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Building Blocks

Collections

Nitric Collections simplify storing and querying data in easily accessible documents.

Collections

A collection is a unique collection of unstructured data that is made up of many documents. Collections can most often be thought of as a category of related documents. E.g. countries

Documents

A document is a uniquely identifiable item within a collection. It can be thought of as a simple JSON document. E.g. if countries were a collection then usa might be a document within that collection.

Sub-collections

A sub-collection is a collection that belongs to a single document. If we use usa as a parent document example then states might be a sub-collection that holds states within that country.

General usage

Create collections

Declaring a collection for your application can be done in a single line of code using the Nitric SDK:

JavaScript
Python
import { collection } from '@nitric/sdk';

const countries = collection('Countries').for('reading', 'writing', 'deleting');

Write documents

You can create a new document by using an existing collection reference to create a new document reference, then set a value for the document.

JavaScript
Python
await countries.doc('USA').set({
  name: 'United States of America',
  population: 329500000,
});

Read documents

Just like with writing, you can read a document by using its reference.

JavaScript
Python
const doc = await countries.doc('USA').get();

Delete documents

To delete a document that already exists, use the delete() method on the document reference.

JavaScript
Python
await countries.doc('USA').delete();

Query collections

Simple queries on collections are supported as well.

JavaScript
Python
const query = countries
  .query()
  // query string prefixes
  .where('name', 'startsWith', 'United')
  // query on equality
  .where('name', '==', 'United States of America')
  // query on inequality
  .where('name', '!=', 'Canada')
  // query on gt, lt, gte and lte as well
  .where('population', '>=', 100000000);

Results can be iterated either by paging or streaming.

JavaScript
Python
Python
// Paging
const results = await query.fetch();
// Use the paging token in next query to fetch the next page
const token = results.pagingToken;

for (const doc of results.documents) {
  // Do something with your documents
  console.log(doc.id);
}

// Streaming
const stream = query.stream();

stream.on('data', (snapshot) => {
  // Get document snapshots
});

Sub-collections

Create sub-collections

Working with a sub-collection is very similar to working with a collection, except they can be created dynamically at runtime. Simply construct a reference to a sub-collection within an existing document and you can begin working with documents within that sub-collection.

JavaScript
Python
const states = countries.doc('USA').collection('States');
// Get a reference to a document on the sub collection
const stateOfColorado = states.doc('Colorado');

Nitric supports a single depth for sub-collections

Query sub-collections

You can query sub-collections across all documents in a collection when they have the same name. For example query states from every country.

JavaScript
Python
const allStates = countries.collection('States');
const foundStates = allStates.query().stream();

foundStates.on('data', (doc) => {
  // do something...
});

This sub-collection reference is only queryable, since it's really an aggregate of all States sub-collections across all Countries documents. i.e. Query every state in every country.

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