Set up Amplify DataStore
DataStore with Amplify
Amplify DataStore provides a programming model for leveraging shared and distributed data without writing additional code for offline and online scenarios, which makes working with distributed, cross-user data just as simple as working with local-only data.
Goal
To setup and configure your application with Amplify DataStore and use it to persist data locally on a device.
Prerequisites
- Install Amplify CLI version 12.5.1 or later by running:
npm install -g @aws-amplify/cli
curl -sL https://aws-amplify.github.io/amplify-cli/install | bash && $SHELL
curl -sL https://aws-amplify.github.io/amplify-cli/install-win -o install.cmd && install.cmd
Setup local development environment
Start with the React Native CLI:
Instructions for React Native version 0.72 and below
@aws-amplify/react-native
requires a minimum iOS deployment target of 13.0
if you are using react-native
version less than or equal to 0.72
. Open the Podfile located in the ios directory and update the target
value:
- platform :ios, min_ios_version_supported + platform :ios, 13.0
npx react-native init AmplifyDataStoreRNcd AmplifyDataStoreRNnpm install aws-amplify @aws-amplify/react-native @react-native-community/netinfo @react-native-async-storage/async-storage react-native-get-random-values @azure/core-asynciterator-polyfill
You will also need to install the pod dependencies for iOS:
npx pod-install
After installing pod dependencies, rebuild the app:
npm run ios
Use SQLite for enhanced performance (optional)
React Native CLI apps can now use SQLite with DataStore. SQLite offers considerable performance advantages over the default "AsyncStorage" database.
To enable SQLite with DataStore for enhanced local database performance, follow the steps below:
npx react-native init AmplifyDataStoreRNcd AmplifyDataStoreRNnpm install aws-amplify @aws-amplify/react-native @react-native-community/netinfo @aws-amplify/datastore-storage-adapter react-native-sqlite-storage @react-native-async-storage/async-storage react-native-get-random-values @azure/core-asynciterator-polyfillnpx pod-install
Then configure the SQLite storage adapter with DataStore in your app:
import { DataStore } from 'aws-amplify/datastore';import { SQLiteAdapter } from '@aws-amplify/datastore-storage-adapter/SQLiteAdapter';
DataStore.configure({ storageAdapter: SQLiteAdapter});
Start with the Expo CLI:
npx create-expo-app AmplifyDataStoreExpocd AmplifyDataStoreExpoexpo install aws-amplify @aws-amplify/react-native @react-native-community/netinfo @aws-amplify/datastore-storage-adapter react-native-sqlite-storage @react-native-async-storage/async-storage react-native-get-random-values @azure/core-asynciterator-polyfill
Use SQLite for enhanced performance (optional)
Expo built apps can now use SQLite with DataStore. SQLite offers considerable performance advantages over the default "AsyncStorage" database.
To enable SQLite with DataStore for enhanced local database performance, follow the steps below:
npx create-expo-app AmplifyDataStoreExpocd AmplifyDataStoreExpoexpo install aws-amplify @aws-amplify/react-native @react-native-community/netinfo @aws-amplify/datastore-storage-adapter react-native-sqlite-storage @react-native-async-storage/async-storage react-native-get-random-values @azure/core-asynciterator-polyfill
Then configure the SQLite storage adapter with DataStore in your app:
import { DataStore } from 'aws-amplify/datastore';import { ExpoSQLiteAdapter } from '@aws-amplify/datastore-storage-adapter/ExpoSQLiteAdapter';
DataStore.configure({ storageAdapter: ExpoSQLiteAdapter});
To use Amplify, you must first initialize it for use in your project. If you haven't already done so, run this command:
amplify init
The base structure for a DataStore app is created by adding a new GraphQL API to your app.
# For new APIsamplify add api
# For existing APIsamplify update api
The CLI will prompt you to configure your API. Select GraphQL as the API type and reply to the questions as shown below. Conflict detection is required when using DataStore to sync data with the cloud.
? Please select from one of the below mentioned services: `GraphQL`? Here is the GraphQL API that we will create. Select a setting to edit or continue: `Name`? Provide API name: `BlogAppApi`? Here is the GraphQL API that we will create. Select a setting to edit or continue: `Authorization modes: API key (default, expiration time: 7 days from now)`? Choose the default authorization type for the API `API key`? Enter a description for the API key: `BlogAPIKey`? After how many days from now the API key should expire (1-365): `365`? Configure additional auth types? `No`? Here is the GraphQL API that we will create. Select a setting to edit or continue: `Conflict detection (required for DataStore): Disabled`? Enable conflict detection? `Yes`? Select the default resolution strategy `Auto Merge`? Here is the GraphQL API that we will create. Select a setting to edit or continue: `Continue`? Choose a schema template `Single object with fields (e.g., “Todo” with ID, name, description)`
Next, install the Amplify library dependencies in your project by running:
npm install aws-amplify
Add Required Polyfills
React Native and Expo apps using react-native
0.70+ enable the Hermes engine by default, which does not currently support asyncIterator
out of the box. DataStore requires adding the following to the entry point of your app to polyfill asyncIterator
support:
import '@azure/core-asynciterator-polyfill';
Idiomatic persistence
DataStore relies on platform standard data structures to represent the data schema in an idiomatic way. The persistence language is composed by data types that satisfies the Model
interface and operations defined by common verbs such as save
, query
and delete
.
Data schema
The first step to create an app backed by a persistent datastore is to define a schema. DataStore uses GraphQL schema files as the definition of the application data model. The schema contains data types and relationships that represent the app's functionality.
Sample schema
For the next steps, let's start with a schema for a small blog application. Currently, it has only a single model. New types and constructs will be added to this base schema as more concepts are presented.
Open the schema.graphql
file located by default at amplify/backend/{api_name}/
and define a model Post
as follows.
type Post @model { id: ID! title: String! status: PostStatus! rating: Int content: String}
enum PostStatus { ACTIVE INACTIVE}
Now you will to convert the platform-agnostic schema.graphql
into platform-specific data structures. DataStore relies on code generation to guarantee schemas are correctly converted to platform code.
Like the initial setup, models can be generated either using the IDE integration or Amplify CLI directly.
Code generation: Platform integration
When using npx amplify-app
, an npm script named amplify-modelgen
should be added to your package.json
. You can generate model code with the following command.
npm run amplify-modelgen
The following files will be generated.
src/|_ models/ |_ index.d.ts |_ index.js |_ schema.d.ts |_ schema.js
Code generation: Amplify CLI
Models can also be generated using the Amplify CLI directly.
In your terminal, make sure you are in your project/root folder and execute the codegen command:
amplify codegen models
You can find the generated files at amplify/generated/models/
.
Initialize Amplify DataStore
When the aws-amplify/datastore
dependency is added to the project, the plugin is automatically initialized when you start using it.
Persistence operations
Now the application is ready to execute persistence operations. The data will be persisted to a local database, enabling offline-first use cases by default.
Even though a GraphQL API is already added to your project, the cloud synchronization will only be enabled when the API plugin is initialized and the backend provisioned. See the Next steps for more info.
Writing to the database
To write to the database, create an instance of the Post
model and save it.
try { const post = await DataStore.save( new Post({ title: 'My First Post' }) ); console.log('Post saved successfully!', post);} catch (error) { console.log('Error saving post', error);}
Reading from the database
To read from the database, the simplest approach is to query for all records of a given model type.
try { const posts = await DataStore.query(Post); console.log('Posts retrieved successfully!', JSON.stringify(posts, null, 2));} catch (error) { console.log('Error retrieving posts', error);}
Next steps
Congratulations! You’ve created and retrieved data from the local database. Check out the following links to see other Amplify DataStore use cases and advanced concepts: