y-websocket
WebSocket Provider for Yjs that ships with a extendable server implementation
Last updated
WebSocket Provider for Yjs that ships with a extendable server implementation
Last updated
The Websocket Provider implements a conventional client-server model. Clients connect to a single endpoint over Websocket. The server distributes document updates and awareness information among clients. You can configure providers on the server as well, which allow you to persist document updates or scale your infrastructure.
The Websocket Provider is a solid choice if you want a central source that handles authentication and authorization. Websockets also send header information and cookies, so you can use existing authentication mechanisms with this server.
Supports cross-tab communication. When you open the same document in the same browser, changes on the document are exchanged via cross-tab communication (Broadcast Channel and localStorage as fallback).
Supports the exchange of awareness information (e.g. cursors).
The WebSocket provider requires a WebSocket
object to create a connection to a server. You can polyfill WebSocket support in Node.js using the ws
package.
wsProvider = new WebsocketProvider(serverUrl: string, room: string, ydoc: Y.Doc [, wsOpts: WsOpts])
**** Create a new websocket-provider instance. As long as this provider, or the connected ydoc
, is not destroyed, the changes will be synced to other clients via the connected server. Optionally, you may specify a configuration object. The following default values of wsOpts
can be overwritten.
wsProvider.wsconnected: boolean
**** True if this instance is currently connected to the server.
wsProvider.wsconnecting: boolean
**** True if this instance is currently connecting to the server.
wsProvider.shouldConnect: boolean
**** If false, the client will not try to reconnect.
wsProvider.bcconnected: boolean
**** True if this instance is currently communicating to other browser-windows via BroadcastChannel.
wsProvider.synced: boolean
**** True if this instance is currently connected and synced with the server.
wsProvider.disconnect()
**** Disconnect from the server and don't try to reconnect.
**wsProvider.connect()
**
**** Establish a websocket connection to the websocket-server. Call this if you recently disconnected or if you set wsOpts.connect = false
.
wsProvider.destroy()
**** Destroy this wsProvider
instance. Disconnects from the server and removes all event handlers.
wsProvider.on('sync', function(isSynced: boolean))
**** Add an event listener for the sync
event that is fired when the client received content from the server.
Start a y-websocket server:
Since npm symlinks the y-websocket-server
executable from your local ./node_modules/.bin
folder, you can simply run npx. The PORT
environment variable defaults to 1234.
Persist document updates in a LevelDB database. See LevelDB Persistence for more information.
Send a debounced callback to an HTTP server (POST
) on document update.
Can take the following environment variables:
CALLBACK_URL
: Callback server URL
CALLBACK_DEBOUNCE_WAIT
: Debounce time between callbacks (in ms). Defaults to 2000 ms
CALLBACK_DEBOUNCE_MAXWAIT
: Maximum time to wait before the callback. Defaults to 10 seconds
CALLBACK_TIMEOUT
: Timeout for the HTTP call. Defaults to 5 seconds
CALLBACK_OBJECTS
: JSON of shared objects to get data ('{"SHARED_OBJECT_NAME":"SHARED_OBJECT_TYPE}'
)
This sends a debounced callback to localhost:3000
2 seconds after receiving an update (default DEBOUNCE_WAIT
) with the data of an XmlFragment named "prosemirror"
in the body.
These are mere suggestions on how you could scale your server environment. You can use the y-websocket server implementation as a baseline to implement your own scaling approach.
Option 1: Websocket servers communicate with each other via a PubSub server. A room is represented by a PubSub channel. The downside of this approach is that the same shared document may be handled by many servers. But the upside is that this approach is fault-tolerant, does not have a single point of failure, and is fit for route balancing.
Option 2: Sharding with consistent hashing. Each document is handled by a unique server. This pattern requires an entity, like etcd, that performs regular health checks and manages servers. Based on the list of available servers (which is managed by etcd) a proxy calculates which server is responsible for each requested document. The disadvantage of this approach is that load distribution may not be fair. Still, this approach may be the preferred solution if you want to store the shared document in a database - e.g. for indexing.
y-redis