Bug: Redis connection pool exhaustion on /downloads/ endpoint under high concurrency
维护者通常 1 天内回复
还没有人认领这个 Issue。
评估
- 难度
- 4/5
- 预计耗时
- 3-5 天
- 新手友好度
- 38/100
- Issue 类型
- 缺陷
- 描述清晰度
- 需要澄清
- 活跃度
- 冷清
- 技术栈
- python, redis
- 领域
- backend, performance
调研方向
首先检查 gunicorn.conf、apps/downloads/views.py 和 config/settings/cache.py,然后使用应用程序的 Redis 连接指标和日志检查并发行为。确认 downloads 端点是否耗尽其连接池,并在 Redis 或 Celery 工作上发生阻塞。完成的标准是:突发流量不再导致报告中的资源耗尽、延迟或连接错误,并且在 Redis 承受压力时仍可获取缓存的统计信息。
由索引模型根据 Issue 内容生成。
描述
Describe the bug
Under high concurrency conditions, particularly during new Python release events, the /downloads/ endpoint may experience Redis connection pool exhaustion. The application is configured with gunicorn.conf setting workers = 2, which creates a bottleneck when combined with synchronous Redis operations in the downloads view.
This manifests as increased tail latency and potential redis.exceptions.ConnectionError entries in application logs during traffic spikes.
To Reproduce
- Access https://www.python.org/downloads/ during a high-traffic event (e.g., new Python release announcement)
- Monitor response times and Redis connection metrics via application monitoring
- Observe elevated error rates and latency under sustained concurrent requests
Expected behavior
- Connection pooling should gracefully handle burst traffic without exhaustion
- Stale-while-revalidate caching pattern should serve cached download statistics when Redis is under pressure
- Celery tasks triggered from download views should be truly asynchronous, not blocking Redis operations on the main request thread
URL to the issue
https://www.python.org/downloads/
Screenshots
N/A (requires production monitoring access: Datadog dashboards, Sentry error logs, or Redis connection pool metrics)
Browsers
Microsoft Edge
Operating System
Windows
Browser Version
N/A
Relevant log output
# Example of expected log entry during pool exhaustion (needs verification in production):
redis.exceptions.ConnectionError: Connection pool exhausted. Unable to acquire connection within timeout.
# Relevant files for investigation:
# - gunicorn.conf (workers = 2)
# - apps/downloads/views.py
# - config/settings/cache.py
Additional context
Recent PR #2764 added a sitetree cache purge command to the Makefile, indicating the team's awareness of caching best practices. Similar patterns should be applied to high-traffic endpoints like /downloads/. Django cache framework documentation recommends connection pooling for production deployments. The project's dependency modernization efforts (e.g., pygments bump in PR #2977) suggest the team is actively maintaining performance-critical components.
- 主要语言
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