This is a preparatory patch that renames the 'local' and 'local_length'
members of the nxt_unit_request_t structure to 'local_addr' and
'local_addr_length' in preparation for the adding of 'local_port' and
'local_port_length' members.
Suggested-by: Zhidao HONG <z.hong@f5.com>
Signed-off-by: Andrew Clayton <a.clayton@nginx.com>
The __call__ method can be native and not be a PyFunction type. A type check
is thus required before accessing op_code and other fields.
Reproduced on Ubuntu 21.04, Python 3.9.4 and Falcon framework: here, the
App.__call__ method is compiled with Cython, so accessing op_code->co_flags is
invalid; accidentally, the COROUTINE bit is set which forces the Python module
into the ASGI mode.
The workaround is explicit protocol specification.
Note: it is impossible to specify the legacy mode for ASGI.
Unit's ASGI implementation creates a new event loop to run an application for
each thread since 542b5b8c0647. This may cause unexpected exceptions or
strange bugs if asyncio synchronisation primitives are initialised before the
application starts (e.g. globally).
Although the approach with a new event loop for the main thread is consistent
and helps to prepare the application to run in multiple threads, it can be a
source of pain for people who just want to run single-threaded ASGI
applications in Unit.
This is related to #560 issue on GitHub.
This partially reverts the optimisation introduced in 1d84b9e4b459 to avoid an
unpredictable block in nxt_unit_process_port_msg(). Under high load, this
function may never return control to its caller, and the external event loop
(in Node.js and Python asyncio) won't be able to process other scheduled
events.
To reproduce the issue, two request processing types are needed: 'fast' and
'furious'. The 'fast' one simply returns a small response, while the 'furious'
schedules asynchronous calls to external resources. Thus, if Unit is subjected
to a large amount of 'fast' requests, the 'furious' request processing freezes
until the high load ends.
The issue was found by Wu Jian Ping (@wujjpp) during Node.js stream
implementation discussion and relates to PR #502 on GitHub.
