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Using Custom Schemas

还没翻译译自英文(supabase.com)本页 13 段都还没译

By default, your database has a public schema which is automatically exposed on data APIs.

Creating custom schemas

You can create your own custom schema/s by running the following SQL, substituting myschema with the name you want to use for your schema:

CREATE SCHEMA myschema;

Exposing custom schemas

You can expose custom database schemas - to do so you need to follow these steps:

  1. Go to API settings and add your custom schema to "Exposed schemas".
  2. Run the following SQL, substituting myschema with your schema name:
GRANT USAGE ON SCHEMA myschema TO anon, authenticated, service_role;
GRANT ALL ON ALL TABLES IN SCHEMA myschema TO anon, authenticated, service_role;
GRANT ALL ON ALL ROUTINES IN SCHEMA myschema TO anon, authenticated, service_role;
GRANT ALL ON ALL SEQUENCES IN SCHEMA myschema TO anon, authenticated, service_role;
ALTER DEFAULT PRIVILEGES FOR ROLE postgres IN SCHEMA myschema GRANT ALL ON TABLES TO anon, authenticated, service_role;
ALTER DEFAULT PRIVILEGES FOR ROLE postgres IN SCHEMA myschema GRANT ALL ON ROUTINES TO anon, authenticated, service_role;
ALTER DEFAULT PRIVILEGES FOR ROLE postgres IN SCHEMA myschema GRANT ALL ON SEQUENCES TO anon, authenticated, service_role;

Now you can access these schemas from data APIs:

// Initialize the JS client
import { createClient } from '@supabase/supabase-js'

const supabase = createClient(SUPABASE_URL, SUPABASE_PUBLISHABLE_KEY, {
  db: { schema: 'myschema' },
})

// Make a request
const { data: todos, error } = await supabase.from('todos').select('*')

// You can also change the target schema on a per-query basis
const { data: todos, error } = await supabase.schema('myschema').from('todos').select('*')

Note

With generated Database types that include public, createClient<Database>(...) type-checks db.schema against public only, unless the schema name is also passed as the second generic: createClient<Database, 'myschema'>(...). supabase.schema('myschema').from(...) infers its schema per call and needs no second generic. In both cases myschema has to be present in the generated Database type.

// Initialize the Flutter client
await Supabase.initialize(
  url: supabaseUrl,
  publishableKey: publishableKey,
  postgrestOptions: const PostgrestClientOptions(schema: 'myschema'),
);
final supabase = Supabase.instance.client;

// Make a request
final data = await supabase.from('todos').select();

// You can also change the target schema on a per-query basis
final data = await supabase.schema('myschema').from('todos').select();
// Initialize the client with a custom schema
var supabase = new Supabase.Client(
  SUPABASE_URL,
  SUPABASE_PUBLISHABLE_KEY,
  new SupabaseOptions { Schema = "myschema" }
);
await supabase.InitializeAsync();

// Make a request
var todos = await supabase.From<Todo>().Get();
# Append /rest/v1/ to your URL, and then use the table name as the route.

# for GET or HEAD request use Accept-Profile
curl '<SUPABASE_URL>/rest/v1/todos' \
  -H "apikey: <SUPABASE_PUBLISHABLE_KEY>" \
  -H "Authorization: Bearer <SUPABASE_PUBLISHABLE_KEY>" \
  -H "Accept-Profile: myschema"

# for POST, PATCH, PUT and DELETE Request use Content-Profile
curl -X POST '<SUPABASE_URL>/rest/v1/todos' \
  -H "apikey: <SUPABASE_PUBLISHABLE_KEY>" \
  -H "Authorization: Bearer <SUPABASE_PUBLISHABLE_KEY>" \
  -H "Content-Type: application/json" \
  -H "Content-Profile: myschema" \
  -d '{"column_name": "value"}'