Data stores

Data stores, which come from the @orbit/store package, have been discussed at length throughout this guide already. Stores implement the Updatable, Queryable, and Syncable interfaces, and are the primary interface through which developers will interact with an Orbit application.

Instead of re-explaining querying and updating stores, this section explores some unique capabilities of stores and their inner workings.


Every store keeps its data in memory in a Cache, which is accessible via the store.cache member.

Immutable data

Caches use immutable data maps from @orbit/immutable to store their actual data. This makes it incredibly efficient to clone caches, and thus stores, which has benefits we’ll discuss shortly.

The use of immutable data structures does not extend into the records themselves, which are stored as simple POJOs. Therefore, it’s not necessary to use immutable access methods when working with records. There is some performance tradeoff involved here, because individual records must be cloned on mutation.

Operation processors

Every change to a cache is observed by several “operation processors”, whose job it is to ensure that the cache maintains its integrity and continues to conform to its associated schema.

A single transform applied to a store may result in many changes being made by operation processors. For instance, when a record is removed, it must be removed from all of its associated relationships. When a relationship with an inverse is removed, that inverse relationship must also be removed.


Typically you should not be applying changes directly to a cache. It’s far preferable to apply changes to the associated store through its update event.

However, caches can be modified via a patch method, that takes an Operation or array of Operations.

The PatchResult that’s returned has the following signature:

type PatchResultData = Record | RecordIdentity | null;
interface PatchResult {
inverse: RecordOperation[],
data: PatchResultData[]

All changes to a cache will be emitted as patch events. These events include the Operation that was applied as well as any data returned.

Its important to recognize that patch events will be emitted for EVERY change, including those made by operation processors. Therefore, if you need a high fidelity log of changes to a store, observe its cache’s patch events.

Querying cache data

As has been discussed, the contents of a cache can be queried directly and synchronously, using the same query expressions that can be applied to other sources.

While store.query is asynchronous and thus returns results wrapped in a promise, store.cache.query is synchronous and returns results directly. For example:

// Results will be returned synchronously by querying the cache
let planets = store.cache.query(q => q.findRecords('planet').sort('name'));

By querying the cache instead of the store, you’re not allowing other sources to participate in the fulfillment of the query. If you want to coordinate queries across multiple sources, it’s critical to make requests directly on the store.

Forking stores

Because caches store their data in immutable structures, cloning them is incredibly “cheap”. It’s possible to “fork” a store quickly, modify its data in isolation from its parent, and optionally “merge” those changes back.

Let’s look at an example of store forking and merging:

// start by adding two planets and a moon to the store
await store.update(t => [
let planets = await store.query(q => q.findRecords('planet').sort('name')));
console.log('original planets');
// fork the store
forkedStore = store.fork();
// add a planet and moons to the fork
await forkedStore.update(t => [
// query the planets in the forked store
planets = await forkedStore.query(q => q.findRecords('planet').sort('name')));
console.log('planets in fork');
// merge the forked store back into the original store
await store.merge(forkedStore);
// query the planets in the original store
planets = await store.query(q => q.findRecords('planet').sort('name'))))
console.log('merged planets');

It’s important to note a few things about store forking and merging:

Want to experiment with store forking and merging? See this example in WebpackBin.