Performance Optimization
Overview
This guide outlines strategies and implementations for optimizing the L4VA API's performance across multiple layers: API, Database, Caching, and Blockchain interactions.
API Layer Optimization
1. Request-Response Optimization
interface ResponseOptimization {
// Field selection
fields?: string[]; // Selected fields to return
expand?: string[]; // Related data to include
version?: string; // Response format version
}
// Implementation
const optimizeResponse = (data: any, options: ResponseOptimization) => {
const optimized = options.fields
? pickFields(data, options.fields)
: data;
if (options.expand) {
await expandRelations(optimized, options.expand);
}
return optimized;
};
// Usage example
app.get('/api/v1/vaults/:id', async (req, res) => {
const vault = await VaultService.findById(req.params.id);
const optimized = await optimizeResponse(vault, {
fields: ['id', 'status', 'assets'],
expand: ['activeProposals']
});
res.json(optimized);
});
2. Request Batching
interface BatchRequest {
id: string;
method: string;
path: string;
body?: any;
}
const batchHandler = async (requests: BatchRequest[]) => {
return Promise.all(requests.map(async (request) => {
try {
const result = await router.handle(request);
return {
id: request.id,
status: 'success',
data: result
};
} catch (error) {
return {
id: request.id,
status: 'error',
error: error.message
};
}
}));
};
3. Rate Limiting with Redis
class RateLimiter {
private redis: Redis;
async checkLimit(key: string, limit: number, window: number): Promise<boolean> {
const multi = this.redis.multi();
const now = Date.now();
multi.zremrangebyscore(key, 0, now - window);
multi.zadd(key, now, `${now}`);
multi.zcard(key);
const [,, count] = await multi.exec();
return count < limit;
}
}
Database Optimization
1. Query Optimization
// Optimized query builder
class QueryBuilder {
private query: any = {};
private options: QueryOptions = {};
// Index-aware filtering
addFilter(field: string, value: any) {
if (this.hasIndex(field)) {
this.query[field] = value;
} else {
this.options.postProcess = true;
}
}
// Efficient pagination
setPagination(page: number, limit: number) {
this.options.skip = (page - 1) * limit;
this.options.limit = limit;
this.options.sort = { _id: 1 }; // Index-based sorting
}
// Selective field projection
selectFields(fields: string[]) {
this.options.projection = fields.reduce((acc, field) => {
acc[field] = 1;
return acc;
}, {});
}
}
2. Aggregation Pipeline Optimization
const optimizedAggregation = [
// Early filtering
{
$match: {
status: 'ACTIVE',
'assetWindow.endTime': { $gt: new Date() }
}
},
// Limit fields early
{
$project: {
id: 1,
status: 1,
assets: 1
}
},
// Use index for sorting
{
$sort: {
'assetWindow.endTime': 1
}
},
// Paginate results
{
$skip: skip
},
{
$limit: limit
}
];
3. Indexing Strategy
interface IndexStrategy {
// Compound indexes for common queries
compoundIndexes: {
vault_status_type: { status: 1, type: 1 },
proposal_vault_status: { vaultId: 1, status: 1 },
asset_contract_token: { contractAddress: 1, tokenId: 1 }
};
// Text indexes for search
textIndexes: {
vault_search: { name: 'text', description: 'text' }
};
// Partial indexes for active records
partialIndexes: {
active_vaults: {
index: { status: 1 },
filter: { status: 'ACTIVE' }
}
};
}
Caching Layer
1. Multi-Level Caching
class CacheManager {
private memoryCache: Map<string, any>;
private redis: Redis;
async get(key: string, fetchFn: () => Promise<any>) {
// Check memory cache
if (this.memoryCache.has(key)) {
return this.memoryCache.get(key);
}
// Check Redis cache
const redisValue = await this.redis.get(key);
if (redisValue) {
this.memoryCache.set(key, redisValue);
return redisValue;
}
// Fetch and cache
const value = await fetchFn();
await this.set(key, value);
return value;
}
async set(key: string, value: any) {
this.memoryCache.set(key, value);
await this.redis.set(key, value);
}
}
2. Cache Invalidation Strategy
interface CacheInvalidation {
patterns: {
vault: 'vault:*',
proposal: 'proposal:*',
asset: 'asset:*'
};
dependencies: {
vault: ['asset', 'proposal'],
proposal: ['vote'],
asset: ['valuation']
};
}
class CacheInvalidator {
async invalidate(type: string, id: string) {
const pattern = this.patterns[type];
const keys = await this.redis.keys(pattern);
// Invalidate direct cache
await this.redis.del(keys);
// Invalidate dependencies
for (const depType of this.dependencies[type]) {
await this.invalidate(depType, id);
}
}
}
Blockchain Optimization
1. Transaction Batching
class TransactionBatcher {
private queue: Transaction[] = [];
private batchSize: number = 10;
private batchTimeout: number = 5000;
async addTransaction(tx: Transaction) {
this.queue.push(tx);
if (this.queue.length >= this.batchSize) {
await this.processBatch();
}
}
private async processBatch() {
const batch = this.queue.splice(0, this.batchSize);
const multicall = await this.createMulticall(batch);
return await this.sendTransaction(multicall);
}
}
2. Event Processing Optimization
class EventProcessor {
private lastProcessedBlock: number;
private batchSize: number = 1000;
async processEvents(startBlock: number, endBlock: number) {
for (let block = startBlock; block <= endBlock; block += this.batchSize) {
const events = await this.fetchEvents(block, block + this.batchSize);
await this.processEventBatch(events);
}
}
private async processEventBatch(events: Event[]) {
// Group events by type
const grouped = groupBy(events, 'eventType');
// Process each type in parallel
await Promise.all(
Object.entries(grouped).map(([type, events]) =>
this.processEventType(type, events)
)
);
}
}
Load Testing and Monitoring
1. Load Testing Configuration
interface LoadTest {
scenarios: {
name: string;
weight: number;
flow: RequestFlow[];
}[];
thresholds: {
http_req_duration: ['p(95)<500'],
http_reqs: ['rate>100'],
errors: ['rate<0.1']
};
stages: {
duration: string;
target: number;
}[];
}
2. Performance Monitoring
interface PerformanceMetrics {
// API metrics
api: {
responseTime: Histogram;
requestRate: Counter;
errorRate: Counter;
};
// Database metrics
db: {
queryTime: Histogram;
connectionPool: Gauge;
activeQueries: Gauge;
};
// Cache metrics
cache: {
hitRate: Gauge;
missRate: Gauge;
evictionRate: Counter;
};
// Blockchain metrics
blockchain: {
transactionTime: Histogram;
gasUsage: Histogram;
nodeLatency: Gauge;
};
}
Best Practices
-
API Optimization
- Implement field selection
- Use request batching
- Enable compression
- Optimize payload size
-
Database Optimization
- Create efficient indexes
- Optimize query patterns
- Use connection pooling
- Implement sharding strategy
-
Caching Strategy
- Implement multi-level caching
- Use appropriate TTLs
- Handle cache invalidation
- Monitor cache hit rates
-
Blockchain Optimization
- Batch transactions
- Implement retry strategies
- Optimize gas usage
- Cache blockchain data
-
Monitoring and Alerting
- Track key metrics
- Set up alerts
- Monitor resource usage
- Analyze performance trends
Implementation Checklist
- Configure response optimization
- Implement query optimization
- Set up caching layer
- Configure blockchain batching
- Implement monitoring
- Set up load testing
- Document optimization strategies
- Train team on best practices