The old version only flushed data to slaves if there were strings
pending in the client->reply list. Now also static buffers are flushed.
Does not help to free memory (which is the only use we have right now in
the fuction), but is more correct conceptually, and may be used in
other contexts.
Arguments arity and arguments type error of redis.call() were not
reported correctly to Lua, so the command acted in this regard like
redis.pcall(), but just for two commands. Redis.call() should always
raise errors instead.
Currently this feature is only accessible via DEBUG for testing, since
otherwise depending on the instance configuration a given script works
or is broken, which is against the Redis philosophy.
By calling redis.replicate_commands(), the scripting engine of Redis
switches to commands replication instead of replicating whole scripts.
This is useful when the script execution is costly but only results in a
few writes performed to the dataset.
Morover, in this mode, it is possible to call functions with side
effects freely, since the script execution does not need to be
deterministic: anyway we'll capture the outcome from the point of view
of changes to the dataset.
In this mode math.random() returns different sequences at every call.
If redis.replicate_commnads() is not called before any other write, the
command returns false and sticks to whole scripts replication instead.
Sometimes it can be useful for clients to completely disable replies
from the Redis server. For example when the client sends fire and forget
commands or performs a mass loading of data, or in caching contexts
where new data is streamed constantly. In such contexts to use server
time and bandwidth in order to send back replies to clients, which are
going to be ignored, is a shame.
Multiple mechanisms are possible to implement such a feature. For
example it could be a feature of MULTI/EXEC, or a command prefix
such as "NOREPLY SADD myset foo", or a different mechanism that allows
to switch on/off requests using the CLIENT command.
The MULTI/EXEC approach has the problem that transactions are not
strictly part of the no-reply semantics, and if we want to insert a lot
of data in a bulk way, creating a huge MULTI/EXEC transaction in the
server memory is bad.
The prefix is the best in this specific use case since it does not allow
desynchronizations, and is pretty clear semantically. However Redis
internals and client libraries are not prepared to handle this
currently.
So the implementation uses the CLIENT command, providing a new REPLY
subcommand with three options:
CLIENT REPLY OFF disables the replies, and does not reply itself.
CLIENT REPLY ON re-enables the replies, replying +OK.
CLIENT REPLY SKIP only discards the reply of the next command, and
like OFF does not reply anything itself.
The reason to add the SKIP command is that it allows to have an easy
way to send conceptually "single" commands that don't need a reply
as the sum of two pipelined commands:
CLIENT REPLY SKIP
SET key value
Note that CLIENT REPLY ON replies with +OK so it should be used when
sending multiple commands that don't need a reply. However since it
replies with +OK the client can check that the connection is still
active and all the previous commands were received.
This is currently just into Redis "unstable" so the proposal can be
modified or abandoned based on users inputs.
This new function is able to restart the server "in place". The current
Redis process executes the same executable it was executed with, using
the same arguments and configuration file.
the check for lat/long valid ranges were performed inside the for loop,
two times instead of one, and the first time when the second element of
the array, xy[1], was yet not populated. This resulted into issue #2799.
Close issue #2799.
After the introduction of the list with clients with pending writes, to
process clients incrementally outside of the event loop we also need to
process the pending writes list.
The code was broken and resulted in redis-cli --pipe to, most of the
times, writing everything received in the standard input to the Redis
connection socket without ever reading back the replies, until all the
content to write was written.
This means that Redis had to accumulate all the output in the output
buffers of the client, consuming a lot of memory.
Fixed thanks to the original report of anomalies in the behavior
provided by Twitter user @fsaintjacques.
Georadius works by computing the center + neighbors squares covering all
the area of the specified position and radius. Then a distance filter is
used to remove elements which are actually outside the range.
When a huge radius is used, like 5000 km or more, adjacent neighbors may
collide and be the same, leading to the reporting of the same element
multiple times. This only happens in the edge case of huge radius but is
not ideal.
A robust but slow solution would involve qsorting the range to remove
all the duplicates. However since the collisions are only in adjacent
boxes, for the way they are ordered in the code, it is much faster to
just check if the current box is the same as the previous one processed.
This commit adds a regression test for the bug.
Fixes#2767.
MOVE was not able to move the TTL: when a key was moved into a different
database number, it became persistent like if PERSIST was used.
In some incredible way (I guess almost nobody uses Redis MOVE) this bug
remained unnoticed inside Redis internals for many years.
Finally Andy Grunwald discovered it and opened an issue.
This commit fixes the bug and adds a regression test.
Close#2765.
As Oran Agra suggested, in startBgsaveForReplication() when the BGSAVE
attempt returns an error, we scan the list of slaves in order to remove
them since there is no way to serve them currently.
However we check for the replication state BGSAVE_START, which was
modified by rdbSaveToSlaveSockets() before forking(). So when fork fails
the state of slaves remain BGSAVE_END and no cleanup is performed.
This commit fixes the problem by making rdbSaveToSlavesSockets() able to
undo the state change on fork failure.
Before this commit, after triggering a BGSAVE it was up to the caller of
startBgsavForReplication() to handle slaves in WAIT_BGSAVE_START in
order to update them accordingly. However when the replication target is
the socket, this is not possible since the process of updating the
slaves and sending the FULLRESYNC reply must be coupled with the process
of starting an RDB save (the reason is, we need to send the FULLSYNC
command and spawn a child that will start to send RDB data to the slaves
ASAP).
This commit moves the responsibility of handling slaves in
WAIT_BGSAVE_START to startBgsavForReplication() so that for both
diskless and disk-based replication we have the same chain of
responsiblity. In order accomodate such change, the syncCommand() also
needs to put the client in the slave list ASAP (just after the initial
checks) and not at the end, so that startBgsavForReplication() can find
the new slave alrady in the list.
Another related change is what happens if the BGSAVE fails because of
fork() or other errors: we now remove the slave from the list of slaves
and send an error, scheduling the slave connection to be terminated.
As a side effect of this change the following errors found by
Oran Agra are fixed (thanks!):
1. rdbSaveToSlavesSockets() on failed fork will get the slaves cleaned
up, otherwise they remain in a wrong state forever since we setup them
for full resync before actually trying to fork.
2. updateSlavesWaitingBgsave() with replication target set as "socket"
was broken since the function changed the slaves state from
WAIT_BGSAVE_START to WAIT_BGSAVE_END via
replicationSetupSlaveForFullResync(), so later rdbSaveToSlavesSockets()
will not find any slave in the right state (WAIT_BGSAVE_START) to feed.
It is simpler if removing the read event handler from the FD is up to
slaveTryPartialResynchronization, after all it is only called in the
context of syncWithMaster.
This commit also makes sure that on error all the event handlers are
removed from the socket before closing it.
Talking with @oranagra we had to reason a little bit to understand if
this function could ever flush the output buffers of the wrong slaves,
having online state but actually not being ready to receive writes
before the first ACK is received from them (this happens with diskless
replication).
Next time we'll just read this comment.
