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Bug: Redis connection pool exhaustion on /downloads/ endpoint under high concurrency

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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

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

bug
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
  1. Access https://www.python.org/downloads/ during a high-traffic event (e.g., new Python release announcement)
  2. Monitor response times and Redis connection metrics via application monitoring
  3. 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
Python
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平均合并
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