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Fernandez Ruiz"},"license":"MIT","homepage":"https://github.com/pablofdezr/housekit#readme","keywords":["clickhouse","orm","typescript","type-safe","query-builder","database","sql","analytics","olap","drizzle","turbo-mode","rowbinary"],"repository":{"type":"git","url":"git+https://github.com/pablofdezr/housekit.git","directory":"packages/orm"},"description":"Type-safe ClickHouse ORM with modern DX and ClickHouse-specific optimizations. Features optimized JSONCompact streaming, full engine support, and advanced query capabilities.","maintainers":[{"name":"pablofdezr","email":"pablofdezruiz@gmail.com"}],"readme":"# @housekit/orm 🏠⚡️\n\n**The high-performance, type-safe ClickHouse ORM for Node.js and Bun.**\n\n> ⚠️ **Public Beta**: This package is currently in public beta. Feedback is highly appreciated as we polish API for v1.0.\n\n> 💡 **Interactive Docs**: Use [RepoGrep](https://app.ami.dev/repogrep?repo=https://github.com/pablofdezr/housekit) to search and query entire codebase and documentation for free (Updated instantly).\n\n> 💡 **Ask ZRead**: Need deep insights? [Ask ZRead](https://zread.ai/pablofdezr/housekit) for AI-powered understanding of codebase (Updated weekly).\n\n> 💡 **Ask Devin AI**: Have questions about integrating HouseKit? [Ask Wiki](https://deepwiki.com/pablofdezr/housekit) for AI-powered assistance (Updated weekly).\n\nHouseKit ORM is a modern database toolkit designed specifically for ClickHouse. It bridges gap between ergonomic developer experiences and extreme performance requirements of high-volume OLAP workloads.\n\n[![npm version](https://img.shields.io/npm/v/@housekit/orm.svg)](https://www.npmjs.com/package/@housekit/orm)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n[![Documentation](https://img.shields.io/badge/Docs-RepoGrep-teal?style=flat-square)](https://app.ami.dev/repogrep?repo=https://github.com/pablofdezr/housekit)\n[![zread](https://img.shields.io/badge/Ask_Zread-_.svg?style=flat&color=00b0aa&labelColor=000000&logo=data%3Aimage%2Fsvg%2Bxml%3Bbase64%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%2BCjxwYXRoIGQ9Ik00Ljk2MTU2IDEwLjM5OTlIMi4yNDE1NkMxLjg4ODEgMTAuMzk5OSAxLjYwMTU2IDEwLjY4NjQgMS42MDE1NiAxMS4wMzk5VjEzLjc1OTlDMS42MDE1NiAxNC4xMTM0IDEuODg4MSAxNC4zOTk5IDIuMjQxNTYgMTQuMzk5OUg0Ljk2MTU2QzUuMzE1MDIgMTQuMzk5OSA1LjYwMTU2IDEwLjM5OTlaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik00Ljk2MTU2IDEwLjM5OTlIMi4yNDE1NkMxLjg4ODEgMTAuMzk5OSAxLjYwMTU2IDEwLjY4NjQgMS42MDE1NiAxMS4wMzk5VjEzLjc1OTlDMS42MDE1NiAxNC4xMTM0IDEuODg4MSAxNC4zOTk5IDIuMjQxNTYgMTQuMzk5OUg0Ljk2MTU2QzUuMzE1MDIgMTQuMzk5OSA1LjYwMTU2IDEwLjM5OTlaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik00IDEyTDEyIDQiIHN0cm9rZT0iI2ZmZiIgc3Ryb2tlLXdpZHRoPSIxLjUiIHN0cm9rZS1saW5lY2FwPSJyb3VuZCIvPgo8L3N2Zz4K&logoColor=ffffff)](https://zread.ai/pablofdezr/housekit)\n[![Documentation](https://img.shields.io/badge/Wiki-Devin%20AI-blueviolet?style=flat-square)](https://deepwiki.com/pablofdezr/housekit)\n[![Documentation](https://img.shields.io/badge/Docs-WarpGrep-blue?style=flat-square)](https://www.morphllm.com/playground/na/warpgrep?repo=pablofdezr%2Fhousekit)\n\n[![npm](https://nodei.co/npm/@housekit/orm.png)](https://www.npmjs.com/package/@housekit/orm)\n\n---\n\n## 🚀 Key Features\n\n- **🛡️ First-Class TypeScript**: Full type inference for every query. Schema definition acts as the single source of truth.\n- **🏎️ High-Performance Inserts**: Optimized streaming with JSONCompact format and sync insert mode.\n- **🏗️ ClickHouse Native Engines**: Fluent DSL for `MergeTree`, `ReplacingMergeTree`, `SummingMergeTree`, `Distributed`, `Buffer`, and more.\n- **🔍 Advanced Analytics**: Specialized support for `ASOF JOIN`, `ARRAY JOIN`, `PREWHERE`, and complex Window Functions.\n- **🤝 Smart Relational API**: Query relations using `groupArray` internally, preventing row duplication.\n- **📦 Background Batching**: Built-in buffering to collect small inserts into high-performance batches automatically.\n\n---\n\n## 📦 Installation\n\n```bash\nbun add @housekit/orm @clickhouse/client\n```\n\n---\n\n## ⚡️ Quick Start\n\n### 1. Define your Table\n\n```typescript\n// schema.ts\nimport { defineTable, t, Engine, relations } from '@housekit/orm';\n\nexport const users = defineTable('users', {\n  id: t.uuid('id').autoGenerate({ version: 7 }).primaryKey(),\n  email: t.string('email'),\n  role: t.enum('role', ['admin', 'user']),\n  ...t.timestamps(),\n}, {\n  engine: Engine.MergeTree(),\n  orderBy: 'id'\n});\n\nexport const posts = defineTable('posts', {\n  id: t.uuid('id').autoGenerate({ version: 7 }).primaryKey(),\n  userId: t.uuid('user_id'),\n  title: t.string('title'),\n  createdAt: t.timestamp('created_at').default('now()'),\n}, {\n  engine: Engine.MergeTree(),\n  orderBy: 'createdAt'\n});\n\nrelations(users, ({ many }) => ({\n  posts: many(posts, { fields: [users.id], references: [posts.userId] })\n}));\n\nexport type User = typeof users.$type;\nexport type NewUser = typeof users.$insert;\n```\n\n#### UUID Generation Options\n\nHouseKit supports two approaches for UUID generation:\n\n| Approach | Method | When to Use |\n|----------|--------|-------------|\n| **Client-side** | `.autoGenerate({ version: 7 })` | When using `.returning()` or `.returningOne()` |\n| **Server-side** | `.default('generateUUIDv7()')` | When you don't need the ID back immediately |\n\n```typescript\n// Client-side generation (recommended for most cases)\n// UUID is generated in JS before insert, works with returning()\nid: t.uuid('id').autoGenerate({ version: 7 }).primaryKey()\n\n// Server-side generation\n// UUID is generated by ClickHouse, cannot use returning()\nid: t.uuid('id').primaryKey().default('generateUUIDv7()')\n```\n\n**Note:** Don't combine both - it's redundant. Choose one based on whether you need `.returning()` support.\n\n**Custom IDs:** You can always provide your own ID when inserting - autoGenerate only kicks in when the field is `undefined`:\n\n```typescript\n// Auto-generated UUID\nawait db.insert(users).values({ email: 'a@b.com' });\n\n// Custom ID provided by user\nawait db.insert(users).values({ id: 'my-custom-uuid', email: 'a@b.com' });\n```\n\n### 2. Connect and Query\n\n```typescript\nimport { housekit } from '@housekit/orm';\nimport * as schema from './schema';\n\nconst db = housekit({ url: 'http://localhost:8123' }, { schema });\n\n// Standard insert (no data returned)\nawait db.insert(schema.users).values({ email: 'a@b.com', role: 'admin' });\n\n// JSON insert with returning data\nconst [user] = await db\n  .insert(schema.users)\n  .values({ email: 'a@b.com', role: 'admin' })\n  .returning();\n```\n\n---\n\n## 🎯 The `housekit()` Client\n\nThe `housekit()` function creates a fully-featured ClickHouse client with query builders for all operations.\n\n### Client Methods\n\n| Method | Description |\n|--------|-------------|\n| **`db.select()`** | Creates a SELECT query builder |\n| **`db.insert(table)`** | Inserts data into a table |\n| **`db.insertMany(table, data, opts)`** | Bulk inserts with configuration |\n| **`db.update(table)`** | Updates rows in a table |\n| **`db.delete(table)`** | Deletes rows from a table |\n| **`db.raw(sql, params)`** | Executes raw SQL queries |\n| **`db.command({query, query_params})`** | Executes ClickHouse commands |\n| **`db.close()`** | Closes the connection |\n\n### Client Properties\n\n| Property | Description |\n|----------|-------------|\n| **`db.rawClient`** | Raw `@clickhouse/client` instance (direct access) |\n| **`db.query`** ⭐ | **Relational API** - only available if `{ schema }` is passed |\n| **`db.schema`** | Your defined table schema |\n\n### ⭐ The Relational API (`db.query`)\n\n**Only available when you pass a schema:**\n\n```typescript\nconst db = housekit({ url: 'http://localhost:8123' }, { \n  schema: { users, events } \n});\n```\n\nThen you can query using ORM-style methods:\n\n```typescript\n// Find by ID\ndb.query.users.findById('uuid-here');\n\n// Find many with conditions\ndb.query.users.findMany({ where: { role: 'admin' } });\n\n// Find first with columns\ndb.query.users.findFirst({ columns: { id: true, email: true } });\n\n// Find with relations (automatic JOIN)\ndb.query.users.findMany({ \n  with: { posts: true } \n});\n```\n\n### Complete Example\n\n```typescript\nconst db = housekit({ url: 'http://localhost:8123' }, { schema });\n\n// 1. Insert using builder\nawait db.insert(schema.users).values({ email: 'a@b.com', role: 'admin' });\n\n// 2. Regular SELECT\nconst result = await db.select().from(schema.users).where(eq(schema.users.role, 'admin'));\n\n// 3. Relational query (automatic JOIN)\nconst user = await db.query.users.findById('uuid-here', {\n  with: { posts: true }\n});\n\n// 4. Raw SQL\nconst data = await db.raw('SELECT * FROM users LIMIT 10');\n\n// 5. Close connection\nawait db.close();\n```\n\n---\n\n---\n\n## 🔍 Relational Query API\n\n### findMany / findFirst\n\n```typescript\nconst users = await db.query.users.findMany({\n  where: { role: 'admin', active: true },\n  columns: { id: true, email: true },\n  orderBy: (cols, { desc }) => desc(cols.createdAt),\n  limit: 10,\n  with: {\n    posts: { limit: 5 }\n  }\n});\n```\n\n### findById\n\n```typescript\n// Simple lookup\nconst user = await db.query.users.findById('uuid-here');\n\n// With relations\nconst user = await db.query.users.findById('uuid-here', {\n  with: { posts: true }\n});\n```\n\n### where syntax\n\n```typescript\n// Object syntax (simplest)\nwhere: { email: 'a@b.com' }\nwhere: { role: 'admin', active: true }  // AND implícito\n\n// Direct expression\nwhere: eq(users.role, 'admin')\n\n// Callback for complex filters\nwhere: (cols, { and, gt, inArray }) => and(\n  gt(cols.age, 18),\n  inArray(cols.role, ['admin', 'moderator'])\n)\n```\n\nAvailable operators: `eq`, `ne`, `gt`, `gte`, `lt`, `lte`, `inArray`, `notInArray`, `between`, `notBetween`, `has`, `hasAll`, `hasAny`, `and`, `or`, `not`, `isNull`, `isNotNull`\n\n### columns selection\n\nSelect specific columns:\n\n```typescript\nconst users = await db.query.users.findMany({\n  columns: { id: true, email: true }\n});\n// Returns: [{ id: '...', email: '...' }]\n```\n\n### orderBy\n\n```typescript\n// Callback (recommended)\norderBy: (cols, { desc }) => desc(cols.createdAt)\n\n// Multiple columns\norderBy: (cols, { desc, asc }) => [desc(cols.createdAt), asc(cols.name)]\n\n// Direct value\norderBy: desc(users.createdAt)\n\n// Array\norderBy: [desc(users.createdAt), asc(users.name)]\n```\n\n---\n\n## 🚀 High-Performance Inserts\n\n### Default Insert (Sync Mode)\n\nHouseKit uses synchronous inserts by default for maximum speed:\n\n```typescript\n// Standard insert - uses sync mode automatically\nawait db.insert(events).values([\n  { type: 'click', userId: '...' },\n  { type: 'view', userId: '...' },\n]);\n```\n\n### Async Insert (Server-Side Batching)\n\nUse `.asyncInsert()` when you want ClickHouse to batch writes internally:\n\n```typescript\nawait db.insert(events).values(data).asyncInsert();\n```\n\n### JSON Insert with Returning\n\nUse `.returningOne()` for single inserts or `.returning()` for multiple:\n\n```typescript\n// Single insert\nconst user = await db\n  .insert(users)\n  .values({ email: 'a@b.com', role: 'admin' })\n  .returningOne();\n\nconsole.log(user.id); // Generated UUID\n\n// Multiple inserts\nconst [user1, user2] = await db\n  .insert(users)\n  .values([{ email: 'a@b.com' }, { email: 'b@c.com' }])\n  .returning();\n```\n\n### Background Batching\n\nCollect small writes into efficient batches:\n\n```typescript\nconst builder = db.insert(events).batch({ \n  maxRows: 10000, \n  flushIntervalMs: 5000 \n});\n\n// Fire-and-forget\nawait builder.append(event1);\nawait builder.append(event2);\n```\n\n---\n\n## 🧠 Advanced Schema\n\n### Complex Engines\n\n```typescript\n// SummingMergeTree\nexport const dailyRevenue = defineTable('daily_revenue', {\n  day: t.date('day'),\n  revenue: t.float64('revenue'),\n}, {\n  engine: Engine.SummingMergeTree(['revenue']),\n  orderBy: 'day'\n});\n\n// ReplacingMergeTree\nexport const users = defineTable('users', {\n  id: t.uint64('id'),\n  email: t.string('email'),\n  version: t.uint64('version'),\n}, {\n  engine: Engine.ReplacingMergeTree('version'),\n  onCluster: '{cluster}',\n  orderBy: 'id'\n});\n```\n\n### Dictionaries\n\n```typescript\nimport { defineDictionary } from '@housekit/orm';\n\nexport const userCache = defineDictionary('user_dict', {\n  id: t.uint64('id'),\n  country: t.string('country')\n}, {\n  source: { table: users },\n  layout: { type: 'hashed' },\n  lifetime: 300\n});\n```\n\n---\n\n## 🔍 Specialized Joins\n\n### ASOF JOIN\n\n```typescript\nconst matched = await db.select()\n  .from(trades)\n  .asofJoin(quotes, sql`${trades.symbol} = ${quotes.symbol} AND ${trades.at} >= ${quotes.at}`)\n  .limit(100);\n```\n\n### GLOBAL JOIN\n\n```typescript\nawait db.select()\n  .from(distributedTable)\n  .globalJoin(rightTable, condition);\n```\n\n---\n\n## 📦 Bundle Size & Performance\n\nHouseKit is optimized for minimal bundle impact in your applications:\n\n| Metric | Value |\n|--------|-------|\n| **Tarball Size** | 96KB |\n| **Unpacked Size** | 644KB |\n| **Tree Shaking** | ✅ Enabled |\n| **Granular Exports** | 17 paths for precise imports |\n\n### Optimizations\n\n- **Modular Build**: 46 separate JS files vs 1 monolithic bundle\n- **Tree-Shakable**: Consumers can eliminate unused code automatically\n- **Granular Exports**: Import only what you need\n- **No Runtime Overhead**: Zero runtime dependency overhead\n\n### Import Examples\n\n```typescript\n// Import everything (full bundle)\nimport { housekit, Engine, t } from '@housekit/orm';\n\n// Import specific modules only (recommended for tree-shaking)\nimport { Engine } from '@housekit/orm/engines';\nimport { defineTable, t } from '@housekit/orm/schema-builder';\nimport { ClickHouseColumn } from '@housekit/orm/column';\n```\n\n**Note**: While HouseKit includes advanced features like binary serialization, engines, and relations (96KB), the modular structure ensures your bundle only includes what you actually use.\n\n---\n\n## 🛠 SQL Utilities\n\n### Dynamic Queries\n\n```typescript\nconst conditions = [\n  eq(users.active, true),\n  gte(users.age, 18)\n];\n\nconst query = await db.select()\n  .from(users)\n  .where(sql.join(conditions, sql` AND `));\n```\n\n---\n\n## 📊 Benchmarks\n\nPerformance tested on local ClickHouse (Docker) with Bun runtime:\n\n| Rows | Method | Time | Throughput |\n|------|--------|------|------------|\n| 1,000 | JSON | 19ms | 52,632 rows/sec |\n| 1,000 | JSON Sync | 13ms | 76,923 rows/sec |\n| 5,000 | JSON | 118ms | 42,373 rows/sec |\n| 5,000 | JSON Sync | 54ms | 92,593 rows/sec |\n| 10,000 | JSON | 159ms | 62,893 rows/sec |\n| 10,000 | JSON Sync | 161ms | 62,112 rows/sec |\n\nKey findings:\n- **Sync insert is the default** - fastest for most use cases\n- For batches <5k rows, sync is up to **2x faster**\n- For larger batches (10k+), performance is similar\n- Use `.asyncInsert()` only when you need server-side batching\n\nRun the benchmark yourself:\n```bash\nbun run benchmark  # in app directory\n```\n\n---\n\n## ⚡ Performance Optimizations\n\nHouseKit includes several optimizations for maximum throughput in production environments.\n\n### Connection Pooling\n\nReuse HTTP connections across requests:\n\n```typescript\nconst db = housekit({\n  url: 'http://localhost:8123',\n  pool: {\n    maxSockets: 200,      // Max concurrent connections\n    keepAlive: true,      // Reuse connections\n    timeout: 30000        // Socket timeout (ms)\n  }\n}, { schema });\n```\n\n### Skip Validation\n\nBypass enum validation in production when you trust your data source:\n\n```typescript\n// Global (all inserts)\nconst db = housekit({\n  url: 'http://localhost:8123',\n  skipValidation: true\n}, { schema });\n\n// Per-insert\nawait db.insert(events).values(data).skipValidation();\n```\n\n---\n\n## 🛠 Observability\n\n```typescript\nconst db = await createClient({\n  logger: {\n    logQuery: (sql, params, duration, stats) => {\n      console.log(`[Query] ${duration}ms | Rows: ${stats.readRows}`);\n    },\n    logError: (err, sql) => console.error(`[Error] ${err.message}`)\n  }\n});\n```\n\n---\n\n## License\n\nMIT © [Pablo Fernandez Ruiz](https://github.com/pablofdezr)\n","readmeFilename":"README.md"}