The database is one of the unavoidable parts of a software application nowadays. It doesn’t make a difference at all whether it is the mobile, enterprise, web, desktop, client-server, P2P or individual business; the database software is working wherever at the backend.
So also, regardless of whether it is controlling a spaceship or mailing application, finance or healthcare, retail or leasing; database software is always in action behind the scene.
Additionally, as the complication of the app increases the requirement for a more grounded and secure database rises. Similarly, for the applications with a high frequency of transactions, the need for completely featured database testing tools are coupled.
These days, we have huge information which is vast and complicated that the traditional database management system can’t deal with them.
What is Database Testing?
Database testing includes the recovered qualities from the database software by the web or desktop application. Data in the User Interface should be coordinated according to the records are stored in the database.
Types of DB test:
Relying on the structure and function of a database, DB testing can be classified into three categories−
Structural DB Test − It manages table and segment testing, schema testing, stored methodology, and perspectives testing, checking triggers, and so forth.
Functional Testing − It includes checking the functionality of the database administrator from a client perspective. Most normal sort of Functional testing is the white box and black box testing.
Non functional Testing − It includes load testing, risk testing in a database software, minimum system requirements, stress testing, and manages the database performance testing.
What to test in database design?
Guarantee data mapping:
Data mapping is one of the key angles in the database and it should be tested thoroughly by each QA tester.
Ensure that the mapping between various structures or screens of AUT and its DB isn’t just precise yet additionally per the plan records (SRS/BRS) or code. Essentially, you have to approve the mapping between each front-end field with its relating backend database field.
Guarantee ACID Properties of Transactions:
ACID properties of DB Transactions refer to the ‘Durability’, ‘Isolation’, ‘Consistency’ and ‘Atomicity’. Appropriate testing of these four properties must be finished during the testing database applications. You have to check that each and every transaction fulfills the ACID properties of the database.
Data Integrity:
This will incorporate the – Create, Retrieve, Update and Delete – CRUD activities, late update or status or any of the value in the data that is shared or should be visible on a screen or shape. Yet, it is vital to observe that the value isn’t refreshed on screen and the old value is the just a single visible. Thus, you can go up against your database test plan to guarantee to meet this point. It will incorporate data checking points that may be in better places to watch that they are the same consistently.
Rule Conformity:
This point is completely reliant on the complication of the project. At the point when the database has complication then components will likewise be complicated, for example, triggers, social requirements, and stored techniques etc. In such a case, tested need to remember various things, particularly SQL database queries that can assist you to run the complication effectively.
How to Perform Database Test Data?
While testing a database, the most vital part is the manner by which we continue with the testing procedure as it is properly said that “well started is half done.” Following steps are engaged with database testing:
Plan Test Environment:
The environment in which a client needs to perform database tests should remain solitary database or a copy of production database so real outcomes can be accomplished, and proper changes can be fused in database code.
Run a Test:
CRUD tasks can be performed on the application, and related changes can be found in the database OR execute SQL questions, stored strategies, perspectives, and triggers straightforwardly. Devise positive and negative test cases for each stored system, pass values to wanted parameters and confirm the outcomes. Additionally, each stored methodology can incorporate numerous squares or functions which must be tested exclusively.
Confirm Test Results:
It includes checking the consequences of the SQL test that we let go on the database.
Approve:
Approve if right triggers are terminated on the execution of SQL questions or stored systems related with the events, and right tables/sections are populated.
Report the Findings:
Share ‘Expected’ and ‘Actual’ results with the Business Analyst aligned to project or customer group and raise bugs whenever expected outcomes are not met.
With a high rise in the number of clients associated with the World Wide Web, the data is being stored, exchanged and examined each second, consequently, it is critical to keep up consistency and precision of data. In this manner, database testing should be given the most extreme importance.
This is nearly everything that you should know before beginning with the Database testing. In the case, you are well educated then you are ready to go.
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