Sample Restaurants Dataset
The sample_restaurants
database contains two collections
specifically designed to help familiarize you with
GeoJSON data.
To learn how to load the sample data provided by Atlas into your cluster, see Load Sample Data.
Collections
The sample_restaurants
database contains the following collections:
Collection Name | Description |
---|---|
Contains details on restaurants. | |
Contains details on neighborhoods. |
sample_restaurants.restaurants
This collection contains account details for restaurants. Each document contains details on the restaurant such as its address, borough, review scores, its name, and the type of food it serves.
Indexes
The sample_restaurants.restaurants
collection contains the following
indexes:
Name | Index | Description |
---|---|---|
_id_ | { "_id": 1 } | Primary key index on the _id field. |
Sample Document
{ "address": { "building": "8825", "coord": [-73.8803827, 40.7643124], "street": "Astoria Boulevard", "zipcode": "11369" }, "borough": "Queens", "cuisine": "American", "grades": [ { "date": {"$date": "2014-11-15T00:00:00.000Z"}, "grade": "Z", "score": 38 }, { "date": {"$date": "2014-05-02T00:00:00.000Z"}, "grade": "A", "score": 10 }, { "date": {"$date": "2013-03-02T00:00:00.000Z"}, "grade": "A", "score": 7 }, { "date": {"$date": "2012-02-10T00:00:00.000Z"}, "grade": "A", "score": 13 }], "name": "Brunos On The Boulevard", "restaurant_id": "40356151" }
sample_restaurants.neighborhoods
This collection contains details on the various neighborhoods of New York City neighborhoods. Each document contains the name of the neighborhood, and a geometry sub-document which contains the shape of the neighborhood.
These arrays of coordinates are typically used with the
$geoWithin
operator to query data that exists within a
specified boundary.
Indexes
The sample_restaurants.neighborhoods
collection contains the
following indexes:
Name | Index | Description |
---|---|---|
_id_ | { "_id": 1 } | Primary key index on the _id field. |
Sample Document
{ "geometry": { "coordinates": [[ [-73.94193078816193, 40.70072523469547], [-73.9443878859649, 40.70042452378256], [-73.94424286147482, 40.69969927964773], [-73.94409591260093, 40.69897295461309], [-73.94394947271304, 40.69822127983908], ... [-73.94193078816193, 40.70072523469547] ]]}, "name":"Bedford" }