synapse/docs/log_contexts.rst

499 lines
18 KiB
ReStructuredText
Raw Permalink Normal View History

Log Contexts
2017-03-17 18:11:26 +03:00
============
2017-03-17 18:11:26 +03:00
.. contents::
2017-03-17 18:11:26 +03:00
To help track the processing of individual requests, synapse uses a
'log context' to track which request it is handling at any given moment. This
is done via a thread-local variable; a ``logging.Filter`` is then used to fish
the information back out of the thread-local variable and add it to each log
record.
Logcontexts are also used for CPU and database accounting, so that we can track
which requests were responsible for high CPU use or database activity.
The ``synapse.logging.context`` module provides a facilities for managing the
2017-03-17 18:11:26 +03:00
current log context (as well as providing the ``LoggingContextFilter`` class).
Deferreds make the whole thing complicated, so this document describes how it
all works, and how to write code which follows the rules.
Logcontexts without Deferreds
-----------------------------
In the absence of any Deferred voodoo, things are simple enough. As with any
code of this nature, the rule is that our function should leave things as it
found them:
.. code:: python
from synapse.logging import context # omitted from future snippets
2017-03-17 18:11:26 +03:00
def handle_request(request_id):
request_context = context.LoggingContext()
2017-03-17 18:11:26 +03:00
calling_context = context.LoggingContext.current_context()
context.LoggingContext.set_current_context(request_context)
2017-03-17 18:11:26 +03:00
try:
request_context.request = request_id
do_request_handling()
logger.debug("finished")
finally:
context.LoggingContext.set_current_context(calling_context)
2017-03-17 18:11:26 +03:00
def do_request_handling():
logger.debug("phew") # this will be logged against request_id
LoggingContext implements the context management methods, so the above can be
written much more succinctly as:
.. code:: python
def handle_request(request_id):
with context.LoggingContext() as request_context:
2017-03-17 18:11:26 +03:00
request_context.request = request_id
do_request_handling()
logger.debug("finished")
def do_request_handling():
logger.debug("phew")
Using logcontexts with Deferreds
--------------------------------
Deferreds — and in particular, ``defer.inlineCallbacks`` — break
the linear flow of code so that there is no longer a single entry point where
we should set the logcontext and a single exit point where we should remove it.
Consider the example above, where ``do_request_handling`` needs to do some
blocking operation, and returns a deferred:
.. code:: python
@defer.inlineCallbacks
def handle_request(request_id):
with context.LoggingContext() as request_context:
2017-03-17 18:11:26 +03:00
request_context.request = request_id
yield do_request_handling()
logger.debug("finished")
In the above flow:
* The logcontext is set
* ``do_request_handling`` is called, and returns a deferred
* ``handle_request`` yields the deferred
* The ``inlineCallbacks`` wrapper of ``handle_request`` returns a deferred
So we have stopped processing the request (and will probably go on to start
processing the next), without clearing the logcontext.
To circumvent this problem, synapse code assumes that, wherever you have a
deferred, you will want to yield on it. To that end, whereever functions return
a deferred, we adopt the following conventions:
**Rules for functions returning deferreds:**
2017-03-17 18:11:26 +03:00
* If the deferred is already complete, the function returns with the same
logcontext it started with.
* If the deferred is incomplete, the function clears the logcontext before
returning; when the deferred completes, it restores the logcontext before
running any callbacks.
2017-03-17 18:11:26 +03:00
That sounds complicated, but actually it means a lot of code (including the
example above) "just works". There are two cases:
* If ``do_request_handling`` returns a completed deferred, then the logcontext
will still be in place. In this case, execution will continue immediately
after the ``yield``; the "finished" line will be logged against the right
context, and the ``with`` block restores the original context before we
return to the caller.
* If the returned deferred is incomplete, ``do_request_handling`` clears the
logcontext before returning. The logcontext is therefore clear when
``handle_request`` yields the deferred. At that point, the ``inlineCallbacks``
wrapper adds a callback to the deferred, and returns another (incomplete)
deferred to the caller, and it is safe to begin processing the next request.
Once ``do_request_handling``'s deferred completes, it will reinstate the
logcontext, before running the callback added by the ``inlineCallbacks``
wrapper. That callback runs the second half of ``handle_request``, so again
the "finished" line will be logged against the right
context, and the ``with`` block restores the original context.
As an aside, it's worth noting that ``handle_request`` follows our rules -
though that only matters if the caller has its own logcontext which it cares
about.
The following sections describe pitfalls and helpful patterns when implementing
these rules.
Always yield your deferreds
---------------------------
Whenever you get a deferred back from a function, you should ``yield`` on it
as soon as possible. (Returning it directly to your caller is ok too, if you're
not doing ``inlineCallbacks``.) Do not pass go; do not do any logging; do not
call any other functions.
.. code:: python
@defer.inlineCallbacks
def fun():
logger.debug("starting")
yield do_some_stuff() # just like this
d = more_stuff()
result = yield d # also fine, of course
return result
2017-03-17 18:11:26 +03:00
def nonInlineCallbacksFun():
logger.debug("just a wrapper really")
return do_some_stuff() # this is ok too - the caller will yield on
# it anyway.
Provided this pattern is followed all the way back up to the callchain to where
the logcontext was set, this will make things work out ok: provided
``do_some_stuff`` and ``more_stuff`` follow the rules above, then so will
``fun`` (as wrapped by ``inlineCallbacks``) and ``nonInlineCallbacksFun``.
It's all too easy to forget to ``yield``: for instance if we forgot that
``do_some_stuff`` returned a deferred, we might plough on regardless. This
leads to a mess; it will probably work itself out eventually, but not before
a load of stuff has been logged against the wrong context. (Normally, other
2017-03-17 18:11:26 +03:00
things will break, more obviously, if you forget to ``yield``, so this tends
not to be a major problem in practice.)
Of course sometimes you need to do something a bit fancier with your Deferreds
- not all code follows the linear A-then-B-then-C pattern. Notes on
implementing more complex patterns are in later sections.
Where you create a new Deferred, make it follow the rules
---------------------------------------------------------
Most of the time, a Deferred comes from another synapse function. Sometimes,
though, we need to make up a new Deferred, or we get a Deferred back from
external code. We need to make it follow our rules.
The easy way to do it is with a combination of ``defer.inlineCallbacks``, and
``context.PreserveLoggingContext``. Suppose we want to implement ``sleep``,
2017-03-17 18:11:26 +03:00
which returns a deferred which will run its callbacks after a given number of
seconds. That might look like:
.. code:: python
# not a logcontext-rules-compliant function
def get_sleep_deferred(seconds):
d = defer.Deferred()
reactor.callLater(seconds, d.callback, None)
return d
That doesn't follow the rules, but we can fix it by wrapping it with
``PreserveLoggingContext`` and ``yield`` ing on it:
.. code:: python
@defer.inlineCallbacks
def sleep(seconds):
with PreserveLoggingContext():
yield get_sleep_deferred(seconds)
This technique works equally for external functions which return deferreds,
or deferreds we have made ourselves.
You can also use ``context.make_deferred_yieldable``, which just does the
boilerplate for you, so the above could be written:
.. code:: python
def sleep(seconds):
return context.make_deferred_yieldable(get_sleep_deferred(seconds))
2017-03-17 18:11:26 +03:00
Fire-and-forget
---------------
Sometimes you want to fire off a chain of execution, but not wait for its
result. That might look a bit like this:
.. code:: python
@defer.inlineCallbacks
def do_request_handling():
yield foreground_operation()
# *don't* do this
background_operation()
logger.debug("Request handling complete")
@defer.inlineCallbacks
def background_operation():
yield first_background_step()
logger.debug("Completed first step")
yield second_background_step()
logger.debug("Completed second step")
The above code does a couple of steps in the background after
``do_request_handling`` has finished. The log lines are still logged against
the ``request_context`` logcontext, which may or may not be desirable. There
are two big problems with the above, however. The first problem is that, if
``background_operation`` returns an incomplete Deferred, it will expect its
caller to ``yield`` immediately, so will have cleared the logcontext. In this
example, that means that 'Request handling complete' will be logged without any
context.
The second problem, which is potentially even worse, is that when the Deferred
returned by ``background_operation`` completes, it will restore the original
logcontext. There is nothing waiting on that Deferred, so the logcontext will
leak into the reactor and possibly get attached to some arbitrary future
operation.
There are two potential solutions to this.
One option is to surround the call to ``background_operation`` with a
``PreserveLoggingContext`` call. That will reset the logcontext before
starting ``background_operation`` (so the context restored when the deferred
completes will be the empty logcontext), and will restore the current
logcontext before continuing the foreground process:
.. code:: python
@defer.inlineCallbacks
def do_request_handling():
yield foreground_operation()
# start background_operation off in the empty logcontext, to
# avoid leaking the current context into the reactor.
with PreserveLoggingContext():
background_operation()
# this will now be logged against the request context
logger.debug("Request handling complete")
Obviously that option means that the operations done in
``background_operation`` would be not be logged against a logcontext (though
that might be fixed by setting a different logcontext via a ``with
LoggingContext(...)`` in ``background_operation``).
The second option is to use ``context.run_in_background``, which wraps a
function so that it doesn't reset the logcontext even when it returns an
incomplete deferred, and adds a callback to the returned deferred to reset the
2017-03-17 18:11:26 +03:00
logcontext. In other words, it turns a function that follows the Synapse rules
about logcontexts and Deferreds into one which behaves more like an external
function — the opposite operation to that described in the previous section.
It can be used like this:
.. code:: python
@defer.inlineCallbacks
def do_request_handling():
yield foreground_operation()
context.run_in_background(background_operation)
2017-03-17 18:11:26 +03:00
# this will now be logged against the request context
logger.debug("Request handling complete")
Passing synapse deferreds into third-party functions
----------------------------------------------------
A typical example of this is where we want to collect together two or more
deferred via ``defer.gatherResults``:
.. code:: python
d1 = operation1()
d2 = operation2()
d3 = defer.gatherResults([d1, d2])
This is really a variation of the fire-and-forget problem above, in that we are
firing off ``d1`` and ``d2`` without yielding on them. The difference
is that we now have third-party code attached to their callbacks. Anyway either
technique given in the `Fire-and-forget`_ section will work.
Of course, the new Deferred returned by ``gatherResults`` needs to be wrapped
in order to make it follow the logcontext rules before we can yield it, as
described in `Where you create a new Deferred, make it follow the rules`_.
So, option one: reset the logcontext before starting the operations to be
gathered:
.. code:: python
@defer.inlineCallbacks
def do_request_handling():
with PreserveLoggingContext():
d1 = operation1()
d2 = operation2()
result = yield defer.gatherResults([d1, d2])
In this case particularly, though, option two, of using
``context.preserve_fn`` almost certainly makes more sense, so that
2017-03-17 18:11:26 +03:00
``operation1`` and ``operation2`` are both logged against the original
logcontext. This looks like:
.. code:: python
@defer.inlineCallbacks
def do_request_handling():
d1 = context.preserve_fn(operation1)()
d2 = context.preserve_fn(operation2)()
2017-03-17 18:11:26 +03:00
with PreserveLoggingContext():
result = yield defer.gatherResults([d1, d2])
Was all this really necessary?
------------------------------
The conventions used work fine for a linear flow where everything happens in
series via ``defer.inlineCallbacks`` and ``yield``, but are certainly tricky to
follow for any more exotic flows. It's hard not to wonder if we could have done
something else.
We're not going to rewrite Synapse now, so the following is entirely of
2017-03-19 01:47:37 +03:00
academic interest, but I'd like to record some thoughts on an alternative
2017-03-17 18:11:26 +03:00
approach.
I briefly prototyped some code following an alternative set of rules. I think
it would work, but I certainly didn't get as far as thinking how it would
interact with concepts as complicated as the cache descriptors.
My alternative rules were:
* functions always preserve the logcontext of their caller, whether or not they
are returning a Deferred.
* Deferreds returned by synapse functions run their callbacks in the same
context as the function was orignally called in.
The main point of this scheme is that everywhere that sets the logcontext is
responsible for clearing it before returning control to the reactor.
So, for example, if you were the function which started a ``with
LoggingContext`` block, you wouldn't ``yield`` within it — instead you'd start
off the background process, and then leave the ``with`` block to wait for it:
.. code:: python
def handle_request(request_id):
with context.LoggingContext() as request_context:
2017-03-17 18:11:26 +03:00
request_context.request = request_id
d = do_request_handling()
def cb(r):
logger.debug("finished")
d.addCallback(cb)
return d
(in general, mixing ``with LoggingContext`` blocks and
``defer.inlineCallbacks`` in the same function leads to slighly
counter-intuitive code, under this scheme).
Because we leave the original ``with`` block as soon as the Deferred is
returned (as opposed to waiting for it to be resolved, as we do today), the
logcontext is cleared before control passes back to the reactor; so if there is
some code within ``do_request_handling`` which needs to wait for a Deferred to
complete, there is no need for it to worry about clearing the logcontext before
doing so:
.. code:: python
def handle_request():
r = do_some_stuff()
r.addCallback(do_some_more_stuff)
return r
— and provided ``do_some_stuff`` follows the rules of returning a Deferred which
runs its callbacks in the original logcontext, all is happy.
The business of a Deferred which runs its callbacks in the original logcontext
isn't hard to achieve — we have it today, in the shape of
``context._PreservingContextDeferred``:
2017-03-17 18:11:26 +03:00
.. code:: python
def do_some_stuff():
deferred = do_some_io()
pcd = _PreservingContextDeferred(LoggingContext.current_context())
deferred.chainDeferred(pcd)
return pcd
It turns out that, thanks to the way that Deferreds chain together, we
automatically get the property of a context-preserving deferred with
``defer.inlineCallbacks``, provided the final Defered the function ``yields``
on has that property. So we can just write:
.. code:: python
@defer.inlineCallbacks
def handle_request():
yield do_some_stuff()
yield do_some_more_stuff()
To conclude: I think this scheme would have worked equally well, with less
danger of messing it up, and probably made some more esoteric code easier to
write. But again — changing the conventions of the entire Synapse codebase is
not a sensible option for the marginal improvement offered.
A note on garbage-collection of Deferred chains
-----------------------------------------------
It turns out that our logcontext rules do not play nicely with Deferred
chains which get orphaned and garbage-collected.
Imagine we have some code that looks like this:
.. code:: python
listener_queue = []
def on_something_interesting():
for d in listener_queue:
d.callback("foo")
@defer.inlineCallbacks
def await_something_interesting():
new_deferred = defer.Deferred()
listener_queue.append(new_deferred)
with PreserveLoggingContext():
yield new_deferred
Obviously, the idea here is that we have a bunch of things which are waiting
for an event. (It's just an example of the problem here, but a relatively
common one.)
Now let's imagine two further things happen. First of all, whatever was
waiting for the interesting thing goes away. (Perhaps the request times out,
or something *even more* interesting happens.)
Secondly, let's suppose that we decide that the interesting thing is never
going to happen, and we reset the listener queue:
.. code:: python
def reset_listener_queue():
listener_queue.clear()
So, both ends of the deferred chain have now dropped their references, and the
deferred chain is now orphaned, and will be garbage-collected at some point.
Note that ``await_something_interesting`` is a generator function, and when
Python garbage-collects generator functions, it gives them a chance to clean
up by making the ``yield`` raise a ``GeneratorExit`` exception. In our case,
that means that the ``__exit__`` handler of ``PreserveLoggingContext`` will
carefully restore the request context, but there is now nothing waiting for
its return, so the request context is never cleared.
To reiterate, this problem only arises when *both* ends of a deferred chain
are dropped. Dropping the the reference to a deferred you're supposed to be
calling is probably bad practice, so this doesn't actually happen too much.
Unfortunately, when it does happen, it will lead to leaked logcontexts which
are incredibly hard to track down.