The solution was that Mitogen's loader should emulate the behaviour of
ansible.executor.module_common, which restricts dependency scanning to
the ansible.module_utils namespace.
Using the same test as in 7af97c0365,
transmitted wire bytes drops from 135,531 to 133,071 (-1.81%), while
received drops from 21,073 to 14,775 (-30%).
Combined, both changes shave 13,914 bytes (-8.6%) off aggregate
bandwidth usage.
Make it configurable as compression hurts in some scenarios.
For the 52 submodules of ansible.modules.system, this produced a 1602
byte pkg_present list. After stripping it becomes 406 bytes, and the
entire LOAD_MODULE size drops from 1988 bytes to 792 bytes (-60%).
For the 68 submodules of ansible.module_utils, 1902 bytes pkg_present
becomes 474 bytes (-75%), and LOAD_MODULE size drops from 2867 bytes to
1439 bytes (-49%).
In a simple test running Ansible's "setup" module followed by its "apt"
module, wire bytes sent drops from 140,357 to 135,531 (-3.4%).
It looks ugly as sin, but this nets about a 20% drop in user CPU time,
and close to 15% increase in throughput.
The average log call is around 10 opcodes, prefixing with '_v and' costs
an extra 2, but both are simple operations, and the remaining 10 are
skipped entirely when _v or _vv are False.
Turns out it is far too easy to burn through available file descriptors,
so try something else: self-pipes are per thread, and only temporarily
associated with a Lack that wishes to sleep.
Reduce pointless locking by giving Latch its own queue, and removing
Queue.Queue() use in some places.
Temporarily undo merging of of Waker and Latch, let's do this one step
at a time.
On Python 2.x, operations on pthread objects with a timeout set actually
cause internal polling. When polling fails to yield a positive result,
it quickly backs off to a 50ms loop, which results in a huge amount of
latency throughout.
Instead, give up using Queue.Queue.get(timeout=...) and replace it with
the UNIX self-pipe trick. Knocks another 45% off my.yml in the Ansible
examples directory against a local VM.
This has the potential to burn a *lot* of file descriptors, but hell,
it's not the 1940s any more, RAM is all but infinite. I can live with
that.
This gets things down to around 75ms per playbook step, still hunting
for additional sources of latency.
David Wilson