MongoDB query compiled from plain English against the ecommerce sample schema, then verified by running it.
{
"type": "aggregation",
"collection": "orders",
"pipeline": [
{},
{},
{},
{}
]
}$lookup — joins the customers collection on customerId → _id.$unwind — flattens $customer into one document per element.$group — groups by "$customer.status" and aggregates totalRevenueCents.$project — returns only _id, status, totalRevenueCents.totalCents stores money as an integer number of cents — divide by 100 before displaying it.$group, totalRevenueCents totals $totalCents — one output document per distinct "$customer.status".Live output from running this query against the sample dataset.
| totalRevenueCents | status |
|---|---|
| 40500 | active |
| 32900 | inactive |
Write this in plain English instead. Mask Databases compiles the sentence above into exactly this query at build time — no AI at runtime, and you can read the output in a diff.
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