cPDA (Compressed Program Derived Accounts)
Overview
cPDA represents a innovative approach to blockchain data storage that bridges the gap between cost-effective compressed NFTs and fully queryable Program Derived Accounts. cPDA enables developers to store large files off-chain while maintaining fast, on-chain queryability of their Content Identifiers (CIDs).
What is cPDA?
cPDA (Compressed Program Derived Accounts) is a hybrid storage solution that combines:
- Off-chain file storage on wind network's Lava Lakes (Filecoin & Akave)
- On-chain CID indexing through optimized PDAs
- Sub-100ms query performance via wind network's distributed indexer
- Cost efficiency that's 5x more than cNFTs but significantly cheaper than traditional PDAs
How cPDA Works
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1. File Upload to Lava Lakes
Files of any size are uploaded to wind network's distributed storage layer called "Lava Lakes," which provides:
- Unlimited file sizes - from small documents to large media files
- Content addressing - each file gets a unique CID
- Distributed storage - files are replicated across multiple nodes
- High availability - redundant storage ensures data persistence
2. On-chain CID Storage
The generated CID is stored in a compressed PDA structure:
rustpub struct CompressedCidPDA { pub cid_hash: [u8; 32], // SHA256 of full CID pub file_size: u32, // File size in bytes pub upload_timestamp: u32, // Unix timestamp pub file_type: u8, // File type enum pub access_permissions: u8, // Permission flags pub retrieval_nodes: [u8; 4], // Node addresses for retrieval }
3. wind network Indexing
The wind network indexer processes the PDA data to enable:
- Real-time indexing of new CIDs
- Fast query resolution with sub-100ms response times
- Cross-references between CIDs and file metadata
- Automatic failover for file retrieval
Performance Comparison
Feature | cNFT | cPDA | Traditional PDA | NFT |
---|---|---|---|---|
Cost | Lowest | 5x cNFT | 20-100x cNFT | 10x cNFT |
Query Speed | 400-2400ms | <100ms | 100-500ms | 100-500ms |
File Size Support | Limited | Unlimited | Limited | Limited |
On-chain Queryability | No | Yes | Yes | Yes |
Decentralization | High | High | Medium | Low |
Key Benefits
🚀 Ultra-Fast Queries
- Sub-100ms on-chain CID queries
- 10-24x faster than cNFT indexing solutions
- Real-time data availability
💰 Cost Efficiency
- 95% cheaper than traditional PDA storage for large files
- Only 5x more expensive than cNFTs
- Linear cost scaling regardless of file size
📁 Unlimited File Sizes
- Support for files from bytes to terabytes
- No blockchain transaction size limitations
- Efficient storage on Lava Lakes
🔍 Full On-chain Queryability
- Direct smart contract integration
- Complex query support
- No external indexer dependencies
🌐 Decentralized Architecture
- Distributed across wind network nodes
- No single points of failure
- Community-operated infrastructure
Use Cases
1. Large File Management Systems
Perfect for applications requiring both large file storage and fast metadata queries:
typescript// Store a large video file with instant metadata access const result = await windClient.uploadToCPDA({ file: largeVideoFile, metadata: { title: "Conference Recording", duration: 3600, quality: "4K" } }); // Query metadata in <100ms const metadata = await windClient.queryCID(result.cid);
2. Decentralized Content Distribution
Enable fast content discovery with efficient file retrieval:
typescript// Upload content to cPDA const contentCID = await windClient.uploadContent(podcast); // Users can instantly query if content exists const exists = await contract.verifyCID(contentCID); // <100ms // Retrieve full content when needed const content = await windClient.retrieveFile(contentCID);
3. Legal Document Storage
Combine regulatory compliance with performance:
typescript// Store legal documents with timestamp verification const docResult = await windClient.uploadLegalDoc({ document: contractPDF, attestation: digitalSignature, compliance: "SOX" }); // Fast compliance checks const isCompliant = await contract.checkCompliance(docResult.cid);
4. Academic Research Data
Handle large datasets with instant metadata access:
typescript// Store research dataset const datasetCID = await windClient.uploadDataset({ data: largeBiologyDataset, metadata: { study: "Protein Analysis 2024", size: "50GB", format: "HDF5" } }); // Researchers can quickly verify dataset existence const verified = await contract.verifyDataset(datasetCID);
API Reference
Upload to cPDA
typescriptinterface CPDAUploadOptions { file: File | Buffer; metadata?: Record<string, any>; permissions?: AccessPermissions; redundancy?: number; // Number of storage replicas } interface CPDAUploadResult { cid: string; pda: PublicKey; fileSize: number; uploadTimestamp: number; retrievalNodes: string[]; } const result = await windClient.uploadToCPDA(options);
Query CID On-chain
typescriptinterface CIDQueryOptions { cid: string; includeMetadata?: boolean; verifyIntegrity?: boolean; } interface CIDQueryResult { exists: boolean; fileSize: number; uploadTimestamp: number; fileType: string; permissions: AccessPermissions; retrievalNodes: string[]; metadata?: Record<string, any>; } const result = await windClient.queryCID(cid, options);
Retrieve File
typescriptinterface RetrievalOptions { cid: string; preferredNode?: string; timeout?: number; verifyIntegrity?: boolean; } const file = await windClient.retrieveFile(options);
Smart Contract Integration
Solana Program Integration
rustuse wind_network_sdk::cPDA; #[program] pub mod my_program { pub fn verify_document( ctx: Context<VerifyDocument>, cid: String, ) -> Result<()> { // Query cPDA in <100ms let cid_info = cPDA::query_cid(&cid)?; require!(cid_info.exists, ErrorCode::DocumentNotFound); require!(cid_info.file_size > 0, ErrorCode::InvalidDocument); // Use the verified CID in your program logic ctx.accounts.document_registry.add_verified_document(cid)?; Ok(()) } }
TypeScript Client Integration
typescriptimport { WindClient, cPDA } from '@wind-network/sdk'; class DocumentManager { private windClient: WindClient; constructor() { this.windClient = new WindClient({ endpoint: 'https://api.windnetwork.ai', cluster: 'mainnet-beta' }); } async uploadDocument(file: File, metadata: any) { // Upload to cPDA const result = await this.windClient.uploadToCPDA({ file, metadata, redundancy: 3 // Store on 3 nodes }); // Store CID reference on-chain await this.storeOnChain(result.cid, result.pda); return result; } async verifyDocument(cid: string) { // Fast on-chain verification (<100ms) const exists = await this.windClient.queryCID(cid); return exists.exists && exists.fileSize > 0; } async retrieveDocument(cid: string) { // Retrieve full file from Lava Lakes return await this.windClient.retrieveFile({ cid }); } }
Cost Breakdown
Storage Costs (per 1GB file)
Solution | Upload Cost | Storage Cost/Month | Query Cost | Total (1 year) |
---|---|---|---|---|
cNFT | $0.001 | N/A | $0.01/query | $0.001 + queries |
cPDA | $0.005 | $0.10 | $0.0001/query | $1.205 |
Traditional PDA | $50.00 | $20.00 | $0.001/query | $290.00 |
Centralized Storage | $0.00 | $0.50 | $0.10/query | $6.00 + queries |
Note: Costs are estimates and may vary based on network conditions
Getting Started
1. Install the SDK
bashnpm install @wind-network/sdk # or yarn add @wind-network/sdk
2. Initialize the Client
typescriptimport { WindClient } from '@wind-network/sdk'; const client = new WindClient({ endpoint: 'http://test-may-us-01.windnetwork.ai:3000/api', cluster: 'devnet' // or 'mainnet-beta' });
3. Upload Your First File
typescriptasync function uploadExample() { // Upload a file to cPDA const file = new File(['Hello, cPDA!'], 'example.txt'); const result = await client.uploadToCPDA({ file, metadata: { description: 'My first cPDA upload', category: 'example' } }); console.log('File uploaded with CID:', result.cid); console.log('PDA address:', result.pda.toString()); // Query the CID (should be <100ms) const queryResult = await client.queryCID(result.cid); console.log('Query result:', queryResult); return result; }
Best Practices
1. Optimize for Query Patterns
typescript// Good: Store frequently queried metadata on-chain const result = await client.uploadToCPDA({ file: document, metadata: { title: doc.title, // Frequently searched category: doc.category, // Used for filtering timestamp: Date.now() // Used for sorting } }); // Query pattern const docs = await client.queryMultipleCIDs({ filter: { category: 'legal' }, sortBy: 'timestamp', limit: 100 });
2. Implement Proper Error Handling
typescripttry { const result = await client.uploadToCPDA(options); } catch (error) { if (error.code === 'STORAGE_FULL') { // Retry with different nodes await client.uploadToCPDA({ ...options, preferredNodes: alternativeNodes }); } else if (error.code === 'NETWORK_TIMEOUT') { // Implement exponential backoff await retryWithBackoff(() => client.uploadToCPDA(options)); } }
3. Leverage Caching
typescriptclass CPDACache { private cache = new Map(); async getCIDInfo(cid: string) { if (this.cache.has(cid)) { return this.cache.get(cid); } const info = await client.queryCID(cid); this.cache.set(cid, info); return info; } }
Monitoring and Analytics
Performance Metrics
Track key performance indicators for your cPDA implementation:
typescriptconst metrics = await client.getCPDAMetrics({ timeRange: '24h', metrics: [ 'query_latency', 'upload_success_rate', 'retrieval_speed', 'storage_utilization' ] }); console.log('Average query latency:', metrics.query_latency.avg); // Should be <100ms console.log('Upload success rate:', metrics.upload_success_rate); // Should be >99%
Health Monitoring
typescriptconst health = await client.getSystemHealth(); console.log('Network status:', health.status); console.log('Available storage:', health.storage.available); console.log('Active nodes:', health.nodes.active);
Support and Community
- Documentation: windnetwork.ai/docs
- GitHub: github.com/wind-network
- Telegram - Early Users: @wind_network
- Email: vivek@windnetwork.ai
FAQ
Q: How does cPDA compare to traditional IPFS + blockchain solutions? A: cPDA offers significantly faster on-chain queries (<100ms vs 400-2400ms) while maintaining cost efficiency and decentralization. Traditional IPFS solutions require external indexers, while cPDA queries work directly on-chain.
Q: What happens if Lava Lakes nodes go offline? A: Files are replicated across multiple nodes with automatic failover. The system maintains 99.9% uptime through redundant storage and dynamic node replacement.
Q: Can I migrate existing data to cPDA? A: Yes, we provide migration tools for common storage solutions including IPFS, AWS S3 compatablity, and traditional blockchain storage.
Q: Is cPDA suitable for high-frequency trading applications? A: Absolutely. The sub-100ms query performance makes cPDA ideal for applications requiring real-time data verification with cost efficiency.
Q: How does pricing work for large enterprises? A: We offer volume discounts and custom pricing for enterprise deployments. Contact us for detailed pricing based on your usage patterns.