Database Testing Test Case

Database Testing Test Cases: When you’re writing code for your software, be sure to include test cases. This will help guarantee that everything is working as it should. Good database testing scenarios can make your application more dependable and easier to take care of in the future.

If you want to learn how to write better test cases for database testing, then this article is for you. You’ll find information on how to write test cases for database testing that will help ensure your security and the quality of databases.

Before writing any test cases, it is helpful to identify the scope and purpose of each one. Doing this ensures that each test case covers your code’s functionality and works as expected.

Post On:Test Case For Database Testing
Post Type:Test Case Template
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What is Database Testing In Software Testing?

Database Testing is a type of software testing that focuses on the database component of an application. It verifies the correctness of schema objects, tests data integrity and consistency, and checks responsiveness under load conditions.

How do you write test cases for database testing?

A software tester should write a separate set of database testing scenarios or test cases for database testing to ensure their test cases are independent. This will ensure that your test cases are independent and do not mix with UI-related use cases.

Database Testing Test Cases

Database Testing Test Case Example

We will write some basic tests that must be performed on a database. As a tester, you need to validate the below test:

  • Check if correct data is saved in the database upon successful page submission for Database Testing.
  • Check values for columns that are not accepted null values
  • Check for data integrity. Data should be stored in single or multiple tables based on the design.
  • Index names should be given as per the standards, e.g., IND_<Tablename>_<ColumnName>
  • Tables should have a primary key column.
  • Table columns should have description information (except for audit columns like created date, created by, etc.)
  • For every database, an add/update operation log should be added
  • Required table indexes should be created
  • Check if data is committed to the database when the operation is completed.
  • Data should be rolled back in case of failed transactions
  • Database name should be given as per the application type, i.e., test, UAT, sandbox, live (though this is not a standard, it is helpful for database maintenance)
  • Database logical names should be given according to the database name (again, this is not standard but helpful for DB maintenance)
  • Stored procedures should not be named with the prefix β€œsp_.”
  • Check values for table audit columns (like created date, created by, updated date, updated by, isdeleted, deleteddate, deletedby, etc.) are populated properly.
  • Check if input data is not truncated while saving. The field length shown to the user on a page and in the database schema should be the same.
  • Check numeric fields with minimum, maximum, and float values
  • Check numeric fields with negative values (for both acceptance and non-acceptance)
  • Check if the radio button and dropdown list options are saved correctly in the database
  • Check if database fields are designed with the correct data type and data length
  • Check if all table constraints are implemented correctly, like a Primary key, Foreign key, etc..
  • Test stored procedures and triggers with sample input data
  • Input field leading and trailing spaces should be truncated before committing data to the database
  • Null values should not be allowed for the Primary key column
  • Verify that data inserted from UI is appropriately reflected in the appropriate table.

Sample Test Cases for Database Testing

Utilizing database testing is crucial to maintaining integrity and consistency in your data. While creating test cases for database testing, be sure to take care of the following components:

  • Prepare the test environment
  • Run the test
  • Validate the actual result with the expected result
  • If there is any mismatch in actual and expected results, report the deviations.

Database testing is designed to ensure the accuracy of the database schema, tables, columns, keys, and indexes. It also tests stored procedures and triggers to ensure they work as expected. DB server validation ensures that data is not duplicated or lost during transfer or storage.

Note: The user must know much about database servers and structured query language before starting.

Database Testing Scenarios / Database Testing Test Cases

  • Check if the table is available in the database schema.
  • Check the name of the tables is followed by the naming convention.
  • Check the name of the columns as per the specification document.
  • Check the data types of the columns.
  • Check the size of the columns in the tables.
  • Check null field values accepted columns.

Conclusion:

It’s important to be as clear and concise as possible when writing test cases. Ensure your scenarios are well thought out and all steps are included. Always double-check your work to avoid any errors. These tips will help you write better test cases and improve your database testing process.

If you find any missed test cases, please drop them in the comment section to help us give quality content and help the testers.

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