Because we're storing 25,000+ message content objects in memcached on
server restart, we were sometimes exceeding the 64MB cap even during
the restart process. 256MB should be safely large enough to not have
the issue but not so large as to seriously consume resources on our
app frontends (which currently have 7GB of RAM).
(imported from commit 1a64319e50c9dadf0bc65e2e4dbf08f4cc1b9c38)
Also improve display of times passed -- we now use display short times
in milliseconds for easier reading.
(imported from commit 08e1e7e6acbef48453080864946f7602a3395e7c)
Previous we had around 4 copies of the logic for deciding whether we
should publish data via a SimpleQueueClient queue, a
TornadoQueueClient queue, or to directly handle the operation, which
resulted in their getting out of sync and buggy (see e.g. the previous
commit).
We need to add a lock around adding things to the queue to work around
a bug with pika's BlockingConnection.
I should note that the previous logic in some places had a bunch of
tests of the form "elif settings.TEST_SUITE" for doing the work that
would have been done by the queue processor directly; these should
have just been "else" clauses -- since we generally want that code to
run on development environments whether or not the test suite is
currently running.
(imported from commit 16bdbed4fff04b1bda6fde3b16bee7359917720b)
Previously we had several files which initialized SimpleQueueClient()
for sending items to the UserActivity queue, even though those code
paths aren't used outside Tornado. This resulted in slower Tornado
startup times.
(imported from commit ad97021ec18d3927233744037c548c22db33c321)
The actual database query that we use to fill the UserMessage cache
only takes a few hundred milliseconds to run; however the process of
iterating through the results would take 3-5 seconds because the
Django ORM is not very efficient for small tables where we're only
interested in the integer values in a couple columns.
So we can save most of that Tornado startup time by just doing this
one query manually; I left the original query next to it in a comment
so it is easy to keep it all up to date as we change our product.
(imported from commit ac4675bcdda5d812ebfbe211450c85ee2787ee66)
This only does something if DEBUG=False, but it's now required that
you set this on Django 1.5 or the server will silently serve up 500s
for every request (not the best failure mode).
(imported from commit fa226c644770c468d73143c8a49d5d29d282df27)
See http://bugs.python.org/issue5876 for an explanation for why this
is needed -- basically __repr__() needs to return a string, not a
unicode object in Python 2.
This causes problems on Django 1.5 because the more expressive
exception code in model.objects.get() will crash with a __repr__()
containing non-ascii unicode characters.
(imported from commit f44085e67d9d14629b821a29bbf65738f1794d6c)
Checked using the following (relevant for rebasing):
git grep url templates/ | grep -v "'django" | grep -v "'zephyr"
This appears to not have a good backwards-compatability story (well,
there is one involving a %load from the future, but it seems to not
work).
(imported from commit d740831658aa23cadbbb82082ac6a3738d449a1d)
We made this change for performance reasons that don't exist now that
we only render a small portion of your messages, and it causes a
distracting flicker when you scroll through messages slowly.
(imported from commit 33379320f6b90d93ec8beac17323b287f8bb2485)
Those examples make the tutorial feel much longer, and they aren't
relevant to people who aren't using Humbug to talk about code.
(imported from commit c3213775d26cf533b3d9bde691de08a53d427939)
It's not so black and white in a world where we auto-scroll at the
bottom, and we've observed that people trying Humbug over-focus on it.
(imported from commit 2057643f179d5d1666cb33438c5a513977197b37)
This is a lot cleaner, and also cuts about 50-70 ms off of page load time in
local testing (with lots of users), presumably because there's less work to be
done by the slow Django template engine.
(imported from commit 257b700238ee5d9a4ae00a53011ed5bce018124c)
Zev Benjamin
Tim Abbott
Leo Franchi
Jessica McKellar
Keegan McAllister
Waseem Daher