Adds an option to build RDMA support as a module:
make BUILD_RDMA=module
To start valkey-server with RDMA, use a command line like the following:
./src/valkey-server --loadmodule src/valkey-rdma.so \
port=6379 bind=xx.xx.xx.xx
* Implement server side of connection module only, this means we can
*NOT*
compile RDMA support as built-in.
* Add necessary information in README.md
* Support 'CONFIG SET/GET', for example, 'CONFIG Set rdma.port 6380',
then
check this by 'rdma res show cm_id' and valkey-cli (with RDMA support,
but not implemented in this patch).
* The full listeners show like:
listener0:name=tcp,bind=*,bind=-::*,port=6379
listener1:name=unix,bind=/var/run/valkey.sock
listener2:name=rdma,bind=xx.xx.xx.xx,bind=yy.yy.yy.yy,port=6379
listener3:name=tls,bind=*,bind=-::*,port=16379
Because the lack of RDMA support from TCL, use a simple C program to
test
Valkey Over RDMA (under tests/rdma/). This is a quite raw version with
basic
library dependence: libpthread, libibverbs, librdmacm. Run using the
script:
./runtest-rdma [ OPTIONS ]
To run RDMA in GitHub actions, a kernel module RXE for emulated soft
RDMA, needs
to be installed. The kernel module source code is fetched a repo
containing only
the RXE kernel driver from the Linux kernel, but stored in an separate
repo to
avoid cloning the whole Linux kernel repo.
----
Since 2021/06, I created a
[PR](https://github.com/redis/redis/pull/9161) for *Redis Over RDMA*
proposal. Then I did some work to [fully abstract connection and make
TLS dynamically loadable](https://github.com/redis/redis/pull/9320), a
new connection type could be built into Redis statically, or a separated
shared library(loaded by Redis on startup) since Redis 7.2.0.
Base on the new connection framework, I created a new
[PR](https://github.com/redis/redis/pull/11182), some
guys(@xiezhq-hermann @zhangyiming1201 @JSpewock @uvletter @FujiZ)
noticed, played and tested this PR. However, because of the lack of time
and knowledge from the maintainers, this PR has been pending about 2
years.
Related doc: [Introduce *Valkey Over RDMA*
specification](https://github.com/valkey-io/valkey-doc/pull/123). (same
as Redis, and this should be same)
Changes in this PR:
- implement *Valkey Over RDMA*. (compact the Valkey style)
Finally, if this feature is considered to merge, I volunteer to maintain
it.
---------
Signed-off-by: zhenwei pi <pizhenwei@bytedance.com>
Normally we can create a test cluster directly in the directory
using `./utils/create-cluster/create-cluster`, which would keep
the test files under `./` and messed up the git.
Signed-off-by: Binbin <binloveplay1314@qq.com>
There are currently three block types: BLOCKED_WAIT, BLOCKED_WAITAOF,
and BLOCKED_WAIT_PREREPL, used to block clients executing `WAIT`,
`WAITAOF`, and `CLUSTER SETSLOT`, respectively. They share the same
workflow: the client is blocked until replication to the expected number
of replicas completes. However, they provide different responses
depending on the commands involved. Using distinct block types leads to
code duplication and reduced readability. This PR consolidates the three
types into a single WAIT type, differentiating them using the pending
command to ensure the appropriate response is returned.
Fix#427
---------
Signed-off-by: Ping Xie <pingxie@google.com>
The core idea was to take a lot of the stuff from the C unity framework
and adapt it a bit here. Each file in the `unit` directory that starts
with `test_` is automatically assumed to be a test suite. Within each
file, all functions that start with `test_` are assumed to be a test.
See unit/README.md for details about the implementation.
Instead of compiling basically a net new binary, the way the tests are
compiled is that the main valkey server is compiled as a static archive,
which we then compile the individual test files against to create a new
test executable. This is not all that important now, other than it makes
the compilation simpler, but what it will allow us to do is overwrite
functions in the archive to enable mocking for cross compilation unit
functions. There are also ways to enable mocking from within the same
compilation unit, but I don't know how important this is.
Tests are also written in one of two styles:
1. Including the header file and directly calling functions from the
archive.
2. Importing the original file, and then calling the functions. This
second approach is cool because we can call static functions. It won't
mess up the archive either.
---------
Signed-off-by: Madelyn Olson <madelyneolson@gmail.com>
Remove trademarked wording on configuration layer.
Following changes for release notes:
1. Rename redis.conf to valkey.conf
2. Pre-filled config in the template config file: Changing pidfile to `/var/run/valkey_6379.pid`
Signed-off-by: Harkrishn Patro <harkrisp@amazon.com>
Documentation references should use `Valkey` while server and cli
references are all under `valkey`.
---------
Signed-off-by: Madelyn Olson <madelyneolson@gmail.com>
All commands / use cases that heavily rely on double to a string representation conversion,
(e.g. meaning take a double-precision floating-point number like 1.5 and return a string like "1.5" ),
could benefit from a performance boost by swapping snprintf(buf,len,"%.17g",value) by the
equivalent [fpconv_dtoa](https://github.com/night-shift/fpconv) or any other algorithm that ensures
100% coverage of conversion.
This is a well-studied topic and Projects like MongoDB. RedPanda, PyTorch leverage libraries
( fmtlib ) that use the optimized double to string conversion underneath.
The positive impact can be substantial. This PR uses the grisu2 approach ( grisu explained on
https://www.cs.tufts.edu/~nr/cs257/archive/florian-loitsch/printf.pdf section 5 ).
test suite changes:
Despite being compatible, in some cases it produces a different result from printf, and some tests
had to be adjusted.
one case is that `%.17g` (which means %e or %f which ever is shorter), chose to use `5000000000`
instead of 5e+9, which sounds like a bug?
In other cases, we changed TCL to compare numbers instead of strings to ignore minor rounding
issues (`expr 0.8 == 0.79999999999999999`)
# Short description
The Redis extended latency stats track per command latencies and enables:
- exporting the per-command percentile distribution via the `INFO LATENCYSTATS` command.
**( percentile distribution is not mergeable between cluster nodes ).**
- exporting the per-command cumulative latency distributions via the `LATENCY HISTOGRAM` command.
Using the cumulative distribution of latencies we can merge several stats from different cluster nodes
to calculate aggregate metrics .
By default, the extended latency monitoring is enabled since the overhead of keeping track of the
command latency is very small.
If you don't want to track extended latency metrics, you can easily disable it at runtime using the command:
- `CONFIG SET latency-tracking no`
By default, the exported latency percentiles are the p50, p99, and p999.
You can alter them at runtime using the command:
- `CONFIG SET latency-tracking-info-percentiles "0.0 50.0 100.0"`
## Some details:
- The total size per histogram should sit around 40 KiB. We only allocate those 40KiB when a command
was called for the first time.
- With regards to the WRITE overhead As seen below, there is no measurable overhead on the achievable
ops/sec or full latency spectrum on the client. Including also the measured redis-benchmark for unstable
vs this branch.
- We track from 1 nanosecond to 1 second ( everything above 1 second is considered +Inf )
## `INFO LATENCYSTATS` exposition format
- Format: `latency_percentiles_usec_<CMDNAME>:p0=XX,p50....`
## `LATENCY HISTOGRAM [command ...]` exposition format
Return a cumulative distribution of latencies in the format of a histogram for the specified command names.
The histogram is composed of a map of time buckets:
- Each representing a latency range, between 1 nanosecond and roughly 1 second.
- Each bucket covers twice the previous bucket's range.
- Empty buckets are not printed.
- Everything above 1 sec is considered +Inf.
- At max there will be log2(1000000000)=30 buckets
We reply a map for each command in the format:
`<command name> : { `calls`: <total command calls> , `histogram` : { <bucket 1> : latency , < bucket 2> : latency, ... } }`
Co-authored-by: Oran Agra <oran@redislabs.com>
Implement Multi-Part AOF mechanism to avoid overheads during AOFRW.
Introducing a folder with multiple AOF files tracked by a manifest file.
The main issues with the the original AOFRW mechanism are:
* buffering of commands that are processed during rewrite (consuming a lot of RAM)
* freezes of the main process when the AOFRW completes to drain the remaining part of the buffer and fsync it.
* double disk IO for the data that arrives during AOFRW (had to be written to both the old and new AOF files)
The main modifications of this PR:
1. Remove the AOF rewrite buffer and related code.
2. Divide the AOF into multiple files, they are classified as two types, one is the the `BASE` type,
it represents the full amount of data (Maybe AOF or RDB format) after each AOFRW, there is only
one `BASE` file at most. The second is `INCR` type, may have more than one. They represent the
incremental commands since the last AOFRW.
3. Use a AOF manifest file to record and manage these AOF files mentioned above.
4. The original configuration of `appendfilename` will be the base part of the new file name, for example:
`appendonly.aof.1.base.rdb` and `appendonly.aof.2.incr.aof`
5. Add manifest-related TCL tests, and modified some existing tests that depend on the `appendfilename`
6. Remove the `aof_rewrite_buffer_length` field in info.
7. Add `aof-disable-auto-gc` configuration. By default we're automatically deleting HISTORY type AOFs.
It also gives users the opportunity to preserve the history AOFs. just for testing use now.
8. Add AOFRW limiting measure. When the AOFRW failures reaches the threshold (3 times now),
we will delay the execution of the next AOFRW by 1 minute. If the next AOFRW also fails, it will be
delayed by 2 minutes. The next is 4, 8, 16, the maximum delay is 60 minutes (1 hour). During the limit
period, we can still use the 'bgrewriteaof' command to execute AOFRW immediately.
9. Support upgrade (load) data from old version redis.
10. Add `appenddirname` configuration, as the directory name of the append only files. All AOF files and
manifest file will be placed in this directory.
11. Only the last AOF file (BASE or INCR) can be truncated. Otherwise redis will exit even if
`aof-load-truncated` is enabled.
Co-authored-by: Oran Agra <oran@redislabs.com>
This also makes it backward compatible in the usage, but for the command
name. However the old command name was less obvious so it is worth to
break it probably.
With the new setup the program main can perform argument parsing and
everything else useful for an RDB check regardless of the Redis server
itself.
Redis gitignore was too aggressive since simply broken.
Jemalloc gitignore was too agressive because it is conceived to just
keep the files that allow to generate all the rest in development
environments (so for instance the "configure" file is excluded).
This commit implements the first, beta quality implementation of Redis
Sentinel, a distributed monitoring system for Redis with notification
and automatic failover capabilities.
More info at http://redis.io/topics/sentinel
This change moves the build instructions for dependencies to a separate
Makefile in deps/. The ARCH environment variable is stored in a
.make-arch file in the same directory as the Makefile. The contents of
this file is read and compared to the current ARCH, and, on a mismatch
triggers rebuilding the entire source tree.
When file .make-arch exists and matches with ARCH from the environment,
the dependencies are assumed to already be built.
The new "clean" target only cleans the Redis source tree, not its
dependencies. To clear the dependencies as well, the "distclean" target
can be used.
