Product analytics on React Router v8, MySQL 8 and Clerk
Type-checked against the real SDKs, migration applied to a live MySQL 8, connection clients load-tested, then tracked for upstream drift and re-verified when it moves. How we verify
session validation runs in server components and route handlers, not at the edge
What you're getting
React Router v8 (framework mode) — SSR, config/file routes under app/, loaders/actions, and resource routes for API endpoints.
MySQL 8 via Drizzle ORM and the mysql2 driver.
Clerk — hosted identity (sign-in UI, sessions, user management) mounted via middleware + provider.
Product-analytics schema — tracked apps with unique ingest keys, an append-only event stream, session windows, and saved funnels, all hung off Better Auth's user table.
Setup
bun add react-router react react-dom drizzle-orm mysql2 @clerk/nextjsDATABASE_URLMySQL connection string (mysql://…)NEXT_PUBLIC_CLERK_PUBLISHABLE_KEYCLERK_SECRET_KEYCLERK_WEBHOOK_SECRETsvix secret that verifies Clerk webhook signaturesApply the schema with bunx drizzle-kit push
Initialization
Database client
Product analytics schema: tracked apps, events, sessions & funnels
Tracked apps & ingest keysowner-scoped app registrations, each with a unique api_key used to authenticate inbound event writes
Events (append-only)the raw, immutable event stream keyed by app and timestamp, with freeform JSONB properties and an optional anonymous visitor id
Sessionsvisitor session windows (start/end timestamps) correlated to events via anonymous_id, with nullable ended_at for open sessions
Funnelssaved multi-step funnel definitions stored as JSONB steps arrays, scoped per tracked app
Verified identity sync (Clerk)
Deploy targets
Decisions and compatibility
Framework mode (not data/library mode): routes live under app/, declared in app/routes.ts. API endpoints are resource routes (a route module exporting loader/action but no default component).
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: Clerk owns identity and does NOT create a local `user` table. Store `clerk_user_id` as text without a foreign key, or sync Clerk users into a local table via webhook before relying on FKs to `user`.
api_key on tracked_apps carries a unique constraint: each app gets exactly one ingest key, and the key is the authentication surface for the event ingestion endpoint.
events is append-only (no update path, no status column) — the composite index on (app_id, occurred_at) is the only query handle; roll-up queries must scan that index, not mutate rows.
Clerk is a hosted identity provider and does not create a local `user` table. This schema's foreign keys to `user` assume a local identity table (as Better Auth provides). With Clerk, store `clerk_user_id` as a text column without a foreign key, or sync Clerk users into a local `users` table via webhook before relying on these FKs.
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.