Volume testing refers to validating the performance of the application when it processes large data volumes. It is a subset of comparative load testing. The test is carried out based on the current data volume. A quality assurance team performs a different test after filling the database to correspond to the forecasted values. Volume testing can be both long-term and short-term.
Objectives of Volume Testing
- Volume testing offers developers and project stakeholders insights to predict how much data the system can process without fail.
- One of the volume testing objectives is to detect issues that only show when the data load increases higher response time, system failure, or security exploits.
- Volume tests help managers to understand if scaling up or scaling out is a suitable strategy.
- Volume testing is useful as it ensures that application performance is not disrupted. The system response speed keeps being consistently high regardless of the amount of data users share via software.
Need for volume testing
- Check machine output with increasing database volumes of data.
- To recognise the issue that is likely to arise with vast volumes of information.
- To find out the point at which the system’s reliability degrades.
- Volume testing can help to assess the device or application’s capability – normal and heavy volume.
Best practices for high volume testing
- Stop all servers and get all logs reviewed.
- The manual execution of the programme scenario before the load evaluation.
- Staggering the number of consumers with the most valuable performance.
- Align thinking time in order to resolve licence restrictions.
- Analyze the enhancement usage case after a baseline has been defined.
- In the event of an output bottleneck, a replay of specific sections of volume testing becomes inevitable.
Process of Volume Testing
- Test to verify if there is any data loss.
- Verify the system’s response time.
- Verify if the data is stored correctly or not.
- Check if the information is overwritten without any notification.
- Verify for warning and error messages, whether it comes at all for volume problems.
- Verify whether high volume data affects the speed of processing.
- Does the system have the necessary resources?
- Is the volume test executed on the whole system?
- Is there any risk if the volume is more significant than specified.
- Is there any guarantee that no data volume will occur than set?
Challenges in Volume Testing
- Populating a database is challenging if you are dealing with relational databases as they have a robust structure and dozens of adjacent tables.
- Quality assurance professionals have to deal with a wide range of data, valid, invalid, absent, boundary, or wrong.
- Volume testing deals with large data volumes as compared to other types of performance testing. Having to manage extensive data sets complicates automation and increases the amount of the workforce involved.
- It gives a clear picture of the hardware required, such as memory, CPU storage, etc. for the application’s smooth functioning.
- It reduces the risk of loss of market reputation and money.
- It helps to find bottlenecks in the application which remains uncovered during the development.
- It helps in a quick start for scalability plans.
- It assures the system is now capable of real-world usage.
- A specialized database performance testing team must carry out the Volume testing, which would cause extra costs for the project.
- A vast amount of time is wasted in carrying out the specific volume testing covering all the creating scripts, test scenarios, and executing those scripts, which could hamper the application’s release time.
- Few projects like desktop applications are handled only by few users who do not require a separate stage of the Volume of testing.
- It is impossible to create the exact fragmentation of memory used in the real world.
- An exact copy of the natural environment is complicated and tricky.
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What is the primary purpose of volume testing?
The volume testing is done to check the database performance against the large volume of data in the Database. It is done by changing the user load for the resources and verifying the resources’ account. This testing’s primary focus is on ‘data.’
How do you test volume?
If you want to volume test an application with database size, expand the database to the size by adding more data to increase the capacity, and then perform the test.