Database Testing – Appropriate Tools for Testing and Procedures to Follow

 

Testing your enterprise database is very important and has gained a lot of importance lately as databases are considered the backbone of any enterprise application or website. To implement and run a functional database, you need to know the major aspects of database testing, which many organizations fail to do as a default activity. This article will discuss the relevance of database testing and the major tools and strategies used for the same.

 

Data mapping in database testing

Data mapping in the checklist of database testing is important while running testing activities manually. It is important to know about data mapping before initiating any testing procedures. In software applications, all information is conjunct at the user interfaces and get into the backend database and vice versa. In this cycle, there are many facets to look for if you want to ensure database security.

 

Firstly, make sure that all the front-end UI fields are mapped with the corresponding apt fields of the database table. Specific data mapping guidelines may be made available in the database requirement records. When a specific user action occurs at the application front end, a subsequent CRUD (create, retrieve, update, or delete) operation is evoked at the backend database. This has to be mapped and done in the desired manner to ensure appropriate results. A tester here needs to validate the right action with the right input. Testing should verify whether the right action gets invoked and the output of this invocation is proper or not. 

 

Checklist for database testing

The first thing to consider while thinking of database testing is ACID testing of the database to ensure the fundamental database characteristics of atomicity, consistency, isolation, and durability (ACID characteristics).

 

  • Atomicity

 

When there is a query raised against a database, the query needs to be executed and passed back in its entirety. In other words, if you request for retrieving all kinds of dogs in a database of animals, then you must get the list of all dogs, not cats, without missing any single dog entry. If the trailers use a petition, then the query's conclusion must go back correct with an assortment of dogs with the animal database.

 

  • Consistency

 

Each query you raise must pull back consistent results on valid data stores each time you raise it. If two identical query searches revert with two different results during testing, the database is deemed inconsistent.

 

  • Isolation

 

All the queries needed to be isolated from one another. Databases may get various queries from different users running at the same time. So, one such query should not affect another one. Otherwise, the system will not work properly.

 

  • Durability

 

Durability ensures that the stored data is not getting manipulated by any external factors once it occurs. It may be bad if you have a server that houses the database, faces a powerful outage, and all the data in it gets vanished.

 

For ensuring ACID compliance of your enterprise database, you may conduct a third-party audit by the expert providers like RemoteDBA.

 

Data integrity in manual testing

 

For any CRUD operations, the most recent and updated data must appear on all the forms and screens. The value must not be left updated on one screen when another screen is showing the older version. Let us explore various aspects of CRUD compliance.

 

  • C means Create when a user saves a new piece of the transaction.

  • R for Retrieve, which is executed when a user views the search for any save transactions.

  • U means Update when the user tries to modify or edit an existing piece of data or record.

  • D for Delete is executed when the user tries to remove an existing record from the system.

 

The database testers go through the database testing checklists and various design documents. Tables, dataflows, joins, and data types all impart more insights to the testers for devising a foolproof testing plan. They have more test cases and test scenarios to plan through this approach with which they can better test the DBMS and database applications. Those bugs which are difficult to find at the basic front-end testing can be found only through thorough database testing.

 

Database testing through automation - selenium

 

You should know Database Schemes in the testing checklist before initiating a Selenium test. The database schema is a formal definition of the organization of data inside the given database. To test this, you need to identify the database's fundamental requirements on which the DB and database applications operate. Some samples of such standard database requirements are:

 

  • Create primary keys before any other fields.

  • The foreign keys must be indexed completely for quick search and easy retrieval.

  • Field names that start or end with specific characters.

  • Fields with some constraints as certain values can be and cannot be inserted.

 

When some events occur in some tables, a unique code can be automatically triggered to execute an action.

 

Validating results with SQL query

 

It is quite simple to check for the default values of certain fields while testing. This is done as a part of the business rule validations. It can be done manually, or you may use testing tools like QTP for the same. When done manually, you may try to initiate an action that will add value other than the given field's default value from the front and see the results. Ideally:

 

  • Data types of individual table columns must be compliant with the design document specifications.

  • Table columns must be pointing to right fields at the front-end.

 

You must test data insertion, data retrieval, data deletion, and data updating all from the front end, as well as using database queries.

 

It does not matter if you have a website, mobile application, or desktop application, the database is needed at the back end, so database testing is a crucial step not to be missed. The modern-day products with complex and high-volume transactions deal with an enormous volume of data. In healthcare, finance, retail, banking, and other critical applications, accuracy and speed of data are also crucial to test and verify.

 

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