Firstly, use access time to replace the decreas time of LFU.
For function LFUDecrAndReturn,
it should only try to get decremented counter,
not update LFU fields, we will update it in an explicit way.
And we will times halve the counter according to the times of
elapsed time than server.lfu_decay_time.
Everytime a key is accessed, we should update the LFU
including update access time, and increment the counter after
call function LFUDecrAndReturn.
If a key is overwritten, the LFU should be also updated.
Then we can use `OBJECT freq` command to get a key's frequence,
and LFUDecrAndReturn should be called in `OBJECT freq` command
in case of the key has not been accessed for a long time,
because we update the access time only when the key is read or
overwritten.
See #4192, the original PR removed lines of code that are actually
needed, so thanks to @chunqiulfq for reporting the problem, but merging
solution from @jeesyn after checking, together with @artix75, that the
logic covers all the cases.
When we free the backlog, we should use a new
replication ID and clear the ID2. Since without
backlog we can not increment master_repl_offset
even do write commands, that may lead to inconsistency
when we try to connect a "slave-before" master
(if this master is our slave before, our replid
equals the master's replid2). As the master have our
history, so we can match the master's replid2 and
second_replid_offset, that make partial sync work,
but the data is inconsistent.
getLongLongFromObject calls string2ll which has this line:
/* Return if not all bytes were used. */
so if you pass an sds with 3 characters "1\01" it will fail.
but getLongDoubleFromObject calls strtold, and considers it ok if eptr[0]==`\0`
i.e. if the end of the string found by strtold ends with null terminator
127.0.0.1:6379> set a 1
OK
127.0.0.1:6379> setrange a 2 2
(integer) 3
127.0.0.1:6379> get a
"1\x002"
127.0.0.1:6379> incrbyfloat a 2
"3"
127.0.0.1:6379> get a
"3"
For example:
1. A module command called within a MULTI section.
2. A Lua script with replicate_commands() called within a MULTI section.
3. A module command called from a Lua script in the above context.
Since SDS v2, we no longer have a single header, so the function to
rewrite the SDS in terms of the minimum space required, instead of just
using realloc() and let the underlying allocator decide what to do,
was doing an allocation + copy every time the minimum possible header
needed to represent the string was different than the current one.
This could be often a bit wasteful, because if we go, for instance, from
the 32 bit fields header to the 16 bit fields header, the overhead of
the header is normally very small. With this commit we call realloc
instead, unless the change in header size is very significant in relation
to the string length.
Normally in modern Redis you can't create zero-len lists, however it's
possible to load them from old RDB files generated, for instance, using
Redis 2.8 (see issue #4409). The "Right Thing" would be not loading such
lists at all, but this requires to hook in rdb.c random places in a not
great way, for a problem that is at this point, at best, minor.
Here in this commit instead I just fix the fact that zero length lists,
materialized as quicklists with the first node set to NULL, were
iterated in the wrong way while they are saved, leading to a crash.
The other parts of the list implementation are apparently able to deal
with empty lists correctly, even if they are no longer a thing.
There was not enough sanity checking in the code loading the slots of
Redis Cluster from the nodes.conf file, this resulted into the
attacker's ability to write data at random addresses in the process
memory, by manipulating the index of the array. The bug seems
exploitable using the following techique: the config file may be altered so
that one of the nodes gets, as node ID (which is the first field inside the
structure) some data that is actually executable: then by writing this
address in selected places, this node ID part can be executed after a
jump. So it is mostly just a matter of effort in order to exploit the
bug. In practice however the issue is not very critical because the
bug requires an unprivileged user to be able to modify the Redis cluster
nodes configuration, and at the same time this should result in some
gain. However Redis normally is unprivileged as well. Yet much better to
have this fixed indeed.
Fix#4278.
Certain checks were useless, at the same time certain malformed inputs
were accepted without problems (emtpy strings parsed as zero).
Cases where strtod() returns ERANGE but we still want to parse the input
where ok in getDoubleFromObject() but not in the long variant.
As a side effect of these fixes, this commit fixes#4391.
This commit is a reinforcement of commit c1c99e9.
1. Replication information can be stored when the RDB file is
generated by a mater using server.slaveseldb when server.repl_backlog
is not NULL, or set repl_stream_db be -1. That's safe, because
NULL server.repl_backlog will trigger full synchronization,
then master will send SELECT command to replicaiton stream.
2. Only do rdbSave* when rsiptr is not NULL,
if we do rdbSave* without rdbSaveInfo, slave will miss repl-stream-db.
3. Save the replication informations also in the case of
SAVE command, FLUSHALL command and DEBUG reload.
This commit attempts to fix a number of bugs reported in #4316.
They are related to the way replication info like replication ID,
offsets, and currently selected DB in the master client, are stored
and loaded by Redis. In order to avoid inconsistencies the changes in
this commit try to enforce that:
1. Replication information are only stored when the RDB file is
generated by a slave that has a valid 'master' client, so that we can
always extract the currently selected DB.
2. When replication informations are persisted in the RDB file, all the
info for a successful PSYNC or nothing is persisted.
3. The RDB replication informations are only loaded if the instance is
configured as a slave, otherwise a master can start with IDs that relate
to a different history of the data set, and stil retain such IDs in the
future while receiving unrelated writes.
A slave may be started with an RDB file able to provide enough slave to
perform a successful partial SYNC with its master. However in such a
case, how outlined in issue #4268, the slave backlog will not be
started, since it was only initialized on full syncs attempts. This
creates different problems with successive PSYNC attempts that will
always result in full synchronizations.
Thanks to @fdingiit for discovering the issue.
when SHUTDOWN command is recived it is possible that some of the recent
command were not yet flushed from the AOF buffer, and the server
experiences data loss at shutdown.
Lua scripting does not support calling blocking commands, however all
the native Redis commands are flagged as "s" (no scripting flag), so
this is not possible at all. With modules there is no such mechanism in
order to flag a command as non callable by the Lua scripting engine,
moreover we cannot trust the modules users from complying all the times:
it is likely that modules will be released to have blocking commands
without such commands being flagged correctly, even if we provide a way to
signal this fact.
This commit attempts to address the problem in a short term way, by
detecting that a module is trying to block in the context of the Lua
scripting engine client, and preventing to do this. The module will
actually believe to block as usually, but what happens is that the Lua
script receives an error immediately, and the background call is ignored
by the Redis engine (if not for the cleanup callbacks, once it
unblocks).
Long term, the more likely solution, is to introduce a new call called
RedisModule_GetClientFlags(), so that a command can detect if the caller
is a Lua script, and return an error, or avoid blocking at all.
Being the blocking API experimental right now, more work is needed in
this regard in order to reach a level well blocking module commands and
all the other Redis subsystems interact peacefully.
Now the effect is like the following:
127.0.0.1:6379> eval "redis.call('hello.block',1,5000)" 0
(error) ERR Error running script (call to
f_b5ba35ff97bc1ef23debc4d6e9fd802da187ed53): @user_script:1: ERR
Blocking module command called from Lua script
This commit fixes issue #4127 in the short term.
This function failed when an internal-only flag was set as an only flag
in a node: the string was trimmed expecting a final comma before
exiting the function, causing a crash. See issue #4142.
Moreover generation of flags representation only needed at DEBUG log
level was always performed: a waste of CPU time. This is fixed as well
by this commit.
The function cache was not working at all, and the function returned
wrong values if there where two or more modules exporting native data
types.
See issue #4131 for more details.
In Redis 4.0 replication, with the introduction of PSYNC2, masters and
slaves replicate commands to cascading slaves and to the replication
backlog itself in a different way compared to the past.
Masters actually replicate the effects of client commands.
Slaves just propagate what they receive from masters.
This mechanism can cause problems when the configuration of an instance
is changed from master to slave inside a transaction. For instance
we could send to a master instance the following sequence:
MULTI
SLAVEOF 127.0.0.1 0
EXEC
SLAVEOF NO ONE
Before the fixes in this commit, the MULTI command used to be propagated
into the replication backlog, however after the SLAVEOF command the
instance is a slave, so the EXEC implementation failed to also propagate
the EXEC command. When the slaves of the above instance reconnected,
they were incrementally synchronized just sending a "MULTI". This put
the master client (in the slaves) into MULTI state, breaking the
replication.
Notably even Redis Sentinel uses the above approach in order to guarantee
that configuration changes are always performed together with rewrites
of the configuration and with clients disconnection. Sentiel does:
MULTI
SLAVEOF ...
CONFIG REWRITE
CLIENT KILL TYPE normal
EXEC
So this was a really problematic issue. However even with the fix in
this commit, that will add the final EXEC to the replication stream in
case the instance was switched from master to slave during the
transaction, the result would be to increment the slave replication
offset, so a successive reconnection with the new master, will not
permit a successful partial resynchronization: no way the new master can
provide us with the backlog needed, we incremented our offset to a value
that the new master cannot have.
However the EXEC implementation waits to emit the MULTI, so that if the
commands inside the transaction actually do not need to be replicated,
no commands propagation happens at all. From multi.c:
if (!must_propagate && !(c->cmd->flags & (CMD_READONLY|CMD_ADMIN))) {
execCommandPropagateMulti(c);
must_propagate = 1;
}
The above code is already modified by this commit you are reading.
Now also ADMIN commands do not trigger the emission of MULTI. It is actually
not clear why we do not just check for CMD_WRITE... Probably I wrote it this
way in order to make the code more reliable: better to over-emit MULTI
than not emitting it in time.
So this commit should indeed fix issue #3836 (verified), however it looks
like some reconsideration of this code path is needed in the long term.
BONUS POINT: The reverse bug.
Even in a read only slave "B", in a replication setup like:
A -> B -> C
There are commands without the READONLY nor the ADMIN flag, that are also
not flagged as WRITE commands. An example is just the PING command.
So if we send B the following sequence:
MULTI
PING
SLAVEOF NO ONE
EXEC
The result will be the reverse bug, where only EXEC is emitted, but not the
previous MULTI. However this apparently does not create problems in practice
but it is yet another acknowledge of the fact some work is needed here
in order to make this code path less surprising.
Note that there are many different approaches we could follow. For instance
MULTI/EXEC blocks containing administrative commands may be allowed ONLY
if all the commands are administrative ones, otherwise they could be
denined. When allowed, the commands could simply never be replicated at all.
In general we do not want before/after sleep() callbacks to be called
when we re-enter the event loop, since those calls are only designed in
order to perform operations every main iteration of the event loop, and
re-entering is often just a way to incrementally serve clietns with
error messages or other auxiliary operations. However, if we call the
callbacks, we are then forced to think at before/after sleep callbacks
as re-entrant, which is much harder without any good need.
However here there was also a clear bug: beforeSleep() was actually
never called when re-entering the event loop. But the new afterSleep()
callback was. This is broken and in this instance re-entering
afterSleep() caused a modules GIL dead lock.
Redis clients need to have an instantaneous idea of the amount of memory
they are consuming (if the number is not exact should at least be
proportional to the actual memory usage). We do that adding and
subtracting the SDS length when pushing / popping from the client->reply
list. However it is quite simple to add bugs in such a setup, by not
taking the objects in the list and the count in sync. For such reason,
Redis has an assertion to track counts near 2^64: those are always the
result of the counter wrapping around because we subtract more than we
add. This commit adds the symmetrical assertion: when the list is empty
since we sent everything, the reply_bytes count should be zero. Thanks
to the new assertion it should be simple to also detect the other
problem, where the count slowly increases because of over-counting.
The assertion adds a conditional in the code that sends the buffer to
the socket but should not create any measurable performance slowdown,
listLength() just accesses a structure field, and this code path is
totally dominated by write(2).
Related to #4100.
This commit closes issue #3698, at least for now, since the root cause
was not fixed: the bounding box function, for huge radiuses, does not
return a correct bounding box, there are points still within the radius
that are left outside.
So when using GEORADIUS queries with radiuses in the order of 5000 km or
more, it was possible to see, at the edge of the area, certain points
not correctly reported.
Because the bounding box for now was used just as an optimization, and
such huge radiuses are not common, for now the optimization is just
switched off when the radius is near such magnitude.
Three test cases found by the Continuous Integration test were added, so
that we can easily trigger the bug again, both for regression testing
and in order to properly fix it as some point in the future.
This feature was proposed by @rosmo in PR #2643 and later redesigned
in order to fit better with the other options for non-interactive modes
of redis-cli. The idea is basically to allow to collect latency
information in scripts, cron jobs or whateever, just running for a
limited time and then producing a single output.
This is the first step towards getting rid of HMSET which is a command
that does not make much sense once HSET is variadic, and has a saner
return value.
Issue #4084 shows how for a design error, GEORADIUS is a write command
because of the STORE option. Because of this it does not work
on readonly slaves, gets redirected to masters in Redis Cluster even
when the connection is in READONLY mode and so forth.
To break backward compatibility at this stage, with Redis 4.0 to be in
advanced RC state, is problematic for the user base. The API can be
fixed into the unstable branch soon if we'll decide to do so in order to
be more consistent, and reease Redis 5.0 with this incompatibility in
the future. This is still unclear.
However, the ability to scale GEO queries in slaves easily is too
important so this commit adds two read-only variants to the GEORADIUS
and GEORADIUSBYMEMBER command: GEORADIUS_RO and GEORADIUSBYMEMBER_RO.
The commands are exactly as the original commands, but they do not
accept the STORE and STOREDIST options.
The original RDB serialization format was not parsable without the
module loaded, becuase the structure was managed only by the module
itself. Moreover RDB is a streaming protocol in the sense that it is
both produce di an append-only fashion, and is also sometimes directly
sent to the socket (in the case of diskless replication).
The fact that modules values cannot be parsed without the relevant
module loaded is a problem in many ways: RDB checking tools must have
loaded modules even for doing things not involving the value at all,
like splitting an RDB into N RDBs by key or alike, or just checking the
RDB for sanity.
In theory module values could be just a blob of data with a prefixed
length in order for us to be able to skip it. However prefixing the values
with a length would mean one of the following:
1. To be able to write some data at a previous offset. This breaks
stremaing.
2. To bufferize values before outputting them. This breaks performances.
3. To have some chunked RDB output format. This breaks simplicity.
Moreover, the above solution, still makes module values a totally opaque
matter, with the fowllowing problems:
1. The RDB check tool can just skip the value without being able to at
least check the general structure. For datasets composed mostly of
modules values this means to just check the outer level of the RDB not
actually doing any checko on most of the data itself.
2. It is not possible to do any recovering or processing of data for which a
module no longer exists in the future, or is unknown.
So this commit implements a different solution. The modules RDB
serialization API is composed if well defined calls to store integers,
floats, doubles or strings. After this commit, the parts generated by
the module API have a one-byte prefix for each of the above emitted
parts, and there is a final EOF byte as well. So even if we don't know
exactly how to interpret a module value, we can always parse it at an
high level, check the overall structure, understand the types used to
store the information, and easily skip the whole value.
The change is backward compatible: older RDB files can be still loaded
since the new encoding has a new RDB type: MODULE_2 (of value 7).
The commit also implements the ability to check RDB files for sanity
taking advantage of the new feature.
It looks safer to return C_OK from freeMemoryIfNeeded() when clients are
paused because returning C_ERR may prevent success of writes. It is
possible that there is no difference in practice since clients cannot
execute writes while clients are paused, but it looks more correct this
way, at least conceptually.
Related to PR #4028.
1. brpop last key index, thus checking all keys for slots.
2. Memory leak in clusterRedirectBlockedClientIfNeeded.
3. Remove while loop in clusterRedirectBlockedClientIfNeeded.
This avoids Helgrind complaining, but we are actually not using
atomicGet() to get the unixtime value for now: too many places where it
is used and given tha time_t is word-sized it should be safe in all the
archs we support as it is.
On the other hand, Helgrind, when Redis is compiled with "make helgrind"
in order to force the __sync macros, will detect the write in
updateCachedTime() as a read (because atomic functions are used) and
will not complain about races.
This commit also includes minor refactoring of mutex initializations and
a "helgrind" target in the Makefile.
The __sync builtin can be correctly detected by Helgrind so to force it
is useful for testing. The API in the INFO output can be useful for
debugging after problems are reported.
Instead of giving the module background operations just a small time to
run in the beforeSleep() function, we can have the lock released for all
the time we are blocked in the multiplexing syscall.
Experimentally verified that it can trigger the issue reverting the fix.
At least on my system... Being the bug time/backlog dependant, it is
very hard to tell if this test will be able to trigger the problem
consistently, however even if it triggers the problem once in a while,
we'll see it in the CI environment at http://ci.redis.io.
Normally we never check for OOM conditions inside Redis since the
allocator will always return a pointer or abort the program on OOM
conditons. However we cannot have control on epool_create(), that may
fail for kernel OOM (according to the manual page) even if all the
parameters are correct, so the function aeCreateEventLoop() may indeed
return NULL and this condition must be checked.
The master client cleanup was incomplete: resetClient() was missing and
the output buffer of the client was not reset, so pending commands
related to the previous connection could be still sent.
The first problem caused the client argument vector to be, at times,
half populated, so that when the correct replication stream arrived the
protcol got mixed to the arugments creating invalid commands that nobody
called.
Thanks to @yangsiran for also investigating this problem, after
already providing important design / implementation hints for the
original PSYNC2 issues (see referenced Github issue).
Note that this commit adds a new function to the list library of Redis
in order to be able to reset a list without destroying it.
Related to issue #3899.
Apparently 1.4 is too low compared to what you get in certain setups
(including mine). I raised it to 1.55 that hopefully is still enough to
test that the fragmentation went down from 1.7 but without incurring in
issues, however the test setup may be still fragile so certain times this
may lead to false positives again, it's hard to test for these things
in a determinsitic way.
Related to #3786.
During the review of the fix for #3899, @yangsiran identified an
implementation bug: given that the offset is now relative to the applied
part of the replication log, when we cache a master, the successive
PSYNC2 request will be made in order to *include* the transaction that
was not completely processed. This means that we need to discard any
pending transaction from our replication buffer: it will be re-executed.
This bug was discovered by @kevinmcgehee and constituted a major hidden
bug in the PSYNC2 implementation, caused by the propagation from the
master of incomplete commands to slaves.
The bug had several results:
1. Borrowing from Kevin text in the issue: "Given that slaves blindly
copy over their master's input into their own replication backlog over
successive read syscalls, it's possible that with large commands or
small TCP buffers, partial commands are present in this buffer. If the
master were to fail before successfully propagating the entire command
to a slave, the slaves will never execute the partial command (since the
client is invalidated) but will copy it to replication backlog which may
relay those invalid bytes to its slaves on PSYNC2, corrupting the
backlog and possibly other valid commands that follow the failover.
Simple command boundaries aren't sufficient to capture this, either,
because in the case of a MULTI/EXEC block, if the master successfully
propagates a subset of the commands but not the EXEC, then the
transaction in the backlog becomes corrupt and could corrupt other
slaves that consume this data."
2. As identified by @yangsiran later, there is another effect of the
bug. For the same mechanism of the first problem, a slave having another
slave, could receive a full resynchronization request with an already
half-applied command in the backlog. Once the RDB is ready, it will be
sent to the slave, and the replication will continue sending to the
sub-slave the other half of the command, which is not valid.
The fix, designed by @yangsiran and @antirez, and implemented by
@antirez, uses a secondary buffer in order to feed the sub-masters and
update the replication backlog and offsets, only when a given part of
the query buffer is actually *applied* to the state of the instance,
that is, when the command gets processed and the command is not pending
in the Redis transaction buffer because of CLIENT_MULTI state.
Given that now the backlog and offsets representation are in agreement
with the actual processed commands, both issue 1 and 2 should no longer
be possible.
Thanks to @kevinmcgehee, @yangsiran and @oranagra for their work in
identifying and designing a fix for this problem.
However we allow for 500 milliseconds of tolerance, in order to
avoid often discarding semantically valid info (the node is up)
because of natural few milliseconds desync among servers even when
NTP is used.
Note that anyway we should ping the node from time to time regardless and
discover if it's actually down from our point of view, since no update
is accepted while we have an active ping on the node.
Related to #3929.
And many other related Github issues... all reporting the same problem.
There was probably just not enough backlog in certain unlucky runs.
I'll ask people that can reporduce if they see now this as fixed as
well.
To rely on the fact that nodes in PFAIL state will be shared around by
randomly adding them in the gossip section is a weak assumption,
especially after changes related to sending less ping/pong packets.
We want to always include gossip entries for all the nodes that are in
PFAIL state, so that the PFAIL -> FAIL state promotion can happen much
faster and reliably.
Related to #3929.
The gossip section times are 32 bit, so cannot store the milliseconds
time but just the seconds approximation, which is good enough for our
uses. At the same time however, when comparing the gossip section times
of other nodes with our node's view, we need to convert back to
milliseconds.
Related to #3929. Without this change the patch to reduce the traffic in
the bus message does not work.
Cluster of bigger sizes tend to have a lot of traffic in the cluster bus
just for failure detection: a node will try to get a ping reply from
another node no longer than when the half the node timeout would elapsed,
in order to avoid a false positive.
However this means that if we have N nodes and the node timeout is set
to, for instance M seconds, we'll have to ping N nodes every M/2
seconds. This N*M/2 pings will receive the same number of pongs, so
a total of N*M packets per node. However given that we have a total of N
nodes doing this, the total number of messages will be N*N*M.
In a 100 nodes cluster with a timeout of 60 seconds, this translates
to a total of 100*100*30 packets per second, summing all the packets
exchanged by all the nodes.
This is, as you can guess, a lot... So this patch changes the
implementation in a very simple way in order to trust the reports of
other nodes: if a node A reports a node B as alive at least up to
a given time, we update our view accordingly.
The problem with this approach is that it could result into a subset of
nodes being able to reach a given node X, and preventing others from
detecting that is actually not reachable from the majority of nodes.
So the above algorithm is refined by trusting other nodes only if we do
not have currently a ping pending for the node X, and if there are no
failure reports for that node.
Since each node, anyway, pings 10 other nodes every second (one node
every 100 milliseconds), anyway eventually even trusting the other nodes
reports, we will detect if a given node is down from our POV.
Now to understand the number of packets that the cluster would exchange
for failure detection with the patch, we can start considering the
random PINGs that the cluster sent anyway as base line:
Each node sends 10 packets per second, so the total traffic if no
additioal packets would be sent, including PONG packets, would be:
Total messages per second = N*10*2
However by trusting other nodes gossip sections will not AWALYS prevent
pinging nodes for the "half timeout reached" rule all the times. The
math involved in computing the actual rate as N and M change is quite
complex and depends also on another parameter, which is the number of
entries in the gossip section of PING and PONG packets. However it is
possible to compare what happens in cluster of different sizes
experimentally. After applying this patch a very important reduction in
the number of packets exchanged is trivial to observe, without apparent
impacts on the failure detection performances.
Actual numbers with different cluster sizes should be published in the
Reids Cluster documentation in the future.
Related to #3929.
If a thread unblocks a client blocked in a module command, by using the
RedisMdoule_UnblockClient() API, the event loop may not be awaken until
the next timeout of the multiplexing API or the next unrelated I/O
operation on other clients. We actually want the client to be served
ASAP, so a mechanism is needed in order for the unblocking API to inform
Redis that there is a client to serve ASAP.
This commit fixes the issue using the old trick of the pipe: when a
client needs to be unblocked, a byte is written in a pipe. When we run
the list of clients blocked in modules, we consume all the bytes
written in the pipe. Writes and reads are performed inside the context
of the mutex, so no race is possible in which we consume the bytes that
are actually related to an awake request for a client that should still
be put into the list of clients to unblock.
It was verified that after the fix the server handles the blocked
clients with the expected short delay.
Thanks to @dvirsky for understanding there was such a problem and
reporting it.
Testing with Solaris C compiler (SunOS 5.11 11.2 sun4v sparc sun4v)
there were issues compiling due to atomicvar.h and running the
tests also failed because of "tail" usage not conform with Solaris
tail implementation. This commit fixes both the issues.
Slow systems like the original Raspberry PI need more time
than 5 seconds to start the script and detect writes.
After fixing the Raspberry PI can pass the unit without issues.
For performance reasons we use a reduced rounds variant of
SipHash. This should still provide enough protection and the
effects in the hash table distribution are non existing.
If some real world attack on SipHash 1-2 will be found we can
trivially switch to something more secure. Anyway it is a
big step forward from Murmurhash, for which it is trivial to
generate *seed independent* colliding keys... The speed
penatly introduced by SipHash 2-4, around 4%, was a too big
price to pay compared to the effectiveness of the HashDoS
attack against SipHash 1-2, and considering so far in the
Redis history, no such an incident ever happened even while
using trivially to collide hash functions.
1. Refactor memory overhead computation into a function.
2. Every 10 keys evicted, check if memory usage already reached
the target value directly, since we otherwise don't count all
the memory reclaimed by the background thread right now.
This change attempts to switch to an hash function which mitigates
the effects of the HashDoS attack (denial of service attack trying
to force data structures to worst case behavior) while at the same time
providing Redis with an hash function that does not expect the input
data to be word aligned, a condition no longer true now that sds.c
strings have a varialbe length header.
Note that it is possible sometimes that even using an hash function
for which collisions cannot be generated without knowing the seed,
special implementation details or the exposure of the seed in an
indirect way (for example the ability to add elements to a Set and
check the return in which Redis returns them with SMEMBERS) may
make the attacker's life simpler in the process of trying to guess
the correct seed, however the next step would be to switch to a
log(N) data structure when too many items in a single bucket are
detected: this seems like an overkill in the case of Redis.
SPEED REGRESION TESTS:
In order to verify that switching from MurmurHash to SipHash had
no impact on speed, a set of benchmarks involving fast insertion
of 5 million of keys were performed.
The result shows Redis with SipHash in high pipelining conditions
to be about 4% slower compared to using the previous hash function.
However this could partially be related to the fact that the current
implementation does not attempt to hash whole words at a time but
reads single bytes, in order to have an output which is endian-netural
and at the same time working on systems where unaligned memory accesses
are a problem.
Further X86 specific optimizations should be tested, the function
may easily get at the same level of MurMurHash2 if a few optimizations
are performed.
GCC will produce certain unaligned multi load-store instructions
that will be trapped by the Linux kernel since ARM v6 cannot
handle them with unaligned addresses. Better to use the slower
but safer implementation instead of generating the exception which
should be anyway very slow.
I'm not sure how much test Jemalloc gets on ARM, moreover
compiling Redis with Jemalloc support in not very powerful
devices, like most ARMs people will build Redis on, is extremely
slow. It is possible to enable Jemalloc build anyway if needed
by using "make MALLOC=jemalloc".
However note that in architectures supporting 64 bit unaligned
accesses memcpy(...,...,8) is likely translated to a simple
word memory movement anyway.
After investigating issue #3796, it was discovered that MIGRATE
could call migrateCloseSocket() after the original MIGRATE c->argv
was already rewritten as a DEL operation. As a result the host/port
passed to migrateCloseSocket() could be anything, often a NULL pointer
that gets deferenced crashing the server.
Now the socket is closed at an earlier time when there is a socket
error in a later stage where no retry will be performed, before we
rewrite the argument vector. Moreover a check was added so that later,
in the socket_err label, there is no further attempt at closing the
socket if the argument was rewritten.
This fix should resolve the bug reported in #3796.
Ziplists had a bug that was discovered while investigating a different
issue, resulting in a corrupted ziplist representation, and a likely
segmentation foult and/or data corruption of the last element of the
ziplist, once the ziplist is accessed again.
The bug happens when a specific set of insertions / deletions is
performed so that an entry is encoded to have a "prevlen" field (the
length of the previous entry) of 5 bytes but with a count that could be
encoded in a "prevlen" field of a since byte. This could happen when the
"cascading update" process called by ziplistInsert()/ziplistDelete() in
certain contitious forces the prevlen to be bigger than necessary in
order to avoid too much data moving around.
Once such an entry is generated, inserting a very small entry
immediately before it will result in a resizing of the ziplist for a
count smaller than the current ziplist length (which is a violation,
inserting code expects the ziplist to get bigger actually). So an FF
byte is inserted in a misplaced position. Moreover a realloc() is
performed with a count smaller than the ziplist current length so the
final bytes could be trashed as well.
SECURITY IMPLICATIONS:
Currently it looks like an attacker can only crash a Redis server by
providing specifically choosen commands. However a FF byte is written
and there are other memory operations that depend on a wrong count, so
even if it is not immediately apparent how to mount an attack in order
to execute code remotely, it is not impossible at all that this could be
done. Attacks always get better... and we did not spent enough time in
order to think how to exploit this issue, but security researchers
or malicious attackers could.
The original jemalloc source tree was modified to:
1. Remove the configure error that prevents nested builds.
2. Insert the Redis private Jemalloc API in order to allow the
Redis fragmentation function to work.
This header file is for libs, like ziplist.c, that we want to leave
almost separted from the core. The panic() calls will be easy to delete
in order to use such files outside, but the debugging info we gain are
very valuable compared to simple assertions where it is not possible to
print debugging info.
This is of great interest because allows us to print debugging
informations that could be of useful when debugging, like in the
following example:
serverPanic("Unexpected encoding for object %d, %d",
obj->type, obj->encoding);
Don't go over 80 cols. Start with captial letter, capital letter afer
point, end comment with a point and so forth. No actual code behavior
touched at all.
There were two cases outlined in issue #3512 and PR #3551 where
the Geo API returned unexpected results: empty strings where NULL
replies were expected, or a single null reply where an array was
expected. This violates the Redis principle that Redis replies for
existing keys or elements should be indistinguishable.
This is technically an API breakage so will be merged only into 4.0 and
specified in the changelog in the list of breaking compatibilities, even
if it is not very likely that actual code will be affected, hopefully,
since with the past behavior basically there was to acconut for *both*
the possibilities, and the new behavior is always one of the two, but
in a consistent way.
You can still force the logo in the normal logs.
For motivations, check issue #3112. For me the reason is that actually
the logo is nice to have in interactive sessions, but inside the logs
kinda loses its usefulness, but for the ability of users to recognize
restarts easily: for this reason the new startup sequence shows a one
liner ASCII "wave" so that there is still a bit of visual clue.
Startup logging was modified in order to log events in more obvious
ways, and to log more events. Also certain important informations are
now more easy to parse/grep since they are printed in field=value style.
The option --always-show-logo in redis.conf was added, defaulting to no.
This commit also contains other changes in order to conform the code to
the Redis core style, specifically 80 chars max per line, smart
conditionals in the same line:
if (that) do_this();
The new algorithm provides the same speed with a smaller error for
cardinalities in the range 0-100k. Before switching, the new and old
algorithm behavior was studied in details in the context of
issue #3677. You can find a few graphs and motivations there.
Otherwise for small cardinalities the algorithm will output something
like, for example, 4.99 for a candinality of 5, that will be converted
to 4 producing a huge error.
The commit improves ziplistRepr() and adds a new debugging subcommand so
that we can trigger the dump directly from the Redis API.
This command capability was used while investigating issue #3684.
After the fix for #3673 the ttl var is always initialized inside the
loop itself, so the early initialization is not needed.
Variables declaration also moved to a more local scope.
Before, if a previous key had a TTL set but the current one didn't, the
TTL was reused and thus resulted in wrong expirations set.
This behaviour was experienced, when `MigrateDefaultPipeline` in
redis-trib was set to >1
Fixes#3655
BACKGROUND AND USE CASEj
Redis slaves are normally write only, however the supprot a "writable"
mode which is very handy when scaling reads on slaves, that actually
need write operations in order to access data. For instance imagine
having slaves replicating certain Sets keys from the master. When
accessing the data on the slave, we want to peform intersections between
such Sets values. However we don't want to intersect each time: to cache
the intersection for some time often is a good idea.
To do so, it is possible to setup a slave as a writable slave, and
perform the intersection on the slave side, perhaps setting a TTL on the
resulting key so that it will expire after some time.
THE BUG
Problem: in order to have a consistent replication, expiring of keys in
Redis replication is up to the master, that synthesize DEL operations to
send in the replication stream. However slaves logically expire keys
by hiding them from read attempts from clients so that if the master did
not promptly sent a DEL, the client still see logically expired keys
as non existing.
Because slaves don't actively expire keys by actually evicting them but
just masking from the POV of read operations, if a key is created in a
writable slave, and an expire is set, the key will be leaked forever:
1. No DEL will be received from the master, which does not know about
such a key at all.
2. No eviction will be performed by the slave, since it needs to disable
eviction because it's up to masters, otherwise consistency of data is
lost.
THE FIX
In order to fix the problem, the slave should be able to tag keys that
were created in the slave side and have an expire set in some way.
My solution involved using an unique additional dictionary created by
the writable slave only if needed. The dictionary is obviously keyed by
the key name that we need to track: all the keys that are set with an
expire directly by a client writing to the slave are tracked.
The value in the dictionary is a bitmap of all the DBs where such a key
name need to be tracked, so that we can use a single dictionary to track
keys in all the DBs used by the slave (actually this limits the solution
to the first 64 DBs, but the default with Redis is to use 16 DBs).
This solution allows to pay both a small complexity and CPU penalty,
which is zero when the feature is not used, actually. The slave-side
eviction is encapsulated in code which is not coupled with the rest of
the Redis core, if not for the hook to track the keys.
TODO
I'm doing the first smoke tests to see if the feature works as expected:
so far so good. Unit tests should be added before merging into the
4.0 branch.
The test now uses more diverse radius sizes, especially sizes near or
greater the whole earth surface are used, that are known to trigger edge
cases. Moreover the PRNG seeding was probably resulting into the same
sequence tested over and over again, now seeding unsing the current unix
time in milliseconds.
Related to #3631.
A bug was reported in the context in issue #3631. The root cause of the
bug was that certain neighbor boxes were zeroed after the "inside the
bounding box or not" check, simply because the bounding box computation
function was wrong.
A few debugging infos where enhanced and moved in other parts of the
code. A check to avoid steps=0 was added, but is unrelated to this
issue and I did not verified it was an actual bug in practice.
"refcount -- Return the number of references of the value associated with the specified key.");
blen++;addReplyStatus(c,
"encoding -- Return the kind of internal representation used in order to store the value associated with a key.");
blen++;addReplyStatus(c,
"idletime -- Return the idle time of the key, that is the approximated number of seconds elapsed since the last access to the key.");
blen++;addReplyStatus(c,
"freq -- Return the access frequency index of the key. The returned integer is proportional to the logarithm of the recent access frequency of the key.");
addReplyError(c,"An LRU maxmemory policy is selected, access frequency not tracked. Please note that when switching between policies at runtime LRU and LFU data will take some time to adjust.");
addReplyError(c,"An LFU maxmemory policy is not selected, access frequency not tracked. Please note that when switching between policies at runtime LRU and LFU data will take some time to adjust.");
return;
}
addReplyLongLong(c,o->lru&255);
/* LFUDecrAndReturn should be called
* in case of the key has not been accessed for a long time,
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