haro

v17.0.3

Published

a month ago

A fast, flexible immutable DataStore for collections of records with indexing, versioning, and advanced querying capabilities

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immutable data store datastore collection index indexing query search filter versioning batch bulk memory cache map haro

Haro

A fast, flexible immutable DataStore for collections of records with indexing, versioning, and advanced querying capabilities.

Key Features

⚡ Blazing Fast: O(1) indexed lookups - up to 500K ops/sec for instant data access
📚 Built-in Versioning: Automatic change tracking without writing audit trail code
🔒 Immutable Mode: Data safety with frozen objects - prevent accidental mutations
🔍 Advanced Querying: Complex queries with find(), where(), search() - no manual filtering
🎯 Deep Indexing: Query nested objects with dot notation (e.g., user.profile.department)
🗄️ LRU Caching: Built-in cache for repeated queries with automatic invalidation
📦 Batch Operations: Process thousands of records in milliseconds with setMany()/deleteMany()
🛠️ Zero Boilerplate: No setup required - just instantiate and query
📝 TypeScript Ready: Full type definitions included - no @types packages needed
🎯 Zero Dependencies: Pure JavaScript, ~8KB gzipped - nothing extra to install

Why Choose Haro?

⏱️ Save Development Time

No more manual indexing: Define fields once, get instant O(1) lookups automatically
Built-in versioning: Track changes without writing audit trail code
Zero boilerplate: No setup, configuration, or initialization code needed
Instant queries: Complex filtering with one-liners instead of loops and conditionals

🚀 Performance Benefits

500K+ ops/sec: Blazing fast indexed lookups for real-time applications
Automatic optimization: Indexes maintained automatically on every operation
Batch operations: Process 10,000 records in milliseconds
Memory efficient: Optimized data structures for minimal overhead

🛡️ Data Safety

Immutable mode: Prevent accidental mutations with frozen objects
Type safety: Full TypeScript support catches errors at compile time
Version history: Roll back to previous states when needed
Validation: Built-in checks prevent invalid data

Installation

npm

npm install haro

yarn

yarn add haro

pnpm

pnpm add haro

Quick Start

import { haro } from 'haro';

const store = haro([{ id: 1, name: 'Alice' }], { index: ['name'] });
console.log(store.find({ name: 'Alice' }));

Usage

Factory Function

import { haro } from 'haro';
const store = haro(data, config);

Class Constructor

import { Haro } from 'haro';

const store = new Haro({
  index: ['name', 'email', 'department'],
  key: 'id',
  versioning: true,
  immutable: true
});

const users = new Haro([
  { name: 'Alice', email: '[email protected]', department: 'Engineering' },
  { name: 'Bob', email: '[email protected]', department: 'Sales' }
], {
  index: ['name', 'department'],
  versioning: true
});

Class Inheritance

import { Haro } from 'haro';

class UserStore extends Haro {
  constructor(config) {
    super({
      index: ['email', 'department', 'role'],
      key: 'id',
      versioning: true,
      ...config
    });
  }

  isValidEmail(email) {
    return /^[^\s@]+@[^\s@]+\.[^\s@]+$/.test(email);
  }
}

const store = new UserStore();
const user = store.set(null, { 
  name: 'John', 
  email: '[email protected]' 
});

Configuration Options

cache

Boolean - Enable LRU caching for search() and where() methods (default: false)

const store = haro(null, { cache: true });

cacheSize

Number - Maximum number of cached query results (default: 1000)

const store = haro(null, { cache: true, cacheSize: 500 });

delimiter

String - Delimiter for composite indexes (default: '|')

const store = haro(null, { delimiter: '::' });

id

String - Unique identifier for this store instance. Auto-generated if not provided.

const store = haro(null, { id: 'user-cache' });

immutable

Boolean - Return frozen/immutable objects for data safety (default: false)

const store = haro(null, { immutable: true });

index

Array - Fields to index for faster searches. Supports composite indexes.

const store = haro(null, {
  index: ['name', 'email', 'name|department', 'department|role']
});

key

String - Primary key field name (default: 'id')

const store = haro(null, { key: 'userId' });

versioning

Boolean - Enable version history tracking (default: false)

const store = haro(null, { versioning: true });

TypeScript Support

TypeScript definitions are included - no separate installation needed.

import { Haro } from 'haro';

const store = new Haro<{ name: string; age: number }>({
  index: ['name'],
  key: 'id'
});

Real-World Examples

⚡ Instant Setup - Zero Boilerplate

import { haro } from 'haro';

// One line to create indexed store
const users = haro(null, { index: ['email', 'name'] });

// Add data
users.set(null, { name: 'Alice', email: '[email protected]' });

// Instant lookup - O(1) performance
const user = users.find({ email: '[email protected]' });

Time saved: No manual index creation, no caching logic, no performance tuning.

Indexing and Queries

import { haro } from 'haro';

const products = haro(null, {
  index: ['category', 'brand', 'price', 'category|brand']
});

products.setMany([
  { sku: '1', name: 'Laptop', category: 'Electronics', brand: 'Apple', price: 2499 },
  { sku: '2', name: 'Phone', category: 'Electronics', brand: 'Apple', price: 999 },
  { sku: '3', name: 'Headphones', category: 'Electronics', brand: 'Sony', price: 299 }
]);

// Find by indexed field
const electronics = products.find({ category: 'Electronics' });

// Complex queries
const appleProducts = products.where({ 
  category: 'Electronics', 
  brand: 'Apple' 
}, '&&');

// Search with regex
const searchResults = products.search(/^Laptop$/, 'name');

// Filter with custom logic
const affordable = products.filter(p => p.price < 500);

// Sort and paginate
const sorted = products.sortBy('price');
const page1 = products.limit(0, 10);

Deep Indexing (Nested Paths)

import { haro } from 'haro';

const users = haro(null, {
  index: ['name', 'user.email', 'user.profile.department', 'user.email|user.profile.department']
});

users.setMany([
  { 
    id: '1', 
    name: 'Alice', 
    user: { 
      email: '[email protected]',
      profile: { department: 'Engineering' }
    } 
  },
  { 
    id: '2', 
    name: 'Bob', 
    user: { 
      email: '[email protected]',
      profile: { department: 'Sales' }
    } 
  }
]);

// Find by nested field
const alice = users.find({ 'user.email': '[email protected]' });

// Query by deeply nested field
const engineers = users.find({ 'user.profile.department': 'Engineering' });

// Composite index with nested fields
const aliceEng = users.find({
  'user.email': '[email protected]',
  'user.profile.department': 'Engineering'
});

// Works with where(), search(), and sortBy()
const results = await users.where({ 'user.profile.department': 'Engineering' });
const sorted = users.sortBy('user.profile.department');

Versioning

import { haro } from 'haro';

const config = haro(null, { versioning: true });

config.set('api.timeout', { value: 30000 });
config.set('api.timeout', { value: 45000 });
config.set('api.timeout', { value: 60000 });

// Access version history
const history = config.versions.get('api.timeout');
console.log(history); // [previous versions]

Immutable Mode

import { haro } from 'haro';

const store = haro(null, { immutable: true });

const user = store.set(null, { name: 'Alice', age: 30 });

// Attempting to modify will throw
try {
  user.age = 31; // TypeError: Cannot assign to read only property
} catch (error) {
  console.error(error.message);
}

Caching

import { haro } from 'haro';

const store = haro(null, { 
  index: ['name'],
  cache: true,
  cacheSize: 1000
});

store.set("user1", { id: "user1", name: "John" });

// First call - cache miss
const results1 = await store.where({ name: "John" });

// Second call - cache hit (much faster)
const results2 = await store.where({ name: "John" });

// Get cache statistics
console.log(store.getCacheStats()); // { hits: 1, misses: 1, sets: 1, ... }

// Clear cache manually
store.clearCache();

Comparison with Alternatives

| Feature | Haro | Map | Object | lowdb | LokiJS | |---------|------|-----|--------|-------|--------| | Indexing | ✅ Multi-field | ❌ | ❌ | ⚠️ Limited | ✅ | | Versioning | ✅ Built-in | ❌ | ❌ | ❌ | ⚠️ Plugins | | Immutable Mode | ✅ | ❌ | ❌ | ❌ | ❌ | | Advanced Queries | ✅ find/where/search | ❌ | ❌ | ⚠️ Basic | ✅ | | Batch Operations | ✅ setMany/deleteMany | ❌ | ❌ | ⚠️ Manual | ✅ | | Persistence | ❌ In-memory | ❌ | ❌ | ✅ JSON/Local | ✅ | | Performance (1k records) | ⚡ Fast | ⚡ Fastest | ⚡ Fast | 🐌 Slower | ⚡ Fast | | Memory Overhead | Medium | Low | Low | Medium | High | | TypeScript Support | ✅ | ✅ | ✅ | ✅ | ⚠️ Community | | Bundle Size | ~6KB gzipped | Native | Native | ~8KB | ~2.6MB | | Learning Curve | Low | Low | Low | Low | Medium |

Legend: ✅ Yes | ❌ No | ⚠️ Limited/Optional

When to Choose Each

Map: Simple key-value storage, maximum performance
Object: Basic data structures, JSON serialization
lowdb: Persistent JSON file storage, simple queries
LokiJS: Complex queries, large datasets, in-memory database needs
Haro: Indexed queries, versioning, immutable data, moderate datasets

API Reference

For complete API documentation with all methods and examples, see API.md.

Quick Overview:

Core Methods: set(), get(), delete(), has(), clear()
Query Methods: find(), where(), search(), filter(), sortBy(), limit()
Batch Operations: setMany(), deleteMany()
Utility Methods: toArray(), dump(), override()
Properties: size, registry

Troubleshooting

Common Issues

"Cannot read property 'length' of undefined"

Cause: Passing invalid data to find() or where().

Solution: Ensure query objects have valid field names that exist in your index.

// ❌ Wrong
store.find(undefined);

// ✅ Correct
store.find({ name: 'Alice' });

Performance degradation with large datasets

Cause: Too many indexes or complex queries on large collections.

Solution:

Limit indexes to frequently queried fields
Use limit() for pagination
Consider batch operations for bulk updates

// Optimize indexes
const store = haro(null, { 
  index: ['name', 'email'] // Only essential fields
});

// Use pagination
const results = store.limit(0, 100);

Version history growing unbounded

Cause: Versioning enabled with frequent updates.

Solution: Clear version history periodically or disable versioning if not needed.

// Clear specific version history
store.versions.delete('key123');

// Clear all versions
store.versions.clear();

// Disable versioning if not needed
const store = haro(null, { versioning: false });

Immutable mode causing errors

Cause: Attempting to modify frozen objects.

Solution: Use set() to update records instead of direct mutation.

// ❌ Wrong
const user = store.get('user123');
user.age = 31;

// ✅ Correct
store.set('user123', { age: 31 });

Index not being used for query

Cause: Querying non-indexed fields.

Solution: Add the field to the index configuration.

const store = haro(null, { 
  index: ['name', 'email', 'department'] 
});

Error Messages

| Error | Cause | Solution | |-------|-------|----------| | "Key field validation error" | Missing key field in data | Ensure key field exists in records | | "Index must be an array" | Invalid index configuration | Pass array to index option | | "Function required" | Invalid function parameter | Pass a function to filter() or map() | | "Invalid index name" | Sorting by non-indexed field | Add field to index or use sort() |

Getting Help

Check API.md for complete documentation
Review examples in API docs
Open an issue on GitHub

Testing

# Run unit tests
npm test

# Run with coverage
npm run coverage

# Run performance benchmarks
npm run benchmark

See CONTRIBUTING.md for detailed testing guidelines.

Benchmarks

Haro includes comprehensive benchmark suites for performance analysis.

Running Benchmarks

# Run all benchmarks
node benchmarks/index.js

# Run specific categories
node benchmarks/index.js --basic-only        # CRUD operations
node benchmarks/index.js --search-only       # Query operations
node benchmarks/index.js --index-only        # Index operations
node benchmarks/index.js --utilities-only    # Utility operations
node benchmarks/index.js --pagination-only   # Pagination benchmarks
node benchmarks/index.js --persistence-only  # Persistence benchmarks
node benchmarks/index.js --core-only         # Core benchmarks (basic, search, index)
node benchmarks/index.js --quiet             # Minimal output

Performance Overview

Haro provides excellent performance for in-memory data operations:

Indexed lookups: O(1) performance for find() operations
Batch operations: Efficient bulk data processing
Memory efficiency: Optimized data structures
Scalability: Consistent performance across different data sizes

Benchmark Results (5-run average)

| Operation | Latency (avg) | Throughput (ops/s) | |-----------|---------------|-------------------| | Basic Operations | | set() 10000 records | 1507 ms | 747 ops/s | | get() 10000 records | 35 ms | 29015 ops/s | | has() 10000 keys | 2 ms | 495325 ops/s | | delete() 10000 records | 2353 ms | 432 ops/s | | Search & Filter | | find() by indexed field 10000 records | 98 ms | 10299 ops/s | | where() by indexed field 10000 records | 222 ms | 4516 ops/s | | search() in index 10000 records | 116 ms | 8716 ops/s | | filter() all records 10000 records | 115 ms | 8822 ops/s | | Index Operations | | haro() with indexes 10000 records | 10842 ms | 94 ops/s | | find() with index 10000 records | 3996 ms | 267 ops/s | | reindex() single field 10000 records | 5739 ms | 182 ops/s | | Utility Operations | | toArray() 1000 iterations | 21 ms | 47750 ops/s | | entries() 1000 iterations | 92 ms | 10986 ops/s | | keys() 1000 iterations | 17 ms | 59043 ops/s | | values() 1000 iterations | 17 ms | 60553 ops/s | | Pagination | | limit() 10 10000 records | 15 ms | 69050 ops/s | | limit() 50 10000 records | 16 ms | 65516 ops/s | | limit() 100 10000 records | 17 ms | 61172 ops/s | | limit() with offset 10000 records | 16 ms | 65522 ops/s | | Persistence | | dump() records 5000 records | 75 ms | 13583 ops/s |

See benchmarks/README.md for complete benchmark documentation and detailed results.

Learn More

API Reference - Complete API documentation
Contributing Guide - How to contribute
Benchmarks - Performance analysis
Changelog - Version history
Security - Security policy

Community

Report Issues: GitHub Issues