# persist
This helper allows you to persist your store state, and subsequently rehydrate the store state when the store is recreated (e.g. on page refresh, new browser tab, etc).
By default it uses the browser's
sessionStorage
(opens new window),
however, you can configure it to use
localStorage
(opens new window),
or provide a custom storage engine.
# API
Below is the API of the persist
helper function.
# Arguments
model
(Object, required)The model that you wish to apply persistence to.
config
(Object, optional)You can provide a second parameter to your
persist
instances, which represents a configuration for the instance. The configuration object supports the following properties:allow
(Array<string>, optional)A list of keys, representing the parts of the model that should be persisted. Any part of the model that is not represented in this list will not be persisted.
deny
(Array<string>, optional)A list of keys, representing the parts of the model that should not be persisted. Any part of the model that is not represented in this list will be persisted.
mergeStrategy
(string, optional, default=mergeDeep)The strategy that should be employed when rehydrating the persisted state over your store's initial state. It can be one of the following values:
mergeDeep
mergeShallow
overwrite
Please see the docs below for a full insight and understanding of the various options and their respective implications.
transformers
(Array<Transformer>, optional)Transformers are use to apply operations to your data during prior it being persisted or hydrated.
One use case for a transformer is to handle data that can't be parsed to a JSON string. For example a
Map
orSet
. To handle these data types you could utilise a transformer that converts theMap
/Set
to/from anArray
orObject
.Transformers are applied left to right during data persistence, and are applied right to left during data rehydration.
redux-persist
(opens new window) already has a robust set of transformer packages (opens new window) that have been built for it. These can be used here.
# Related APIs
Please be aware that Store instances contain additional APIs relating to persistence.
For example the store.persist.flush()
API will immediately execute any queued
persist operations. This can be useful in the context of actions that cause your
application to unmount, like the user navigating away from your application.
See the Store docs for more information.
# Tutorial
This section will provide an in-depth walkthrough to persisting and rehydrating your store's state.
# Configuring your store to persist
When choosing to persist your state you firstly need to decide on the scope of your persistence - i.e. how much of your state do you wish to be persisted. You can persist the whole state, a partial slice of your state, or multiple slices of your state.
In the example below we will persist our entire state by wrapping our root model
with the persist
helper.
import { persist } from 'easy-peasy';
const store = createStore(
persist({
count: 1,
inc: action((state) => {
state.count += 1;
}),
}),
);
You can alternatively target specific parts of your state by wrapping the desired nested models.
const store = createStore(
products: productsModel,
basket: persist(basketModel),
session: persist(sessionModel)
);
Or you can utilise the configuration to explicitly select which keys of a model will be persisted.
const store = createStore(
persist(
{
products: productsModel,
basket: basketModel,
session: sessionModel,
},
{
allow: ['basket', 'session'],
},
),
);
Every time a state change occurs the persistence process will be queued to save
the state to the storage
(sessionStorage
(opens new window)
by default).
Note: the persisting process is an asynchronous one. Internally we manage a queue and make sure that multiple persistence operations are not fired off concurrently.
# Rehydrating your store
Every time your store is created, we will check for persisted data. If any is found we will use it to rehydrate your store accordingly. This process is asynchronous. Therefore it is best practice to ensure that the rehydration has completed prior to rendering the components within your application that will access the rehydrated state.
To aid with this we expose a
useStoreRehydrated
hook. This hook will
return true
when the rehydration process has completed, otherwise it will
return false
.
Using this hook you could for example show a loading indicator in place of the components that will depend on the rehydrated state.
This allows for a partial application render, providing the user with some perceived performance, as you could render the skeleton of the application in the interim.
import { useStoreRehydrated } from 'easy-peasy';
const store = createStore(persist(model));
function App() {
const isRehydrated = useStoreRehydrated();
return (
<div>
<Header />
{isRehydrated ? <Main /> : <div>Loading...</div>}
<Footer />
</div>
);
}
ReactDOM.render(
<StoreProvider store={store}>
<App />
</StoreProvider>,
document.getElementById('app'),
);
In the example above, the <Main />
content will not render until our store has
been successfully updated with the rehydration state.
Alternatively you could create a simple component to wrap your entire application, ensuring that state rehydration has completed prior to rendering it.
import { useStoreRehydrated } from 'easy-peasy';
function WaitForStateRehydration({ children }) {
const isRehydrated = useStoreRehydrated();
return isRehydrated ? children : null;
}
ReactDOM.render(
<StoreProvider store={store}>
<WaitForStateRehydration>
<App />
</WaitForStateRehydration>
</StoreProvider>,
document.getElementById('app'),
);
Ultimately, as shown, the useStoreRehydrated
hook provides a lot of
flexibility.
# Managing model updates
It's entirely reasonable that your store model will evolve over time. However, there is an inherent risk with this when utilizing the persist API.
If your application has previously been deployed to production then users may have persisted state based on a previous version of your store model. The user's persisted state may not align with that of your new store model, which could result in errors when a component tries to consume/update the store.
Easy Peasy does its best to try and minimize / alleviate this risk. By default
the persist API utilizes the mergeDeep
strategy (you can read more above merge
strategies further below). The mergeDeep
strategy attempts to perform an
optimistic merge of the persisted state against the store model. Where it finds
that the persisted state is missing keys that are present in the store model, it
will ensure to use the respective state from the store model. It will also
verify the types of data at each key. If there is a misalignment (ignoring
null
or undefined
) then it will opt for using the data from the store model
instead as this generally indicates that the respective state has been
refactored.
Whilst the mergeDeep
strategy is fairly robust and should be able to cater for
a wide variety of model updates, it can't provide a 100% guarantee that a valid
state structure will be resolved.
Therefore, when dealing with production applications, we recommend that you
consider removing this risk. You can do so by utilizing the version
configuration property that is available on the store config.
const store = createStore(
persist({
products: productsModel,
basket: basketModel,
session: sessionModel,
}),
{
version: 1, 👈
},
);
This version
number is a convenient mechanism by which to mark the version of
your store model.
Easy Peasy will be able to compare the version number for the user's persisted state against that of the current store model. If the versions do not align the persisted state will be ignored as it is for a previous version of the store model.
Simply update the version
any time you perform a significant update to your
store model.
const store = createStore(
persist({
products: productsModel,
basket: basketModel,
session: sessionModel,
}),
{
- version: 1,
+ version: 2,
},
);
Whilst this can have a negative effect on user experience, in that their persisted state will be lost, overall it provides stronger guarantees and stability for your users.
Please note that this is entirely optional. If you feel confident that your
model changes are simple enough to be resolved by the mergeDeep
strategy then
there is no need to increment this version number.
# Advanced Tutorial
Below we will cover some of the more advanced aspects of the persist api.
# Merge Strategies
When configuring persistence against your model you can choose from 3 different merge strategies. Each of them have their own unique merits. We invite you to read the docs for each below so that you can choose the strategy that will work best for your needs.
# mergeDeep
This is the default strategy.
The mergeDeep
strategy attempts to perform an optimistic merge of the
persisted state against the store model.
The data from the persistence will be merged deeply, recursing through all objects and then performing a merge for each item within the object.
It will not merge arrays and other structures such as Map/Set. If it finds any of these structures it will use the value defined within the persisted state, else the value from the store model.
It will also verify the types of data at each key. If there is a misalignment (ignoring null or undefined) then it will opt for using the data from the store model instead as this generally indicates that the respective state has been refactored.
Where it finds that the persisted state is missing keys that are present in the store model, it will ensure to use the respective state from the store model.
We can demonstrate the above behaviour via the following example.
Given a store with the following definition;
import { persist, createStore } from 'easy-peasy';
const store = createStore(
persist({
animal: 'dolphin',
address: {
city: 'london',
postCode: 'e3 1pq',
},
fruits: ['apple'],
id: 1,
name: null,
counter: 20,
}),
);
And the following persisted state;
{
"address": {
"city": "cape town"
},
"flagged": true,
"fruits": ["banana"],
"id": "one",
"name": "Wonder Woman",
"counter": null
}
The resulting state will be;
{
"animal": "dolphin",
"address": {
- "city": "london",
+ "city": "cape town",
"postCode": "e3 1pq"
}
+ "flagged": true,
- "fruits": ["apple"],
+ "fruits": ["banana"],
"id": 1,
- "name": null,
+ "name": "Wonder Woman",
- "counter": 20
+ "counter": null
}
We can break down the reasoning behind each state item like so;
animal
- The original value from the store model was maintained as their was no value within the persisted stateaddress.city
- The persisted state contained a different value for this property, and hence this value was used.address.postCode
- The original value from the store model was maintained as their was no value within the persisted stateflagged
- The store model didn't contain this property, however, as our persisted state did we copied it across.fruits
- The persisted state contained a different value for this property, and hence this value was used.id
- The persisted state contained a different data type for this property, so we assumed the model may have changed and therefore used the store model value.name
- The persisted state contained a different value for this property, and hence this value was used. Remembernull
andundefined
don't break the type comparison. We consider this a nullable value.counter
- The persisted state contained a different value for this property, and hence this value was used. Remembernull
andundefined
don't break the type comparison. We consider this a nullable value.
# mergeShallow
The mergeShallow
strategy will compare and merge the properties at the root of
the model it was bound against.
It will not merge arrays and other structures such as Map/Set. If it finds any of these structures it will use the value defined within the persisted state, else the value from the store model.
It will also verify the types of data at each key. If there is a misalignment (ignoring null or undefined) then it will opt for using the data from the store model instead as this generally indicates that the respective state has been refactored.
Where it finds that the persisted state is missing keys that are present in the store model, it will ensure to use the respective state from the store model.
We can demonstrate the above behaviour via the following example.
i.e.
Given a store with the following definition;
import { persist, createStore } from 'easy-peasy';
const store = createStore(
persist(
{
animal: 'dolphin',
address: {
city: 'london',
postCode: 'e3 1pq',
},
fruits: ['apple'],
id: 1,
name: null,
counter: 20,
},
{
mergeStrategy: 'mergeShallow',
},
),
);
And the following persisted state;
{
"address": {
"city": "cape town"
},
"flagged": true,
"fruits": ["banana"],
"id": "one",
"name": "Wonder Woman",
"counter": null
}
The resulting state will be;
{
"animal": "dolphin",
- "address": {
- "city": "london",
- "postCode": "e3 1pq"
- },
+ "address": {
+ "city": "cape town"
+ },
+ "flagged": true,
- "fruits": ["apple"],
+ "fruits": ["banana"],
"id": 1,
- "name": null,
+ "name": "Wonder Woman",
- "counter": 20
+ "counter": null
}
We can break down the reasoning behind each state item like so;
animal
- The original value from the store model was maintained as their was no value within the persisted stateaddress
- As we are doing amergeShallow
theaddress
from the persisted state is used, replacing theaddress
from the store model completely. In the process theaddress.postCode
property from our store model is lost.flagged
- The store model didn't contain this property, however, as our persisted state did we copied it across.fruits
- The persisted state contained a different value for this property, and hence this value was used.id
- The persisted state contained a different data type for this property, so we assumed the model may have changed and therefore used the store model value.name
- The persisted state contained a different value for this property, and hence this value was used. Remembernull
andundefined
don't break the type comparison. We consider this a nullable value.counter
- The persisted state contained a different value for this property, and hence this value was used. Remembernull
andundefined
don't break the type comparison. We consider this a nullable value.
The behaviour of mergeShallow
may be okay for your use-case, however, if you
update nested models then it is entirely possible that persisted state may not
match the required structure based on the evolved store model. This could cause
errors within your application if your components assumed the existing of a
particular state structure.
We therefore suggest using this strategy very carefully, and encourage you to
use the mergeDeep
strategy instead.
The mergeShallow
strategy is perhaps more useful if you would like to define
your persistence on the "leaf" models of your store, like so;
import { persist, createStore } from 'easy-peasy';
const model = {
address: persist(
{
city: 'london',
postCode: 'e3 1pq',
},
{ mergeStrategy: 'mergeShallow' },
),
todos: persist(
{
items: [],
},
{ mergeStrategy: 'mergeShallow' },
),
};
# overwrite
Utilizing this strategy will cause the state from your store model to be completely overwritten by the persisted state.
i.e.
Given a store with the following definition;
import { persist, createStore } from 'easy-peasy';
const store = createStore(
persist(
{
fruit: 'pear',
},
{ mergeStrategy: 'overwrite' },
),
);
And the following persisted state;
{
"city": "cape town"
}
The resulting state will be:
{
"city": "cape town"
}
This is perhaps the most risky strategy as we intentionally replace our stores initial state with that of the persisted state. If the store model has diverged you could open yourself up to errors/bugs. Please take extra care and consideration when using this strategy.
# Ensuring persistence completes prior to application unmount
Persistence operations are asynchronous. Therefore if you perform a state update prior to unmounting your application it is possible that the state change may not be persisted before your application unmounts.
Your store instances contain an API which allows you to
complete the queued persist operations, specifically the store.persist.flush()
API.
When this API is executed any queued persist operations will be immediately
executed, and a Promise
will be returned. The resolution of the returned
Promise
indicates that the persist has completed, after which you can safely
continue to unmount the application.
Below are some example utility functions that make use of this API.
import store from './store';
export const refreshPage = async () => {
// Firstly ensure that any outstanding persist operations are complete.
// Note that this is an asynchronous operation so we will await on it.
await store.persist.flush();
// we can now safely reload the page
window.document.reload();
};
export const redirectTo = async (href) => {
// Firstly ensure that any outstanding persist operations are complete.
// Note that this is an asynchronous operation so we will await on it.
await store.persist.flush();
// We can now safely redirect the browser
window.location.href = href;
};
# Deleting persisted data
Should you wish to remove all persisted data you can utilise the store instance's API to do so.
const store = createStore(model);
store.persist.clear().then(() => {
console.log('Persisted state has been removed');
});
Note that a Promise
was returned, which when resolved indicates that the data
removal has completed.
# Rehydrating dynamic models
The persist
API will work with dynamic models, i.e. models that were added to
the store via the store.addModel
API after the store
was created.
Every time a dynamic model is added to your store Easy Peasy will attempt to rehydrate any persisted state for that model.
store.addModel('products', productsModel);
To ensure that the rehydration has completed you can use the
resolveRehydration
helper that is returned by the
store.addModel
API.
const { resolveRehydration } = store.addModel('products', productsModel);
// 👆
// Deconstruct the returned object to get a handle on resolveRehydration
// 👇 execute the helper and wait on the returned promise
resolveRehydration().then(() => {
console.log('Rehydration is complete');
});
# Persisting multiple stores
If you utilise multiple stores, each with their own persistence configuration, you will need to ensure that each store is configured to have a unique name. The store name for each instance of your stores is used within the persistence cache keys created by Easy Peasy, therefore failure to do this can result in the stores overwriting each others persisted data.
const storeOne = createStore(persist(model), {
name: 'StoreOne', // 👈
});
const storeTwo = createStore(persist(model), {
name: 'StoreTwo', // 👈
});
# Custom storage engines
You can create a custom storage engine by defining an object that satisfies the following interface:
getItem(key) => any | Promise<any> | void
This function will receive the cache key and should return the associated state from the persistence if it exists. It can alternatively return a
Promise
that resolves the state, orundefined
if no persisted state was found.setItem(key, data) => void | Promise<void>
This function will receive the cache key as well as the state to persist. It should then store the respective data. It can optionally return a
Promise
to indicate when the state has been successfully persisted.removeItem(key) => void | Promise<void>
This function will receive the cache key and should remove any persisted state that is associated with it. It can optionally return a
Promise
to indicate when the persisted state has been successfully removed.
Once defined you can provide your custom storage engine to the configuration for
your persist
instance.
import myCustomStorageEngine from './my-custom-storage-engine';
const storeModel = persist(model, {
storage: myCustomStorageEngine,
});
# Custom data transformers
Transforms allow you to customize the state object that gets persisted and
rehydrated. They allow you to for instance convert store data from a complex
object, such as a Map
, into a structure that is JSON serialisable (and back
again).
Easy Peasy outputs a createTransformer
function, which has been directly copied from
redux-persist
(opens new window) in order to maximum
compatiblity with it's ecosystem.
We recommend you read the Redux Persist (opens new window) documentation on these for a full understanding.