前言
redis-benchmark与memtier_benchmark两个工具都可以用来做压测
一、redis-benchmark
redis-benchmark在redis6.0.6提供的工具.具有了多线程的功能,执行redis-benchmark --help可以具体的使用信息
root@4e1c5c3a1f9d:/data# redis-benchmark --help
Usage: redis-benchmark [-h <host>] [-p <port>] [-c <clients>] [-n <requests>] [-k <boolean>]
-h <hostname> Server hostname (default 127.0.0.1)
-p <port> Server port (default 6379)
-s <socket> Server socket (overrides host and port)
-a <password> Password for Redis Auth
--user <username> Used to send ACL style 'AUTH username pass'. Needs -a.
-c <clients> Number of parallel connections (default 50)
-n <requests> Total number of requests (default 100000)
-d <size> Data size of SET/GET value in bytes (default 3)
--dbnum <db> SELECT the specified db number (default 0)
--threads <num> Enable multi-thread mode.
--cluster Enable cluster mode.
--enable-tracking Send CLIENT TRACKING on before starting benchmark.
-k <boolean> 1=keep alive 0=reconnect (default 1)
-r <keyspacelen> Use random keys for SET/GET/INCR, random values for SADD
Using this option the benchmark will expand the string __rand_int__
inside an argument with a 12 digits number in the specified range
from 0 to keyspacelen-1. The substitution changes every time a command
is executed. Default tests use this to hit random keys in the
specified range.
-P <numreq> Pipeline <numreq> requests. Default 1 (no pipeline).
-e If server replies with errors, show them on stdout.
(no more than 1 error per second is displayed)
-q Quiet. Just show query/sec values
--precision Number of decimal places to display in latency output (default 0)
--csv Output in CSV format
-l Loop. Run the tests forever
-t <tests> Only run the comma separated list of tests. The test
names are the same as the ones produced as output.
-I Idle mode. Just open N idle connections and wait.
Examples:
Run the benchmark with the default configuration against 127.0.0.1:6379:
$ redis-benchmark
Use 20 parallel clients, for a total of 100k requests, against 192.168.1.1:
$ redis-benchmark -h 192.168.1.1 -p 6379 -n 100000 -c 20
Fill 127.0.0.1:6379 with about 1 million keys only using the SET test:
$ redis-benchmark -t set -n 1000000 -r 100000000
Benchmark 127.0.0.1:6379 for a few commands producing CSV output:
$ redis-benchmark -t ping,set,get -n 100000 --csv
Benchmark a specific command line:
$ redis-benchmark -r 10000 -n 10000 eval 'return redis.call("ping")' 0
Fill a list with 10000 random elements:
$ redis-benchmark -r 10000 -n 10000 lpush mylist __rand_int__
On user specified command lines __rand_int__ is replaced with a random integer
with a range of values selected by the -r option.简单说明:
-q 仅仅显示redis-benchmark的requests per second信息
-P 代表每个请求pipeline的数据量（默认为1）
-k 代表客户端是否使用keepalive， 1为使用， 0为不使用， 默认值为1
-t 可以对指定命令进行基准测试 例如：redis-benchmark -t get,set
--csv 选项会将结果按照csv格式输出， 便于后续处理， 如导出到Excel使用:
redis-benchmark -h 127.0.0.1 -p 6379 -a 123456 -c 100 --cluster -n 100000 -r 1000 -d 100 -q --threads 16 -t get,set,incr,hset
解释:对redis集群(ip:127.0.0.1 port: 6379 pwd:123456 )进行压测.启动16个线程,100个客户端,1000000个key（千位之内随机数）每个key100字节，测试set/get/incr/hset命令执行的qps结果
二、memtier_benchmark
memtier_benchmark是Redis Labs推出的一款命令行工具
安装参考文章:http://ghoulich.xninja.org/2016/12/11/how-to-use-memtier-benchmark-to-measure-redis-performance/
1. 安装编译环境和依赖包
## 安装编译环境
yum install -y autoconf automake make gcc-c++
## 安装依赖包
yum install -y pcre-devel zlib-devel libmemcached-devel wget git
2. 编译安装libevent
cd /Downloads
wget https://github.com/libevent/libevent/releases/download/release-2.0.22-stable/libevent-2.0.22-stable.tar.gz
tar xvzf libevent-2.0.22-stable.tar.gz
cd libevent-2.0.22-stable
./configure
make && make install
3. 更新库文件配置
echo "export PKG_CONFIG_PATH=/usr/local/lib/pkgconfig:\${PKG_CONFIG_PATH}" >> /etc/profile
source /etc/profile
ldconfig /usr/local/lib
4. 编译安装memtier_benchmark工具
cd /Downloads
git clone https://github.com/RedisLabs/memtier_benchmark.git
cd memtier_benchmark
autoreconf -ivf
./configure --prefix=/usr/local/memtier
make && make install
echo "export PATH=/usr/local/memtier/bin:\${PATH}" >> /etc/profile
source /etc/profile
5. 验证安装
memtier_benchmark --help查看命令使用说明
[root@sza232073 ~]# memtier_benchmark --help
Usage: memtier_benchmark [options]
A memcache/redis NoSQL traffic generator and performance benchmarking tool.
Connection and General Options:
-s, --server=ADDR Server address (default: localhost)
-p, --port=PORT Server port (default: 6379)
-S, --unix-socket=SOCKET UNIX Domain socket name (default: none)
-P, --protocol=PROTOCOL Protocol to use (default: redis). Other
supported protocols are memcache_text,
memcache_binary.
-a, --authenticate=CREDENTIALS Authenticate using specified credentials.
A simple password is used for memcache_text
and Redis <= 5.x. <USER>:<PASSWORD> can be
specified for memcache_binary or Redis 6.x
or newer with ACL user support.
--tls Enable SSL/TLS transport security
--cert=FILE Use specified client certificate for TLS
--key=FILE Use specified private key for TLS
--cacert=FILE Use specified CA certs bundle for TLS
--tls-skip-verify Skip verification of server certificate
--sni=STRING Add an SNI header
-x, --run-count=NUMBER Number of full-test iterations to perform
-D, --debug Print debug output
--client-stats=FILE Produce per-client stats file
--out-file=FILE Name of output file (default: stdout)
--json-out-file=FILE Name of JSON output file, if not set, will not print to json
--show-config Print detailed configuration before running
--hide-histogram Don't print detailed latency histogram
--cluster-mode Run client in cluster mode
--help Display this help
--version Display version information
Test Options:
-n, --requests=NUMBER Number of total requests per client (default: 10000)
use 'allkeys' to run on the entire key-range
-c, --clients=NUMBER Number of clients per thread (default: 50)
-t, --threads=NUMBER Number of threads (default: 4)
--test-time=SECS Number of seconds to run the test
--ratio=RATIO Set:Get ratio (default: 1:10)
--pipeline=NUMBER Number of concurrent pipelined requests (default: 1)
--reconnect-interval=NUM Number of requests after which re-connection is performed
--multi-key-get=NUM Enable multi-key get commands, up to NUM keys (default: 0)
--select-db=DB DB number to select, when testing a redis server
--distinct-client-seed Use a different random seed for each client
--randomize random seed based on timestamp (default is constant value)
Arbitrary command:
--command=COMMAND Specify a command to send in quotes.
Each command that you specify is run with its ratio and key-pattern options.
For example: --command="set __key__ 5" --command-ratio=2 --command-key-pattern=G
To use a generated key or object, enter:
__key__: Use key generated from Key Options.
__data__: Use data generated from Object Options.
--command-ratio The number of times the command is sent in sequence.(default: 1)
--command-key-pattern Key pattern for the command (default: R):
G for Gaussian distribution.
R for uniform Random.
S for Sequential.
P for Parallel (Sequential were each client has a subset of the key-range).
Object Options:
-d --data-size=SIZE Object data size (default: 32)
--data-offset=OFFSET Actual size of value will be data-size + data-offset
Will use SETRANGE / GETRANGE (default: 0)
-R --random-data Indicate that data should be randomized
--data-size-range=RANGE Use random-sized items in the specified range (min-max)
--data-size-list=LIST Use sizes from weight list (size1:weight1,..sizeN:weightN)
--data-size-pattern=R|S Use together with data-size-range
when set to R, a random size from the defined data sizes will be used,
when set to S, the defined data sizes will be evenly distributed across
the key range, see --key-maximum (default R)
--expiry-range=RANGE Use random expiry values from the specified range
Imported Data Options:
--data-import=FILE Read object data from file
--data-verify Enable data verification when test is complete
--verify-only Only perform --data-verify, without any other test
--generate-keys Generate keys for imported objects
--no-expiry Ignore expiry information in imported data
Key Options:
--key-prefix=PREFIX Prefix for keys (default: "memtier-")
--key-minimum=NUMBER Key ID minimum value (default: 0)
--key-maximum=NUMBER Key ID maximum value (default: 10000000)
--key-pattern=PATTERN Set:Get pattern (default: R:R)
G for Gaussian distribution.
R for uniform Random.
S for Sequential.
P for Parallel (Sequential were each client has a subset of the key-range).
--key-stddev The standard deviation used in the Gaussian distribution
(default is key range / 6)
--key-median The median point used in the Gaussian distribution
(default is the center of the key range)
WAIT Options:
--wait-ratio=RATIO Set:Wait ratio (default is no WAIT commands - 1:0)
--num-slaves=RANGE WAIT for a random number of slaves in the specified range
--wait-timeout=RANGE WAIT for a random number of milliseconds in the specified range (normal
distribution with the center in the middle of the range)使用1:对集群压测
memtier_benchmark -s 127.0.0.1 -p 6379 -a 123456 --cluster-mode -c 100 -R -d 100 -t 16 --ratio=1:1 -n 1000 --out-file=result.txt
解释:对redis集群(ip:127.0.0.1 port: 6379 pwd:123456 )进行压测.启动16个线程,100个客户端,（随机数）每个key对应的value100字节，执行16*100*1000个key,测试set/get命令执行结果输出到result.txt文件中
memtier_benchmark -s 127.0.0.1 -p 6379 -a 123456 --cluster-mode -c 100 -R -d 100 -t 16 --ratio=1:1 --test-time=60 --out-file=result.txt
解释:对redis集群(ip:127.0.0.1 port: 6379 pwd:123456 )进行压测.启动16个线程,100个客户端,（随机数）每个key对应的value100字节,执行1分钟，测试set/get命令执行结果输出到result.txt文件中
使用2:对单机压测
唯一与上边不同的是可以通过--command指定命令,-key-prefix定义key的前缀,--key-minimum --key-maximum定义随机数的范围,也可以不指定,按照上边压测去掉--cluster-mode
memtier_benchmark -s 127.0.0.1 -p 6379 -a 123456 -t 16 -c 100 -n 1000 --distinct-client-seed --command="set __key__ __data__" --key-prefix="kv_" --key-minimum=1 --key-maximum=10000 -R -d 100
注:
1. -n 与 --test-time 两个参数不能同时使用,要么指定数量要么指定时间
2.--cluster-mode与--command不能同时使用(我测试是不能,若可以可以留下评论)
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