技能 编程开发 Hex API性能调优指南

Hex API性能调优指南

v20260423
hex-performance-tuning
本指南提供了优化Hex API集成性能的实用技术。内容涵盖了实现缓存策略(如LRU缓存)、并行执行多个独立任务以及采用自适应轮询间隔等关键优化方法。当遇到API响应缓慢或需要高吞吐量数据处理时,使用本知识库进行性能调优。
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概览

Hex Performance Tuning

Latency Benchmarks

Operation Typical Duration
ListProjects 200-500ms
RunProject (trigger) 500ms-2s
Project execution 10s-30min (depends on queries)
GetRunStatus (poll) 100-300ms

Instructions

Cache Project Lists

import { LRUCache } from 'lru-cache';
const projectCache = new LRUCache<string, any>({ max: 50, ttl: 300000 }); // 5 min

async function getCachedProjects(client: HexClient) {
  const cached = projectCache.get('projects');
  if (cached) return cached;
  const projects = await client.listProjects();
  projectCache.set('projects', projects);
  return projects;
}

Parallel Independent Runs

// Run independent projects in parallel (respecting rate limits)
async function parallelRuns(client: HexClient, configs: Array<{ id: string; params: any }>) {
  return Promise.allSettled(
    configs.map(c => runWithRetry(client, c.id, c.params))
  );
}

Optimize Poll Interval

// Adaptive polling: start fast, slow down
async function adaptivePoll(client: HexClient, projectId: string, runId: string) {
  let interval = 2000; // Start at 2s
  while (true) {
    const status = await client.getRunStatus(projectId, runId);
    if (['COMPLETED', 'ERRORED', 'KILLED'].includes(status.status)) return status;
    await new Promise(r => setTimeout(r, interval));
    interval = Math.min(interval * 1.5, 30000); // Max 30s
  }
}

Resources

信息
Category 编程开发
Name hex-performance-tuning
版本 v20260423
大小 2.08KB
更新时间 2026-04-26
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