Summary:

Ensuring the accuracy and coherence of our data is crucial for effectively managing information. Data validations play a vital role in achieving this goal. In this article, we will explore how Python, in combination with the PyMysql library and the Pytest test automation framework, can be used to validate data directly from a MySQL database. This approach enables us to effortlessly confirm that our data adheres to the predefined rules we have established. Data validations are indispensable for maintaining the dependability and integrity of information stored in databases. Leveraging Pymysql, we can establish connections with databases, perform CRUD operations by executing queries, retrieve data, and conduct necessary checks to maintain data quality.

Pymysql Library:

Pymysql is a module/library that provides an interface to a MySQL database server. Using this library, we can interact with databases and perform tasks such as connecting to databases and running queries.

Key Features of Pymysql Library:

1. Compatibility: PyMysql is designed to be compatible with the Python DB API specification, making it easy to use for developers familiar with Python’s database interface standards.
2. Open Source:PyMysql is an open-source project, which means it is freely available for anyone to use, modify, and distribute. This makes it accessible to a wide range of developers and projects.
3. Pure Python: PyMysql is implemented in pure Python, which means it does not have any dependencies on external libraries or C extensions. This makes it easy to install and use across different platforms without worrying about compatibility issues.
4. Performance:While PyMysql is implemented in Python, it is designed to be efficient and performant, providing good performance for most use cases. It also supports connection pooling to improve performance in applications with high concurrency.

Data validation using Pytest test automation framework:

1. Setting Up the Environment: Before diving into data validations, it’s essential to set up the necessary environment. Ensure that Python is installed on your system, along with the required packages such as PyMysql. You can install it using pip

pip install pymysql

2. Connecting to the MySQL Database: The first step is establishing a connection to the MySQL database using Python. This involves providing the necessary credentials and connection details.

3. Methods for data validations: Second step to create methods to perform CRUD operations on database and these methods will be used in test cases.

Read data

Insert, update, and delete data

4. Performing Data Validations by developing test cases:Once connected to the database, you can execute SQL queries to perform data validations based on your specific requirements. Here are a few examples of common data validations:

Test case for insert data

Test case for verifying previously inserted data and perform validations

Test case for updating previously inserted data and perform validations

Test case for deleting previously inserted and updated data

Test case for checking null values

Test case for checking data type

5. Execution command for execute and generate allure report-

Execute test case using  pytest

Serve allure report

Allure report

Report 1

Report 2