Add two INFO metrics:
```
total_eviction_exceeded_time:69734
current_eviction_exceeded_time:10230
```
`current_eviction_exceeded_time` if greater than 0, means how much time current used memory is greater than `maxmemory`. And we are still over the maxmemory. If used memory is below `maxmemory`, this metric is reset to 0.
`total_eviction_exceeded_time` means total time used memory is greater than `maxmemory` since server startup.
The units of these two metrics are ms.
Co-authored-by: Oran Agra <oran@redislabs.com>
This PR adds a spell checker CI action that will fail future PRs if they introduce typos and spelling mistakes.
This spell checker is based on blacklist of common spelling mistakes, so it will not catch everything,
but at least it is also unlikely to cause false positives.
Besides that, the PR also fixes many spelling mistakes and types, not all are a result of the spell checker we use.
Here's a summary of other changes:
1. Scanned the entire source code and fixes all sorts of typos and spelling mistakes (including missing or extra spaces).
2. Outdated function / variable / argument names in comments
3. Fix outdated keyspace masks error log when we check `config.notify-keyspace-events` in loadServerConfigFromString.
4. Trim the white space at the end of line in `module.c`. Check: https://github.com/redis/redis/pull/7751
5. Some outdated https link URLs.
6. Fix some outdated comment. Such as:
- In README: about the rdb, we used to said create a `thread`, change to `process`
- dbRandomKey function coment (about the dictGetRandomKey, change to dictGetFairRandomKey)
- notifyKeyspaceEvent fucntion comment (add type arg)
- Some others minor fix in comment (Most of them are incorrectly quoted by variable names)
7. Modified the error log so that users can easily distinguish between TCP and TLS in `changeBindAddr`
Make aof rewrite buffer memory size more accurate, before, there may be 20%
deviation with its real memory usage.
The implication are both lower memory usage, and also a more accurate INFO.
In theory we should have used zmalloc_usable_size, but it may be slower,
and now after #7875, there's no actual difference.
So this change isn't making a dramatic change.
Co-authored-by: Oran Agra <oran@redislabs.com>
When client tracking is enabled signalModifiedKey can increase memory usage,
this can cause the loop in performEvictions to keep running since it was measuring
the memory usage impact of signalModifiedKey.
The section that measures the memory impact of the eviction should be just on dbDelete,
excluding keyspace notification, client tracking, and propagation to AOF and replicas.
This resolves part of the problem described in #8069
p.s. fix took 1 minute, test took about 3 hours to write.
As we know, redis may reject user's requests or evict some keys if
used memory is over maxmemory. Dictionaries expanding may make
things worse, some big dictionaries, such as main db and expires dict,
may eat huge memory at once for allocating a new big hash table and be
far more than maxmemory after expanding.
There are related issues: #4213#4583
More details, when expand dict in redis, we will allocate a new big
ht[1] that generally is double of ht[0], The size of ht[1] will be
very big if ht[0] already is big. For db dict, if we have more than
64 million keys, we need to cost 1GB for ht[1] when dict expands.
If the sum of used memory and new hash table of dict needed exceeds
maxmemory, we shouldn't allow the dict to expand. Because, if we
enable keys eviction, we still couldn't add much more keys after
eviction and rehashing, what's worse, redis will keep less keys when
redis only remains a little memory for storing new hash table instead
of users' data. Moreover users can't write data in redis if disable
keys eviction.
What this commit changed ?
Add a new member function expandAllowed for dict type, it provide a way
for caller to allow expand or not. We expose two parameters for this
function: more memory needed for expanding and dict current load factor,
users can implement a function to make a decision by them.
For main db dict and expires dict type, these dictionaries may be very
big and cost huge memory for expanding, so we implement a judgement
function: we can stop dict to expand provisionally if used memory will
be over maxmemory after dict expands, but to guarantee the performance
of redis, we still allow dict to expand if dict load factor exceeds the
safe load factor.
Add test cases to verify we don't allow main db to expand when left
memory is not enough, so that avoid keys eviction.
Other changes:
For new hash table size when expand. Before this commit, the size is
that double used of dict and later _dictNextPower. Actually we aim to
control a dict load factor between 0.5 and 1.0. Now we replace *2 with
+1, since the first check is that used >= size, the outcome of before
will usually be the same as _dictNextPower(used+1). The only case where
it'll differ is when dict_can_resize is false during fork, so that later
the _dictNextPower(used*2) will cause the dict to jump to *4 (i.e.
_dictNextPower(1025*2) will return 4096).
Fix rehash test cases due to changing algorithm of new hash table size
when expand.
If 'delta' is negative 'mem_freed' may underflow and cause
the while loop to exit prematurely (And not evicting enough
memory)
mem_freed can be negative when:
1. We use lazy free (consuming memory by appending to a list)
2. Thread doing an allocation between the two calls to zmalloc_used_memory.
Redis 6.0 introduces I/O threads, it is so cool and efficient, we use C11
_Atomic to establish inter-thread synchronization without mutex. But the
compiler that must supports C11 _Atomic can compile redis code, that brings a
lot of inconvenience since some common platforms can't support by default such
as CentOS7, so we want to implement redis atomic type to make it more portable.
We have implemented our atomic variable for redis that only has 'relaxed'
operations in src/atomicvar.h, so we implement some operations with
'sequentially-consistent', just like the default behavior of C11 _Atomic that
can establish inter-thread synchronization. And we replace all uses of C11
_Atomic with redis atomic variable.
Our implementation of redis atomic variable uses C11 _Atomic, __atomic or
__sync macros if available, it supports most common platforms, and we will
detect automatically which feature we use. In Makefile we use a dummy file to
detect if the compiler supports C11 _Atomic. Now for gcc, we can compile redis
code theoretically if your gcc version is not less than 4.1.2(starts to support
__sync_xxx operations). Otherwise, we remove use mutex fallback to implement
redis atomic variable for performance and test. You will get compiling errors
if your compiler doesn't support all features of above.
For cover redis atomic variable tests, we add other CI jobs that build redis on
CentOS6 and CentOS7 and workflow daily jobs that run the tests on them.
For them, we just install gcc by default in order to cover different compiler
versions, gcc is 4.4.7 by default installation on CentOS6 and 4.8.5 on CentOS7.
We restore the feature that we can test redis with Helgrind to find data race
errors. But you need install Valgrind in the default path configuration firstly
before running your tests, since we use macros in helgrind.h to tell Helgrind
inter-thread happens-before relationship explicitly for avoiding false positives.
Please open an issue on github if you find data race errors relate to this commit.
Unrelated:
- Fix redefinition of typedef 'RedisModuleUserChangedFunc'
For some old version compilers, they will report errors or warnings, if we
re-define function type.
Rather than blindly evicting until maxmemory limit is achieved, this
update adds a time limit to eviction. While over the maxmemory limit,
eviction will process before each command AND as a timeProc when no
commands are running.
This will reduce the latency impact on many cases, especially pathological
cases like massive used memory increase during dict rehashing.
There is a risk that some other edge cases (like massive pipelined use
of MGET) could cause Redis memory usage to keep growing despite the
eviction attempts, so a new maxmemory-eviction-tenacity config is
introduced to let users mitigate that.
1. add eviction-lazyfree monitor
2. put eviction-del & eviction-lazyfree into eviction-cycle
that means eviction-cycle contains all the latency in
the eviction cycle including del and lazyfree
3. use getMaxmemoryState to check if we can break in lazyfree-evict
cluster.c - stack buffer memory alignment
The pointer 'buf' is cast to a more strictly aligned pointer type
evict.c - lazyfree_lazy_eviction, lazyfree_lazy_eviction always called
defrag.c - bug in dead code
server.c - casting was missing parenthesis
rax.c - indentation / newline suggested an 'else if' was intended
When loading data, we call processEventsWhileBlocked
to process events and execute commands.
But if we are loading AOF it's dangerous, because
processCommand would call freeMemoryIfNeeded to evict,
and that will break data consistency, see issue #5686.
Note: this breaks backward compatibility with Redis 4, since now slaves
by default are exact copies of masters and do not try to evict keys
independently.
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.
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. 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.
It is possible to get better results by using the pool like in the LRU
case. Also from tests during the morning I believe the current
implementation has issues in the frequency decay function that should
decrease the counter at periodic intervals.
The LRU eviction code used to make local choices: for each DB visited it
selected the best key to evict. This was repeated for each DB. However
this means that there could be DBs with very frequently accessed keys
that are targeted by the LRU algorithm while there were other DBs with
many better candidates to expire.
This commit attempts to fix this problem for the LRU policy. However the
TTL policy is still not fixed by this commit. The TTL policy will be
fixed in a successive commit.
This is an initial (partial because of TTL policy) fix for issue #2647.
To destroy and recreate the pool[].key element is slow, so we allocate
in pool[].cached SDS strings that can account up to 255 chars keys and
try to reuse them. This provides a solid 20% performance improvement
in real world workload alike benchmarks.
We start from the end of the pool to the initial item, zero-ing
every entry we use or every ghost entry, there is nothing to memmove
since to the right everything should be already set to NULL.
