In this article, we are going to apply SQL unit testing for the stored procedure of an SQL Server database for a recruitment service.
Unit testing is an essential component of the database DevOps process. Its primary goal is to test the constituent parts of the database objects in order to identify any malfunctions or flaws early in the project. This approach allows database developers to ensure the changes they have made are verified, and the project will work properly. In our article, we will mainly focus on unit testing a stored procedure in a SQL Server database and exemplify how simple it is to conduct unit tests with the dbForge Unit Test tool.
Previously, we discussed the process of creating a SQL Server database for a recruitment service.
Img.1. The database schema for a recruitment service
As shown above, the database contains the following entities:
Nonetheless, in the series of articles, we somehow overlooked a crucial aspect of unit testing. So now, I suggest we have a closer look at this method and exemplify it by implementing the SearchEmployee stored procedure for an employee search based on certain skills. To ensure data integrity, we should add a unique constraint on the Skill table as follows:
ALTER TABLE [dbo].[Skill] ADD CONSTRAINT UniqueSkillName UNIQUE(SkillName);
SQL stands for Structured Query Language. SQL is a scripting language expected to store, control, and inquiry information put away in social databases. The main manifestation of SQL showed up in 1974, when a gathering in IBM built up the principal model of a social database. The primary business social database was discharged by Relational Software later turning out to be Oracle.
This is part 3 of “MS SQL Server- Zero to Hero” and in this article, we will be discussing about the SCHEMAS in SQL SERVER. Before getting into this article, please consider to visit previous articles in this series from below.
Understanding various SQL Server system databases and their roles is an excellent aid for managing your SQL Server instance.
The article provides a thorough guide to SQL Server graph databases with their advantages and downsides, cases of use and useful comparisons. Would SQL Server graph database features fit your next project? While you may not know the definitive answer right now, you might be wondering, “What problems does it solve?”.
Data Quality Testing Skills Needed For Data Integration Projects. Data integration projects fail for many reasons. Risks can be mitigated when well-trained testers deliver support. Here are some recommended testing skills.