As we realize that Database is utilized as a part of each application where client data should be stored. Thus, the database automation testing is one of the inescapable parts of a software application nowadays.
It doesn’t make a difference at all whether it’s the web, work area or mobile, customer server or peer to peer, undertaking or individual business; the database is working wherever at the backend. So also, regardless of whether it is finance or healthcare, renting or retail, mailing application or controlling a spaceship; a database is dependably in real life behind the scene.
For instance an E-commerce site. All of the products which are recorded on the screen are put away at back-end with complete data, for example, product accessibility, payment details, and so on.
In this way, at whatever point any action is performed on a UI, for example, somebody orders something on this online business webpage then the condition of this product in the database gets changed. It might happen that there was a single product which client has requested and now it ends up out of stock. This data will get refreshed in the database first and afterward, it will be reflected in the UI.
Moreover, with expanding data complexities, heterogeneous conditions and information sizes in terabytes, it is extremely hard to frame a testing technique in view of manual testing. In these cases, database testing automation can help perform data approval, pattern confirmation, database health check, security checks, and so on.
It helps in playing out the correct data checks in ideal time allotment and under budget. But, to guarantee there are no database crashes, failovers, broken inclusions or cancellations, one needs to make a sound database automation testing technique. This can be accomplished by following the below mentioned right steps.
Recognizable proof of Scope
The main thing is to distinguish what should be covered in database testing, what can be barred, and which all data sets are affecting the application execution most. Relying on this recognizable proof, viewpoints like data confirmation, composition check, wellbeing checks, database rule checks, security checks and significantly more can be clubbed together in the scope of database testing.
Make your own particular Queries
To test the DB appropriately and precisely, initial, a tester should have good knowledge of SQL and uniquely Data Manipulation Language proclamations. Also, the tester should gain a good understanding of internal DB structure of AUT. In the event that these two pre-requirements are satisfied, at that point, the tester is prepared to test DB with full certainty.
He will play out any CRUD task from the UI of utilization and will check the outcome utilizing SQL inquiry. If you are utilizing SQL server then you can influence utilization of SQL to inquiry tester for composing inquiries, executing them and recovering outcomes.
This is the best and powerful method for database testing software particularly for applications with a small to medium level of intricacy. However, the two pre-essentials depicted are fundamental. Something else, thusly of QA database testing can’t be adopted by the tester.
Test Cases Identification
This progression is to recognize the priority test cases for database testing with the question of inquiry or question to already stored data. It expects you to make needful bunches if there are colossal data sets. While recognizing these test cases, ensure they are sufficiently adaptable so that for a couple of test cases, database software testing can be performed at a conceptual level while others should be possible till push level examination.
In this progression, you have to execute scripts that you have arranged or change them to execute of course. You can include needful restrictive streams, circle around to utilize a similar case for different arrangements of information and make them more robust. While execution, additionally ensures you consider the test condition to get precise test outcomes.
Once the execution is finished, monitor the result of the execution. You can delve into the point by point examination and produce reports for directors and engineers to take important activities. Further, you can also make an arrangement to store the reports in the configuration of decision for facilitating assessment and investigation.
Post Execution Monitoring
Post the execution and detailing, screen the test results to recognize the patterns and make fundamental changes and fixes to the test scripts. This can be executed as a persistent movement to close on some specific example of the defect.
Test Script Reuse
Post the unit execution; you can additionally reuse the test script for regression test execution. In this stage, you can really utilize the changed code. In any case that possible, you can also put test cases for booked execution to give you the adaptability to run it in the desired time.
Cross-checking with UI Testing Report
Finally, cross-check the automated database testing outcomes with UI testing and avow the discoveries made by two separate channels to take additionally activities.
So, database automation testing of an application requests sharp consideration great SQL aptitudes, legitimate learning of DB structure of AUT and appropriate preparing.
To have the sure test report of this action, this testing of the database should be assigned to an asset with all the four characteristics expressed previously. Otherwise, shipment time shocks, bugs recognizable proof by the customer, dishonorable or unintended application’s behavior or even wrong outputs of business-basic assignments will probably be watched.
Thus, complete this automated testing database assignment with TestOrigen at most reasonable resources and pay it the merited consideration.