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Michael Ace.
Sep 05, 2025
专家问答

I'm facing performance issues

I'm facing performance issues in my DeFi protocol's resource management system. Here's my specific challenge:

// Current inefficient implementation
resource struct Asset {
    value: u64,
    metadata: Metadata,
}
// Multiple storage slots causing high gas costs
let slot1 = move_from<Asset>(&mut account.assets);

I need to optimize storage and parallel processing while maintaining Move's security guarantees. Could you suggest an architecture that would reduce transaction processing time by 40% and storage costs by 30%, while preserving resource invariants during parallel execution?

  • Move CLI
  • Move
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答案

1
Stefan.
Sep 7 2025, 11:15

I have had issue like this once, I'll show you how to optimize your resource management system for better performance while maintaining security guarantees. Here's my approach:

Core Concepts

When optimizing resource management in Move, I focus on three essential components:

  1. Storage Optimization
  • Batch storage operations
  • Minimize individual slot access
  • Use efficient data structures
  1. Parallel Processing
  • Process independent resources concurrently
  • Maintain resource invariants
  • Optimize transaction ordering
  1. State Management
  • Atomic operations
  • Proper locking mechanisms
  • Version tracking

Implementation

resource struct Asset {
    value: u64,
    metadata: Metadata,
    version: u64,
}

resource struct AssetBatch {
    assets: vector<Asset>,
    last_update: u64,
}

fun process_assets_in_parallel(
    account: signer,
    assets: vector<Asset>
): bool {
    let state = borrow_global_mut<T>(account.address());
    
    // Group assets by dependencies
    let independent_assets = group_independent(assets);
    
    // Process in parallel batches
    for batch in independent_assets {
        parallel::for_each(batch, |asset| {
            if can_process_asset(&state, &asset) {
                process_asset(&mut state, asset);
            }
        });
    }
    
    true
}

fun can_process_asset(
    state: &T,
    asset: &Asset
): bool {
    // Check dependencies
    for dep in &asset.dependencies {
        if !state.processed.contains(dep) {
            return false;
        }
    }
    
    // Check version
    if state.version != asset.version {
        return false;
    }
    
    true
}

Key Optimization Techniques

  1. Storage Efficiency
  • Use batched storage operations
  • Implement efficient data structures
  • Minimize individual slot access
  1. Parallel Execution
  • Process independent assets concurrently
  • Maintain resource invariants
  • Optimize transaction ordering
  1. State Consistency
  • Use atomic operations
  • Implement proper locking
  • Maintain version tracking

This implementation provides a robust foundation for optimizing your resource management system while maintaining Move's security guarantees. The batch processing and parallel execution features help achieve the desired performance improvements while ensuring resource safety.

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Move is an executable bytecode language used to implement custom transactions and smart contracts.

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