JSON TEST DATA GENERATOR MONGODB HOW TO

Script maintenance when data model or backend changesĬreating database seeds with factory scripts.All responsibility for test data is on the frontend/testing team.

Ultimate control over test data for entities and relationships.May require DevOps team for setup and deployment.Ĭustom scripts (factories) to generate 'test' data.Depending on entities and where data is stored among regions and databases, i.e., cloud infrastructure, it can become quite complicated.Possible for SQL and NoSQL backends, 'easier' for SQL.Efficient in that data used to drive tests would be provisioned outside of testing.Working with actual data (potentially sanitized).This method involves using a SQL dump or an export from one of your databases and then importing the export into another database explicitly used for testing. May potentially need extra security measures if these endpoints are public-facing.Little to no maintenance on frontend/testing side completely managed by backend.Responsibility of test data is on the backend, not frontend or QA.Can ensure relationships between entities are established.Call an endpoint with parameters, and the backend creates the entities and returns them.This method involves utilizing special APIs set up to generate the data you need for your tests. Making API calls to your backend to provision data Potential security issues with PII may need to anonymize data.Requires maintenance when your data model changes.Requires network interaction to get the data, possible issues with latency.This is only possible if your front end and backend are in the same repo. Re-use backend logic, i.e., using an ORM or methods to obtain data from the backend for testing purposes.Faster than using the UI to initialize the data, i.e., the method listed above.Relies on the backend to manage the data.This method involves writing raw queries, like SQL, to populate your database with the data you need for testing. Make queries to the database to create the data you need If your tests fail, your data will not be created, and any subsequent tests that rely upon the creation of this data will also fail.Data initialization is less resilient because you don't have a way of knowing if the data exists.Your spec files could potentially rely upon each other, which is an anti-pattern.Confirms that your UI and backend are working correctly.The easiest and most straightforward way.For example, you could write tests that would allow Cypress to create users via your application UI by filling out a signup form with a generic user specifically for testing purposes. This method involves using Cypress to drive the UI to generate the data you need.

Using the UI to create the data you need (during your tests) Below are a few ways we recommend, ordered by our least favorite to our best option. There are many ways to seed your database. Does the test data change between environments like dev, staging, and prod?.Do you need to anonymize the data before testing for PII or other personal data safety?.What data needs to come from the database, and which data can be mocked?.The frontend team is instructed to issue API requests to re-seed the database, create users, delete users, form relationships between users.The entities in the system and their relationships are complicated thus, the backend team has scripts and manages the test data.Are the database seeds and initialization owned by another team (backend).For example, in the Real World App, users need to have a bank account to send and receive payments.What are the relationships between the various entities in your system/application?.Do you need to create test users on the fly?.Do you have a backend with your test users?.Here are some things to be thinking about to help you come up with your data strategy. In the same way that you need to have a testing strategy to determine what to test, you also need a data strategy on how you will work with the data you need for your tests.

JSON TEST DATA GENERATOR MONGODB HOW TO

In this lesson, we will discuss some strategies on how to work with data in your tests. One reason why they struggle is that working with data for testing is often overlooked or forgotten about. Many people struggle with how to manage data necessary for testing.

Json test data generator mongodb