1. What is Database Testing?
Databases become more and more complex over time due to the huge amount of data stored in the software system. Through the database building process, we are able to evaluate data integrity, data validity, database performance, and the functionality that is wrapped around it.
By implementing the process, the maximum stability, efficiency, performance, and security of the database can be checked over time to ensure that the software is stable when deployed in an edge environment. painting.
2. Types of database testing
Function and structure is what determines the type of testing that must be performed on the database system. On the basis of these factors, test database can be divided into
Test Structured Database – Components of a database that are not visible to the user must be tested. Therefore, check database structure can be used. Another benefit of this type of testing is that it can be used for database validation.
Functional testing – There is a lot of functionality associated with the database from a user perspective. White box and black box tests are the types of tests used for this purpose
Non-functional testing – The risk factor of the database, requirements, performance, etc. of the database must be put into the test and it is the non-functional element of any database .
3.The steps to perform database check
Open the SQL server and then the query parser, write the query, and retrieve the data. Compare that with the expected results. Update or delete data and see how the software application performs To run a test, there is a specific procedure involved, which includes,
- Set up test environment
- validate the result with the expected result
- Report the results to stakeholders
4.Why is Database Auditing Important?
1. Data integrity
This will include activities – Create, Retrieve, Update and Delete – CRUD, recent updates or status, or any values in shared data or must be displayed on screens or forms. . By making changes to the data in BD we can check that the data on the user interface is properly updated. This checking will allow data to be checked in different places to check whether they are consistently similar or not.
2. Mapping the data
You need to understand that the data continuously moves from the user interface (UI) to the database and then back to the UI. The main aspects to keep in mind are: You need to check all the fields present in the UI and UI so that they can be consistently mapped to the corresponding table in the database. UI operations are performed in an application and the parallel CRUD joins the user interface. It is essential to check if the actions taken in the data are mapped appropriately.
3. Compliance with rules
This point completely depends on the complexity of the project. When the database is complex, the components will be as complex as triggers, relational constraints, and stored procedures, etc.In such a case, there are a few things to be tested to note. , especially SQL Queries can help you check the complexity of the DB.
4. Validate the ACID attributes
Mainly there are four properties on which Database performance depends on Atomicity – checking failed transactions to ensure the data is not wrong under these circumstances Consistency – Consistency is the result of validation of entire transactions according to the database. Isolation – Need to perform multiple transactions at the same time to check the results will be displayed continuously in turn. Durability – Durability is the factor that shows that once the data is stored, no power failures or failures can be erased.
5. Test the database
Below are the points that need to be followed in order to perform a Database audit easily
1. Create the query
To easily test databases, you need a deep knowledge of SQL and also the Data Manipulation Language. The understanding of the internal database structure is a must to test it out. When this is done, an application’s CRUD operations should be checked. This will help verify the SQL query results. You can even use a write query with the help of SQL Query Analyzer to get efficient results. The scale must have SQL knowledge otherwise it will not be possible to easily test the DB. In the case of a complex DB, the tester cannot write the queries. Therefore, developers support them to ensure that the results are not mixed up. This will not only increase test performance, but also help hone your SQL skills.
2. Observe the data
With complex databases, linking multiple tables, the implementation of CRUD operations (Create – Read – Update – Delete). Will need to check the data on the respective tables. Therefore, while performing a table check, make sure that you have the right knowledge of the structure of the table.
As mentioned above, when you are doing a check on the DB, you will ask for some queries that will use CRUD operations. However, in certain cases, when you are verifying data, it is possible that the execution is not being performed in a certain way. You can get help from your developer, who has a more in-depth knowledge of the topic. This is definitely an ideal choice for the tester to avoid as many problems as possible.
6. Difference between GUI and Database testing
|Focus on the software external interface||Must have knowledge of the business requirements|
|must understand the business requirements of the functions||master knowledge of the database|
|All functions can be tested||Can only be used to verify data-related performance|
|Not necessarily know the database information||Must grasp all information about the database: tables, fields …|