Building a Stateful VIDA - Part 1
Stateful VIDAs are robust, consistent, and reliable applications that maintain and validate persistent state across execution instances. They are essential for critical use cases such as financial applications, token systems, voting mechanisms, or any application where data integrity and consistency are paramount.
Unlike stateless VIDAs, stateful VIDAs require:
Persistent storage for maintaining state between transactions
State validation to ensure data consistency across network participants
Consensus mechanisms for distributed state agreement
Recovery systems for handling errors and network partitions
What Makes a Production Stateful VIDA Different?
While Lite Stateful VIDAs demonstrate core concepts with simplified implementations, production Stateful VIDAs include:
Storage
HashMap (memory)
MerkleTree (persistent database)
State Verification
None
Cryptographic root hashes
Consensus
Single instance
Multi-peer validation
Recovery
Restart from scratch
Checkpoint-based recovery
Production Ready
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Architecture Overview
This tutorial builds a token transfer system that demonstrates all key concepts of stateful VIDAs:
Database Layer: RocksDB with MerkleTree for cryptographic state verification
Transaction Processing: Handles token transfers with balance validation
Peer Consensus: Validates state consistency across network nodes
API Layer: HTTP endpoints for inter-node communication
Error Recovery: Robust handling of consensus failures and data inconsistencies
Prerequisites
Completed "Building a Lite Stateful VIDA" tutorial
Basic knowledge of REST APIs
Steps to Build a Stateful VIDA
1. Project Setup and Dependencies
Create a new Maven project with the required dependencies for PWR SDK, database storage, and HTTP server.
2. Database Layer Implementation
Create a singleton service for managing persistent state using MerkleTree for cryptographic verification.
Key Features:
MerkleTree Integration: Provides cryptographic state verification through root hashes
Atomic Transfers: Ensures balance consistency during token transfers
Block State Management: Tracks validated states for specific block heights
Error Recovery: Can revert changes when consensus validation fails
3. HTTP API Implementation
Create HTTP endpoints for peer communication and state queries.
Summary of Part 1
In Part 1, we covered the foundational components of a stateful VIDA:
Project Setup: Configured dependencies for PWR SDK, HTTP server, and database integration
Database Layer: Implemented a MerkleTree-backed service for cryptographic state verification and persistent storage
HTTP API: Created endpoints for peer communication and root hash queries
These components provide the infrastructure needed for maintaining and validating persistent state across network participants. In Part 2, we'll implement the transaction processing logic, main application orchestration, and demonstrate how to run the complete stateful VIDA system.
The database layer ensures data integrity through cryptographic verification, while the API layer enables peer consensus validation. Together, they form the foundation for building robust, production-ready stateful applications on the PWR Chain.
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