An open source alternative to firebase offering
But wait,if they already have functions why do they need edge functions?
Supabase Functions: Your PostgreSQL Toolbox
Supabase functions, also known as database functions, are essentially PostgreSQL stored procedures. They are executable blocks of SQL code that can be called from within SQL queries.
Edge Functions: Beyond the Database
In contrast, Edge functions are server-side TypeScript functions that run on the Deno runtime. They are similar to Firebase Cloud Functions but offer a more flexible and open-source alternative.
Supabase: A PostgreSQL Platform
Beyond its role as an open-source alternative to Firebase, Supabase has evolved into a comprehensive PostgreSQL platform. It provides first-class support for PostgreSQL functions, integrating them seamlessly into its built-in utilities and allowing you to create and manage custom functions directly from the Supabase dashboard.
Structure of a basic postgres functon
CREATE FUNCTION my_function() RETURNS int AS $$ BEGIN RETURN 42; END; $$ LANGUAGE sql;
Breakdown:
Purpose:
This function defines a simple SQL function named my_function that returns the integer value 42. It's a basic example to demonstrate the structure and syntax of a function definition in PostgreSQL.
Key points to remember:
The $$ delimiters are used to enclose the function body in a language-independent manner.
Postgres functions can also be called by postgres TRIGGERS which are like functions but react to specific events like insert, update or delete on a table
to execute this function
SELECT my_function();
SELECT proname AS function_name, prokind AS function_type FROM pg_proc WHERE proname = 'my_function';
DROP FUNCTION my_function();
Built-in functions
Supabase makes use of postgres functions to perform certain tasks within your database.
short list of exampales includes
-- list all the supabase functions SELECT proname AS function_name, prokind AS function_type FROM pg_proc; -- filter for the session supabase functions function SELECT proname AS function_name, prokind AS function_type FROM pg_proc WHERE proname ILIKE '%session%'; -- selects the curremt jwt select auth.jwt() -- select what role is callig the function (anon or authenticated) select auth.role(); -- select the session user select session_use;
Supabase functions view on the dashboard
To view some of these functions in Supabase, you can check under database > functions
Creating a user_profile Table on User Signup
Supabase stores user data in the auth.users table, which is private and should not be accessed or modified directly. A recommended approach is to create a public users or user_profiles table and link it to the auth.users table.
While this can be done using client-side SDKs by chaining a create user request with a successful signup request, it's more reliable and efficient to handle it on the Supabase side. This can be achieved using a combination of a TRIGGER and a FUNCTION.
-- create the user_profiles table CREATE TABLE user_profiles ( id uuid PRIMARY KEY, FOREIGN KEY (id) REFERENCES auth.users(id), name text, email text ); -- create a function that returns a trigger on auth.users CREATE OR REPLACE FUNCTION public.create_public_user_profile_table() RETURNS TRIGGER AS $$ BEGIN INSERT INTO public.user_profiles (id,name,email) VALUES ( NEW.id, NEW.raw_user_meta_data ->> 'name', NEW.raw_user_meta_data ->> 'email' -- other fields accessible here -- NEW.raw_user_meta_data ->> 'name', -- NEW.raw_user_meta_data ->> 'picture', ); RETURN NEW; END; $$ LANGUAGE plpgsql SECURITY DEFINER; -- create the trigger that executes the function on every new user rowcteation(signup) CREATE TRIGGER create_public_user_profiles_trigger AFTER INSERT ON auth.users FOR EACH ROW WHEN ( NEW.raw_user_meta_data IS NOT NULL ) EXECUTE FUNCTION public.create_public_user_profile_table ();
let { data: user_profiles, error } = await supabase .from('user_profiles') .select('*')
we need 2 tabbles
-- Custom types create type public.app_permission as enum ('channels.delete', 'channels.update', 'messages.update', 'messages.delete'); create type public.app_role as enum ('admin', 'moderator'); -- USER ROLES create table public.user_roles ( id bigint generated by default as identity primary key, user_id uuid references public.users on delete cascade not null, role app_role not null, unique (user_id, role) ); comment on table public.user_roles is 'Application roles for each user.'; -- ROLE PERMISSIONS create table public.role_permissions ( id bigint generated by default as identity primary key, role app_role not null, permission app_permission not null, unique (role, permission) ); comment on table public.role_permissions is 'Application permissions for each role.';
example of user role
id | user_id | role |
---|---|---|
1 | user-1 | admin |
2 | user-2 | moderator |
example of a role permission table
id | role | permission |
---|---|---|
1 | admin | channels.update |
2 | admin | messages.update |
3 | admin | messages.delete |
4 | admin | messages.delete |
5 | moderator | channels.update |
6 | moderator | messages.update |
user with user_id = user-1 will have admin and moderator roles and can delete channels and messages
users with user_id = user-2 can only update channels and messages with the moderator role
-- Create the auth hook function create or replace function public.custom_access_token_hook(event jsonb) returns jsonb language plpgsql stable as $$ declare claims jsonb; user_role public.app_role; begin -- Fetch the user role in the user_roles table select role into user_role from public.user_roles where user_id = (event->>'user_id')::uuid; claims := event->'claims'; if user_role is not null then -- Set the claim claims := jsonb_set(claims, '{user_role}', to_jsonb(user_role)); else claims := jsonb_set(claims, '{user_role}', 'null'); end if; -- Update the 'claims' object in the original event event := jsonb_set(event, '{claims}', claims); -- Return the modified or original event return event; end; $$; grant usage on schema public to supabase_auth_admin; grant execute on function public.custom_access_token_hook to supabase_auth_admin; revoke execute on function public.custom_access_token_hook from authenticated, anon, public; grant all on table public.user_roles to supabase_auth_admin; revoke all on table public.user_roles from authenticated, anon, public; create policy "Allow auth admin to read user roles" ON public.user_roles as permissive for select to supabase_auth_admin using (true)
then create a function that will be called to authorize on RLS policies
create or replace function public.authorize( requested_permission app_permission ) returns boolean as $$ declare bind_permissions int; user_role public.app_role; begin -- Fetch user role once and store it to reduce number of calls select (auth.jwt() ->> 'user_role')::public.app_role into user_role; select count(*) into bind_permissions from public.role_permissions where role_permissions.permission = requested_permission and role_permissions.role = user_role; return bind_permissions > 0; end; $$ language plpgsql stable security definer set search_path = ''; -- example RLS policies create policy "Allow authorized delete access" on public.channels for delete using ( (SELECT authorize('channels.delete')) ); create policy "Allow authorized delete access" on public.messages for delete using ( (SELECT authorize('messages.delete')) );
Improved Text:
Creating RPC Endpoints
Supabase functions can be invoked using the rpc function. This is especially useful for writing custom SQL queries when the built-in PostgreSQL APIs are insufficient, such as calculating vector cosine similarity using pg_vector.
create or replace function match_documents ( query_embedding vector(384), match_threshold float, match_count int ) returns table ( id bigint, title text, body text, similarity float ) language sql stable as $$ select documents.id, documents.title, documents.body, 1 - (documents.embedding <=> query_embedding) as similarity from documents where 1 - (documents.embedding <=> query_embedding) > match_threshold order by (documents.embedding <=> query_embedding) asc limit match_count; $$;
and call it client side
const { data: documents } = await supabaseClient.rpc('match_documents', { query_embedding: embedding, // Pass the embedding you want to compare match_threshold: 0.78, // Choose an appropriate threshold for your data match_count: 10, // Choose the number of matches })
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Filtering Out Columns
To prevent certain columns from being modified on the client, create a simple function that triggers on every insert. This function can omit any extra fields the user might send in the request.
-- check if user with roles authenticated or anon submitted an updatedat column and replace it with the current time , if not (thta is an admin) allow it CREATE or REPLACE function public.omit_updated__at () returns trigger as $$ BEGIN IF auth.role() IS NOT NULL AND auth.role() IN ('anon', 'authenticated') THEN NEW.updated_at = now(); END IF; RETURN NEW; END; $$ language plpgsql;
With a little experimentation, you can unlock the power of Supabase functions and their AI-powered SQL editor. This lowers the barrier to entry for the niche knowledge required to get this working.
Why choose Supabase functions?
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