Realtime Broadcast and Presence Authorization #22484
Replies: 2 comments 13 replies
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hey @filipecabaco, great work + write up! I know this is for a future iteration, but please integrate postgres changes with this concept, so that a user can define a "publisher" for a channel. right now, realtime + rls is hammering our database resources and this would finally solve it. |
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Sort of fuzzy (quick read) is this RLS only applied on the channel connection (and maybe token refresh) or is the database call made for every message and RLS has to run on the table(tables for joins) for each message. The latter would open up alot of need for performance testing with RLS policies. |
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Overview
This post explains how authorization works for Realtime Broadcast and Realtime Presence.
This allows you (the developer) to control access to Realtime Channels. We use Postgres Row Level Security to manage access. Developers create “Policies” which allow or deny access for your users.
Usage
Creating Realtime Policies
In your Supabase Studio
Authentication
Policies
realtime
schemaCreate a new policy
Now if we wanted to create channels that are only usable by
authenticated
users we would have the following rules:Channels rule to connect the channel
The
Policies
screen will now have the policies you set for each tableSince you are using RLS policies you can do more complex examples.
In a scenario where you have a schema with a table for rooms and one that creates an association between rooms and users.
Example schema to be used in RLS policies
We can build more complex RLS rules using this information:
And we can imagine other use cases like checking the role of the user to match a certain value:
Creating Authorized channels
Now using your
service_role
token you can create a channel against our API and this will enable authz checking forchannel_1
:Testing Authorization
Now to test it we can use a quick deno script by creating a
index.ts
This will return an error with the message
You do not have permissions to read from this Channel
But if we change our code to pass along an authenticated user, then we will be able to connect and receive / send messages.
Do not forget that RLS policies can use other tables in them so this will give you all the flexibility you need to better fit your use case but be aware of the performance impact of heavy RLS queries or non-indexed fields
Migrating from Public Channels
We infer the behaviour you desire by checking if the
realtime.channels
table includes an entry for the given channel name meaning that migrating from an unprotected channel to one that follows this new method you would need to:realtime.channels
,realtime.broadcasts
andrealtime.presences
tablesNew Endpoints
Due to this new changes, if you want to use this feature, you will need to preemptively create a channel. For this effect we have added new endpoints for Realtime.
This endpoints will respect RLS rules from the given Bearer token.
Client library
We’re working on the
next
version actively so we can provide a good developer experience.Please check the latest
next
version at https://www.npmjs.com/package/@supabase/realtime-js?activeTab=versionsThis library provides an easy way to manage your channels (CRUD operations). Be aware that for channel creation you need to add either use the
service_role
key or create the RLS policies to allow channel creation:The operations are:
All this requests will also respect the user doing the RLS call, meaning that the
listChannels
method will only show the allowed channels based on the calling user policies.Finally this is still heavily WIP as we want to ensure that we provide a good developer experience hence being in
next
instead of a new release or a RC.How it works (technically)
Connection context
When you connect with Realtime we set a connection configuration with your JWT, Channel Name and Headers using the following query:
This query is only run when you connect to a channel.
Applying RLS Policies
To achieve RLS checks on your Realtime connection we created new tables in the
realtime
schema to which you will be able to write RLS rules against it to control your channel features.Relevant tables that you can use for your RLS checks
The rules will be applied to three elements:
Which means that your RLS rules should be able to comply with the following rules:
read
permissionscheck
column, they havewrite
permissionsrealtime.channels
they havewrite
permissionsread
permissionscheck
column in row associated with the channel in the context, they havewrite
permissionsread
permissionscheck
column in row associated with the channel in the context, they havewrite
permissionsWe will explore some examples in the section below named
How to use
Do not use it with Postgres Changes
We still do not have this fully implemented for Postgres Changes but be aware that we use the same Channels concept so this changes can impact the Postgres Changes feature.
Avoid using this method whenever you want to use Postgres Changes meaning that you should avoid creating a Channel for Channels that use Postgres Changes.
Call for feedback
Please do try out this feature and provide your feedback, we hope to be able to provide all the answers and we hope you will enjoy this feature.
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