In multi-upstream mode, we can't relay WHO/WHOIS messages for the
current user, because we can't decide which upstream server the
message should be relayed to.
In single-upstream server, we do know which upstream server to use,
so we can just blindly relay the message.
This allows users to send a self-WHO/WHOIS to check their cloak and
other information.
Otherwise running `make` didn't do anything on a non-clean state. Go
deals with changed files automatically, and there's no real need to
explicitly specify them.
Soju inserts 9 columns but only with 8 placeholders. This causes
channels not being saved properly and also logging errors like this:
downstream ...: failed to create or update channel ...: 8 values for 9 columns
Rename the "sql" directive to "db". Rename the "log" directive to
"log fs".
In the future, we'll maybe support more databases and more message
stores. Make it so it's easy to integrate these new festures to the
config file format.
Instead of ignoring detached channels wehn replaying backlog,
process them as usual and relay messages as BouncerServ NOTICEs
if necessary. Advance the delivery receipts as if the channel was
attached.
Closes: https://todo.sr.ht/~emersion/soju/98
This allows to have shorter and more future-proof IDs. This also
guarantees the IDs will only use reasonable ASCII characters (no
spaces), removing the need to encode them for PING/PONG tokens.
Previous soju versions were storing log without converting the channel
and nick names to their canonical lower-case representation. This could
result in two log directories for the same channel/nick.
This script fixes old log dirs.
TL;DR: supports for casemapping, now logs are saved in
casemapped/canonical/tolower form
(eg. in the #channel directory instead of #Channel... or something)
== What is casemapping? ==
see <https://modern.ircdocs.horse/#casemapping-parameter>
== Casemapping and multi-upstream ==
Since each upstream does not necessarily use the same casemapping, and
since casemappings cannot coexist [0],
1. soju must also update the database accordingly to upstreams'
casemapping, otherwise it will end up inconsistent,
2. soju must "normalize" entity names and expose only one casemapping
that is a subset of all supported casemappings (here, ascii).
[0] On some upstreams, "emersion[m]" and "emersion{m}" refer to the same
user (upstreams that advertise rfc1459 for example), while on others
(upstreams that advertise ascii) they don't.
Once upstream's casemapping is known (default to rfc1459), entity names
in map keys are made into casemapped form, for upstreamConn,
upstreamChannel and network.
downstreamConn advertises "CASEMAPPING=ascii", and always casemap map
keys with ascii.
Some functions require the caller to casemap their argument (to avoid
needless calls to casemapping functions).
== Message forwarding and casemapping ==
downstream message handling (joins and parts basically):
When relaying entity names from downstreams to upstreams, soju uses the
upstream casemapping, in order to not get in the way of the user. This
does not brings any issue, as long as soju replies with the ascii
casemapping in mind (solves point 1.).
marshalEntity/marshalUserPrefix:
When relaying entity names from upstreams with non-ascii casemappings,
soju *partially* casemap them: it only change the case of characters
which are not ascii letters. ASCII case is thus kept intact, while
special symbols like []{} are the same every time soju sends them to
downstreams (solves point 2.).
== Casemapping changes ==
Casemapping changes are not fully supported by this patch and will
result in loss of history. This is a limitation of the protocol and
should be solved by the RENAME spec.
The rationale for increasing the TCP keepalive interval from 15 seconds
(default) to 1 hour follows.
- Why increasing TCP keepalives for downstream connections is not an
issue wrt to detecting connection interruptions
The use case of TCP keepalives is detecting whether a TCP connection was
forcefully shut down without receiving any TCP FIN or RST frame, when no
data are sent from that endpoint to the other peer.
If any data is sent from the peer and is not ACKed because the
connection was interrupted, the socket will be closed after the TCP RTO
(usually a few seconds) anyway, without the need for TCP keepalives.
Therefore the only use of TCP keepalives is making sure that a peer that
is not writing anything to the socket, and is actively reading and
waiting for new stream data to be received, can, - instead of waiting
forever to receive packets that will never arrive because the connection
was interrupted -, detect this disconnection, close the connection
locally, then try to connect again to its peer.
This only makes sense from a client point-of-view. When an IRC client is
not write(2)ing anything to the socket but is simply waiting for new
messages to arrive, ie read(2)ing on the socket, it must ensure that the
connection is still alive so that any new messages will indeed be sent
to him. So that IRC client should probably enable TCP keepalives.
However, when an IRC server is not writing anything to its downstream
socket, it doesn't care if it misses any messages from its downstream
client: in any case, the downstream client will instantly detect when
its messages are not reaching its server, because of the TCP RTO
(keepalives are not even needed in the client in that specific case),
and will try to reconnect to the server.
Thus TCP keepalives should be enabled for upstream connections, in
order to make sure that soju does not miss any messages coming from
upstream servers, but TCP keepalives are not needed for downstream
connections.
- Why increasing TCP keepalives for downstream connections is not an
issue wrt security, performance, and server socket resources
exhaustion
TCP keepalives are orthogonal to security. Malicious clients can open
thousands of TCP connections and keep them open with minimal
bookkeeping, and TCP keepalives will not prevent attacks planning to
use up all available sockets to soju.
It is also unlikely that soju will keep many connections open, and in
the event that thousands of dead, disconnected connections are active in
soju, any upstream message that needs to be sent to downstreams will
disconnect all disconnected downstreams after the TCP RTO (a few
seconds). Performance could only be slightly affected in the few seconds
before a TCP RTO if many messages were sent to a very large number of
disconnected connections, which is extremely unlikely and not a large
impact to performance either.
- Why increasing TCP keepalives could be helpful to some clients running
on mobile devices
In the current state of IRC, most clients running on mobile devices
(mostly running Android and iOS) will probably need to stay connected
at all times, even when the application is in background, in order to
receive private messages and highlight notifications, complete chat
history (and possibly reduced connection traffic due to avoiding all the
initial messages traffic, including all NAMES and WHO replies which
are quite large).
This means most IRC clients on mobile devices will keep a socket open at
all times, in background. When a mobile device runs on a cellular data
connection, it uses the phone wireless radio to transmit all TCP
packets, including TCP packets without user data, for example TCP
keepalives.
On a typical mobile device, a wireless radio consumes significant power
when full active, so it switches between several energy states in order
to conserve power when not in use. It typically has 3 energy states,
from Standby, when no messages are sent, to Low Power, to Full Power;
and switches modes on an average time scale of 15s. This means that any
time any TCP packet is sent from any socket on the device, the radio
switches to a high-power energy state, sends the packet, then stays on
that energy state for around 15s, then goes back to Standby. This
does include TCP keepalives.
If a TCP keepalive of 15s was used, this means that the IRC server would
force all clients running on mobile devices to send a TCP keepalive
packet at least once every 15s, which means that the radio would stay
in its high-power energy state at all times. This would consume a
very significant amount of power and use up battery much faster.
Even though it would seem at first that a mobile device would have many
different sockets open at any time; actually, a typical Android device
typically has at one background socket open, with Firebase Cloud
Messaging, for receiving instant push notifications (for example, for
the equivalent of IRC highlights on other messaging platforms), and
perhaps a socket open for the current foreground app. When the current
foreground app does not use the network, or when no app is currently
used and the phone is in sleep mode, and no notifications are sent, then
the device can effectively have no wireless radio usage at all. This
makes removing TCP keepalives extremely significant with regard to the
mobile device battery usage.
Increasing the TCP keepalive from soju lets downstream clients choose
their own keepalive interval and therefore possibly save battery for
mobile devices. Most modern mobile devices have complex heuristics for
when to sleep the CPU and wireless radio, and have specific rules for
TCP keepalives depending on the current internet connection, sleep
state, etc.
By increasing the downstream TCP keepalive to such a high period, soju
lets clients choose their most optimal TCP keepalive period, which means
that in turn clients can possibly let their mobile device platform
choose best that keepalive for them, thus letting them save battery in
those cases.
