Booking / scheduling on Nuxt 4, MySQL 8 and Supabase Auth

Nuxt 4 (framework mode): full-stack Vue SSR: client under app/ (Vite), server under server/ (Nitro), API as server/api/*.post.ts Nitro route handlers.

MySQL 8 via Drizzle ORM and the mysql2 driver.

Supabase Auth: hosted identity (GoTrue) via the @supabase/ssr cookie client; email+password + OAuth.

Calendar-scoped booking: bookable resources with capacity, time-windowed availability slots, party-size reservations, and per-reservation payment settlement.

Database client

import { drizzle } from "drizzle-orm/mysql2";
import mysql from "mysql2/promise";

// ponytail: single module-level pool; the runtime + mysql2's pool handle concurrency,
// so no globalThis singleton dance needed.
const pool = mysql.createPool(process.env.DATABASE_URL!);

export const db = drizzle({ client: pool });

bookable things (rooms, seats, staff) owned by a Better Auth user, each carrying an integer capacity cap

time windows a resource publishes, indexed by (resourceId, startsAt) for calendar range queries

holds and confirmations against a slot, consuming partySize units and walking held → confirmed → cancelled via CHECK

one payment record per reservation, storing amountCents as integer and an opaque providerPaymentId for Stripe/etc.

Client/server split: the DB client, Drizzle schema, records, and webhooks are server-side (server/). The `@/` alias is the client root (app/); server code reaches shared modules via Nuxt's `~~` rootDir alias (e.g. `~~/server/db/schema`).

The API layer is Nitro, Nuxt's server engine: endpoints are server/api/*.post.ts route handlers, and auth mounts as a Nitro catch-all that delegates to the auth library's framework-agnostic web handler.

Nuxt auto-imports components and composables at runtime, but the emitted server code imports h3 helpers (defineEventHandler, toWebRequest) EXPLICITLY — the one deliberate idiom trade so the handlers type-check under standalone tsc instead of relying on the auto-import magic.

Session gating runs in a Nitro server middleware (server/middleware/), which fires on every SSR and API request — the true security boundary, and a real server-side session check rather than a cookie-existence peek.

mysql2's pool multiplexes connections; drizzle-orm/mysql2 wraps it. One module-level pool is right for a serverless/edge app — the runtime and the pool handle concurrency.

MySQL has no row-level security: multi-tenant isolation is enforced in application code via the forOrg helper (src/lib/tenant.ts), not by the database. See the tenant-scoping section on SaaS pages.

Hosted: Supabase owns identity in its managed auth.users. This stack emits a LOCAL `user` mirror (db/auth-schema.ts) so app-type schemas can foreign-key `user` directly — keep it in sync with a Supabase trigger on auth.users (insert/update → public.user). The drizzle migration only owns the mirror table's shape, not the trigger.

Sessions are cookie-based (@supabase/ssr): the proxy refreshes them on every request; Server Components read the user via supabase.auth.getUser().

Capacity is on the resource, not the slot: a reservation consumes partySize units of the slot's capacity, so multiple parties can share one slot up to its cap.

availabilitySlots carries an isOpen boolean so an owner can close a window without deleting it (and its child reservations); the cascade is intentionally one-way downward (slot → reservation → payment).

MySQL provides no row-level security. On MySQL, multi-tenant isolation is APP-ENFORCED via the forOrg helper (src/lib/tenant.ts), not database-enforced like Postgres RLS. Every org-scoped query MUST go through forOrg — a missed query leaks across tenants. Postgres cells enforce this in the database itself (RLS), so it holds even for a query that forgets to scope.

Booking / scheduling

Each level of this schema narrows time. A resources row is the thing being booked, an availability_slots row is a window that resource publishes, a reservations row is a claim on that window, and a booking_payments row settles the claim. Ownership stops at the top: resources.owner_id references Better Auth's user.id, while the guest appears three tables down as reservations.booked_by, so publisher and booker are two different columns aimed at the same identity table and no role column separates them. Capacity lives on the resource, not on the slot. resources.capacity is an integer defaulting to 1, and every reservation consumes party_size units of it, so a table for six is one resource with capacity 6 carrying several overlapping reservations, while a barber's chair is capacity 1 and effectively exclusive.

Nothing in SQL enforces that arithmetic: there is no exclusion constraint, no unique on slot_id, and no trigger summing party_size. Overbooking is the one invariant the migration hands you unguarded, and it belongs inside a transaction in your own code. availability_slots is similarly permissive — starts_at and ends_at are plain notNull timestamps with no CHECK that the window runs forwards. The indexes are shaped for the three screens this schema exists to draw. idx_slot_resource_time on (resource_id, starts_at) is the calendar: equality on the resource plus a range on the start time resolves in one index, already in chronological order. idx_reservation_user on booked_by is the guest's own list of bookings.

idx_payment_reservation on reservation_id gathers every settlement attempt against a booking, and amount_cents is an integer so summing captured money is exact rather than approximate. Both lifecycle columns are text under named CHECKs — reservations_status_check for held, confirmed and cancelled, booking_payments_status_check for pending, paid and refunded. Deletes cascade one way only, downward, which is why is_open exists on a slot: an owner withdrawing a window flips a boolean and the reservations beneath it survive, whereas deleting the slot would take those reservations and their payment rows with it. The read left uncovered is availability itself — counting party_size against a slot has no index on reservations.slot_id behind it.

Nuxt 4

Nuxt 4 in framework mode is the one stack here with two roots. Client code lives under app/ and is what `@/` points at (Vite, Vue single-file components); server code lives under server/ and is run by Nitro, Nuxt's server engine. The database layer is server-side, so initCode writes server/lib/db.ts and the schema, record modules and webhooks land under server/db/ and server/api/ — server modules reach each other through Nuxt's `~~` rootDir alias (`~~/server/lib/db`, `~~/server/db/schema`), never through `@/`. That split earns its keep with secrets: the Resend send client belongs to ~~/server/lib/email, and nothing under app/ can import it by accident. The API layer is Nitro rather than a React-shaped route file.

server/api/webhooks/polar.post.ts is a POST endpoint; auth mounts as the catch-all server/api/auth/[...all].ts, which adapts the H3 event with toWebRequest(event) and hands the resulting web Request to the auth library's framework-agnostic handler. Nuxt auto-imports defineEventHandler and its siblings at runtime, but the emitted server files import them from h3 explicitly — one deliberate idiom trade so every handler type-checks under standalone tsc. Session gating is a Nitro server middleware at server/middleware/auth.ts. It fires on every SSR render and every API request, filters on pathname prefixes (/dashboard, /settings), performs the real auth.api.getSession() lookup, and answers with sendRedirect(event, "/sign-in", 302). Because Nitro sits in front of both the rendered page and the endpoints, that is a genuine security boundary rather than a cheap pre-render bounce.

On the client, Vue does its own thing: the auth binding exposes signIn/signUp/useSession as Vue refs, screens are .vue components under app/pages/ (sign-in.vue, dashboard/[id].vue), chrome lives in app/components/ and app/layouts/, and SPA-side guards are app/middleware/*.ts. The design system is shadcn-vue on reka-ui — a real re-port, not the React components wearing new names — and it is checked with vue-tsc, since plain tsc cannot parse an SFC.

MySQL 8

MySQL 8 here is the mysql2 driver under Drizzle's mysql-core dialect: drizzle({ client: pool }) over one module-level mysql.createPool(DATABASE_URL). mysql2's pool multiplexes connections itself, so a single pool per module is the right shape — the runtime and the pool handle concurrency, with no globalThis singleton needed. The framework decides where that file lands (src/lib/db.ts on Next, app/lib/db.ts on React Router, server/lib/db.ts on Nuxt); the client text is the same in all three. The dialect's constraints show up directly in the column types.

MySQL cannot index a TEXT column without a prefix length, so anything that is a primary key, a UNIQUE, an index or a CHECK target is varchar with a declared length: ids are varchar(36) with no database default — the application generates them with crypto.randomUUID(), since there is no uuid type and no defaultRandom() — Better Auth's user.id and every FK pointing at it are varchar(255), an email or slug is varchar(255), a role or status varchar(32), a SHA-256 hex digest varchar(64). Free-form columns nobody indexes stay text. Timestamps are plain timestamp().defaultNow() without the withTimezone flag the Postgres bodies carry, and counters are bigint({ mode: "number" }). The operational difference that matters most: MySQL has no row-level security.

There is no policy layer to fall back on, so multi-tenant isolation is enforced in application code by forOrg(db, orgId) in src/lib/tenant.ts, which wraps each org-owned table's select/update/delete with a where on organization_id and throws on a missing orgId instead of quietly running unscoped. It is a real boundary only while every read and write goes through it — the shared plans catalog sits deliberately outside — and it is app-enforced, not database-enforced. Connections change with the deploy target: connectionLimit 2 per short-lived serverless instance, 10 in a long-running Node process, and on Cloudflare Workers mysql2 cannot run at all — there are no TCP sockets — so the edge client swaps to @planetscale/database over HTTP with drizzle-orm/planetscale-serverless.

Supabase Auth

Supabase Auth is a hosted service — GoTrue — that your app reaches over cookies rather than an SDK session object. Credentials and the canonical user records live in Supabase's managed auth.users schema. What lands in your own database is a mirror: db/auth-schema.ts declares user keyed by the Supabase auth uid (text; varchar(255) on MySQL) with email, full name, avatar URL and timestamps, so app-type schemas can foreign-key user exactly as they would under a self-hosted auth. Unlike the Clerk fragment, no sync webhook is emitted here, because Supabase's own trigger mechanism is the intended path: a trigger on auth.users writing into public.user lives in the Supabase project, not in the drizzle migration.

The migration owns the mirror's column shape and nothing else, so wiring that trigger is a step you take before those foreign keys mean anything. The mechanic that actually shapes this adapter is cookie refresh. @supabase/ssr rotates the auth token, and a rotated cookie only reaches the browser if something writes it onto the outgoing response — which is why every framework branch is built around the same getAll/setAll pair, wired to whatever that framework calls a cookie jar. Next's src/proxy.ts rebuilds the NextResponse inside setAll before calling getUser().

React Router has no middleware layer, so app/lib/supabase/server.ts constructs the client per request and returns { supabase, headers }, and the protected layout route attaches those headers to both exits — the redirect and the pass-through — so a refresh that happened during a guard is not lost. Nuxt's server/utils/supabase.ts binds the client to the h3 event and writes through setCookie, with a Nitro middleware doing the guard. Every decision point calls supabase.auth.getUser(), never getSession(): getSession reads whatever the cookie claims, getUser revalidates it against Supabase. Because a browser client is emitted alongside the server one, the auth screens are real forms calling supabase.auth.signInWithPassword rather than a hosted widget, and the sidebar's user menu subscribes to onAuthStateChange. Two consequences to plan around.

The anon key is public by design and is inlined into the client bundle under whichever prefix the framework demands (NEXT_PUBLIC_, VITE_, NUXT_PUBLIC_), so protection has to come from row-level security on Supabase's side, not from keeping the key quiet. And every guard is a network call to Supabase, not a local query — cheap, but not free, and on the path of every protected request.