Database Testing Syllabus

Database Testing Syllabus. Introduction to Databases, Basic SQL, Types of Database Testing, Database Testing Life Cycle, and Database Test scenarios.

Database Testing is a type of software testing that checks the schema, tables, triggers, etc. of the Database under test. It also checks data integrity and consistency.

Database Testing ca be done in two ways, one Testing Databases Manually, and Testing Databases using Test Tools.

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Database Testing Syllabus

1. Database Concepts

  • Introduction to Databases
  • GUI Testing vs Database Testing
  • Life Cycle of Database Testing

2. Basic SQL

  • SQL Syntax
  • SQL Data Types
  • SQL Operators
  • Data Definition Language
  • Data Manipulation Language
  • Data Control Language
  • SQL Functions
  • SQL Queries and Sub Queries
  • SQL Clauses
  • SQL Joins
  • SQL Views
  • SQL Indexes
  • SQL Transactions
  • SQL Injection

3. Types of Database Testing

  • Structural Database Testing
  • Functional Testing
  • Nonfunctional Testing

4.Database Testing Processes

5. Database Testing Techniques

  • Database Schema Testing
  • Stored Procedure Tests
  • Trigger Tests
  • Server Setup Scripts
  • Functional Testing Method
  • Stress Testing
  • Benchmark Testing
  • Testing a Database via Front-end

6. Database Testing – Objects

  • Schema
  • Tables in Database
  • Stored Procedures
  • Triggers

7. Database Testing – Data Integrity

8. Database Testing – Data Mapping

  • Key Aspects of Data Mapping
  • Steps in Data Mapping Testing

9. Database Testing – Performance

  • Load Testing
  • Stress Testing
  • Spike Testing
  • Data Volume Testing

10. Database Testing – Database Backup

11. Database Testing – Data Recovery

12. Database Testing – Data Security

13. Types of Threats on a Database System

14. Database Security Testing Techniques

15. Database Testing Challenges

Functional Database Tester Job Responsibilities:

  • Identifying Database Test Scenarios
  • Connecting to Database and Data Retrieval Operations
  • Verifying Data Integrity
  • Verifying Data Manipulation Operations (Addition, Modification and Deletion)
  • Data Comparisons (Front-end Data with Back-end, Database data with Excel file data etc..)
  • Verifying Data Back-up and Recovery Operations
  • Verifying Stored Procedures
  • Verifying the Data Processing

Functional Database Testing Scenarios:

  • Verify that data inserted from UI is reflecting properly in the appropriate table.
  • Check values for columns which are not accepting null values
  • Check if correct data is getting saved in the database upon successful page submit.
  • Check for data integrity. Data should be stored in single or multiple tables based on design.
  • Index names should be given as per the standards.
  • Tables should have a primary key column.
  • Table columns should have description information available.
  • Required table indexes should be created.
  • Check if data is committed to the database only 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.
  • Database logical names should be given according to database name.
  • Check values for table audit columns.
  • Check if input data is not truncated while saving.
  • Check numeric fields with minimum, maximum, and float values.
  • Check numeric fields with negative values.
  • Check if 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 like a Primary key, Foreign key, etc. are implemented correctly
  • 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

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