关于 analyze-gas-optimization
analyze-gas-optimization 是用于分析 Aptos Move 合约 Gas 成本并寻找优化机会的技能。它指导检查存储、计算、引用和集合,并涵盖性能分析与测试注意事项。
主要功能
- 01识别高成本存储和向量操作
- 02检查存储与计算模式
- 03建议批处理和集合替代方案
- 04通过模拟或测试测量 Gas
- 05纳入测试与安全检查
适用场景
- 01在主网部署前评估 Gas 成本
- 02排查较高的交易成本
- 03检查高频操作涉及的合约
- 04结合安全与测试评估优化
安装
复制下面的命令,在终端中运行。
$
npx skills add https:/ / github.com/ aptos-labs/ aptos-agent-skills --skill analyze-gas-optimization安装后在 Claude Code 中输入/analyze-gas-optimization确认已加载。
详细介绍
技能:analyze-gas-optimization
分析并优化 Aptos Move 合约的 Gas 效率,找出高成本操作并提出优化建议。
适用场景
触发短语:
- “优化 Gas”“降低 Gas 成本”“Gas 分析”
- “降低合约成本”“Gas 效率”
- “分析 Gas 用量”“Gas 优化”
- “降低交易成本”
使用场景:
- 主网上部署前
- 交易成本较高时
- 针对高频操作进行优化时
- 构建交易频繁的 DeFi 协议时
Gas 优化核心原则
1. 存储优化
- 尽量减少存储数据的大小
- 使用高效的数据结构
- 高效地打包结构体字段
- 移除不必要的字段
2. 计算优化
- 避免遍历大型集合
- 缓存重复计算的结果
- 尽可能使用位运算
- 尽量减少 vector 操作
3. 引用优化
- 尽可能优先借用而非移动
- 高效使用
&和&mut - 避免不必要的副本
Gas 成本分析
高成本操作
1. 全局存储操作
// EXPENSIVE: Writing to global storage
move_to(account, large_struct);
// EXPENSIVE: Reading and writing
let data = borrow_global_mut<LargeData>(addr);
// EXPENSIVE: Checking existence
if (exists<Resource>(addr)) { ... }
2. Vector 操作
// EXPENSIVE: Growing vectors dynamically
vector::push_back(&mut vec, item); // O(n) worst case
// EXPENSIVE: Searching vectors
vector::contains(&vec, &item); // O(n)
// EXPENSIVE: Removing from middle
vector::remove(&mut vec, index); // O(n)
3. 字符串操作
// EXPENSIVE: String concatenation
string::append(&mut s1, s2);
// EXPENSIVE: UTF8 validation
string::utf8(bytes);
优化模式
1. 批量操作
// BAD: Multiple storage accesses
public fun update_values(account: &signer, updates: vector<Update>) {
let i = 0;
while (i < vector::length(&updates)) {
let update = vector::borrow(&updates, i);
let data = borrow_global_mut<Data>(update.address);
data.value = update.value;
i = i + 1;
}
}
// GOOD: Single storage access with batch update
public fun batch_update(account: &signer, updates: vector<Update>) {
let data = borrow_global_mut<Data>(signer::address_of(account));
let i = 0;
while (i < vector::length(&updates)) {
let update = vector::borrow(&updates, i);
// Update in memory
update_memory_data(data, update);
i = i + 1;
}
}
2. 存储打包
// BAD: Wasteful storage
struct UserData has key {
active: bool, // 1 byte used, 7 wasted
level: u8, // 1 byte used, 7 wasted
score: u64, // 8 bytes
timestamp: u64, // 8 bytes
// Total: 32 bytes (50% wasted)
}
// GOOD: Packed storage
struct UserData has key {
// Pack small fields together
flags: u8, // Bits: [active, reserved...]
level: u8,
reserved: u16, // Future use
score: u64,
timestamp: u64,
// Total: 20 bytes (37.5% saved)
}
3. 延迟求值
// BAD: Always compute expensive value
struct Pool has key {
total_shares: u64,
total_assets: u64,
// Computed on every update
share_price: u64,
}
// GOOD: Compute only when needed
struct Pool has key {
total_shares: u64,
total_assets: u64,
// Don't store computed values
}
public fun get_share_price(pool_addr: address): u64 {
let pool = borrow_global<Pool>(pool_addr);
if (pool.total_shares == 0) {
INITIAL_SHARE_PRICE
} else {
pool.total_assets * PRECISION / pool.total_shares
}
}
4. 事件优化
// BAD: Large event data
struct TradeEvent has drop, store {
pool: Object<Pool>,
trader: address,
token_in: Object<Token>,
token_out: Object<Token>,
amount_in: u64,
amount_out: u64,
fees: u64,
timestamp: u64,
metadata: vector<u8>, // Large metadata
}
// GOOD: Minimal event data
struct TradeEvent has drop, store {
pool_id: u64, // Use ID instead of Object
trader: address,
amounts: u128, // Pack amount_in and amount_out
fees: u64,
// Compute other data from state
}
5. 集合优化
// BAD: Linear search
public fun find_item(items: &vector<Item>, id: u64): Option<Item> {
let i = 0;
while (i < vector::length(items)) {
let item = vector::borrow(items, i);
if (item.id == id) {
return option::some(*item)
};
i = i + 1;
}
option::none()
}
// GOOD: Use Table for O(1) lookup
struct Storage has key {
items: Table<u64, Item>,
}
public fun find_item(storage: &Storage, id: u64): Option<Item> {
if (table::contains(&storage.items, id)) {
option::some(*table::borrow(&storage.items, id))
} else {
option::none()
}
}
Gas 测量
1. 交易模拟
# Simulate to get gas estimate
aptos move run-function \
--function-id 0x1::module::function \
--args ... \
--simulate
# Output includes:
# - gas_unit_price
# - max_gas_amount
# - gas_used
2. Gas 性能分析
#[test]
public fun test_gas_usage() {
// Measure gas for operation
let gas_before = gas::remaining_gas();
expensive_operation();
let gas_used = gas_before - gas::remaining_gas();
// Assert reasonable gas usage
assert!(gas_used < MAX_ACCEPTABLE_GAS, E_TOO_EXPENSIVE);
}
优化检查清单
存储检查清单
- 打包结构体字段以尽量缩小体积
- 使用合适的整数大小(u8、u16、u32、u64)
- 移除不必要的字段
- 考虑将大型数据存储在链下
- 使用事件代替存储来记录日志
计算检查清单
- 缓存重复计算的结果
- 尽量减少对集合的遍历
- 使用提前返回跳过不必要的工作
- 批量执行相似操作
- 避免冗余检查
集合检查清单
- 使用 Table/TableWithLength 进行键值查找
- 对大型集合使用 SmartTable
- 限制 vector 大小
- 对大型结果考虑使用分页
- 使用合适的数据结构
最佳实践
- 优化前后都进行性能分析
- 在单元测试中测试 Gas 用量
- 记录公开函数的 Gas 成本
- 在合约设计中考虑 Gas 成本
- 监控主网 Gas 用量
常见 Gas 优化
1. 用 Table 替代 Vector
// Before: O(n) search
struct Registry has key {
users: vector<User>,
}
// After: O(1) lookup
struct Registry has key {
users: Table<address, User>,
user_list: vector<address>, // If iteration needed
}
2. 尽量减少存储读取
// Before: Multiple reads
public fun transfer(from: &signer, to: address, amount: u64) {
assert!(get_balance(signer::address_of(from)) >= amount, E_INSUFFICIENT);
let from_balance = borrow_global_mut<Balance>(signer::address_of(from));
let to_balance = borrow_global_mut<Balance>(to);
// ...
}
// After: Single read with validation
public fun transfer(from: &signer, to: address, amount: u64) {
let from_addr = signer::address_of(from);
let from_balance = borrow_global_mut<Balance>(from_addr);
assert!(from_balance.value >= amount, E_INSUFFICIENT);
// ... rest of logic
}
3. 使用位标志
// Before: Multiple bool fields (8 bytes each)
struct Settings has copy, drop, store {
is_active: bool,
is_paused: bool,
is_initialized: bool,
allows_deposits: bool,
}
// After: Single u8 (1 byte)
struct Settings has copy, drop, store {
flags: u8, // Bit 0: active, 1: paused, 2: initialized, 3: deposits
}
const FLAG_ACTIVE: u8 = 1; // 0b00000001
const FLAG_PAUSED: u8 = 2; // 0b00000010
const FLAG_INITIALIZED: u8 = 4; // 0b00000100
const FLAG_DEPOSITS: u8 = 8; // 0b00001000
public fun is_active(settings: &Settings): bool {
(settings.flags & FLAG_ACTIVE) != 0
}
Gas 优化报告模板
# Gas Optimization Report
## Summary
- Current average gas: X units
- Optimized average gas: Y units
- Savings: Z% reduction
## Optimizations Applied
### 1. Storage Optimization
- Packed struct fields (saved X bytes)
- Replaced vectors with tables (O(n) → O(1))
- Removed redundant fields
### 2. Computation Optimization
- Cached price calculations (saved X operations)
- Batched updates (N calls → 1 call)
- Early returns in validation
### 3. Event Optimization
- Reduced event size from X to Y bytes
- Removed redundant event fields
## Measurements
| Function | Before | After | Savings |
| -------- | ------ | ------ | ------- |
| mint | 50,000 | 35,000 | 30% |
| transfer | 30,000 | 25,000 | 17% |
| swap | 80,000 | 60,000 | 25% |
## Recommendations
1. Consider further optimizations for high-frequency functions
2. Monitor mainnet usage patterns
3. Set up gas usage alerts
集成说明
- 与
security-audit配合使用,确保优化不会损害安全性 - 与
generate-tests配合使用,验证优化后仍保持正确性 - 主网部署前,在
deploy-contracts之前应用 - 详细模式请参阅
STORAGE_OPTIMIZATION.md
绝对禁止事项
- ❌ 绝不移除安全检查(访问控制、输入验证)来进行优化
- ❌ 绝不在未重新测试的情况下部署优化后的代码
- ❌ Gas 分析期间绝不读取
.env或~/.aptos/config.yaml(其中包含私钥)
参考资料
- Aptos Gas 费用表:https://github.com/aptos-labs/aptos-core/blob/main/aptos-move/aptos-gas-schedule
- Move VM Gas 计量:https://github.com/aptos-labs/aptos-core/tree/main/aptos-move/aptos-vm
- Gas 优化模式:查看 daily-move 仓库中的实际示例
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