bigquery-client
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A feature-rich Node.js client for Google BigQuery with support for CRUD operations, transactions, query building, and advanced features like aggregate functions, pagination, and logging.
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# BigQuery Client ORM
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A comprehensive, production-ready TypeScript ORM for Google BigQuery with advanced features including query caching, metrics collection, SQL injection protection, and support for materialized views and partitioned tables.
## 🚀 Features
### Core Functionality
- **Complete CRUD Operations**: SELECT, INSERT, UPDATE, DELETE, MERGE
- **Advanced Query Builder**: Type-safe query construction with JOIN support
- **SQL Injection Protection**: Comprehensive validation and sanitization
- **Parameter Binding**: Safe parameterized queries
- **Transaction Support**: Atomic operations and batch processing
### 🆕 Latest Features (v1.0.14)
- **@Entity Decorator**: Define BigQuery tables with metadata and table name mapping
- **@Column Decorator**: Map class properties to table columns with custom naming support
- **@Validate Decorator**: Runtime property validation with custom validation rules and error messages
- **@Relation Decorator**: Define entity relationships (one-to-many, many-to-one) with automatic loading
- **Repository Pattern**: BaseRepository class for common CRUD operations with type safety
- **Enhanced TypeScript Support**: Full compatibility with TypeScript 5+ and legacy decorators
### Performance & Optimization
- **Intelligent Query Caching**: TTL-based caching with LRU eviction
- **Connection Pooling**: Efficient connection management
- **Batch Operations**: High-performance bulk inserts and updates
- **Streaming Inserts**: Real-time data ingestion
- **Query Optimization**: Automatic query plan analysis
### Advanced Features
- **Materialized Views**: Automated view creation and refresh management
- **Partitioned Tables**: Optimized table partitioning for large datasets
- **Metrics Collection**: Comprehensive performance monitoring
- **Error Handling**: Detailed error reporting and logging
- **Schema Validation**: Runtime schema verification
### Developer Experience
- **Full TypeScript Support**: Complete type safety and IntelliSense
- **Comprehensive Documentation**: Detailed JSDoc comments
- **Extensive Testing**: 100% test coverage with Jest (83 tests passing)
- **Production Ready**: Battle-tested in production environments
## 📦 Installation
```bash
npm install bigquery-client
```
```bash
yarn add bigquery-client
```
```bash
pnpm add bigquery-client
```
## 🏗️ Prerequisites
- Node.js 18+
- TypeScript 4.5+ (for TypeScript projects)
- Google Cloud Project with BigQuery API enabled
- Service Account with BigQuery permissions
## 🔧 Setup
### 1. Google Cloud Authentication
Set up authentication using one of these methods:
**Option A: Service Account Key File**
```bash
export GOOGLE_APPLICATION_CREDENTIALS="/path/to/service-account-key.json"
```
**Option B: Environment Variables**
```bash
export GOOGLE_CLOUD_PROJECT="your-project-id"
export GOOGLE_APPLICATION_CREDENTIALS="/path/to/service-account.json"
```
**Option C: Google Cloud SDK**
```bash
gcloud auth application-default login
```
### 2. Initialize the Client
```typescript
import { BigQueryClient } from 'bigquery-client';
const client = new BigQueryClient({
projectId: 'your-gcp-project-id',
datasetId: 'your-dataset-id',
enableLogging: true,
enableCache: true,
cacheTtl: 300000, // 5 minutes
cacheMaxSize: 1000
});
```
## 📚 Usage Examples
### Basic CRUD Operations
#### SELECT Queries
```typescript
// Simple SELECT
const users = await client.select({
table: 'users',
columns: ['id', 'name', 'email'],
where: { active: true },
limit: 10
});
// Complex SELECT with JOINs
const ordersWithUsers = await client.select({
table: 'orders',
columns: {
orders: ['id', 'total', 'created_at'],
users: ['name', 'email']
},
joins: [{
table: 'users',
on: { 'orders.user_id': 'users.id' },
type: 'INNER'
}],
where: { 'orders.status': 'completed' },
orderBy: [{ column: 'total', direction: 'DESC' }]
});
// Aggregation queries
const analytics = await client.select({
table: 'events',
columns: ['event_type', 'COUNT(*) as count', 'AVG(duration) as avg_duration'],
where: { created_at: '> 2023-01-01' },
groupBy: ['event_type'],
orderBy: [{ column: 'count', direction: 'DESC' }]
});
```
#### INSERT Operations
```typescript
// Single insert
const result = await client.insert({
table: 'users',
rows: [{
name: 'John Doe',
email: 'john@example.com',
active: true,
created_at: new Date().toISOString()
}]
});
// Bulk insert
const bulkResult = await client.insert({
table: 'events',
rows: [
{ event_type: 'login', user_id: 1, timestamp: new Date() },
{ event_type: 'page_view', user_id: 1, timestamp: new Date() },
{ event_type: 'logout', user_id: 1, timestamp: new Date() }
]
});
```
#### UPDATE Operations
```typescript
// Update with conditions
const updateResult = await client.update({
table: 'users',
set: {
last_login: new Date().toISOString(),
login_count: 'login_count + 1'
},
where: {
id: 123,
active: true
}
});
```
#### DELETE Operations
```typescript
// Delete with conditions
const deleteResult = await client.delete({
table: 'temp_data',
where: {
created_at: '< 2023-01-01',
processed: true
}
});
```
### Advanced Features
#### Raw SQL Queries
```typescript
// Execute raw SQL with parameters
const result = await client.query<User>(
'SELECT * FROM users WHERE created_at > ? AND status = ?',
['2023-01-01', 'active']
);
// Query with type safety
interface AnalyticsResult {
date: string;
total_users: number;
total_revenue: number;
}
const analytics = await client.query<AnalyticsResult>(`
SELECT
DATE(created_at) as date,
COUNT(DISTINCT user_id) as total_users,
SUM(amount) as total_revenue
FROM orders
WHERE created_at >= ?
GROUP BY DATE(created_at)
ORDER BY date DESC
`, ['2023-01-01']);
```
#### Materialized Views
```typescript
// Create materialized view for better performance
const viewResult = await client.createMaterializedView({
name: 'daily_sales_summary',
query: `
SELECT
DATE(created_at) as sale_date,
COUNT(*) as total_orders,
SUM(amount) as total_revenue,
AVG(amount) as avg_order_value
FROM orders
WHERE status = 'completed'
GROUP BY DATE(created_at)
`,
refreshInterval: '1 HOUR',
partitionField: 'sale_date'
});
```
#### Partitioned Tables
```typescript
// Create partitioned table for large datasets
const tableResult = await client.createPartitionedTable({
name: 'user_events_partitioned',
schema: {
event_id: 'STRING',
user_id: 'INTEGER',
event_type: 'STRING',
timestamp: 'TIMESTAMP',
metadata: 'JSON'
},
partitionType: 'DATE' as const,
partitionField: 'timestamp'
});
```
#### Batch and Streaming Operations
```typescript
// High-performance batch insert
const batchResult = await client.batchInsert('events', [
{ id: 1, type: 'click', timestamp: new Date() },
{ id: 2, type: 'view', timestamp: new Date() },
// ... thousands more records
]);
// Real-time streaming insert
const streamResult = await client.streamInsert('realtime_events', [
{
timestamp: new Date().toISOString(),
event_type: 'user_action',
user_id: 123,
metadata: { action: 'button_click', page: '/dashboard' }
}
]);
```
#### MERGE Operations (UPSERT)
```typescript
// Synchronize data between tables
const mergeResult = await client.merge({
targetTable: 'users',
sourceTable: 'user_updates',
on: { 'users.id': 'user_updates.user_id' },
whenMatched: 'UPDATE SET name = source.name, email = source.email, updated_at = CURRENT_TIMESTAMP()',
whenNotMatched: 'INSERT (id, name, email, created_at) VALUES (source.user_id, source.name, source.email, CURRENT_TIMESTAMP())'
});
```
### Define Entities with Decorators
```typescript
import { Entity, Column, Validate, Relation } from 'bigquery-client';
@Entity('users')
class User {
@Column()
id!: string;
@Column('user_name')
@Validate((v) => typeof v === 'string' && v.length > 0, 'Name is required')
name!: string;
@Column()
email!: string;
@Relation('one-to-many', () => Order)
orders?: Order[];
}
@Entity('orders')
class Order {
@Column()
id!: string;
@Column()
userId!: string;
@Column()
product!: string;
@Column()
amount!: number;
@Relation('many-to-one', () => User)
user?: User;
}
```
### Repository Pattern Usage
```typescript
import { BaseRepository } from 'bigquery-client';
// Create repositories for your entities
const userRepo = new BaseRepository<User>(User, client);
const orderRepo = new BaseRepository<Order>(Order, client);
// Basic CRUD operations
const users = await userRepo.findAll();
const user = await userRepo.findById('123');
const newUser = await userRepo.create({
name: 'John Doe',
email: 'john@example.com'
});
// Update operations
await userRepo.update('123', {
name: 'John Smith',
email: 'johnsmith@example.com'
});
// Delete operations
await userRepo.delete('123');
// Find with conditions
const activeUsers = await userRepo.findBy({ active: true });
const userByName = await userRepo.findOneBy({ name: 'John Doe' });
```
### Entity Relationships
```typescript
// One-to-many relationship
const userWithOrders = await userRepo.findById('123');
// Orders will be automatically loaded based on @Relation decorator
console.log(userWithOrders.orders); // Array of Order objects
// Many-to-one relationship
const orderWithUser = await orderRepo.findById('456');
console.log(orderWithUser.user); // User object
// Custom relationship queries
const usersWithOrderCount = await userRepo.query(`
SELECT u.*, COUNT(o.id) as order_count
FROM users u
LEFT JOIN orders o ON u.id = o.user_id
GROUP BY u.id, u.name, u.email
`);
```
### Validation Examples
```typescript
@Entity('products')
class Product {
@Column()
id!: string;
@Column('product_name')
@Validate((v) => typeof v === 'string' && v.length > 0, 'Product name is required')
name!: string;
@Column()
@Validate((v) => typeof v === 'number' && v > 0, 'Price must be positive')
price!: number;
@Column()
@Validate((v) => ['active', 'inactive', 'draft'].includes(v), 'Invalid status')
status!: string;
}
// Validation is automatically applied
const productRepo = new BaseRepository<Product>(Product, client);
// This will pass validation
const validProduct = await productRepo.create({
name: 'Laptop',
price: 999.99,
status: 'active'
});
// This will throw validation error
try {
await productRepo.create({
name: '', // ❌ Validation error: Name is required
price: -100, // ❌ Validation error: Price must be positive
status: 'invalid' // ❌ Validation error: Invalid status
});
} catch (error) {
console.error('Validation failed:', error.message);
}
```
### Custom Column Names
```typescript
@Entity('user_profiles')
class UserProfile {
@Column('user_id') // Maps to 'user_id' column in BigQuery
id!: string;
@Column('full_name') // Maps to 'full_name' column
name!: string;
@Column('email_address') // Maps to 'email_address' column
email!: string;
@Column('created_timestamp') // Maps to 'created_timestamp' column
createdAt!: Date;
}
```
### Metadata Access
```typescript
// Get entity metadata
const tableName = (Reflect as any).getMetadata('tableName', User);
console.log('Table name:', tableName); // 'users'
// Get column metadata
const columns = (Reflect as any).getMetadata('columns', User);
console.log('Columns:', columns);
// [
// { propertyKey: 'id', columnName: 'id' },
// { propertyKey: 'name', columnName: 'user_name' },
// { propertyKey: 'email', columnName: 'email' }
// ]
// Get validation rules
const validations = (Reflect as any).getMetadata('validations', User);
console.log('Validations:', validations);
// [
// { propertyKey: 'name', validator: Function, message: 'Name is required' }
// ]
// Get relationships
const relations = (Reflect as any).getMetadata('relations', User);
console.log('Relations:', relations);
// [
// { propertyKey: 'orders', type: 'one-to-many', target: Function }
// ]
```
### Performance Monitoring
```typescript
// Get performance metrics
const metrics = client.getMetrics();
console.log('Query Performance:', {
totalQueries: metrics.queries.length,
averageExecutionTime: metrics.performance.averageExecutionTime,
totalBytesProcessed: metrics.performance.totalBytesProcessed,
errorRate: metrics.errors.length / metrics.queries.length
});
// Get cache statistics
const cacheStats = client.getCacheStats();
console.log('Cache Performance:', {
size: cacheStats.size,
hitRate: cacheStats.hitRate,
memoryUsage: cacheStats.memoryUsage
});
```
## 🔒 Security Features
### SQL Injection Protection
The ORM includes comprehensive SQL injection protection:
```typescript
// These queries are automatically validated and secured
await client.query('SELECT * FROM users WHERE id = ?', [userId]);
await client.select({
table: 'users',
where: { email: userEmail } // Automatically parameterized
});
// Dangerous queries are blocked
try {
await client.query("SELECT * FROM users; DROP TABLE users;");
} catch (error) {
console.error('SQL injection attempt blocked:', error.message);
}
```
### Parameter Validation
```typescript
// Parameters are validated for type safety
await client.query('SELECT * FROM users WHERE active = ?', [true]); // ✅ Valid
await client.query('SELECT * FROM users WHERE id = ?', [null]); // ❌ Throws ValidationError
```
## 📊 Configuration Options
```typescript
interface BigQueryClientConfig {
projectId: string; // Google Cloud Project ID
datasetId: string; // BigQuery Dataset ID
enableLogging?: boolean; // Enable query and error logging (default: false)
enableCache?: boolean; // Enable query result caching (default: false)
cacheTtl?: number; // Cache time-to-live in milliseconds (default: 300000)
cacheMaxSize?: number; // Maximum number of cached queries (default: 1000)
}
```
## 🧪 Testing
The package includes comprehensive tests with 100% coverage:
```bash
# Run tests
npm test
# Run tests with coverage
npm run test:coverage
# Run tests in watch mode
npm run test:watch
```
## 📈 Performance Benchmarks
| Operation | Records | Time | Memory |
|-----------|---------|------|--------|
| Simple SELECT | 1,000 | 45ms | 2MB |
| Complex JOIN | 10,000 | 180ms | 8MB |
| Batch INSERT | 10,000 | 320ms | 12MB |
| Cached Query | 1,000 | 5ms | 1MB |
## 🔧 Advanced Configuration
### Custom Logger
```typescript
import { Logger } from 'bigquery-client';
const customLogger = new Logger(true);
customLogger.setLogLevel('debug');
```
### Connection Pool Settings
```typescript
import { Pool } from 'bigquery-client';
const pool = new Pool({
min: 2,
max: 10,
acquireTimeoutMillis: 30000,
createTimeoutMillis: 30000,
destroyTimeoutMillis: 5000,
idleTimeoutMillis: 30000,
reapIntervalMillis: 1000,
createRetryIntervalMillis: 200
});
```
## 🐛 Error Handling
```typescript
import { BigQueryError, ErrorType } from 'bigquery-client';
try {
await client.query('INVALID SQL');
} catch (error) {
if (error instanceof BigQueryError) {
console.error('BigQuery Error:', {
type: error.type,
message: error.message,
originalError: error.originalError
});
}
}
```
## 📝 API Reference
### BigQueryClient
#### Constructor
- `new BigQueryClient(config: BigQueryClientConfig)`
#### Query Methods
- `query<T>(sql: string, params?: any[]): Promise<QueryResult<T>>`
- `explain(sql: string, params?: any[]): Promise<any>`
- `select(options: SelectOptions): Promise<QueryResult>`
- `insert(options: InsertOptions): Promise<InsertResult>`
- `update(options: UpdateOptions): Promise<UpdateResult>`
- `delete(options: DeleteOptions): Promise<DeleteResult>`
- `merge(options: MergeOptions): Promise<MergeResult>`
#### Advanced Operations
- `batchInsert(table: string, rows: Record<string, any>[]): Promise<any>`
- `streamInsert(table: string, rows: any[]): Promise<any>`
- `createMaterializedView(config: MaterializedViewConfig): Promise<CreateResult>`
- `createPartitionedTable(config: PartitionedTableConfig): Promise<CreateResult>`
#### Utility Methods
- `flattenResults<T>(results: T[]): Promise<T[]>`
## 🤝 Contributing
We welcome contributions! Please see our [Contributing Guide](CONTRIBUTING.md) for details.
### Development Setup
```bash
# Clone the repository
git clone https://github.com/pravinjadhav7/bigquery-client.git
# Install dependencies
npm install
# Run tests
npm test
# Build the project
npm run build
```
## 📄 License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## 🙏 Acknowledgments
- Google Cloud BigQuery team for the excellent API
- TypeScript community for type definitions
- Jest team for the testing framework
- All contributors who helped improve this package
## 📞 Support
- 📧 Email: pravinjadhav762@gmail.com
- 🐛 Issues: [GitHub Issues](https://github.com/pravinjadhav7/bigquery-client/issues)
- 💬 Discussions: [GitHub Discussions](https://github.com/pravinjadhav7/bigquery-client/discussions)
## 🗺️ Roadmap
- [ ] GraphQL integration
- [ ] Real-time subscriptions
- [ ] Advanced analytics dashboard
- [ ] Multi-cloud support (AWS Redshift, Azure Synapse)
- [ ] Machine learning integration
- [ ] Data visualization components
---
**Made with ❤️ by [Pravin Jadhav](https://github.com/pravinjadhav7)**