Helpdesk / support on Nuxt 4, MySQL 8 and Supabase Auth
Customer support desk: tickets with status/priority queues, threaded messages with internal notes, agent profiles, and seed-managed SLA policies.
79 files, 4 tables and 132 lines of schema, verified 2026-08-23 on Nuxt 4, MySQL 8 and Supabase Auth.
16 pinned upstream versions
request path. session validation runs in server components and route handlers, not at the edge
What you're getting
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.
Customer support desk: tickets with status/priority queues, threaded messages with internal notes, agent profiles, and seed-managed SLA policies.
Setup
bun add nuxt vue drizzle-orm mysql2 @supabase/ssr @supabase/supabase-jsDATABASE_URLMySQL connection string (mysql://…)NEXT_PUBLIC_SUPABASE_URLNext: your Supabase project URL (RR: VITE_SUPABASE_URL · Nuxt: NUXT_PUBLIC_SUPABASE_URL)NEXT_PUBLIC_SUPABASE_ANON_KEYNext: the project's anon/public key (RR: VITE_SUPABASE_ANON_KEY · Nuxt: NUXT_PUBLIC_SUPABASE_ANON_KEY)SUPABASE_URLReact Router server-side (loaders): same project URL, read off process.env — never inlined into the client bundleSUPABASE_ANON_KEYReact Router server-side: same anon keyApply the schema with bunx drizzle-kit push
Initialization
Database client
Helpdesk schema: tickets, messages, agents & SLA policies
4 tables, 21 columns and 8 indexes and constraints, applied to a live MySQL 8 and asserted to materialize.
tickets6 columns · 3 indexedticket_messages6 columns · 2 indexedagents4 columns · 2 indexedsla_policies5 columns · 1 indexedWhat this schema is built to answer
tickets, served by idx_ticket_status_priority on (status, priority) — the status filter is the index prefix and the priority ordering inside that band comes from the same index, so the queue view needs no sort.
tickets, via idx_ticket_requester on requester_id, the FK column into Better Auth's user table; the same index backs the 'do they have an open one already?' check on a new submission.
ticket_messages, read through idx_message_ticket on (ticket_id, created_at) for the oldest-first conversation, then narrowed by the is_internal boolean before rendering to a requester.
agents, where agents_user_unique on user_id is a unique index: the staff check is one key lookup, and the database refuses a second agent profile for the same person.
sla_policies matched to tickets on priority — both guarded by the same four-value CHECK — with first_response_mins and resolve_mins as integer minutes added to created_at. The policy table is small and unindexed by design; it is seeded, not queried hot.
Tickets & status/priority queuethe core support request with open/pending/solved/closed status and low/normal/high/urgent priority, indexed for queue views
Ticket messages & internal notesappend-only thread rows on each ticket; is_internal hides agent-only notes from the requester
Agents & team assignmentone agent profile per Better Auth user (unique on user_id), with an optional team field for queue segmentation
SLA policies per priorityseed-managed response and resolution targets in integer minutes, keyed by priority tier
Deploy targets
The app UI
Decisions and compatibility
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().
Status and priority are text + CHECK (not pgEnum), so adding a new value (e.g. 'escalated') ships without an ALTER TYPE migration — consistent with the house style in packages/db/src/schema.ts.
agents carries a unique constraint on user_id (one profile per user) and sla_policies carries no unique on priority, allowing multiple named policies at the same priority tier for different customer tiers.
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.
How this stack fits together
On Nuxt 4 this stack puts its MySQL 8 client at server/lib/db.ts and the Supabase Auth instance at app/middleware/auth.ts and session checks in server/middleware/supabase.ts. Those are the paths this framework's adapter actually emits, not a shared convention: the same Helpdesk / support schema and the same Supabase Auth wiring land somewhere different on each of the other frameworks in the registry.
Supabase Auth owns its identity tables in the same database as tickets, ticket_messages, agents and sla_policies, so the foreign keys reference the local user row directly and a delete cascades through them. No mirror, no webhook, and no window where the two stores disagree.
MySQL 8 stores those surrogate keys as varchar(36), so every foreign key across the 4 tables and 21 columns below is a varchar(36) column. The migration was applied to a live MySQL 8 and the tables asserted, not just type-checked.
Helpdesk / support
A support desk is a queue with a conversation attached, and these four tables are arranged around exactly that. A ticket is a row in tickets: a requester_id pointing at Better Auth's user.id as text, a subject, and two graded columns. There is no separate customer entity — the person who opens a ticket and the person who answers it are rows in the same identity table, distinguished only by whether an agents row exists for them. status walks open, pending, solved, closed; priority runs low, normal, high, urgent. Both are text under named CHECK constraints (tickets_status_check, tickets_priority_check) rather than pgEnum, so introducing an 'escalated' state replaces a constraint instead of altering a live type. Two indexes carry the reads, and they point in opposite directions.
idx_ticket_status_priority on (status, priority) is the queue: filtering to open tickets uses the leading column, and ranking urgent work inside that band falls out of the same structure. idx_ticket_requester on requester_id is the customer's own history. ticket_messages holds the thread — body plus an is_internal boolean that separates a public reply from an agent-only note — indexed on (ticket_id, created_at) so a conversation loads oldest-first from one range, with is_internal applied as a filter over that small result rather than as its own index. agents is deliberately thin: one row per Better Auth user, an optional free-text team, and agents_user_unique on user_id holding it to one profile per person. Note what is absent. There is no assignee column on tickets and no ticket-to-agent join table.
Staffing here means who works the desk, not who owns which ticket; adding round-robin ownership means adding a column, and the queue index will not cover it. sla_policies is seed data rather than transactional rows: a name, a priority tier, and two integer minute budgets, first_response_mins and resolve_mins. Nothing foreign-keys it to a ticket, and no unique constrains priority, so two named policies can both sit at urgent for different customer tiers and your resolution rule decides which applies. Minutes as integers keep the deadline arithmetic exact — a target is created_at plus an interval, with no float rounding in the middle.
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.
