, revising, and eliminating, which is where the term CRUD originates from.
Explaining CRUD
In the realm of computer programming, CRUD is an abbreviation for Create, Read, Update, and Delete. These constitute the four primary functionalities of persistent storage. These functionalities are generally accomplished in software applications via forms.
- Create – Introduce an entry in the Database.
- Read or Retrieve – Single out the entry from the Database and inspect it.
- Update – Modify the entry partially or wholeheartedly.
- Delete or Destroy – Eliminate the entry.
The CRUD cycles can alter as per the requirements of the software application.
For Instance: In certain scenarios, a sales executive might create an account and the user has access to view it. However, the user may not have the privilege to edit or delete it. Conversely, the requirement could be such that the user forms his account, and the sales executive verifies and approves it. Identifying these cycles is critical from a tester’s perspective.
For each of the functionalities discussed above, a corresponding query operates in the database.
MySQL query examples for each action are given below:
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