Simple wrapper for the MongoDB Data API.
v1 Update! MongoDB is out of beta, so this library is now v1! 🎉
The usual ways:
npm install @saibotsivad/mongodb
Instantiate and issue a request:
import { mongodb } from '@saibotsivad/mongodb'
const db = mongodb({
apiKey: 'AKAIDEXAMPLEKEY',
apiUrl: 'https://data.mongodb-api.com/app/data-abc123/endpoint/data/v1',
dataSource: 'myCluster3',
database: 'myDatabase',
collection: 'vehicles',
})
const car = await db.findOne({ filter: { type: 'car' } })
// => { _id: "61df...", type: "car", ...etc }
Import the { mongodb }
function and instantiate with the following properties:
The programmatic API key, generated using the MongoDB Atlas interface.
The fully qualified URL, e.g. something like this:
https://data.mongodb-api.com/app/data-abc123/endpoint/data/v1
Called immediately prior to making the fetch
request, with the name of the request (e.g. findOne
) and the body of the request. Useful for things like logging and debugging, but you can also mutate the object if needed.
type interpose = (input: { name: string, body: Object }) => { body: Object }
These are properties that are required for every request.
You can set them when you create a mongodb
instance, or override or provide them on the individual request:
const db = mongodb({
apiKey: 'AKAIDEXAMPLEKEY',
apiUrl: 'https://data.mongodb-api.com/app/data-abc123/endpoint/data/v1',
dataSource: 'myCluster1',
database: 'myDatabase',
collection: 'vehicles',
})
// override `collection` for this one request
const car = await db.findOne({ filter: { type: 'hobbit' } }, { collection: 'people' })
// => { _id: "42fd...", type: "hobbit", ...etc }
The name of the MongoDB cluster.
The name of the MongoDB database.
The name of the collection.
This library was written to use the fetch
Web API using globalThis.fetch
to make requests to the MongoDB Data API.
To make requests in an environment without fetch
, e.g. NodeJS, you will need to provide your own fetch-like implementation.
Check the response type definition for interface requirements, but for example you could use something like the very lightweight httpie
library, like in the demo.
The available methods follow the Data API Resources exactly, so go read those for more details.
Each one can be overridden with a second property, which is an object containing the earlier "Request Requirements" properties, e.g.:
await db.findOne(
{ filter: { type: 'car' } },
{
dataSource: 'AlternateCluster',
database: 'AlternateDatabase',
collection: 'AlternateTable',
},
)
Runs an aggregation pipeline and returns the result set of the final stage of the pipeline as an array of documents.
(
parameters: { pipeline: MongoPipeline },
overrides?: { dataSource?: string, database?: string, collection?: string },
) =>
Promise<{ documents: Array<Object> }>
await db.aggregate({
pipeline: [
{
$group: {
_id: "$status",
count: { $sum: 1 },
text: { $push: "$text" }
}
},
{ $sort: { count: 1 } }
]
})
// => { documents [{ _id: ... }] }
Delete the first document matching the filter, and return the number of documents deleted.
(
parameters: { filter: MongoFilter },
overrides?: { dataSource?: string, database?: string, collection?: string },
) =>
Promise<{ deletedCount: Number }>
await db.deleteOne({
filter: { _id: { $oid: '6193ebd53821e5ec5b4f6c3b' } }
})
// => { deletedCount: 1 }
Delete multiple documents and return the number of documents deleted.
(
parameters: { filter: MongoFilter },
overrides?: { dataSource?: string, database?: string, collection?: string },
) =>
Promise<{ deletedCount: Number }>
await db.deleteMany({
filter: { status: 'complete' }
})
// => { deletedCount: 7 }
Find multiple documents and return a list of those documents.
(
parameters: { filter: MongoFilter, projection: MongoProjection, sort: MongoSort, limit: Integer, skip: Integer },
overrides?: { dataSource?: string, database?: string, collection?: string },
) =>
Promise<{ documents: Array<Object> }>
await db.find({
filter: { status: 'complete' },
sort: { completedAt: -1 }
})
// => { documents: [{ _id: ... }] }
Find and return the first document matching the filter.
(
parameters: { filter: MongoFilter, projection: MongoProjection },
overrides?: { dataSource?: string, database?: string, collection?: string },
) =>
Promise<{ document: Object }>
await db.findOne({ filter: { _id: { $oid: '6193ebd53821e5ec5b4f6c3b' } } })
// => { document: { _id: ... } }
Insert a single document and return the ID of that document.
(
parameters: { document: EjsonDocument },
overrides?: { dataSource?: string, database?: string, collection?: string },
) =>
Promise<{ insertedId: String }>
await db.insertOne({ document: { type: 'car' } })
// => { insertedId: '61935189ec53247016a623c9' }
Insert multiple documents at once and return the generated IDs.
(
parameters: { documents: Array<EjsonDocument> },
overrides?: { dataSource?: string, database?: string, collection?: string },
) =>
Promise<{ insertedIds: Array<String> }>
await db.insertMany({
documents: [
{ type: 'car' },
{ type: 'truck' }
]
})
// => { insertedIds: [ '61935189ec53247016a623c9', '61935189ec53247016a623ca' ] }
Replace or upsert the first document matching the filter and return the matched and modified count, along with the generated ID if a new document was generated.
(
parameters: { filter: MongoFilter, replacement: EjsonDocument, upsert: Boolean },
overrides?: { dataSource?: string, database?: string, collection?: string },
) =>
Promise<{ matchedCount: Integer, modifiedCount: Integer, upsertedId?: String }>
await db.replaceOne({
filter: { id: { $oid: '61935189ec53247016a623c9' } },
replacement: { type: 'van' }
})
// => { matchedCount: 1, modifiedCount: 1, upsertedId: '...' }
Update the first document matching the filter and return the matched and modified count, along with the generated ID if a new document was generated.
(
parameters: { filter: MongoFilter, update: MongoUpdate, upsert: Boolean },
overrides?: { dataSource?: string, database?: string, collection?: string },
) =>
Promise<{ matchedCount: Integer, modifiedCount: Integer, upsertedId?: String }>
await db.updateOne({
filter: { id: { $oid: '61935189ec53247016a623c9' } },
update: {
$set: {
status: 'complete',
completedAt: { $date: { $numberLong: Date.now().toString() } }
}
}
})
// => { matchedCount: 1, modifiedCount: 1, upsertedId: '...' }
Update all documents matching the filter and return the matched and modified count, along with the generated ID if a new document was generated.
(
parameters: { filter: MongoFilter, update: MongoUpdate, upsert: Boolean },
overrides?: { dataSource?: string, database?: string, collection?: string },
) =>
Promise<{ matchedCount: Integer, modifiedCount: Integer, upsertedId?: String }>
await db.updateOne({
filter: { status: 'open' },
update: {
$set: {
status: 'complete',
completedAt: { $date: { $numberLong: Date.now().toString() } }
}
}
})
// => { matchedCount: 7, modifiedCount: 4 }
Published and released under the Very Open License.
If you need a commercial license, contact me here.