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- <h1 id="log-contexts"><a class="header" href="#log-contexts">Log Contexts</a></h1>
- <p>To help track the processing of individual requests, synapse uses a
- '<code>log context</code>' to track which request it is handling at any given
- moment. This is done via a thread-local variable; a <code>logging.Filter</code> is
- then used to fish the information back out of the thread-local variable
- and add it to each log record.</p>
- <p>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.</p>
- <p>The <code>synapse.logging.context</code> module provides facilities for managing
- the current log context (as well as providing the <code>LoggingContextFilter</code>
- class).</p>
- <p>Asynchronous functions make the whole thing complicated, so this document describes
- how it all works, and how to write code which follows the rules.</p>
- <p>In this document, "awaitable" refers to any object which can be <code>await</code>ed. In the context of
- Synapse, that normally means either a coroutine or a Twisted
- <a href="https://twistedmatrix.com/documents/current/api/twisted.internet.defer.Deferred.html"><code>Deferred</code></a>.</p>
- <h2 id="logcontexts-without-asynchronous-code"><a class="header" href="#logcontexts-without-asynchronous-code">Logcontexts without asynchronous code</a></h2>
- <p>In the absence of any asynchronous 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:</p>
- <pre><code class="language-python">from synapse.logging import context # omitted from future snippets
- def handle_request(request_id):
- request_context = context.LoggingContext()
- calling_context = context.set_current_context(request_context)
- try:
- request_context.request = request_id
- do_request_handling()
- logger.debug("finished")
- finally:
- context.set_current_context(calling_context)
- def do_request_handling():
- logger.debug("phew") # this will be logged against request_id
- </code></pre>
- <p>LoggingContext implements the context management methods, so the above
- can be written much more succinctly as:</p>
- <pre><code class="language-python">def handle_request(request_id):
- with context.LoggingContext() as request_context:
- request_context.request = request_id
- do_request_handling()
- logger.debug("finished")
- def do_request_handling():
- logger.debug("phew")
- </code></pre>
- <h2 id="using-logcontexts-with-awaitables"><a class="header" href="#using-logcontexts-with-awaitables">Using logcontexts with awaitables</a></h2>
- <p>Awaitables 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.</p>
- <p>Consider the example above, where <code>do_request_handling</code> needs to do some
- blocking operation, and returns an awaitable:</p>
- <pre><code class="language-python">async def handle_request(request_id):
- with context.LoggingContext() as request_context:
- request_context.request = request_id
- await do_request_handling()
- logger.debug("finished")
- </code></pre>
- <p>In the above flow:</p>
- <ul>
- <li>The logcontext is set</li>
- <li><code>do_request_handling</code> is called, and returns an awaitable</li>
- <li><code>handle_request</code> awaits the awaitable</li>
- <li>Execution of <code>handle_request</code> is suspended</li>
- </ul>
- <p>So we have stopped processing the request (and will probably go on to
- start processing the next), without clearing the logcontext.</p>
- <p>To circumvent this problem, synapse code assumes that, wherever you have
- an awaitable, you will want to <code>await</code> it. To that end, whereever
- functions return awaitables, we adopt the following conventions:</p>
- <p><strong>Rules for functions returning awaitables:</strong></p>
- <blockquote>
- <ul>
- <li>If the awaitable is already complete, the function returns with the
- same logcontext it started with.</li>
- <li>If the awaitable is incomplete, the function clears the logcontext
- before returning; when the awaitable completes, it restores the
- logcontext before running any callbacks.</li>
- </ul>
- </blockquote>
- <p>That sounds complicated, but actually it means a lot of code (including
- the example above) "just works". There are two cases:</p>
- <ul>
- <li>
- <p>If <code>do_request_handling</code> returns a completed awaitable, then the
- logcontext will still be in place. In this case, execution will
- continue immediately after the <code>await</code>; the "finished" line will
- be logged against the right context, and the <code>with</code> block restores
- the original context before we return to the caller.</p>
- </li>
- <li>
- <p>If the returned awaitable is incomplete, <code>do_request_handling</code> clears
- the logcontext before returning. The logcontext is therefore clear
- when <code>handle_request</code> <code>await</code>s the awaitable.</p>
- <p>Once <code>do_request_handling</code>'s awaitable completes, it will reinstate
- the logcontext, before running the second half of <code>handle_request</code>,
- so again the "finished" line will be logged against the right context,
- and the <code>with</code> block restores the original context.</p>
- </li>
- </ul>
- <p>As an aside, it's worth noting that <code>handle_request</code> follows our rules</p>
- <ul>
- <li>though that only matters if the caller has its own logcontext which it
- cares about.</li>
- </ul>
- <p>The following sections describe pitfalls and helpful patterns when
- implementing these rules.</p>
- <h2 id="always-await-your-awaitables"><a class="header" href="#always-await-your-awaitables">Always await your awaitables</a></h2>
- <p>Whenever you get an awaitable back from a function, you should <code>await</code> on
- it as soon as possible. Do not pass go; do not do any logging; do not
- call any other functions.</p>
- <pre><code class="language-python">async def fun():
- logger.debug("starting")
- await do_some_stuff() # just like this
- coro = more_stuff()
- result = await coro # also fine, of course
- return result
- </code></pre>
- <p>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 <code>do_some_stuff</code> and <code>more_stuff</code> follow the rules above, then
- so will <code>fun</code>.</p>
- <p>It's all too easy to forget to <code>await</code>: for instance if we forgot that
- <code>do_some_stuff</code> returned an awaitable, 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 things will break, more obviously, if you forget to
- <code>await</code>, so this tends not to be a major problem in practice.)</p>
- <p>Of course sometimes you need to do something a bit fancier with your
- awaitable - not all code follows the linear A-then-B-then-C pattern.
- Notes on implementing more complex patterns are in later sections.</p>
- <h2 id="where-you-create-a-new-awaitable-make-it-follow-the-rules"><a class="header" href="#where-you-create-a-new-awaitable-make-it-follow-the-rules">Where you create a new awaitable, make it follow the rules</a></h2>
- <p>Most of the time, an awaitable comes from another synapse function.
- Sometimes, though, we need to make up a new awaitable, or we get an awaitable
- back from external code. We need to make it follow our rules.</p>
- <p>The easy way to do it is by using <code>context.make_deferred_yieldable</code>. Suppose we want to implement
- <code>sleep</code>, which returns a deferred which will run its callbacks after a
- given number of seconds. That might look like:</p>
- <pre><code class="language-python"># not a logcontext-rules-compliant function
- def get_sleep_deferred(seconds):
- d = defer.Deferred()
- reactor.callLater(seconds, d.callback, None)
- return d
- </code></pre>
- <p>That doesn't follow the rules, but we can fix it by calling it through
- <code>context.make_deferred_yieldable</code>:</p>
- <pre><code class="language-python">async def sleep(seconds):
- return await context.make_deferred_yieldable(get_sleep_deferred(seconds))
- </code></pre>
- <h2 id="fire-and-forget"><a class="header" href="#fire-and-forget">Fire-and-forget</a></h2>
- <p>Sometimes you want to fire off a chain of execution, but not wait for
- its result. That might look a bit like this:</p>
- <pre><code class="language-python">async def do_request_handling():
- await foreground_operation()
- # *don't* do this
- background_operation()
- logger.debug("Request handling complete")
- async def background_operation():
- await first_background_step()
- logger.debug("Completed first step")
- await second_background_step()
- logger.debug("Completed second step")
- </code></pre>
- <p>The above code does a couple of steps in the background after
- <code>do_request_handling</code> has finished. The log lines are still logged
- against the <code>request_context</code> logcontext, which may or may not be
- desirable. There are two big problems with the above, however. The first
- problem is that, if <code>background_operation</code> returns an incomplete
- awaitable, it will expect its caller to <code>await</code> immediately, so will have
- cleared the logcontext. In this example, that means that 'Request
- handling complete' will be logged without any context.</p>
- <p>The second problem, which is potentially even worse, is that when the
- awaitable returned by <code>background_operation</code> completes, it will restore
- the original logcontext. There is nothing waiting on that awaitable, so
- the logcontext will leak into the reactor and possibly get attached to
- some arbitrary future operation.</p>
- <p>There are two potential solutions to this.</p>
- <p>One option is to surround the call to <code>background_operation</code> with a
- <code>PreserveLoggingContext</code> call. That will reset the logcontext before
- starting <code>background_operation</code> (so the context restored when the
- deferred completes will be the empty logcontext), and will restore the
- current logcontext before continuing the foreground process:</p>
- <pre><code class="language-python">async def do_request_handling():
- await 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")
- </code></pre>
- <p>Obviously that option means that the operations done in
- <code>background_operation</code> would be not be logged against a logcontext
- (though that might be fixed by setting a different logcontext via a
- <code>with LoggingContext(...)</code> in <code>background_operation</code>).</p>
- <p>The second option is to use <code>context.run_in_background</code>, which wraps a
- function so that it doesn't reset the logcontext even when it returns
- an incomplete awaitable, and adds a callback to the returned awaitable to
- reset the logcontext. In other words, it turns a function that follows
- the Synapse rules about logcontexts and awaitables 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:</p>
- <pre><code class="language-python">async def do_request_handling():
- await foreground_operation()
- context.run_in_background(background_operation)
- # this will now be logged against the request context
- logger.debug("Request handling complete")
- </code></pre>
- <h2 id="passing-synapse-deferreds-into-third-party-functions"><a class="header" href="#passing-synapse-deferreds-into-third-party-functions">Passing synapse deferreds into third-party functions</a></h2>
- <p>A typical example of this is where we want to collect together two or
- more awaitables via <code>defer.gatherResults</code>:</p>
- <pre><code class="language-python">a1 = operation1()
- a2 = operation2()
- a3 = defer.gatherResults([a1, a2])
- </code></pre>
- <p>This is really a variation of the fire-and-forget problem above, in that
- we are firing off <code>a1</code> and <code>a2</code> without awaiting on them. The difference
- is that we now have third-party code attached to their callbacks. Anyway
- either technique given in the <a href="#fire-and-forget">Fire-and-forget</a>
- section will work.</p>
- <p>Of course, the new awaitable returned by <code>gather</code> needs to be
- wrapped in order to make it follow the logcontext rules before we can
- yield it, as described in <a href="#where-you-create-a-new-awaitable-make-it-follow-the-rules">Where you create a new awaitable, make it
- follow the
- rules</a>.</p>
- <p>So, option one: reset the logcontext before starting the operations to
- be gathered:</p>
- <pre><code class="language-python">async def do_request_handling():
- with PreserveLoggingContext():
- a1 = operation1()
- a2 = operation2()
- result = await defer.gatherResults([a1, a2])
- </code></pre>
- <p>In this case particularly, though, option two, of using
- <code>context.run_in_background</code> almost certainly makes more sense, so that
- <code>operation1</code> and <code>operation2</code> are both logged against the original
- logcontext. This looks like:</p>
- <pre><code class="language-python">async def do_request_handling():
- a1 = context.run_in_background(operation1)
- a2 = context.run_in_background(operation2)
- result = await make_deferred_yieldable(defer.gatherResults([a1, a2]))
- </code></pre>
- <h2 id="a-note-on-garbage-collection-of-awaitable-chains"><a class="header" href="#a-note-on-garbage-collection-of-awaitable-chains">A note on garbage-collection of awaitable chains</a></h2>
- <p>It turns out that our logcontext rules do not play nicely with awaitable
- chains which get orphaned and garbage-collected.</p>
- <p>Imagine we have some code that looks like this:</p>
- <pre><code class="language-python">listener_queue = []
- def on_something_interesting():
- for d in listener_queue:
- d.callback("foo")
- async def await_something_interesting():
- new_awaitable = defer.Deferred()
- listener_queue.append(new_awaitable)
- with PreserveLoggingContext():
- await new_awaitable
- </code></pre>
- <p>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.)</p>
- <p>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 <em>even more</em> interesting happens.)</p>
- <p>Secondly, let's suppose that we decide that the interesting thing is
- never going to happen, and we reset the listener queue:</p>
- <pre><code class="language-python">def reset_listener_queue():
- listener_queue.clear()
- </code></pre>
- <p>So, both ends of the awaitable chain have now dropped their references,
- and the awaitable chain is now orphaned, and will be garbage-collected at
- some point. Note that <code>await_something_interesting</code> is a coroutine,
- which Python implements as a generator function. When Python
- garbage-collects generator functions, it gives them a chance to
- clean up by making the <code>await</code> (or <code>yield</code>) raise a <code>GeneratorExit</code>
- exception. In our case, that means that the <code>__exit__</code> handler of
- <code>PreserveLoggingContext</code> will carefully restore the request context, but
- there is now nothing waiting for its return, so the request context is
- never cleared.</p>
- <p>To reiterate, this problem only arises when <em>both</em> ends of a awaitable
- chain are dropped. Dropping the the reference to an awaitable you're
- supposed to be awaiting is 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.</p>
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