Ben Leembruggen bcb13b1e74 Fix _handle_stream_ended to set _body_complete in async HTTP/2 handler
_handle_stream_ended() in async_connection.py (used by the ASGI worker)
did not set stream._body_complete = True or signal stream._body_event.
This caused the receive() closure in protocol.py to never see the body
as complete via the streaming path, so on the next call the fast path
re-read the entire body from BytesIO, doubling it.

The sync handler in connection.py already had a partial fix from #3559
but was also missing _body_event signalling, which is needed to unblock
any pending read_body_chunk() await.

Fixes https://github.com/benoitc/gunicorn/discussions/3567
2026-04-01 11:53:06 +11:00
2026-02-06 08:21:18 +01:00
2026-01-23 01:20:03 +01:00
2026-02-06 08:21:18 +01:00
2026-01-27 09:46:42 +01:00
2026-02-06 08:21:18 +01:00
2026-03-24 23:21:23 +01:00

Gunicorn

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Gunicorn 'Green Unicorn' is a Python WSGI HTTP Server for UNIX. It's a pre-fork worker model ported from Ruby's Unicorn project. The Gunicorn server is broadly compatible with various web frameworks, simply implemented, light on server resource usage, and fairly speedy.

New in v25: Per-app worker allocation for dirty arbiters, HTTP/2 support (beta)!

Quick Start

pip install gunicorn
gunicorn myapp:app --workers 4

For ASGI applications (FastAPI, Starlette):

gunicorn myapp:app --worker-class asgi

Features

  • WSGI support for Django, Flask, Pyramid, and any WSGI framework
  • ASGI support for FastAPI, Starlette, Quart
  • HTTP/2 support (beta) with multiplexed streams
  • Dirty Arbiters (beta) for heavy workloads (ML models, long-running tasks)
  • uWSGI binary protocol for nginx integration
  • Multiple worker types: sync, gthread, gevent, eventlet, asgi
  • Graceful worker process management
  • Compatible with Python 3.9+

Documentation

Full documentation at https://gunicorn.org

Community

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License

Gunicorn is released under the MIT License. See the LICENSE file for details.

Description
gunicorn 'Green Unicorn' is a WSGI HTTP Server for UNIX, fast clients and sleepy applications.
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