Appending to bytes in a loop leads to a quadratic slowdown since
Python doesn’t optimize this for bytes like it does for str.
Signed-off-by: Anders Kaseorg <anders@zulip.com>
Appending to bytes in a loop leads to a quadratic slowdown since
Python doesn’t optimize this for bytes like it does for str.
Signed-off-by: Anders Kaseorg <anders@zulip.com>
The homedir of a user cannot be changed if any processes are running
as them, so having it change over time as upgrades happen will break
puppet application, as the old grafana process under supervisor will
effectively lock changes to the user's homedir.
Unfortunately, that means that this change will thus fail to
puppet-apply unless `supervisorctl stop grafana` is run first, but
there's no way around that.
In the event that extracting doesn't produce the binary we expected it
to, all this will do is create an _empty_ file where we expect the
binary to be. This will likely muddle debugging.
Since the only reason the resourfce was made in the first place was to
make dependencies clear, switch to depending on the External_Dep
itself, when such a dependency is needed.
We handle "Theme settings" subsection separately in
get_subsection_property_elements as it contains unique
radio-button structure for emojiset setting.
This should have been fixed while reorganizing the section
to have color scheme and emoji related settings under same
subsection in adb612a0b4.
Fixes#20644.
While accepting an invitation from a user, there was no condition in
place to check if the user sending the invitation was now
now-deactivated.
Skip sending notifications about newly-joined users to users who are
now disabled.
Fixes#18569.
We don't have to go to the database to get the Recipient
fields for `user_profile.recipient`.
See also 85ed6f332a from a little
over a year ago--it's very similar.
The bug here probably didn't come up too much in
practice, but if we were adding a user to multiple
streams when they already had used all N available
colors, all the new streams would be assigned the same
color, since the size of used_colors would stay at N,
thwarting our little modulo-len hackery.
It's not a terrible bug, since users can obviously
customize their stream colors as they see fit.
Usually when we are adding a user to multiple streams,
the users are fairly new, and thus don't have many
existing streams, so I have never heard this bug
reported in the field.
Anyway, assigning the colors in bulk seems to make more
sense, and I added some tests.
For the situations where all the colors have already
been used, I didn't put a ton of thought into exactly
which repeated colors we want to choose; instead, I
just ensure they're different modulo 24. It's possible
that we should just have more than 24 canned colors, or
we should just assign the same default color every time
and let users change it themselves (once they've gone
beyond the 24, to be clear). Or maybe we can just do
something smarter here. I don't have enough time for a
deep dive on this issue.
Part of our codepath for subscribing users involves
fetching the users' existing subscriptions to make sure
we can do things like properly report to the clients
that the users were already subscribed. This codepath
used to be coupled to code that helped users maintain
unique stream colors.
Suppose you are creating a new stream, and you are
importing users from an older stream with 15k
subscribers, and each of your users is subscribed to
about 20 streams.
The prior code, instead of filtering on recipient_id,
would literally look at every subscription for every
user, which was kind of crazy if you didn't understand
the pick-stream-color complications.
Before this commit, we would fetch 300k rows with 15
columns each (granted, all but one of the columns are
bool/int). That's a total of 4.5 million tiny objects
that we had to glom into Django ORM objects and slice
and dice.
After this commit, we would fetch exactly zero rows
for the are-they-already-subscribed logic.
Yes, ZERO.
If we were to mistakenly try to re-add the same 15k
subscribers to the new stream (under the new code), we
will now fetch 15k Sub rows instead of 300k.
It is worth looking at the prior commit. We go through
great pains to ensure that users get new stream colors
when we invite them to a stream, and we still fetch a
bunch of data for that. Instead of 4.5 million cells,
it's more like 600k cells (2 columns per row), and it's
less than that insofar as some users may only
have 24 distinct colors among their many streams.
It's a lot of work.
This commit sets us up for the next commit, which will
save us a very expensive query.
If you are adding 15k users to a stream, and each user
has about 20 existing streams, then we need to retrieve
300k rows from the database to figure out which stream
colors they already have. We don't need all the extra
fields from Subscription, so now we get just the two
values we need for making a color map.
In the next commit we'll eliminate the other use case
for the big query, and I will explain in greater
depth how splitting out the color-picking code can
be a huge win. It is possible that some product decisions
could make this codepath easier. We could also do some
engineering specific to stream colors, such as caching
which colors users have already used.
This does cost us an extra round trip to the database.
This is a pure code refactor for readability.
Previously, we were relying on there being a side effect to
add_clean_reaction which was necessitated by the presence of an output
parameter, `message` (or more specifically `message.clean_reaction`).
Output parameters are confusing.
Hence, this commit changes to have a make_clean_reaction function that
returns a reaction.
Having the `wildcard_mentions_notify` setting turned on does
not necessarily mean that the user will receive notification
for that message. There is more nuance to this, as explained
in the updated comment.
We recently ran into a payload in production that didn't contain
an event type at all. A payload where we can't figure out the event
type is quite rare. Instead of letting these payloads run amok, we
should raise a more informative exception for such unusual payloads.
If we encounter too many of these, then we can choose to conduct a
deeper investigation on a case-by-case basis.
With some changes by Tim Abbott.
Given that these values are uuids, it's better to use UUIDField which is
meant for exactly that, rather than an arbitrary CharField.
This requires modifying some tests to use valid uuids.
We avoid repeating the same calculations over and
over again for the same stream.
This helps, but the real bottleneck in this function
is that send_event usually takes at least a millisecond,
and that adds up quickly if you're doing something
like subscribing 5k users to a new stream.
Steve Howell
Lauryn Menard
Biki-das
Tim Abbott
Julia Bichler
Anders Kaseorg
Alex Vandiver
Sahil Batra
parth
YashRE42
Abhijeet Prasad Bodas
Eeshan Garg
Mateusz Mandera