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[Introduction](#introduction)\n2. [Installation](#installation)\n3. [Core Concepts](#core-concepts)\n - [Models](#models)\n - [Fields](#fields)\n - [Connection Management](#connection-management)\n4. [Getting Started](#getting-started)\n - [Defining Models](#defining-models)\n - [Database Configuration](#database-configuration)\n - [Basic Operations](#basic-operations)\n5. [Querying Data](#querying-data)\n - [Basic Queries](#basic-queries)\n - [Query Methods](#query-methods)\n - [Advanced Queries](#advanced-queries)\n - [Query Operators](#query-operators)\n - [Aggregations](#aggregations)\n6. [Field Types & Options](#field-types--options)\n - [Basic Field Types](#basic-field-types)\n - [Common Options](#common-options)\n - [Array Fields](#array-fields)\n - [Tuple Fields](#tuple-fields)\n - [Materialized Fields](#materialized-fields)\n7. [Migrations](#migrations)\n - [Migration Overview](#migration-overview)\n - [CLI Commands](#cli-commands)\n - [Migration Types](#migration-types)\n - [Migration Examples](#migration-examples)\n - [Migration Workflow](#migration-workflow)\n - [Environment Variables](#environment-variables)\n8. [Advanced Features](#advanced-features)\n - [Connection Pooling](#connection-pooling)\n - [Complex Data Structures](#complex-data-structures)\n - [Query Building & Inspection](#query-building--inspection)\n9. [API Reference](#api-reference)\n10. [Contributing](#contributing)\n11. [License](#license)\n\n## Introduction\n\nThunder Schema is a TypeScript ORM for ClickHouse that provides a simple and type-safe way to interact with ClickHouse databases. It features type-safe model definitions, a powerful query builder, migration support, connection management, and a TypeScript-first approach.\n\n## Installation\n```bash\nnpm install thunder-schema\n# or\nyarn add thunder-schema\n```\n\n## Core Concepts\n\n### Models\n\nModels are the core building blocks in Thunder Schema. They represent tables in your ClickHouse database and provide a type-safe way to interact with your data. Each model has:\n\n- **Schema**: A TypeScript type defining the table structure\n- **Fields**: Field definitions with types and options\n- **Table Definition**: Configuration for the table including engine and indexes\n\n### Fields\n\nFields define the properties of your models. Each field has a type (like StringField, NumberField) and options (like default values, nullable settings).\n\n### Connection Management\n\nThe ConnectionManager handles database connections and provides a centralized way to manage connection configuration. It supports multiple connections and connection pooling.\n\n\n## Connection Management\n\nThe `ConnectionManager` is a singleton class that manages ClickHouse database connections. It provides several key features:\n\n1. **Multi-tenancy Support**: You can have multiple connection instances for different databases/hosts\n2. **Default Connection**: You can set a default connection configuration\n3. **Connection Pooling**: It maintains connections and reuses them efficiently\n4. **Type Safety**: It's fully typed with TypeScript\n\n### Using Connection Manager with Models\n\nYou can pass connection configuration to models through the constructor:\n\n```typescript\n// Usage with specific connection\nconst user = new User(config)\nconst users = await user.objects.all()\n\n// Usage with default connection\nconst defaultUser = new User()\nconst defaultUsers = await defaultUser.objects.all()\n```\n\n### Advanced Connection Management\n\nThe `ConnectionManager` provides several useful methods:\n\n```typescript\n// Create a new database\nConnectionManager.createDatabase('my_database')\n\n// Execute operations within a connection context\nawait connectionManager.with(async (client) => {\n await client.query({ query: 'SELECT 1' })\n})\n\n// Close a specific connection\nawait connectionManager.close()\n\n// Close all connections\nawait ConnectionManager.closeAll()\n```\n\n### Best Practices\n\n1. **Default Connection**: Set up a default connection for your application:\n```typescript\n// In your application initialization\nConnectionManager.setDefault({\n credentials: {\n url: process.env.CLICKHOUSE_URL,\n username: process.env.CLICKHOUSE_USERNAME,\n password: process.env.CLICKHOUSE_PASSWORD,\n database: process.env.CLICKHOUSE_DATABASE\n }\n})\n```\n\n2. **Multi-tenant Applications**: For multi-tenant applications, use different connection instances:\n```typescript\n// For tenant-specific operations\nconst tenantConfig: ConnectionConfig = {\n credentials: {\n url: tenant.url,\n username: tenant.username,\n password: tenant.password,\n database: tenant.database\n }\n}\n\nconst tenantUser = new User(tenantConfig)\nconst tenantUsers = await tenantUser.objects.all()\n```\n\n3. **Connection Cleanup**: Always close connections when they're no longer needed:\n```typescript\ntry {\n // Use the connection\n} finally {\n await connectionManager.close()\n}\n```\n\n### Error Handling\n\nThe `ConnectionManager` includes built-in error handling:\n\n```typescript\ntry {\n await connectionManager.with(async (client) => {\n // Your database operations\n })\n} catch (error) {\n // Handle connection or query errors\n console.error('Database error:', error)\n}\n```\n\n\n## Getting Started\n\n### Defining Models\n\n```typescript\nimport { Model } from 'thunder-schema'\nimport { FieldsOf, TableDefinition } from 'thunder-schema'\nimport { NumberField, StringField } from 'thunder-schema'\n\ntype UserSchema = {\n id: number\n name: string\n email: string\n createdAt: number\n updatedAt: number\n deletedAt: number\n}\n\nclass User extends Model {\n static fields: FieldsOf = {\n id: new NumberField({}),\n name: new StringField({}),\n email: new StringField({}),\n createdAt: new NumberField({}),\n updatedAt: new NumberField({}),\n deletedAt: new NumberField({}),\n }\n\n static tableDefinition: TableDefinition = {\n tableName: 'users',\n engine: 'MergeTree',\n orderBy: ['createdAt'],\n }\n}\n```\n\n### Database Configuration\n\n```typescript\nimport { ConnectionManager, ConnectionConfig } from 'thunder-schema'\n\nconst config: ConnectionConfig = {\n credentials: {\n url: 'http://localhost:8123',\n username: 'default',\n password: '',\n database: 'default'\n },\n options: {\n keepAlive: true\n }\n}\n\n// Set as default connection\nConnectionManager.setDefault(config)\n\n// Or get a specific instance\nconst connectionManager = ConnectionManager.getInstance(config)\n```\n\n### Basic Operations\n\nCreating and saving a new record:\n\n```typescript\n// Create a new user\nconst user = new User().create({\n id: 1,\n name: 'John Doe',\n email: 'john@example.com',\n createdAt: Date.now(),\n updatedAt: Date.now(),\n deletedAt: 0\n})\n\nawait user.save()\n```\n\n## Querying Data\n\n### Basic Queries\n\n```typescript\n// Get all users\nconst allUsers = await User.objects.all()\n\n// Filter by field\nconst activeUsers = await User.objects\n .filter({ isActive: true })\n .all()\n```\n\n### Query Methods\n\n#### Sorting Results\n\n```typescript\n// Sort by a single field\nconst users = await new User().objects\n .sort({ createdAt: -1 }) // -1 for descending, 1 for ascending\n .all()\n\n// Sort by multiple fields\nconst users = await new User().objects\n .sort({\n isActive: -1, // Active users first\n createdAt: 1 // Then by creation date ascending\n })\n .all()\n```\n\n#### Counting Results\n\n```typescript\n// Count all users\nconst totalUsers = await new User().objects.count()\n\n// Count with filters\nconst activeUsers = await new User().objects\n .filter({ isActive: true })\n .count()\n```\n\n#### Getting First Result\n\n```typescript\n// Get first user\nconst firstUser = await new User().objects.first()\n\n// Get first active user\nconst firstActiveUser = await new User().objects\n .filter({ isActive: true })\n .first()\n```\n\n#### Field Selection (Projection)\n\n```typescript\n// Select specific fields\nconst users = await User.objects\n .project(['id', 'name', 'email'])\n .all()\n\n// Rename fields in the result\nconst users = await User.objects\n .project([\n 'id',\n { name: 'fullName' },\n { email: 'contactEmail' }\n ])\n .all()\n```\n\n#### Using FINAL Modifier\n\n```typescript\n// Get final versions of rows\nconst finalUsers = await User.objects\n .final()\n .all()\n```\n\n### Advanced Queries\n\n#### Nested Queries and Complex Conditions\n\n```typescript\nimport { Q } from 'thunder-schema'\n\n// Simple OR conditions\nconst query = new User().objects.filter(\n new Q().or([\n { id: 1 },\n { id: 2 }\n ])\n)\n\n// Complex nested conditions\nconst complexQuery = new User().objects.filter(\n new Q().or([\n new Q().and([{ id: 1 }, { name: 'John' }]),\n new Q().not(\n new Q().or([{ id: 2 }, { email: 'test@test.com' }])\n )\n ])\n)\n\n// Nested queries with Model instances (subqueries)\nconst user1 = new UserModel()\nconst user2 = new UserModel()\n\n// Create a filtered query\nconst filteredQuery = user2.objects.filter({ id__gt: 5 })\n\n// Use the filtered query in an IN condition\nconst inQueryWithModel = user1.objects.filter({ id__in: filteredQuery })\n// Generated SQL: SELECT * FROM users WHERE (id IN (SELECT * FROM users WHERE (id > 5)))\n```\n\n#### Excluding Records\n\n```typescript\n// Exclude specific records\nconst activeUsers = await User.objects\n .exclude({ isActive: false })\n .all()\n\n// Complex exclusion conditions\nconst validUsers = await User.objects\n .exclude(\n new Q().or([\n { email: null },\n { name: '' }\n ])\n )\n .all()\n```\n\n#### Async Iteration and Streaming\n\nThe ORM supports async iteration and streaming of results.\n\n```typescript\n// Using async iteration\nconst userInstance = new User()\nconst query = userInstance.objects.filter({ isActive: true })\nfor await (const user of query) {\n console.log(user)\n}\n\nconst allUsers = await userModel.objects.all()\n\n// Combining with nested queries\nconst complexQuery = userModel.objects.filter(\n new Q().or([\n { id: 1 },\n { id: 2 },\n new Q().and([{ id: 3 }, { email: 'test@test.com' }])\n ])\n)\n\nfor await (const user of complexQuery) {\n console.log(user)\n}\n```\n\n\n### In-Place Updates\n\nYou can update model instances in-place before saving them to the database:\n\n```typescript\n// Create a new user\nconst user = new User().create({\n id: 1,\n name: 'John Doe',\n email: 'john@example.com',\n createdAt: Date.now(),\n updatedAt: Date.now(),\n deletedAt: 0\n})\n\n// Update values in-place\nuser.values.name = 'Jane Doe'\nuser.values.email = 'jane@example.com'\nuser.values.updatedAt = Date.now()\n\n// Save the updated values\nawait user.save()\n\n// You can also update multiple fields at once\nObject.assign(user.values, {\n name: 'Jane Smith',\n email: 'jane.smith@example.com',\n updatedAt: Date.now()\n})\n\nawait user.save()\n\n\n### Query Operators\n\n#### Comparison Operators\n\n```typescript\n// Greater than\n{ age__gt: 18 } // age > 18\n\n// Less than\n{ age__lt: 65 } // age < 65\n\n// Greater than or equal\n{ age__gte: 18 } // age >= 18\n\n// Less than or equal\n{ age__lte: 65 } // age <= 65\n\n// Not equal\n{ status__ne: 'inactive' } // status != 'inactive'\n```\n\n#### String Operators\n\n```typescript\n// Case-insensitive contains\n{ name__icontains: 'john' } // name LIKE '%john%'\n```\n\n#### Set Operators\n\n```typescript\n// In set\n{ status__in: [\"active\", \"pending\"] } // status IN ('active', 'pending')\n\n// In subquery (using another model's query)\nconst filteredQuery = user2.objects.filter({ id__gt: 5 })\nconst inQueryWithModel = user1.objects.filter({ id__in: filteredQuery })\n// Generated SQL: SELECT * FROM users WHERE (id IN (SELECT * FROM users WHERE (id > 5)))\n```\n\n### Aggregations\n\nThunder Schema provides a powerful aggregation system that supports both basic aggregations and arithmetic operations. Here's how to use it:\n\n#### Basic Aggregations\n\n```typescript\n// Basic aggregations with aliases\nconst result = await Sale.objects\n .filter({ price__gt: 100 })\n .aggregate({\n total_revenue: new Sum(\"price\", \"total_revenue\"),\n avg_price: new Avg(\"price\", \"avg_price\"),\n total_sales: new Count(\"*\", \"total_sales\"),\n min_price: new Min(\"price\", \"min_price\"),\n max_price: new Max(\"price\", \"max_price\"),\n })\n .all()\n\n// Result will be an array with one object containing:\n// {\n// total_revenue: number,\n// avg_price: number,\n// total_sales: number,\n// min_price: number,\n// max_price: number\n// }\n```\n\n#### Arithmetic Operations\n\nYou can perform arithmetic operations on aggregation results:\n\n```typescript\n// Addition\nconst result = await Sale.objects\n .filter({ price__gt: 100 })\n .aggregate({\n total_revenue: new Sum(\"price\", \"total_revenue\"),\n total_quantity: new Sum(\"quantity\", \"total_quantity\"),\n total_with_addition: add(\n new Sum(\"price\", \"total_revenue\"),\n new Sum(\"quantity\", \"total_quantity\")\n ),\n })\n .all()\n\n// Subtraction\nconst result = await Sale.objects\n .aggregate({\n revenue_minus_quantity: subtract(\n new Sum(\"price\", \"total_revenue\"),\n new Sum(\"quantity\", \"total_quantity\")\n ),\n })\n .all()\n\n// Multiplication\nconst result = await Sale.objects\n .aggregate({\n revenue_times_quantity: multiply(\n new Sum(\"price\", \"total_revenue\"),\n new Sum(\"quantity\", \"total_quantity\")\n ),\n })\n .all()\n\n// Division\nconst result = await Sale.objects\n .aggregate({\n average_price_per_quantity: divide(\n new Sum(\"price\", \"total_revenue\"),\n new Sum(\"quantity\", \"total_quantity\")\n ),\n })\n .all()\n```\n\n#### Complex Arithmetic Expressions\n\nYou can combine multiple arithmetic operations:\n\n```typescript\nconst result = await Sale.objects\n .filter({ price__gt: 100 })\n .aggregate({\n complex_calculation: add(\n multiply(\n new Sum(\"price\", \"total_revenue\"),\n new Sum(\"quantity\", \"total_quantity\")\n ),\n divide(\n new Sum(\"price\", \"total_revenue\"),\n new Sum(\"quantity\", \"total_quantity\")\n )\n ),\n })\n .all()\n```\n\nThe above will generate SQL like:\n```sql\nSELECT ((SUM(price) * SUM(quantity)) + (SUM(price) / SUM(quantity))) as complex_calculation \nFROM sales \nWHERE (price > 100)\n```\n\n## Field Types & Options\n\n### Basic Field Types\n\n1. **NumberField**: For numeric values\n ```typescript\n new NumberField({\n defaultValue: 0,\n nullable: false\n })\n ```\n\n2. **StringField**: For text values\n ```typescript\n new StringField({\n defaultValue: '',\n nullable: true,\n maxLength: 255\n })\n ```\n\n3. **BooleanField**: For true/false values\n ```typescript\n new BooleanField({\n defaultValue: false\n })\n ```\n\n4. **DateTimeField**: For date and time values\n ```typescript\n new DateTimeField({\n defaultValue: 'now()',\n timezone: 'UTC'\n })\n ```\n\n### Common Options\n\nAll field types support these options:\n\n- `defaultValue`: Default value for the field\n- `nullable`: Whether the field can be null\n- `expression`: SQL expression for computed fields\n- `materialized`: Whether the field is materialized\n\n### Array Fields\n\n```typescript\nclass Product extends Model {\n static fields = {\n id: new NumberField({}),\n tags: new ArrayField({\n elementType: new StringField({ defaultValue: '' }),\n defaultValue: ['new', 'featured'],\n }),\n prices: new ArrayField({\n elementType: new NumberField({ defaultValue: 0 }),\n defaultValue: [10, 20, 30],\n }),\n }\n}\n```\n\n### Tuple Fields\n\n```typescript\nclass UserProfile extends Model {\n static fields = {\n id: new NumberField({}),\n preferences: new TupleField({\n fields: {\n name: new StringField({ defaultValue: '' }),\n favoriteNumbers: new ArrayField({\n elementType: new NumberField({ defaultValue: 0 }),\n defaultValue: [1, 2, 3],\n }),\n },\n }),\n }\n}\n```\n\n### Materialized Fields\n\n```typescript\ntype UserMaterialized = {\n userName: string\n}\n\nclass User extends Model {\n static fields: FieldsOf = {\n id: new NumberField({}),\n name: new StringField({}),\n email: new StringField({}),\n // Materialized field that concatenates name and email\n userName: new StringField({\n expression: \"concat(name, ' ', email)\"\n })\n }\n}\n```\n\n## Migrations\n\n### Migration Overview\n\nThunder Schema provides a robust migration system to manage database schema changes. The migration system helps you version control your database schema and apply changes in a controlled manner.\n\n### CLI Commands\n\n#### Generate Migrations\n\n```bash\nnpx thunder-schema makemigrations [output-path]\n```\n\n#### List Migrations\n\n```bash\nnpx thunder-schema readmigrations [migrations-path]\n```\n\n#### Apply Migrations\n\n```bash\nnpx thunder-schema migrate [migrations-path]\n```\n\n### Migration Types\n\nThe migration system supports several types of schema changes:\n\n1. **CREATE**: Creating new tables\n2. **UPDATE**: Modifying existing tables by:\n - Adding new columns\n - Removing columns\n - Updating column definitions\n3. **DROP**: Dropping tables\n\n\n#### Migration File Examples\n\nHere are some examples of how to use migrations in your project:\n\n### Basic Model Definition\n\n```typescript\nimport { NumberField, StringField } from 'thunder-schema'\nimport { FieldsOf, TableDefinition } from 'thunder-schema'\nimport { Model } from 'thunder-schema'\n\ntype UserSchema = {\n id: number\n name: string\n email: string\n createdAt: number\n updatedAt: number\n deletedAt: number\n}\n\nclass User extends Model {\n static fields: FieldsOf = {\n id: new NumberField({}),\n name: new StringField({}),\n email: new StringField({}),\n createdAt: new NumberField({}),\n updatedAt: new NumberField({}),\n deletedAt: new NumberField({}),\n }\n\n static tableDefinition: TableDefinition = {\n tableName: 'users',\n engine: 'MergeTree',\n orderBy: ['createdAt'],\n }\n}\n\ntype PostSchema = {\n id: string\n userId: string\n title: string\n content: string\n createdAt: number\n updatedAt: number\n}\n\nclass Post extends Model {\n static fields: FieldsOf = {\n id: new StringField({}),\n userId: new StringField({}),\n title: new StringField({}),\n content: new StringField({}),\n createdAt: new NumberField({}),\n updatedAt: new NumberField({}),\n }\n\n static tableDefinition: TableDefinition = {\n tableName: 'posts',\n engine: 'MergeTree',\n orderBy: ['createdAt'],\n }\n}\n\nconst models: (typeof Model)[] = [User, Post]\n\nexport default models\n```\n\n### Migration Examples\n\nHere are examples of different migration scenarios and their corresponding TypeScript migration files:\n\n#### 1. Creating a New Table\n\nWhen you first define a model, the migration system will generate a migration to create the corresponding table:\n\n```typescript\n// Migration file: 1678901234567-create_users_table.ts\nexport const diff = [\n {\n changes: {\n type: 'CREATE',\n schema: {\n tableName: 'users',\n columns: [\n { name: 'id', type: 'Int32' },\n { name: 'name', type: 'String' },\n { name: 'email', type: 'String' },\n { name: 'createdAt', type: 'Int64', defaultValue: 'now()' },\n { name: 'updatedAt', type: 'Int64' },\n { name: 'deletedAt', type: 'Int64' }\n ],\n engine: 'MergeTree',\n orderBy: ['createdAt']\n }\n }\n }\n]\n```\n\n#### 2. Adding New Columns\n\nWhen you add new fields to your model, the migration system will generate a migration to add them to your table:\n\n```typescript\n// Migration file: 1678901245678-add_user_fields.ts\nexport const diff = [\n {\n changes: {\n type: 'UPDATE',\n tableName: 'users',\n add: [\n { name: 'lastName', type: 'String' },\n { name: 'age', type: 'Int32' }\n ]\n }\n }\n]\n```\n\n#### 3. Removing Columns\n\nWhen you remove fields from your model, the migration system generates a migration to remove them from your table:\n\n```typescript\n// Migration file: 1678901256789-remove_user_fields.ts\nexport const diff = [\n {\n changes: {\n type: 'UPDATE',\n tableName: 'users',\n remove: ['deletedAt', 'isActive']\n }\n }\n]\n```\n\n#### 4. Updating Column Definitions\n\nWhen you change a field's properties (like type or default value), the migration system generates a migration to update the column definition:\n\n```typescript\n// Migration file: 1678901267890-update_email_field.ts\nexport const diff = [\n {\n changes: {\n type: 'UPDATE',\n tableName: 'users',\n update: [\n { \n name: 'email', \n type: 'String', \n expression: \"lower(email)\" \n }\n ]\n }\n }\n]\n```\n\n#### 5. Creating a Table with Advanced Features\n\nHere's an example of a more complex table creation with materialized columns, default values, and partitioning:\n\n```typescript\n// Migration file: 1678901278901-create_orders_table.ts\nexport const diff = [\n {\n changes: {\n type: 'CREATE',\n schema: {\n tableName: 'orders',\n columns: [\n { name: 'id', type: 'String' },\n { name: 'userId', type: 'String' },\n { name: 'productId', type: 'String' },\n { name: 'quantity', type: 'Int32', defaultValue: '1' },\n { name: 'price', type: 'Decimal(10, 2)' },\n { \n name: 'totalPrice', \n type: 'Decimal(10, 2)', \n expression: 'quantity * price' \n },\n { name: 'orderDate', type: 'DateTime', defaultValue: 'now()' },\n { name: 'status', type: 'String', defaultValue: \"'pending'\" }\n ],\n engine: 'MergeTree',\n orderBy: ['orderDate'],\n partitionBy: 'toYYYYMM(orderDate)',\n primaryKey: ['id']\n }\n }\n }\n]\n```\n\n#### 6. Dropping a Table\n\nWhen you remove a model altogether, the migration system can generate a migration to drop the table:\n\n```typescript\n// Migration file: 1678901289012-drop_old_table.ts\nexport const diff = [\n {\n changes: {\n type: 'DROP',\n schema: {\n tableName: 'old_users'\n }\n }\n }\n]\n```\n\n#### 7. Complex Multi-Table Migration\n\nYou can also have migrations that affect multiple tables in one go:\n\n```typescript\n// Migration file: 1678901299123-complex_migration.ts\nexport const diff = [\n {\n // Create a new table\n changes: {\n type: 'CREATE',\n schema: {\n tableName: 'products',\n columns: [\n { name: 'id', type: 'String' },\n { name: 'name', type: 'String' },\n { name: 'price', type: 'Decimal(10, 2)' },\n { name: 'createdAt', type: 'DateTime', defaultValue: 'now()' }\n ],\n engine: 'MergeTree',\n orderBy: ['id']\n }\n }\n },\n {\n // Update an existing table\n changes: {\n type: 'UPDATE',\n tableName: 'orders',\n add: [\n { name: 'discountCode', type: 'String', nullable: true }\n ],\n update: [\n { \n name: 'totalPrice', \n type: 'Decimal(10, 2)', \n expression: 'price * quantity * (1 - if(discountCode != \\'\\', 0.1, 0))' \n }\n ]\n }\n }\n]\n```\n\n### Migration Workflow\n\n1. Define your initial models\n2. Generate the first migration:\n```bash\nnpx thunder-schema makemigrations -m src/models.ts -o migrations\n```\n3. Apply the migration:\n```bash\nnpx thunder-schema migrate --migrations-path migrations\n```\n4. When you need to make changes to your schema:\n - Update your model definitions\n - Generate a new migration\n - Apply the new migration\n\nThe migration system automatically tracks which migrations have been applied using a `migrations` table in your database and ensures migrations are applied in the correct order.\n\n### Environment Variables\n\nThe CLI tool uses the following environment variables for database connection:\n\n- `CLICKHOUSE_URL`: ClickHouse server URL (default: 'http://localhost:8123')\n- `CLICKHOUSE_USERNAME`: ClickHouse username (default: 'default')\n- `CLICKHOUSE_PASSWORD`: ClickHouse password (default: '')\n- `CLICKHOUSE_DATABASE`: ClickHouse database name (default: 'default')\n\nExample:\n```bash\nexport CLICKHOUSE_URL=http://localhost:8123\nexport CLICKHOUSE_USERNAME=default\nexport CLICKHOUSE_PASSWORD=password\nexport CLICKHOUSE_DATABASE=my_database\nnpx thunder-schema migrate\n```\n\nSee more about it by running:\n```bash\nnpx thunder-schema --help\n```\n\n## Advanced Features\n\n### Connection Pooling\n\n```typescript\nconst config: ConnectionConfig = {\n credentials: {\n url: 'http://localhost:8123',\n username: 'default',\n password: '',\n database: 'default'\n },\n options: {\n keepAlive: true,\n }\n}\n```\n\n\n### Complex Data Structures\n\n#### Nested Arrays\n\n```typescript\nclass Matrix extends Model {\n static fields = {\n id: new NumberField({}),\n data: new ArrayField({\n elementType: new ArrayField({\n elementType: new NumberField({ defaultValue: 0 }),\n defaultValue: [],\n }),\n defaultValue: [[1, 2], [3, 4]],\n }),\n }\n}\n```\n\n#### Tuple Filtering\n\n```typescript\n// Filter on nested tuple fields\nconst query = locationModel.objects.filter({\n location: {\n coordinates: {\n lat__gt: 40.0,\n lon__lt: -73.0\n },\n }\n})\n```\n\n### Query Building & Inspection\n\n```typescript\n// Inspect the generated SQL query\nconst query = User.objects\n .filter({ isActive: true })\n .project(['id', 'name'])\n .getQuery()\n\nconsole.log(query) // SELECT id, name FROM users WHERE (isActive = true)\n\n// Reset query conditions\nquery.reset()\n```\n\n## Array Fields and Nested Structures\n\nThe ORM supports array fields and nested structures like arrays within tuples. Here's how to use them:\n\n#### Basic Array Fields\n\n```typescript\nclass Product extends Model {\n static fields = {\n id: new NumberField({}),\n tags: new ArrayField({\n elementType: new StringField({ defaultValue: '' }),\n defaultValue: ['new', 'featured'],\n }),\n prices: new ArrayField({\n elementType: new NumberField({ defaultValue: 0 }),\n defaultValue: [10, 20, 30],\n }),\n }\n}\n```\n\n#### Nested Arrays\n\nYou can create arrays of arrays for more complex data structures:\n\n```typescript\nclass Matrix extends Model {\n static fields = {\n id: new NumberField({}),\n data: new ArrayField({\n elementType: new ArrayField({\n elementType: new NumberField({ defaultValue: 0 }),\n defaultValue: [],\n }),\n defaultValue: [[1, 2], [3, 4]],\n }),\n }\n}\n```\n\n#### Tuples with Arrays\n\nYou can combine tuples and arrays for complex nested structures:\n\n```typescript\nclass UserProfile extends Model {\n static fields = {\n id: new NumberField({}),\n preferences: new TupleField({\n fields: {\n name: new StringField({ defaultValue: '' }),\n favoriteNumbers: new ArrayField({\n elementType: new NumberField({ defaultValue: 0 }),\n defaultValue: [1, 2, 3],\n }),\n },\n }),\n }\n}\n```\n\nThe above will generate a schema with a tuple field containing a string and an array of numbers:\n```sql\nTuple(name String, favoriteNumbers Array(Int32))\n```\n\n#### Tuple Filtering\n\nYou can filter on tuple fields using dot notation to access nested fields. Here are some examples:\n\n```typescript\n// Filter on a simple tuple field\nclass AddressModel extends Model {\n static fields = {\n id: new NumberField({}),\n address: new TupleField({\n fields: {\n street: new StringField({ defaultValue: '' }),\n city: new StringField({ defaultValue: '' }),\n zip: new NumberField({ defaultValue: 0 }),\n },\n }),\n }\n}\n\n// Filter by city\nconst query = addressModel.objects.filter({\n 'address.city': 'New York'\n})\n\n// Filter with comparison operators\nconst query = addressModel.objects.filter({\n address: {\n zip__gt: 10000,\n }\n})\n\n// Filter on nested tuples\nclass LocationModel extends Model {\n static fields = {\n id: new NumberField({}),\n location: new TupleField({\n fields: {\n coordinates: new TupleField({\n fields: {\n lat: new NumberField({ defaultValue: 0 }),\n lon: new NumberField({ defaultValue: 0 }),\n },\n }),\n name: new StringField({ defaultValue: '' }),\n },\n }),\n }\n}\n\n// Filter on nested tuple fields\nconst locationModel = new LocationModel()\nconst query = locationModel.objects.filter({\n location: {\n coordinates: {\n lat__gt: 40.0,\n lon__lt: -73.0\n },\n }\n})\n\n// Filter with multiple conditions\nconst query = locationModel.objects.filter(\n new Q().and([\n { location: { coordinates: { lat__gt: 40.0 } } },\n { location: { name__icontains: 'Central' } }\n ])\n)\n```\n\nThe above queries will generate SQL like:\n```sql\n-- Simple tuple filter\nSELECT * FROM address_model WHERE address.city = 'New York'\n\n-- Nested tuple filter\nSELECT * FROM location_model WHERE location.coordinates.lat > 40.0 AND location.coordinates.lon < -73.0\n```\n\n#### Default Values\n\nArray fields support default values at both the array and element level:\n\n```typescript\nnew ArrayField({\n elementType: new StringField({ defaultValue: 'default' }), // Element default\n defaultValue: ['value1', 'value2'], // Array default\n})\n```\n\n## API Reference\n\n### Models\n\n- `Model`: Base class for all models\n- `NumberField`: Field type for numeric values\n- `StringField`: Field type for string values\n- `TableDefinition`: Interface for table configuration\n\n### Database\n\n- `ConnectionManager`: Manages database connections\n- `ConnectionConfig`: Type for connection configuration\n- `ConnectionCredentials`: Type for connection credentials\n\n### Query Building\n\n- `QueryBuilder`: Build complex SQL queries\n- `Q`: Class for building query conditions\n\n### Migrations\n\n- `MigrationService`: Create and manage migrations\n- `MigrationRunner`: Execute migrations\n\n## Contributing\n\nContributions are welcome! Please feel free to submit a Pull Request.\n\n## License\n\n[MIT License](LICENSE)\n","readmeFilename":"README.md"}