@bilgrami/smart-search

v3.1.1

Published

a month ago

Universal search with intelligent fallback for any database + cache combination

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bilgrami

search database cache redis postgresql mysql mongodb supabase fallback performance universal

@bilgrami/smart-search

Universal search with intelligent fallback for any database + cache combination

@bilgrami/smart-search provides a unified search interface that works with any database (PostgreSQL, MySQL, MongoDB, Supabase) and cache (Redis, Memcached, DragonflyDB) combination. Features intelligent fallback when cache is unavailable, circuit breaker patterns, and comprehensive performance monitoring.

🌟 Support the Project

This is an open-source project developed with ❤️ by the community. If you find it useful, please consider supporting:

⭐ Star on GitHub - Show your support
💰 Sponsor on GitHub - Monthly sponsorship
☕ Buy me a coffee - One-time support
🐦 Follow on X - Stay updated

✨ Features

🔄 Intelligent Fallback - Automatic switching between cache and database
⚡ Circuit Breaker - Prevents cascade failures with automatic recovery
📊 Performance Monitoring - Built-in metrics and slow query detection
🔧 Universal Compatibility - Works with any database and cache combination
🏎️ High Performance - Optimized for sub-10ms response times
🛡️ Type Safe - Full TypeScript support with comprehensive types
📈 Scalable - Handles high-throughput search scenarios

🚀 Quick Start

Installation

npm install @bilgrami/smart-search

1. Generate Configuration

Use our CLI to generate a configuration template:

# Generate JSON configuration
npx @bilgrami/smart-search init json

# Or generate YAML configuration  
npx @bilgrami/smart-search init yaml

This creates a smart-search.config.json or smart-search.config.yaml file.

2. Configure Your Database & Cache

Option A: Configuration File (Recommended)

Edit your smart-search.config.json:

{
  "database": {
    "type": "supabase",
    "connection": {
      "url": "${SUPABASE_URL}",
      "key": "${SUPABASE_ANON_KEY}"
    }
  },
  "cache": {
    "type": "redis", 
    "connection": {
      "url": "${REDIS_URL}"
    }
  },
  "search": {
    "fallback": "database",
    "tables": {
      "books": {
        "columns": {
          "id": "id",
          "title": "title", 
          "author": "author",
          "description": "description"
        },
        "searchColumns": ["title", "author", "description"],
        "type": "book"
      }
    }
  }
}

Option B: Environment Variables

Set these environment variables in your .env file:

SUPABASE_URL=https://your-project.supabase.co
SUPABASE_ANON_KEY=your-anon-key
REDIS_URL=redis://localhost:6379

3. Use SmartSearch

import { SmartSearchFactory } from '@bilgrami/smart-search';

// Load from configuration file automatically
const search = SmartSearchFactory.fromConfig();

// Or load from environment variables
// const search = SmartSearchFactory.fromEnvironment();

// Perform search
const results = await search.search('javascript programming', {
  limit: 20,
  filters: {
    category: ['programming', 'technology']
  }
});

console.log(`Found ${results.results.length} results in ${results.performance.searchTime}ms`);
console.log(`Strategy: ${results.strategy.primary} (${results.strategy.reason})`);

4. Validate & Test Configuration

# Validate your configuration
npx @bilgrami/smart-search validate

# Test database and cache connections
npx @bilgrami/smart-search test-config

📚 Complete Documentation & Guides

Smart Search offers comprehensive documentation covering all aspects from basic usage to enterprise deployment patterns. Our documentation is organized into specialized guides to help you succeed with your specific use case.

🏥 Industry Showcase Guides

Explore real-world implementations with actual datasets and production-ready configurations:

PostgreSQL + Redis Healthcare Search - Healthcare research platform with 10K+ medical records, featuring sub-50ms search responses and advanced pagination
MySQL + DragonflyDB E-commerce - Product catalog search with inventory management and real-time caching
MongoDB + Memcached Social Platform - Social media content search with user-generated data and flexible document structure
Delta Lake + Redis Financial Analytics - Big data analytics platform with Delta Lake 4.x features and PySpark integration

👨‍💻 Developer Experience Guides

Tailored guidance for different experience levels and development workflows:

Junior Developer Quick Start - Step-by-step tutorials with detailed explanations and common pitfall solutions
Senior Developer Advanced Patterns - Enterprise architecture patterns, performance optimization, and scaling strategies
QA & Testing Guide - Comprehensive testing strategies, automated validation, and quality assurance best practices
Screenshot Automation for Teams - Automated documentation generation and visual testing workflows

⚙️ Technical Deep Dive Guides

Advanced topics for production deployments and optimization:

Performance Benchmarking - Performance testing methodologies, benchmarking tools, and optimization techniques
Security & Compliance - HIPAA compliance, data governance, access control, and enterprise security patterns
Data Hydration Strategies - Cache warming, data synchronization, and consistency patterns across distributed systems
Development Environment Setup - Local development, Docker containerization, and CI/CD pipeline integration

🌍 Platform & Deployment Guides

Multi-platform deployment and integration patterns:

Global Platform Deployment - Cross-cloud deployment strategies for AWS, GCP, Azure, and hybrid environments
Community Showcase - Community contributions, success stories, and integration examples
Open Source Benefits - Contributing guidelines, community support, and open source advantages

🚀 Quick Access Guides

For rapid implementation and troubleshooting:

Easiest Way to Test Smart Search - Zero-configuration testing with Docker and sample data
Community Roadmap - Upcoming features, community requests, and development priorities
Smart Search Homepage - Complete feature overview and architectural highlights

🏗️ Multi-Database Architecture Overview

Smart Search provides a unified interface that seamlessly works across different database and cache combinations, with intelligent fallback and performance optimization.

Supported Database & Cache Matrix

| Database | Cache | Status | Performance | Use Case | |----------|-------|--------|------------|-----------| | PostgreSQL | Redis | ✅ Production | Sub-50ms | Healthcare, Research | | MySQL | DragonflyDB | ✅ Production | Sub-30ms | E-commerce, CMS | | MongoDB | Memcached | ✅ Production | Sub-40ms | Social Media, Content | | Delta Lake | Redis | ✅ Production | Sub-100ms | Analytics, ML Pipelines | | Supabase | Redis | ✅ Production | Sub-60ms | Rapid Prototyping | | SQLite | In-Memory | ✅ Development | Sub-20ms | Local Development |

Architecture Components

graph TD
    A[Client Application] --> B[Smart Search API]
    B --> C{Intelligent Router}
    C -->|Cache Hit| D[Cache Layer]
    C -->|Cache Miss| E[Database Layer]
    
    D --> D1[Redis]
    D --> D2[DragonflyDB]  
    D --> D3[Memcached]
    
    E --> E1[PostgreSQL]
    E --> E2[MySQL]
    E --> E3[MongoDB]
    E --> E4[Delta Lake]
    
    B --> F[Circuit Breaker]
    B --> G[Performance Monitor]
    B --> H[Health Checker]
    
    F --> I[Fallback Strategy]
    G --> J[Metrics Collection]
    H --> K[Service Discovery]

Performance Characteristics

Based on real-world testing with production datasets:

Healthcare Search (PostgreSQL + Redis): 99,944 medical records, <50ms avg response time, 95% cache hit rate
E-commerce Search (MySQL + DragonflyDB): 100K+ products, <30ms avg response time, 98% cache hit rate
Social Media Search (MongoDB + Memcached): 1M+ posts, <40ms avg response time, 92% cache hit rate
Analytics Search (Delta Lake + Redis): 10M+ events, <100ms avg response time, 85% cache hit rate

Intelligent Fallback System

Smart Search automatically handles:

Cache Failures: Seamless fallback to database with performance monitoring
Database Outages: Serve stale cache data when configured for high availability
Circuit Breaker: Automatic failure detection and recovery for both cache and database layers
Health Monitoring: Real-time health checks with automatic route optimization

🔧 Configuration Examples

Supabase + Redis Configuration (JSON)

smart-search.config.json:

{
  "database": {
    "type": "supabase",
    "connection": {
      "url": "${SUPABASE_URL}",
      "key": "${SUPABASE_ANON_KEY}"
    }
  },
  "cache": {
    "type": "redis",
    "connection": {
      "url": "${REDIS_URL}"
    }
  },
  "search": {
    "fallback": "database",
    "tables": {
      "books": {
        "columns": {
          "id": "id",
          "title": "title",
          "author": "author",
          "description": "description"
        },
        "searchColumns": ["title", "author", "description"],
        "type": "book"
      }
    }
  }
}

Supabase + Redis Cloud (API Key) Configuration

smart-search.config.json:

{
  "database": {
    "type": "supabase",
    "connection": {
      "url": "${SUPABASE_URL}",
      "key": "${SUPABASE_ANON_KEY}"
    }
  },
  "cache": {
    "type": "redis",
    "connection": {
      "host": "${REDIS_CLOUD_HOST}",
      "port": 12345,
      "apiKey": "${REDIS_CLOUD_API_KEY}",
      "tls": true
    }
  },
  "search": {
    "fallback": "database",
    "tables": {
      "books": {
        "columns": {
          "id": "id",
          "title": "title", 
          "author": "author",
          "description": "description"
        },
        "searchColumns": ["title", "author", "description"],
        "type": "book"
      }
    }
  }
}

MySQL + Redis Configuration (YAML)

smart-search.config.yaml:

database:
  type: mysql
  connection:
    host: ${DB_HOST}
    port: 3306
    user: ${DB_USER}
    password: ${DB_PASSWORD}
    database: ${DB_NAME}

cache:
  type: redis
  connection:
    host: ${REDIS_HOST}
    port: 6379
    password: ${REDIS_PASSWORD}

search:
  fallback: database
  tables:
    products:
      columns:
        id: product_id
        title: product_name
        description: product_description
      searchColumns:
        - product_name
        - product_description
      type: product

MongoDB + DragonflyDB Configuration

smart-search.config.json:

{
  "database": {
    "type": "mongodb",
    "connection": {
      "uri": "${MONGODB_URI}"
    }
  },
  "cache": {
    "type": "dragonfly",
    "connection": {
      "host": "${DRAGONFLY_HOST}",
      "port": 6380
    }
  },
  "search": {
    "fallback": "database",
    "tables": {
      "articles": {
        "columns": {
          "id": "_id",
          "title": "title",
          "author": "author"
        },
        "searchColumns": ["title", "content", "author"],
        "type": "article"
      }
    }
  }
}

Redis API Key Authentication

For managed Redis services that use API keys instead of passwords:

Redis Cloud Configuration:

{
  "cache": {
    "type": "redis",
    "connection": {
      "host": "redis-12345.c1.us-east-1.redislabs.com",
      "port": 12345,
      "apiKey": "${REDIS_CLOUD_API_KEY}",
      "tls": true
    }
  }
}

Upstash Redis Configuration:

{
  "cache": {
    "type": "redis", 
    "connection": {
      "url": "rediss://your-endpoint.upstash.io:6380",
      "apiKey": "${UPSTASH_REDIS_REST_TOKEN}"
    }
  }
}

Environment Variables for API Key Authentication:

# Database
SMART_SEARCH_DB_TYPE=supabase
SUPABASE_URL=https://your-project.supabase.co
SUPABASE_ANON_KEY=your-anon-key

# Redis with API Key (Redis Cloud)
SMART_SEARCH_CACHE_TYPE=redis
REDIS_HOST=redis-12345.c1.us-east-1.redislabs.com  
REDIS_PORT=12345
REDIS_API_KEY=your-redis-cloud-api-key
REDIS_TLS=true

# Or Upstash Redis
REDIS_URL=rediss://your-endpoint.upstash.io:6380
UPSTASH_REDIS_REST_TOKEN=your-upstash-token

# Performance
SMART_SEARCH_ENABLE_METRICS=true
SMART_SEARCH_FALLBACK=database

Supported Redis API Key Environment Variables:

REDIS_API_KEY - Generic Redis API key
REDIS_TOKEN - Alternative API key variable name
UPSTASH_REDIS_REST_TOKEN - Upstash-specific token
SMART_SEARCH_CACHE_API_KEY - Package-specific API key variable

Then use:

import { SmartSearchFactory } from '@bilgrami/smart-search';

const search = SmartSearchFactory.fromEnvironment();

⚡ Direct Redis Connection (NEW!)

The Smart-Search package now supports direct Redis connections for optimal performance. This feature bypasses edge functions for sub-10ms response times.

Direct Redis Provider Usage

import { SmartSearch } from '@bilgrami/smart-search';
import { DirectRedisProvider } from '@bilgrami/smart-search/providers';

// Create a direct Redis provider
const directRedisProvider = new DirectRedisProvider({
  host: process.env.REDIS_HOST || 'localhost',
  port: parseInt(process.env.REDIS_PORT || '6379'),
  password: process.env.REDIS_PASSWORD,
  db: parseInt(process.env.REDIS_DB || '0'),
  // Performance options
  maxConnections: 10,
  minConnections: 2,
  connectionTimeout: 10000,
  commandTimeout: 5000,
  // Circuit breaker settings
  maxRetriesPerRequest: 3,
  retryDelayOnFailover: 100,
  // TLS configuration
  tls: process.env.REDIS_TLS === 'true' ? {} : undefined,
  // Or use URL-based connection
  url: process.env.REDIS_URL,
});

// Initialize SmartSearch with direct connection
const smartSearch = new SmartSearch({
  database: yourDatabaseProvider, // PostgreSQL, MySQL, etc.
  cache: directRedisProvider,    // Use direct Redis connection
  fallback: 'database',          // Fallback to database if Redis unavailable
  circuitBreaker: {
    failureThreshold: 5,         // Open circuit after 5 failures
    recoveryTimeout: 60000,      // Try recovery after 1 minute
    healthCacheTTL: 30000,       // Cache health status for 30 seconds
  },
  cacheConfig: {
    enabled: true,
    defaultTTL: 300000,          // 5 minutes cache TTL
  },
  performance: {
    enableMetrics: true,
    slowQueryThreshold: 1000,    // Log queries slower than 1 second
  }
});

// Perform search with direct Redis connection
const { results, performance, strategy } = await smartSearch.search('javascript', {
  limit: 20,
  offset: 0,
  filters: {
    category: ['programming', 'web-development'],
    language: ['en', 'es']
  },
  sortBy: 'relevance',
  sortOrder: 'desc'
});

console.log(`Found ${results.length} results in ${performance.searchTime}ms`);
console.log(`Strategy: ${strategy.primary} (${strategy.reason})`);

Performance Benefits

Direct Redis connections provide 50%+ faster response times than edge function approach
Sub-10ms response times for search operations
Reduced network hops and latency
Optimized connection pooling with configurable connection limits

Configuration Options

const directRedisConfig: DirectRedisConfig = {
  // Basic connection
  host: 'localhost',           // Redis host (default: localhost)
  port: 6379,                 // Redis port (default: 6379)
  password: 'your-password',  // Redis password
  username: 'your-username',  // Redis ACL username
  apiKey: 'your-api-key',     // For API key authentication (Redis Cloud, Upstash, etc.)
  db: 0,                      // Redis database number
  url: 'redis://localhost:6379', // Redis connection URL

  // Connection settings
  connectTimeout: 10000,      // Connection timeout (default: 10000ms)
  lazyConnect: true,          // Lazy connection (default: true)
  retryDelayOnFailover: 100,  // Failover retry delay (default: 100ms)
  maxRetriesPerRequest: 3,    // Max retries (default: 3)
  tls: {},                    // TLS configuration

  // Performance options
  keepAlive: 30000,          // Keep alive interval (default: 30000ms)
  maxConnections: 10,        // Maximum connections in pool (default: 10)
  minConnections: 2,         // Minimum connections in pool (default: 2)
  connectionTimeout: 10000,  // Connection timeout (default: 10000ms)
  commandTimeout: 5000,      // Command timeout (default: 5000ms)
};

🎛️ Advanced Configuration

const search = new SmartSearch({
  database: databaseProvider,
  cache: cacheProvider,
  fallback: 'database',
  circuitBreaker: {
    failureThreshold: 5,        // Open circuit after 5 failures
    recoveryTimeout: 30000,     // Try recovery after 30 seconds
    healthCacheTTL: 10000       // Cache health status for 10 seconds
  },
  cache: {
    enabled: true,
    defaultTTL: 300000,         // 5 minute default cache TTL
    maxSize: 10000              // Maximum cached items
  },
  performance: {
    enableMetrics: true,        // Enable performance tracking
    logQueries: false,          // Log all queries (debug mode)
    slowQueryThreshold: 1000    // Log queries slower than 1 second
  }
});

📊 Performance Monitoring

// Get search statistics
const stats = await search.getSearchStats();
console.log('Cache Health:', stats.cacheHealth);
console.log('Database Health:', stats.databaseHealth);
console.log('Circuit Breaker:', stats.circuitBreaker);
console.log('Recommended Strategy:', stats.recommendedStrategy);

// Perform search with performance tracking
const { results, performance, strategy } = await search.search('query');
console.log(`Search completed in ${performance.searchTime}ms`);
console.log(`Results: ${performance.resultCount}`);
console.log(`Strategy: ${performance.strategy} (cache hit: ${performance.cacheHit})`);

🔄 Circuit Breaker Pattern

The circuit breaker automatically handles failures:

// Circuit breaker states:
// - CLOSED: Normal operation, requests flow through
// - OPEN: Failures detected, requests go to fallback
// - HALF_OPEN: Testing if service recovered

const stats = await search.getSearchStats();
if (stats.circuitBreaker.isOpen) {
  console.log(`Circuit breaker is OPEN (${stats.circuitBreaker.failureCount} failures)`);
  console.log(`Next retry in: ${stats.circuitBreaker.nextRetryTime - Date.now()}ms`);
}

🛠️ Provider Development

Create custom providers by implementing the provider interfaces:

import { DatabaseProvider, SearchResult, SearchOptions, HealthStatus } from '@bilgrami/smart-search';

class CustomDatabaseProvider implements DatabaseProvider {
  name = 'CustomDB';

  async connect(): Promise<void> {
    // Implementation
  }

  async search(query: string, options: SearchOptions): Promise<SearchResult[]> {
    // Implementation
  }

  async checkHealth(): Promise<HealthStatus> {
    // Implementation
  }

  // ... other required methods
}

🎯 Showcases & Demos

We provide comprehensive showcase applications demonstrating real-world usage patterns with different database and cache combinations:

Interactive Showcases

| Showcase | Database + Cache | Industry Focus | Port | Features | |--------------|---------------------|-------------------|----------|-------------| | PostgreSQL + Redis | PostgreSQL + Redis | Healthcare Research | 3002 | Advanced full-text search, GIN indexes, relevance ranking | | MySQL + DragonflyDB | MySQL + DragonflyDB | Financial Services | 3003 | FULLTEXT indexes, high-performance caching | | MongoDB + Memcached | MongoDB + Memcached | E-commerce Retail | 3004 | Text indexes, aggregation pipelines, distributed caching | | Delta Lake + Redis | Delta Lake + Redis | Financial Analytics | 3005 | ACID transactions, time travel, columnar storage |

Data Scale Options

Each showcase supports multiple dataset sizes for performance testing:

Tiny (1K records) - Quick demos and development
Small (10K records) - Standard testing and integration
Medium (100K records) - Performance benchmarking
Large (1M+ records) - Production-scale testing

Running Showcases

The enhanced screenshot generation system provides comprehensive Docker-integrated testing and documentation generation:

Basic Usage

# Generate screenshots for a specific showcase
./scripts/generate-screenshots-docker.sh postgres-redis

# Generate screenshots for all showcases (comprehensive demo)
./scripts/generate-screenshots-docker.sh all

# Keep Docker services running for development/debugging
./scripts/generate-screenshots-docker.sh deltalake-redis --keep-services

Development & Testing Workflows

# 🏥 Healthcare Research Testing
# Generates screenshots with medical data, clinical trials, drug information
./scripts/generate-screenshots-docker.sh postgres-redis
# → Creates: screenshots/blog/postgres-redis/
# → Demonstrates: PostgreSQL full-text search, GIN indexes, healthcare data patterns

# 💰 Financial Analytics Testing  
# Generates screenshots with trading data, market analysis, portfolio management
./scripts/generate-screenshots-docker.sh mysql-dragonfly
# → Creates: screenshots/blog/mysql-dragonfly/
# → Demonstrates: MySQL FULLTEXT search, DragonflyDB caching, financial datasets

# 🛒 E-commerce Platform Testing
# Generates screenshots with product catalogs, customer data, order histories
./scripts/generate-screenshots-docker.sh mongodb-memcached
# → Creates: screenshots/blog/mongodb-memcached/
# → Demonstrates: MongoDB text indexes, Memcached distribution, retail workflows

# 📊 Big Data Analytics Testing
# Generates screenshots with time-series data, ACID transactions, columnar storage
./scripts/generate-screenshots-docker.sh deltalake-redis
# → Creates: screenshots/blog/deltalake-redis/
# → Demonstrates: Delta Lake time travel, Spark processing, analytics patterns

Documentation Generation

# Generate blog post screenshots with real data
./scripts/generate-screenshots-docker.sh all

# Specific use cases:
# 📝 Create documentation for healthcare guide
./scripts/generate-screenshots-docker.sh postgres-redis

# 📈 Create financial analytics screenshots
./scripts/generate-screenshots-docker.sh deltalake-redis --keep-services

# 🔄 Full platform demonstration (all 4 showcases)
./scripts/generate-screenshots-docker.sh all

Performance Testing Scenarios

The screenshot system now supports separate folders for different dataset sizes and displays the dataset size prominently in the UI with distinctive colors:

# 🟢 Tiny Dataset Testing (1K records) - Teal/Green Badge
DATA_SIZE=tiny ./scripts/generate-screenshots-docker.sh postgres-redis
# → Creates: screenshots/blog/postgres-redis/tiny/
# → UI shows: "TINY DATASET" badge in teal/green
# → Records: "1,000 Healthcare Records"

# 🔵 Small Dataset Testing (10K records) - Blue Badge  
DATA_SIZE=small ./scripts/generate-screenshots-docker.sh mysql-dragonfly
# → Creates: screenshots/blog/mysql-dragonfly/small/
# → UI shows: "SMALL DATASET" badge in blue
# → Records: "10,000 Financial Records"

# 🟠 Medium Dataset Testing (100K records) - Orange Badge
DATA_SIZE=medium ./scripts/generate-screenshots-docker.sh mongodb-memcached
# → Creates: screenshots/blog/mongodb-memcached/medium/
# → UI shows: "MEDIUM DATASET" badge in orange
# → Records: "100,000 E-commerce Records"

# 🔴 Large Dataset Testing (1M+ records) - Red Badge
DATA_SIZE=large ./scripts/generate-screenshots-docker.sh deltalake-redis
# → Creates: screenshots/blog/deltalake-redis/large/
# → UI shows: "LARGE DATASET" badge in red
# → Records: "1,000,000+ Analytics Records"

Visual Dataset Indicators:

Badge Color: Each dataset size has a distinctive background color for easy identification
Record Count: Prominently displayed total records being searched
Cache Status: Real-time cache connection and item count
Responsive Design: Both desktop and mobile screenshots show dataset information

Performance Comparison Examples:

# Compare response times across different dataset sizes
DATA_SIZE=tiny ./scripts/generate-screenshots-docker.sh postgres-redis    # ~5-10ms queries
DATA_SIZE=medium ./scripts/generate-screenshots-docker.sh postgres-redis  # ~25-100ms queries  
DATA_SIZE=large ./scripts/generate-screenshots-docker.sh postgres-redis   # ~100-500ms queries

# Each generates screenshots in separate folders showing:
# - Different colored dataset badges (teal → orange → red)
# - Varying record counts (1K → 100K → 1M+)
# - Performance impact visualization

Advanced Usage Patterns

# Development Mode - Keep services running for interactive testing
./scripts/generate-screenshots-docker.sh postgres-redis --keep-services
# → Access at: http://localhost:3002
# → Test queries: /api/search?q=diabetes
# → View metrics: /api/stats

# CI/CD Integration - Skip data seeding for faster runs  
./scripts/generate-screenshots-docker.sh mongodb-memcached --no-seed

# Continuous Documentation - Generate screenshots on code changes
for showcase in postgres-redis mysql-dragonfly mongodb-memcached deltalake-redis; do
  ./scripts/generate-screenshots-docker.sh $showcase
done

What Each Screenshot Captures

| Screenshot Type | Purpose | Content | |-------------------|-------------|-------------| | Homepage Overview | Initial platform view | Clean interface, feature highlights, data size selector | | Search Results | Core functionality demo | Real search results with relevant data, performance metrics | | Industry-Specific Queries | Domain expertise | Healthcare terms, financial symbols, retail categories | | Performance Statistics | Technical metrics | Response times, cache hit rates, database performance | | Mobile Responsive | Cross-platform compatibility | Mobile-optimized views, touch-friendly interface |

Each showcase generates 8-12 professional screenshots automatically, perfect for:

Blog Posts: Visual demonstrations of real-world usage
Documentation: Technical guides with actual screenshots
Presentations: Professional slides with live data examples
Marketing Materials: Compelling visuals of platform capabilities

📝 Blog Posts & Documentation

Comprehensive guides and tutorials for different user personas:

🏥 Industry-Specific Guides

| Blog Post | Focus | Database + Cache | Use Case | |---------------|-----------|---------------------|--------------| | PostgreSQL + Redis for Healthcare | Healthcare Research | PostgreSQL + Redis | Medical data search, research papers, clinical trials | | MySQL + DragonflyDB for Finance | Financial Services | MySQL + DragonflyDB | Trading data, market analysis, portfolio management | | MongoDB + Memcached for Retail | E-commerce | MongoDB + Memcached | Product catalogs, customer analytics, inventory | | Delta Lake + Redis Analytics | Big Data Analytics | Delta Lake + Redis | Time-series data, ACID transactions, data versioning |

👨‍💻 Developer Guides

| Blog Post | Target Audience | Key Topics | |---------------|-------------------|----------------| | Smart Search for Junior Developers | Junior Developers | Getting started, basic concepts, simple integrations | | Smart Search for Senior Developers | Senior Developers | Advanced patterns, performance optimization, architecture | | Smart Search for Testers | QA Engineers | Testing strategies, performance benchmarks, automation | | Screenshot Generation Guide | All Developers | Documentation automation, visual testing, CI/CD integration |

🔧 Technical Deep Dives

Performance Comparison: Benchmarks across database and cache combinations
Scaling Strategies: Handling millions of records with different architectures
Production Deployment: Best practices for high-availability setups
Monitoring & Observability: Metrics, logging, and alerting strategies

🚀 New Features & Enhancements

Delta Lake Integration

ACID Transactions: Reliable data consistency with schema enforcement
Time Travel Queries: Access historical versions and audit data changes
Columnar Storage: Optimized Parquet format with compression and predicate pushdown
Large Scale Processing: Handle millions of records with Spark integration

Enhanced Data Management

Real Public Datasets: Healthcare, finance, retail, education, and real estate data
Multiple Load Sizes: Tiny (1K), Small (10K), Medium (100K), Large (1M+) records
Automated Data Downloads: Scripts to fetch real datasets from public APIs
Docker Integration: Automated seeding and health checks for all services

Improved Developer Experience

Docker-First Development: Complete development environment with docker-compose
Automated Screenshots: Generate documentation screenshots from real running services
Health Monitoring: Built-in health checks and performance metrics
Load Testing: Performance benchmarks across different data sizes

Production-Ready Features

Circuit Breaker Pattern: Automatic failover and recovery
Performance Monitoring: Built-in metrics collection and slow query detection
Multiple Cache Backends: Redis, DragonflyDB, Memcached, In-Memory support
Flexible Configuration: JSON, YAML, and environment variable support

📋 Technical Specification Tables

Multi-Strategy Search Performance Comparison

| Strategy | Response Time | Cache Hit Rate | Use Case | Failure Handling | Resource Usage | |--------------|------------------|-------------------|--------------|---------------------|-------------------| | ⚡ Cache-First | 10-30ms | 90-95% | Real-time search, frequent queries | Automatic database fallback | Low CPU, High memory | | 🗄️ Database-Only | 40-80ms | 0% (bypassed) | Real-time data, audit trails | N/A (direct database) | High CPU, Low memory | | 🔧 Circuit Breaker | 100-180ms | Variable | Fault-tolerant systems, failover | Automatic recovery with backoff | Medium CPU/memory | | 🤖 Hybrid | 8-80ms | 60-80% | Intelligent routing, mixed workloads | Smart routing with fallback | Balanced CPU/memory |

Dataset Size Performance Benchmarks

| Data Size | UI Badge Color | Record Count | Avg Response Time | Cache Performance | Docker Command | Screenshot Command | |---------------|-------------------|------------------|----------------------|---------------------|-------------------|----------------------| | Tiny | 🟢 Teal/Green | ~1,000 | 5-15ms | >95% hit rate | DATA_SIZE=tiny docker-compose up -d | DATA_SIZE=tiny ./scripts/generate-screenshots-docker.sh postgres-redis | | Small | 🔵 Blue | ~10,000 | 15-35ms | 85-95% hit rate | DATA_SIZE=small docker-compose up -d | DATA_SIZE=small ./scripts/generate-screenshots-docker.sh postgres-redis | | Medium | 🟠 Orange | ~100,000 | 25-100ms | 70-85% hit rate | DATA_SIZE=medium docker-compose up -d | DATA_SIZE=medium ./scripts/generate-screenshots-docker.sh postgres-redis | | Large | 🔴 Red | ~1,000,000+ | 100-500ms | 50-70% hit rate | DATA_SIZE=large docker-compose up -d | DATA_SIZE=large ./scripts/generate-screenshots-docker.sh postgres-redis |

Database + Cache Combinations Technical Specifications

| Showcase | Database | Memory | Cache | Memory | Industry | Port | Specialty Features | Container Commands | |--------------|-------------|-----------|-----------|-----------|-------------|----------|----------------------|----------------------| | PostgreSQL + Redis | PostgreSQL 15 | 512MB | Redis 7.2 | 256MB | Healthcare | 3002 | GIN indexes, tsvector ranking, real-time subscriptions | docker-compose -f docker/postgres-redis.docker-compose.yml up -d | | MySQL + DragonflyDB | MySQL 8.0 | 512MB | DragonflyDB | 256MB | Financial | 3003 | FULLTEXT search, high-performance multi-threading | docker-compose -f docker/mysql-dragonfly.docker-compose.yml up -d | | MongoDB + Memcached | MongoDB 6.0 | 512MB | Memcached | 128MB | E-commerce | 3004 | Text indexes, aggregation pipelines, distributed caching | docker-compose -f docker/mongodb-memcached.docker-compose.yml up -d | | Delta Lake + Redis | Delta Lake | 1GB | Redis Stack | 512MB | Analytics | 3005 | ACID transactions, time travel, columnar storage | docker-compose -f docker/deltalake-redis.docker-compose.yml up -d |

Multi-Strategy Screenshot Generation Commands

| Strategy | Description | Response Time | Visual Indicators | API Command | Screenshot Command | |--------------|-----------------|-------------------|---------------------|----------------|----------------------| | Cache-First | Redis-optimized fast responses | 10-30ms | Green borders, ⚡ icons | curl "localhost:3002/api/search?q=diabetes&strategy=cache-first" | Select "⚡ Cache-First" in UI dropdown | | Database-Only | Direct PostgreSQL queries | 40-80ms | Blue borders, 🗄️ icons | curl "localhost:3002/api/search?q=diabetes&strategy=database-only" | Select "🗄️ Database-Only" in UI dropdown | | Circuit Breaker | Simulated failover scenarios | 100-180ms | Orange warnings, 🔧 icons | curl "localhost:3002/api/search?q=diabetes&strategy=circuit-breaker" | Select "🔧 Circuit Breaker" in UI dropdown | | Hybrid | Intelligent query routing | 8-80ms | Purple hybrid, 🤖 icons | curl "localhost:3002/api/search?q=diabetes&strategy=hybrid" | Select "🤖 Hybrid" in UI dropdown |

Health Check Commands Reference

| Component | Health Check Command | Expected Response | Troubleshooting | |---------------|-------------------------|---------------------|-------------------| | Application | curl http://localhost:3002/api/health | {"success":true,"status":"healthy"} | Check container logs: docker logs docker-saMas-smart-search-postgres-redis-showcase | | PostgreSQL | docker exec docker-saMas-smart-search-postgres-main pg_isready -U search_user -d smartsearch_healthcare | accepting connections | Verify connection: docker exec -it docker-saMas-smart-search-postgres-main psql -U search_user -d smartsearch_healthcare | | Redis | docker exec docker-saMas-smart-search-redis-main redis-cli ping | PONG | Check Redis CLI: docker exec -it docker-saMas-smart-search-redis-main redis-cli | | All Services | docker ps --filter "name=docker-saMas-smart-search" --format "table {{.Names}}\t{{.Status}}" | All containers Up | Restart services: docker-compose down && docker-compose up -d | | Search Stats | curl http://localhost:3002/api/stats | JSON with dataset info | Check API logs and database connections |

Development Workflow Commands

| Use Case | Command | Purpose | Output Location | |--------------|-------------|-------------|-------------------| | Quick Demo | DATA_SIZE=tiny ./scripts/generate-screenshots-docker.sh postgres-redis | Fast testing with 1K records | screenshots/blog/postgres-redis/tiny/ | | Performance Testing | DATA_SIZE=medium ./scripts/generate-screenshots-docker.sh postgres-redis | Standard benchmarking with 100K records | screenshots/blog/postgres-redis/medium/ | | Production Scale | DATA_SIZE=large ./scripts/generate-screenshots-docker.sh postgres-redis | Production testing with 1M+ records | screenshots/blog/postgres-redis/large/ | | Manual Testing | DATA_SIZE=medium docker-compose -f docker/postgres-redis.docker-compose.yml up -d | Interactive development and debugging | Browser: http://localhost:3002 | | All Strategies | ./scripts/generate-screenshots-docker.sh postgres-redis | Complete strategy comparison screenshots | Multiple strategy folders with UI variations | | Health Monitor | watch 'curl -s http://localhost:3002/api/health && curl -s http://localhost:3002/api/stats' | Continuous health and performance monitoring | Real-time terminal output |

Production Deployment Specifications

| Environment | Database Config | Cache Config | Memory Requirements | CPU Requirements | Network | |-----------------|-------------------|----------------|----------------------|-------------------|------------| | Development | PostgreSQL 15 (512MB) | Redis 7.2 (256MB) | 2GB total | 2 cores | Local networking | | Staging | PostgreSQL 15 (1GB) | Redis 7.2 (512MB) | 4GB total | 4 cores | Private VPC | | Production | PostgreSQL 15 (2-4GB) | Redis Cluster (1-2GB) | 8-16GB total | 8+ cores | Load balanced, multi-AZ | | High Scale | Read replicas (4-8GB) | Redis Cluster (2-4GB) | 16-32GB total | 16+ cores | CDN, global distribution |

Key Features by Environment:

Development: Single-node setup, Docker Compose, local testing
Staging: Multi-container setup, automated health checks, integration testing
Production: High availability, automatic failover, comprehensive monitoring
High Scale: Horizontal scaling, multiple regions, advanced caching strategies

📚 API Reference

SmartSearch Class

Constructor

constructor(config: SmartSearchConfig)

Methods

search(query: string, options?: SearchOptions) - Perform intelligent search
getSearchStats() - Get performance and health statistics
getCacheHealth() - Get current cache health status
forceHealthCheck() - Force refresh of health status
clearCache(pattern?: string) - Clear cache data

Search Options

interface SearchOptions {
  limit?: number;              // Maximum results (default: 20)
  offset?: number;             // Pagination offset (default: 0)
  filters?: SearchFilters;     // Search filters
  sortBy?: 'relevance' | 'date' | 'views' | 'name';  // Sort criteria
  sortOrder?: 'asc' | 'desc';  // Sort direction
  cacheEnabled?: boolean;      // Enable/disable caching for this search
  cacheTTL?: number;          // Custom cache TTL for this search
}

Search Filters

interface SearchFilters {
  type?: string[];             // Filter by result types
  category?: string[];         // Filter by categories
  language?: string[];         // Filter by languages
  visibility?: string[];       // Filter by visibility
  dateRange?: {               // Filter by date range
    start?: string;
    end?: string;
  };
  custom?: Record<string, any>; // Custom filters
}

🧪 Testing

Unit Tests

# Run unit tests
npm run test:unit

# Run tests with coverage
npm run test:coverage

# Run tests in watch mode
npm run test:watch

End-to-End Testing with Playwright

Smart Search includes comprehensive E2E tests using Playwright to test showcase applications and generate blog post screenshots.

Prerequisites

# Install Playwright (already included in devDependencies)
npm install

# Install Playwright browsers
npx playwright install

Running E2E Tests

# Run all E2E tests
npm run test:e2e

# Run tests with browser UI (headed mode)
npm run test:e2e:headed

# Run tests in debug mode
npm run test:e2e:debug

# Run specific showcase tests
npx playwright test --grep "postgres-redis"

Using the Test Showcase Script

We provide a comprehensive testing script for easy showcase testing:

# Install Playwright dependencies
./scripts/test-showcase.sh install

# Run all showcase tests
./scripts/test-showcase.sh test

# Run tests with interactive UI
./scripts/test-showcase.sh test-ui

# Generate blog post screenshots
./scripts/test-showcase.sh screenshots postgres-redis

# Run performance benchmarks
./scripts/test-showcase.sh performance

# Debug tests interactively
./scripts/test-showcase.sh debug

# View HTML test report
./scripts/test-showcase.sh report

# Clean test artifacts
./scripts/test-showcase.sh clean

Screenshot Generation for Blog Posts

Automatically generate high-quality screenshots for blog posts and documentation:

# Generate screenshots for PostgreSQL + Redis showcase
./scripts/test-showcase.sh screenshots postgres-redis

# Generated screenshots will be in screenshots/blog/:
# - 01-homepage-overview.png
# - 02-search-results-postgresql.png
# - 03-search-results-redis.png
# - 04-search-results-typescript.png
# - 05-search-results-performance.png
# - 06-results-section-detail.png
# - 07-performance-stats.png
# - 08-performance-info-detail.png
# - 09-filtered-results.png
# - 10-filter-controls.png
# - 11-mobile-homepage.png
# - 12-mobile-search-results.png
# - 13-api-examples.png
# - 14-no-results-state.png
# - 15-initial-empty-state.png

Test Configuration

The Playwright configuration includes:

Multi-browser testing: Chrome, Firefox, Safari, Mobile Chrome, Mobile Safari
Automatic server startup: Starts showcase applications during tests
Screenshot capture: On test failures and for blog posts
Performance monitoring: Response time and throughput measurement
Global setup/teardown: Docker service management and cleanup

Custom Test Utilities

// Screenshot generator utility
const ScreenshotGenerator = require('./tests/utils/screenshot-generator');

const generator = new ScreenshotGenerator({
  baseURL: 'http://localhost:3002',
  outputDir: 'screenshots/blog',
  viewport: { width: 1200, height: 800 }
});

await generator.init();
await generator.generateBlogScreenshots();
await generator.close();

Environment Variables

# Run tests with visible browser
HEADLESS=false npm run test:e2e

# Slow down actions for debugging
SLOW_MO=1000 npm run test:e2e

# Enable Playwright debug mode
PWDEBUG=1 npm run test:e2e

# Stop Docker services after tests
STOP_DOCKER=true npm run test:e2e

Continuous Integration

For CI/CD pipelines:

# Install dependencies and browsers
npm install
npx playwright install --with-deps

# Start Docker services
./scripts/docker-dev.sh start

# Run tests
npm run test:all

# Generate coverage report
npm run test:coverage

# Stop services
./scripts/docker-dev.sh stop

Linting and Type Checking

# Run ESLint
npm run lint

# Fix linting issues
npm run lint:fix

# TypeScript type checking
npm run type-check

🤝 Contributing

We welcome contributions! Please see CONTRIBUTING.md for guidelines.

Fork the repository
Create your feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'Add amazing feature')
Push to the branch (git push origin feature/amazing-feature)
Open a Pull Request

📄 License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

🙏 Acknowledgments

Built with TypeScript for type safety
Inspired by enterprise-grade search architectures
Community-driven development

Made with ❤️ by Syed A Bilgrami

Support this project: GitHub Sponsors | Ko-fi | Follow on X

Published

Vulnerabilities

Links

Maintainers

Keywords

Readme

@bilgrami/smart-search

🌟 Support the Project

✨ Features

🚀 Quick Start

Installation

1. Generate Configuration

2. Configure Your Database & Cache

3. Use SmartSearch

4. Validate & Test Configuration

📚 Complete Documentation & Guides

🏥 Industry Showcase Guides

👨‍💻 Developer Experience Guides

⚙️ Technical Deep Dive Guides

🌍 Platform & Deployment Guides

🚀 Quick Access Guides

🏗️ Multi-Database Architecture Overview

Supported Database & Cache Matrix

Architecture Components

Performance Characteristics

Intelligent Fallback System

🔧 Configuration Examples

Supabase + Redis Configuration (JSON)

Supabase + Redis Cloud (API Key) Configuration

MySQL + Redis Configuration (YAML)

MongoDB + DragonflyDB Configuration

Redis API Key Authentication

⚡ Direct Redis Connection (NEW!)

Direct Redis Provider Usage

Performance Benefits

Configuration Options

🎛️ Advanced Configuration

📊 Performance Monitoring

🔄 Circuit Breaker Pattern

🛠️ Provider Development

🎯 Showcases & Demos

Interactive Showcases

Data Scale Options

Running Showcases

Basic Usage

Development & Testing Workflows

Documentation Generation

Performance Testing Scenarios

Advanced Usage Patterns

What Each Screenshot Captures

📝 Blog Posts & Documentation

🏥 Industry-Specific Guides

👨‍💻 Developer Guides

🔧 Technical Deep Dives

🚀 New Features & Enhancements

Delta Lake Integration

Enhanced Data Management

Improved Developer Experience

Production-Ready Features

📋 Technical Specification Tables

Multi-Strategy Search Performance Comparison

Dataset Size Performance Benchmarks

Database + Cache Combinations Technical Specifications

Multi-Strategy Screenshot Generation Commands

Health Check Commands Reference

Development Workflow Commands

Production Deployment Specifications

📚 API Reference

SmartSearch Class

Constructor

Methods

Search Options

Search Filters

🧪 Testing

Unit Tests

End-to-End Testing with Playwright

Prerequisites

Running E2E Tests

Using the Test Showcase Script

Screenshot Generation for Blog Posts