d1-drizzle-schema

jezweb/claude-skills · updated Apr 8, 2026

$npx skills add https://github.com/jezweb/claude-skills --skill d1-drizzle-schema
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summary

Generate Drizzle ORM schemas for Cloudflare D1 with D1-specific SQLite patterns and constraints.

  • Handles D1 quirks: enforced foreign keys, no native BOOLEAN/DATETIME types, 100 bound parameter limit, and JSON stored as TEXT
  • Produces schema files, type exports, migration commands, and DATABASE_SCHEMA.md documentation
  • Includes bulk insert batching logic and D1 runtime query patterns for Workers
  • Reference guides cover D1 vs standard SQLite differences, column type patterns, and migra
skill.md

D1 Drizzle Schema

Generate correct Drizzle ORM schemas for Cloudflare D1. D1 is SQLite-based but has important differences that cause subtle bugs if you use standard SQLite patterns. This skill produces schemas that work correctly with D1's constraints.

Critical D1 Differences

Feature Standard SQLite D1
Foreign keys OFF by default Always ON (cannot disable)
Boolean type No No — use integer({ mode: 'boolean' })
Datetime type No No — use integer({ mode: 'timestamp' })
Max bound params ~999 100 (affects bulk inserts)
JSON support Extension Always available (json_extract, ->, ->>)
Concurrency Multi-writer Single-threaded (one query at a time)

Workflow

Step 1: Describe the Data Model

Gather requirements: what tables, what relationships, what needs indexing. If working from an existing description, infer the schema directly.

Step 2: Generate Drizzle Schema

Create schema files using D1-correct column patterns:

import { sqliteTable, text, integer, real, index, uniqueIndex } from 'drizzle-orm/sqlite-core'

export const users = sqliteTable('users', {
  // UUID primary key (preferred for D1)
  id: text('id').primaryKey().$defaultFn(() => crypto.randomUUID()),

  // Text fields
  name: text('name').notNull(),
  email: text('email').notNull(),

  // Enum (stored as TEXT, validated at schema level)
  role: text('role', { enum: ['admin', 'editor', 'viewer'] }).notNull().default('viewer'),

  // Boolean (D1 has no BOOL — stored as INTEGER 0/1)
  emailVerified: integer('email_verified', { mode: 'boolean' }).notNull().default(false),

  // Timestamp (D1 has no DATETIME — stored as unix seconds)
  createdAt: integer('created_at', { mode: 'timestamp' }).notNull().$defaultFn(() => new Date()),
  updatedAt: integer('updated_at', { mode: 'timestamp' }).notNull().$defaultFn(() => new Date()),

  // Typed JSON (stored as TEXT, Drizzle auto-serialises)
  preferences: text('preferences', { mode: 'json' }).$type<UserPreferences>(),

  // Foreign key (always enforced in D1)
  organisationId: text('organisation_id').references(() => organisations.id, { onDelete: 'cascade' }),
}, (table) => ({
  emailIdx: uniqueIndex('users_email_idx').on(table.email),
  orgIdx: index('users_org_idx').on(table.organisationId),
}))

See references/column-patterns.md for the full type reference.

Step 3: Add Relations

Drizzle relations are query builder helpers (separate from FK constraints):

import { relations } from 'drizzle-orm'

export const usersRelations = relations(users, ({ one, many }) => ({
  organisation: one(organisations, {
    fields: [users.organisationId],
    references: [organisations.id],
  }),
  posts: many(posts),
}))

Step 4: Export Types

export type User = typeof users.$inferSelect
export type NewUser = typeof users.$inferInsert

Step 5: Set Up Drizzle Config

Copy assets/drizzle-config-template.ts to drizzle.config.ts and update the schema path.

Step 6: Add Migration Scripts

Add to package.json:

{
  "db:generate": "drizzle-kit generate",
  "db:migrate:local": "wrangler d1 migrations apply DB --local",
  "db:migrate:remote": "wrangler d1 migrations apply DB --remote"
}

Always run on BOTH local AND remote before testing.

Step 7: Generate DATABASE_SCHEMA.md

Document the schema for future sessions:

  • Tables with columns, types, and constraints
  • Relationships and foreign keys
  • Indexes and their purpose
  • Migration workflow

Bulk Insert Pattern

D1 limits bound parameters to 100. Calculate batch size:

const BATCH_SIZE = Math.floor(100 / COLUMNS_PER_ROW)
for (let i = 0; i < rows.length; i += BATCH_SIZE) {
  await db.insert(table).values(rows.slice(i, i + BATCH_SIZE))
}

D1 Runtime Usage

import { drizzle } from 'drizzle-orm/d1'
import * as schema from './schema'

// In Worker fetch handler:
const db = drizzle(env.DB, { schema })

// Query patterns
const all = await db.select().from(schema.users).all()           // Array<User>
const one = await db.select().from(schema.users).where(eq(schema.users.id, id)).get()  // User | undefined
const count = await db.select({ count: sql`count(*)` }).from(schema.users).get()

Reference Files

When Read
D1 vs SQLite, JSON queries, limits references/d1-specifics.md
Column type patterns for Drizzle + D1 references/column-patterns.md

Assets

File Purpose
assets/drizzle-config-template.ts Starter drizzle.config.ts for D1
assets/schema-template.ts Example schema with all common D1 patterns

Discussion

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general reviews

Ratings

4.667 reviews
  • Dhruvi Jain· Dec 24, 2024

    d1-drizzle-schema reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Zara Shah· Dec 20, 2024

    Keeps context tight: d1-drizzle-schema is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Hana Li· Dec 16, 2024

    d1-drizzle-schema reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Henry Abbas· Dec 16, 2024

    Registry listing for d1-drizzle-schema matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Noah Gonzalez· Dec 8, 2024

    Registry listing for d1-drizzle-schema matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Aarav Desai· Dec 4, 2024

    Useful defaults in d1-drizzle-schema — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Fatima Choi· Nov 27, 2024

    Useful defaults in d1-drizzle-schema — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Fatima Farah· Nov 23, 2024

    Registry listing for d1-drizzle-schema matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Oshnikdeep· Nov 15, 2024

    I recommend d1-drizzle-schema for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Rahul Santra· Nov 11, 2024

    We added d1-drizzle-schema from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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