首页/AI 后端工程/prisma-next-runtime
P

prisma-next-runtime

by @prismav
4.3(120)

该技能用于生成和配置 Prisma Next 的数据库入口文件 db.ts,支持 Postgres、SQLite、Mongo 三种数据库,集成中间件(遥测、检查、预算)、环境变量配置、事务和连接池管理。它帮助开发者快速搭建类型安全的数据库客户端,避免脚本挂起、连接泄露等问题,显著提升后端开发效率。

prismadatabaseruntimetypescriptbackendGitHub
安装方式
npx skills add https://github.com/prisma/prisma-next --skill prisma-next-runtime
compare_arrows

Before / After 效果对比

1 组
使用前

开发者手动编写 db.ts,需要处理环境变量、连接池、事务、中间件等,经常遇到配置错误、脚本不退出(挂起)等问题,平均耗时 60 分钟。

使用后

此技能自动生成 db.ts,提供惰性连接、类型安全、中间件组合,并确保脚本正常退出,平均耗时仅 10 分钟。

SKILL.md

Prisma Next — Runtime (db.ts Wiring)

Edit your data contract. Prisma handles the rest.

This skill covers the runtime entry point — db.ts — and how to compose the database client with extensions, middleware, and environment configuration.

When to Use

  • User is wiring up db.ts for the first time (post-init).
  • User wants to add middleware (telemetry, lints, budgets, custom).
  • User wants per-environment config (dev vs prod, multi-region).
  • User wants to switch between the Postgres, SQLite, and Mongo façades.
  • User wants to wrap operations in db.transaction(...) (Postgres and SQLite).
  • User is running a one-off script (tsx my-script.ts, Node CLI, CI task) and the process won't exit after queries finish, or they need script teardown (db.close(), await using).
  • User mentions: db.ts, postgres(), mongo(), middleware, telemetry, lints, budgets, DATABASE_URL, .env, connection pool, poolOptions, dev vs prod, transactions, read replicas, multi-database, script won't exit, hangs, db.close, db.end, close connection, pool.end, await using.

When Not to Use

  • User wants to write queries → prisma-next-queries.
  • User is on Supabase — the supabase() role-first factory, asUser(jwt) / asAnon() / asServiceRole(), JWT config, RLS → prisma-next-supabase.
  • User wants to edit the contract → prisma-next-contract.
  • User wants to wire Prisma Next into a build tool (Vite plugin, Next.js, …) → prisma-next-build.
  • User wants to debug a connection / runtime error → prisma-next-debug.
  • User wants to file a bug or feature request → prisma-next-feedback.

Key Concepts

  • db.ts is the runtime entry point. Imports the runtime factory from the @prisma-next/<target> façade (@prisma-next/postgres/runtime, @prisma-next/sqlite/runtime, or @prisma-next/mongo/runtime), the contract artefacts (contract.json + the Contract type from contract.d.ts), and any middleware. Exports a db value the rest of your app imports.
  • The façade's runtime factory is the only surface user-authored db.ts imports from. Each factory is a default export. For Postgres: import postgres from '@prisma-next/postgres/runtime'; SQLite: import sqlite from '@prisma-next/sqlite/runtime'; Mongo: import mongo from '@prisma-next/mongo/runtime'. The factory signature is <Target><Contract>(options) — a single type parameter (the Contract type from contract.d.ts), and one options object.
  • Lazy connect. The factory does not connect to the database synchronously. Static query surfaces (db.sql, db.orm) are available immediately; the driver / pool is instantiated on the first call that needs a runtime (or when you explicitly call await db.connect({ url })). This is why db.ts can be imported in modules that load before the env is ready.
  • Middleware composes in order. The first middleware in the middleware: [...] array runs outermost — it sees the operation first on the way in and last on the way out. Telemetry first means budget / lint failures show up inside telemetry spans.
  • prisma-next.config.ts vs .env. The config (defineConfig({ contract, db, extensions, migrations })) is for static project shape: contract path, installed extensions, migrations directory, default connection string. .env is for per-environment values (DATABASE_URL, secrets). The config reads .env automatically via dotenv/config. Hardcoding DATABASE_URL in the config file leaks credentials and bypasses per-env overrides.
  • Build-system / dev-server integration is a separate skill. vite dev auto-emit lives in prisma-next-build. The runtime side (this skill) reads contract.json / contract.d.ts regardless of how they got onto disk, so the two skills compose cleanly.

Workflow — Basic db.ts

The concept: db.ts is the seam between the emitted contract artefacts (target-shaped) and the runtime that executes queries against them. Three imports are load-bearing — the runtime factory, the Contract type (so the static query surfaces are typed), and the JSON artefact (so the runtime validates the structure at construct time).

init scaffolds something like this (for --target postgres):

// src/prisma/db.ts
import postgres from '@prisma-next/postgres/runtime';
import type { Contract } from './contract.d';
import contractJson from './contract.json' with { type: 'json' };

export const db = postgres<Contract>({
  contractJson,
  url: process.env['DATABASE_URL'],
});

(init currently scaffolds at prisma/db.ts instead — see TML-2532 in prisma-next-quickstart. The canonical path is src/prisma/db.ts; the rest of src/ imports from ./prisma/db or ../prisma/db depending on depth.)

Three things to know:

  • <Contract> type parameter is load-bearing. Without it, the static surfaces collapse to a generic shape and you lose autocomplete on model names. Always import Contract from the emitted ./contract.d.ts.
  • with { type: 'json' } is required. Node's ESM JSON-import-attribute spec. Without it, the import errors.
  • url is optional at construct time. If DATABASE_URL is not set when db.ts loads, the factory still returns a client; you can call await db.connect({ url }) later. The factory throws lazily — only when a runtime is actually needed.

The Mongo façade has the same construction shape — import mongo from '@prisma-next/mongo/runtime' — and the same db.connect(...) / db.close() lifecycle methods. The Mongo façade does not expose db.transaction(...). See What Prisma Next doesn't do yet for the workaround. The ORM surface differs in one place: keys. On Mongo, db.orm is keyed by the collection's storage name (from @@map(...), or the lowercased model name if no @@map is set), not by the PSL model name — so model User { … @@map("users") } is reached at db.orm.users, not db.orm.User. The SQL builder lane (db.sql.<table>) doesn't exist on Mongo at all (db.sql is undefined). See prisma-next-queries § MongoDB ORM addressing for the full rule and a rewrite recipe for SQL-target examples.

Workflow — Running as a script (teardown)

The concept: short scripts that connect, query, then expect the process to exit will hang on Postgres because the façade-owned pg.Pool keeps Node's event loop alive. The data round-trip succeeds; the script never exits. Call await db.close() before the script returns (or use await using at the top of a script module so teardown runs when the module exits — see the block-scope warning below for why this matters).

Plain shape — export db from db.ts, import it in the script, close at the end:

// src/scripts/hello.ts
import { db } from '../prisma/db';

const created = await db.orm.User.create({ email: 'alice@example.com', name: 'Alice' });
const read = await db.orm.User.first();
console.log({ created, read });

await db.close();

TS 5.2+ idiomatic shape — construct the client at the top of a script module and let [Symbol.asyncDispose] call close() when the module exits:

// src/scripts/hello.ts — top-level await in a script module
import postgres from '@prisma-next/postgres/runtime';
import type { Contract } from '../prisma/contract.d';
import contractJson from '../prisma/contract.json' with { type: 'json' };

await using db = postgres<Contract>({ contractJson, url: process.env.DATABASE_URL! });

const user = await db.orm.User.first();
console.log(user);
// db.close() runs automatically when the script module exits.

await using is block-scoped — do not put it inside a request handler

This is the most important rule in this section. await using db = postgres(...) disposes when the enclosing block exits. In a script module, that block is the module body and disposal fires at process exit — fine. In a request handler, the enclosing block is the handler function, so disposal fires after every request — a fresh pg.Pool per call, TCP-connect storm, hot loop tearing connections up and down.

// DO NOT do this — closes the pool after every request.
app.get('/users', async (req, res) => {
  await using db = postgres<Contract>({ contractJson, url: process.env.DATABASE_URL! });
  const users = await db.orm.User.all();
  res.json(users);
});

The right server pattern is a module-level singleton in db.ts, imported by handlers, never closed during the process lifetime:

// src/prisma/db.ts — constructed once, lives for the process
export const db = postgres<Contract>({ contractJson, url: process.env.DATABASE_URL });

// src/routes/users.ts
import { db } from '../prisma/db';

app.get('/users', async (req, res) => {
  const users = await db.orm.User.all();
  res.json(users);
});

Servers (HTTP handlers, workers in a request loop) do not call db.close() at all in steady state. The pool stays open for the process lifetime. db.close() and await using are for short-lived scripts — tsx my-script.ts, Node CLI commands, CI tasks, one-off seed runs — not for code that runs inside a request loop.

Semantics:

  • close() is idempotent. Calling it twice is a no-op.
  • close() is terminal. There is no reconnect on a closed db — construct a new client if you need another connection. After close, db.runtime(), db.connect(...), db.transaction(...), and db.prepare(...) reject with Error('<target> client is closed') (e.g. 'Postgres client is closed', 'SQLite client is closed', 'Mongo client is closed').
  • close() does not abort in-flight queries. await outstanding work before calling close(). Async iterators from db.runtime().execute(plan) and PreparedStatement handles held after close() fail on their next call.
  • Ownership. close() releases only what the façade constructed (pg.Pool from { url }, MongoClient from { url } / { uri, dbName }, SQLite handle from { path }). If you supplied your own pg.Pool / pg.Client (Postgres pg: option), mongodb.MongoClient (Mongo mongoClient: option), or a pre-built binding, db.close() does not touch those — you own their lifecycle.

db.end() does not exist. The universal node-postgres name is pool.end() on a pg.Pool; the Prisma Next runtime client is not a pg.Pool. The right call is await db.close().

Workflow — Telemetry middleware

The concept: telemetry middleware sees every operation and emits a structured event for each (start, success, error). Pair the events with your observability stack's collector.

import postgres from '@prisma-next/postgres/runtime';
import { createTelemetryMiddleware } from '@prisma-next/middleware-telemetry';
import type { Contract } from './contract.d';
import contractJson from './contract.json' with { type: 'json' };

export const db = postgres<Contract>({
  contractJson,
  url: process.env['DATABASE_URL'],
  middleware: [
    createTelemetryMiddleware({
      onEvent: (event) => {
        // forward to your collector, log, etc.
      },
    }),
  ],
});

createTelemetryMiddleware is shipped as a separate user-installable package (@prisma-next/middleware-telemetry), not as a /middleware subpath of the postgres façade. Install it directly. Run pnpm ls @prisma-next/middleware-telemetry to confirm it's on the lockfile.

Workflow — Lints and budgets middleware

The concept: lints catch authoring mistakes that survive type-check (e.g. DELETE without a WHERE, SELECT without a LIMIT on a large table); budgets enforce row-count and latency ceilings at runtime. Both surface findings through the structured-error envelope so an agent can branch on the code.

These ship in the underlying SQL runtime package (@prisma-next/sql-runtime) and are not yet re-exported from the postgres façade — see What Prisma Next doesn't do yet. The example apps under examples/prisma-next-demo/src/prisma/db.ts show the canonical import.

import postgres from '@prisma-next/postgres/runtime';
import { budgets, lints } from '@prisma-next/sql-runtime';
import type { Contract } from './contract.d';
import contractJson from './contract.json' with { type: 'json' };

export const db = postgres<Contract>({
  contractJson,
  url: process.env['DATABASE_URL'],
  middleware: [
    lints({
      severities: {
        selectStar: 'warn',
        noLimit: 'error',
        deleteWithoutWhere: 'error',
        updateWithoutWhere: 'error',
        readOnlyMutation: 'error',
      },
    }),
    budgets({
      maxRows: 10_000,
      defaultTableRows: 10_000,
      tableRows: { user: 10_000, post: 50_000 },
      maxLatencyMs: 1_000,
      severities: { rowCount: 'error', latency: 'warn' },
    }),
  ],
});

For the full option surface, read the source: packages/2-sql/5-runtime/src/middleware/lints.ts and .../budgets.ts. The severities keys (selectStar, noLimit, deleteWithoutWhere, updateWithoutWhere, readOnlyMutation for lints; rowCount, latency for budgets) are the source of truth; do not extrapolate to a key that ripgrep can't find.

Workflow — Compose multiple middleware

middleware: [
  createTelemetryMiddleware({ onEvent }),  // outermost — sees all sub-failures as inner errors
  lints({ severities: { noLimit: 'error' } }),
  budgets({ maxLatencyMs: 5_000 }),         // innermost — runs closest to the driver
],

Order matters: outermost wraps. Telemetry first means budget / lint failures are captured as spans (the agent can correlate the lint code with the operation in the same trace).

Workflow — Configure the connection

The concept: the runtime takes one of three binding shapes — url, pg (a pre-constructed pg.Pool or pg.Client), or binding (an explicit kind tag). They're mutually exclusive. The pg form is for projects that already manage their own pool (e.g. a Lambda layer); url is the default. Pool tuning is poolOptions.connectionTimeoutMillis / poolOptions.idleTimeoutMillis — not driverOptions.

// Default — URL string, factory constructs the pool.
postgres<Contract>({
  contractJson,
  url: process.env['DATABASE_URL'],
  poolOptions: {
    connectionTimeoutMillis: 20_000,
    idleTimeoutMillis: 30_000,
  },
});

// BYO pool — pass a pg.Pool you already created.
import { Pool } from 'pg';
const pool = new Pool({ connectionString: process.env['DATABASE_URL'] });
postgres<Contract>({ contractJson, pg: pool });

The url and pg keys are mutually exclusive at the type level; passing both errors.

DATABASE_URL lives in .env. The CLI reads it for emit / verify / migration commands; the runtime reads it through process.env at db.ts load time.

Workflow — Per-environment config (dev vs prod)

The concept: one DATABASE_URL per environment; the rest of the db.ts shape is the same. For middleware divergence (e.g. strict lints in dev only), branch in db.ts on `process.en

...

用户评价 (0)

发表评价

效果
易用性
文档
兼容性

暂无评价

统计数据

安装量2.0K
评分4.3 / 5.0
版本
更新日期2026年10月11日
对比案例1 组

用户评分

4.3(120)
5
37%
4
43%
3
13%
2
5%
1
2%

为此 Skill 评分

0.0

兼容平台

🤖claude-code

时间线

创建2026年8月16日
最后更新2026年10月11日
🎁 Agent 知识卡片
调研问卷