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
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root@4e1c5c3a1f9d:/data# redis-benchmark --help
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Usage: redis-benchmark [-h <host>] [-p <port>] [-c <clients>] [-n <requests>] [-k <boolean>]
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-h <hostname> Server hostname (default 127.0.0.1)
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-p <port> Server port (default 6379)
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-s <socket> Server socket (overrides host and port)
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-a <password> Password for Redis Auth
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--user <username> Used to send ACL style 'AUTH username pass'. Needs -a.
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-c <clients> Number of parallel connections (default 50)
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-n <requests> Total number of requests (default 100000)
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-d <size> Data size of SET/GET value in bytes (default 3)
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--dbnum <db> SELECT the specified db number (default 0)
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--threads <num> Enable multi-thread mode.
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--cluster Enable cluster mode.
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--enable-tracking Send CLIENT TRACKING on before starting benchmark.
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-k <boolean> 1=keep alive 0=reconnect (default 1)
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-r <keyspacelen> Use random keys for SET/GET/INCR, random values for SADD
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Using this option the benchmark will expand the string __rand_int__
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inside an argument with a 12 digits number in the specified range
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from 0 to keyspacelen-1. The substitution changes every time a command
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is executed. Default tests use this to hit random keys in the
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specified range.
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-P <numreq> Pipeline <numreq> requests. Default 1 (no pipeline).
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-e If server replies with errors, show them on stdout.
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(no more than 1 error per second is displayed)
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-q Quiet. Just show query/sec values
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--precision Number of decimal places to display in latency output (default 0)
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--csv Output in CSV format
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-l Loop. Run the tests forever
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-t <tests> Only run the comma separated list of tests. The test
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names are the same as the ones produced as output.
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-I Idle mode. Just open N idle connections and wait.
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Examples:
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Run the benchmark with the default configuration against 127.0.0.1:6379:
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$ redis-benchmark
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Use 20 parallel clients, for a total of 100k requests, against 192.168.1.1:
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$ redis-benchmark -h 192.168.1.1 -p 6379 -n 100000 -c 20
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Fill 127.0.0.1:6379 with about 1 million keys only using the SET test:
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$ redis-benchmark -t set -n 1000000 -r 100000000
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Benchmark 127.0.0.1:6379 for a few commands producing CSV output:
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$ redis-benchmark -t ping,set,get -n 100000 --csv
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Benchmark a specific command line:
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$ redis-benchmark -r 10000 -n 10000 eval 'return redis.call("ping")' 0
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Fill a list with 10000 random elements:
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$ redis-benchmark -r 10000 -n 10000 lpush mylist __rand_int__
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On user specified command lines __rand_int__ is replaced with a random integer
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with a range of values selected by the -r option.
简单说明:
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-q 仅仅显示redis-benchmark的requests per second信息
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-P 代表每个请求pipeline的数据量(默认为1)
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-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
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-t 可以对指定命令进行基准测试 例如:redis-benchmark -t get,set
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--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/
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1. 安装编译环境和依赖包
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## 安装编译环境
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yum install -y autoconf automake make gcc-c++
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## 安装依赖包
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yum install -y pcre-devel zlib-devel libmemcached-devel wget git
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2. 编译安装libevent
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cd /Downloads
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wget https://github.com/libevent/libevent/releases/download/release-2.0.22-stable/libevent-2.0.22-stable.tar.gz
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tar xvzf libevent-2.0.22-stable.tar.gz
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cd libevent-2.0.22-stable
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./configure
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make && make install
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3. 更新库文件配置
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echo "export PKG_CONFIG_PATH=/usr/local/lib/pkgconfig:\${PKG_CONFIG_PATH}" >> /etc/profile
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source /etc/profile
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ldconfig /usr/ local/lib
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4. 编译安装memtier_benchmark工具
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cd /Downloads
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git clone https://github.com/RedisLabs/memtier_benchmark.git
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cd memtier_benchmark
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autoreconf -ivf
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./configure --prefix=/usr/ local/memtier
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make && make install
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echo "export PATH=/usr/local/memtier/bin:\${PATH}" >> /etc/profile
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source /etc/profile
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5. 验证安装
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memtier_benchmark -- help
查看命令使用说明
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[root@sza232073 ~] # memtier_benchmark --help
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Usage: memtier_benchmark [options]
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A memcache/redis NoSQL traffic generator and performance benchmarking tool.
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Connection and General Options:
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-s, --server=ADDR Server address (default: localhost)
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-p, --port=PORT Server port (default: 6379)
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-S, --unix-socket=SOCKET UNIX Domain socket name (default: none)
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-P, --protocol=PROTOCOL Protocol to use (default: redis). Other
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supported protocols are memcache_text,
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memcache_binary.
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-a, --authenticate=CREDENTIALS Authenticate using specified credentials.
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A simple password is used for memcache_text
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and Redis <= 5.x. <USER>:<PASSWORD> can be
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specified for memcache_binary or Redis 6.x
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or newer with ACL user support.
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--tls Enable SSL/TLS transport security
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--cert=FILE Use specified client certificate for TLS
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--key=FILE Use specified private key for TLS
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--cacert=FILE Use specified CA certs bundle for TLS
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--tls-skip-verify Skip verification of server certificate
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--sni=STRING Add an SNI header
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-x, --run-count=NUMBER Number of full-test iterations to perform
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-D, --debug Print debug output
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--client-stats=FILE Produce per-client stats file
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--out-file=FILE Name of output file (default: stdout)
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--json-out-file=FILE Name of JSON output file, if not set, will not print to json
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--show-config Print detailed configuration before running
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--hide-histogram Don 't print detailed latency histogram
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--cluster-mode Run client in cluster mode
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--help Display this help
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--version Display version information
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Test Options:
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-n, --requests=NUMBER Number of total requests per client (default: 10000)
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use 'allkeys' to run on the entire key-range
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-c, --clients=NUMBER Number of clients per thread (default: 50)
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-t, --threads=NUMBER Number of threads (default: 4)
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--test-time=SECS Number of seconds to run the test
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--ratio=RATIO Set:Get ratio (default: 1:10)
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--pipeline=NUMBER Number of concurrent pipelined requests (default: 1)
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--reconnect-interval=NUM Number of requests after which re-connection is performed
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--multi-key-get=NUM Enable multi-key get commands, up to NUM keys (default: 0)
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--select-db=DB DB number to select, when testing a redis server
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--distinct-client-seed Use a different random seed for each client
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--randomize random seed based on timestamp (default is constant value)
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Arbitrary command:
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--command=COMMAND Specify a command to send in quotes.
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Each command that you specify is run with its ratio and key-pattern options.
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For example: --command="set __key__ 5" --command-ratio=2 --command-key-pattern=G
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To use a generated key or object, enter:
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__key__: Use key generated from Key Options.
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__data__: Use data generated from Object Options.
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--command-ratio The number of times the command is sent in sequence.(default: 1)
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--command-key-pattern Key pattern for the command (default: R):
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G for Gaussian distribution.
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R for uniform Random.
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S for Sequential.
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P for Parallel (Sequential were each client has a subset of the key-range).
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Object Options:
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-d --data-size=SIZE Object data size (default: 32)
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--data-offset=OFFSET Actual size of value will be data-size + data-offset
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Will use SETRANGE / GETRANGE (default: 0)
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-R --random-data Indicate that data should be randomized
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--data-size-range=RANGE Use random-sized items in the specified range (min-max)
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--data-size-list=LIST Use sizes from weight list (size1:weight1,..sizeN:weightN)
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--data-size-pattern=R|S Use together with data-size-range
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when set to R, a random size from the defined data sizes will be used,
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when set to S, the defined data sizes will be evenly distributed across
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the key range, see --key-maximum (default R)
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--expiry-range=RANGE Use random expiry values from the specified range
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Imported Data Options:
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--data-import=FILE Read object data from file
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--data-verify Enable data verification when test is complete
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--verify-only Only perform --data-verify, without any other test
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--generate-keys Generate keys for imported objects
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--no-expiry Ignore expiry information in imported data
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Key Options:
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--key-prefix=PREFIX Prefix for keys (default: "memtier-")
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--key-minimum=NUMBER Key ID minimum value (default: 0)
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--key-maximum=NUMBER Key ID maximum value (default: 10000000)
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--key-pattern=PATTERN Set:Get pattern (default: R:R)
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G for Gaussian distribution.
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R for uniform Random.
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S for Sequential.
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P for Parallel (Sequential were each client has a subset of the key-range).
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--key-stddev The standard deviation used in the Gaussian distribution
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(default is key range / 6)
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--key-median The median point used in the Gaussian distribution
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(default is the center of the key range)
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WAIT Options:
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--wait-ratio=RATIO Set:Wait ratio (default is no WAIT commands - 1:0)
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--num-slaves=RANGE WAIT for a random number of slaves in the specified range
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--wait-timeout=RANGE WAIT for a random number of milliseconds in the specified range (normal
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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)