Generating mock test data
The ability to generate test data is necessary for most IT projects, but this can be quite a tedious and time-consuming process. The MongoDB aggregation framework provides operators that a pipeline can include to make generating mock test data easy for certain types of test scenarios.
Note
For this example, you require MongoDB version 6.0 or above. This is because you'll be using the $densify and $fill stages introduced in version 6.0.
Scenario
You want to generate a load of sample data into a MongoDB collection so you can subsequently educate yourself by experimenting with MongoDB Query Language and defining indexes to determine how to improve the response time of your test queries. You don't have much time, so you want to use a low-effort way to quickly produce a collection of half a million documents using an aggregation pipeline. The specific fields you want each sample document to have include the following:
- A monotonically...
