Redis性能测试，最近有人告诉我redis查询数据很慢，首先登录Redis机器进行了redis-benchmark本机性能测试，本机性能并不慢,并且生产我们自己系统部署的系统并不慢，不跨路由情况下也很快，然后ping了一下对方的主机，延迟时间是20ms左右，并且IP和redis主机IP不在一个网段，因此初步断定可能是跨网络传输......
[root@master src]# 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
-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 2)
-dbnum <db> SELECT the specified db number (default 0)
-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
--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.
[root@master ~]# cd /opt/
[root@master opt]# ls
alibaba-rocketmq
alibaba-rocketmq-3.2.6.tar.gz
apache-activemq-5.8.0
apache-activemq-5.8.0-bin.tar.gz
cacti-0.8.8b.tar.gz
flume1.6
grafana-2.5.0
grafana-2.5.0.linux-x64.tar.gz
hadoop
hadoop_data
haproxy-1.5.0
haproxy-1.5.0.tar.gz
httpd-2.2.23
httpd-2.2.23.tar.gz
libevent-1.4.14b-stable
libevent-1.4.14b-stable.tar.gz
memcached
memcached-1.4.25.tar.gz
mongodb
mongodb-linux-x86_64-1.6.3.tgz
nagios
nagios-3.4.3.tar.gz
nagios-plugins-1.4.13
nagios-plugins-1.4.13.tar.gz
php-5.4.10
php-5.4.10.tar.gz
sequoiadb-1.8-linux_x86_64-installer.run.tar.gz
solr-6.2.0
solr-6.2.0.tgz
SRC
tomcat
zookeeper-3.4.6
zookeeper-3.4.6.tar.gz
[root@master opt]# wget http://download.redis.io/releases/redis-3.2.6.tar.gz
--12:15:24-- http://download.redis.io/releases/redis-3.2.6.tar.gz
Resolving download.redis.io... 109.74.203.151
Connecting to download.redis.io|109.74.203.151|:80... connected.
HTTP request sent, awaiting response... 200 OK
Length: 1544806 (1.5M) [application/x-gzip]
Saving to: `redis-3.2.6.tar.gz'
100%[=============================>] 1,544,806 23.8K/s in 96s
12:17:05 (15.8 KB/s) - `redis-3.2.6.tar.gz' saved [1544806/1544806]
[root@master opt]# tar -zxvf redis-3.2.6.tar.gz
[root@master opt]# cd redis-3.2.6
[root@master redis-3.2.6]# ls
00-RELEASENOTES BUGS CONTRIBUTING COPYING deps INSTALL Makefile MANIFESTO README.md redis.conf runtest runtest-cluster runtest-sentinel sentinel.conf src tests utils
[root@master redis-3.2.6]# cd src/
[root@master src]# ls
[root@master src]# ./configure
-bash: ./configure: No such file or directory
[root@master src]# make && make install
[root@master src]# ./redis-server &
[1] 6808
[root@master src]# 6808:C 22 Dec 12:19:40.299 # Warning: no config file specified, using the default config. In order to specify a config file use ./redis-server /path/to/redis.conf
6808:M 22 Dec 12:19:40.300 * Increased maximum number of open files to 10032 (it was originally set to 1024).
_._
_.-``__ ''-._
_.-`` `. `_. ''-._ Redis 3.2.6 (00000000/0) 64 bit
.-`` .-```. ```\/ _.,_ ''-._
( ' , .-` | `, ) Running in standalone mode
|`-._`-...-` __...-.``-._|'` _.-'| Port: 6379
| `-._ `._ / _.-' | PID: 6808
`-._ `-._ `-./ _.-' _.-'
|`-._`-._ `-.__.-' _.-'_.-'|
| `-._`-._ _.-'_.-' | http://redis.io
`-._ `-._`-.__.-'_.-' _.-'
|`-._`-._ `-.__.-' _.-'_.-'|
| `-._`-._ _.-'_.-' |
`-._ `-._`-.__.-'_.-' _.-'
`-._ `-.__.-' _.-'
`-._ _.-'
`-.__.-'
6808:M 22 Dec 12:19:40.302 # WARNING: The TCP backlog setting of 511 cannot be enforced because /proc/sys/net/core/somaxconn is set to the lower value of 128.
6808:M 22 Dec 12:19:40.302 # Server started, Redis version 3.2.6
6808:M 22 Dec 12:19:40.303 # WARNING overcommit_memory is set to 0! Background save may fail under low memory condition. To fix this issue add 'vm.overcommit_memory = 1' to /etc/sysctl.conf and then reboot or run the command 'sysctl vm.overcommit_memory=1' for this to take effect.
6808:M 22 Dec 12:19:40.303 * The server is now ready to accept connections on port 6379
[root@master src]# ps -ef |grep redis
root 6808 3687 0 12:19 pts/0 00:00:00 ./redis-server *:6379
root 6812 3687 0 12:19 pts/0 00:00:00 grep redis
[root@master src]# ./redis-cli
127.0.0.1:6379> set name gaojingsong
OK
127.0.0.1:6379> get name
"gaojingsong"
127.0.0.1:6379>
[root@master src]# 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
-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 2)
-dbnum <db> SELECT the specified db number (default 0)
-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
--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 192.168.1.104 -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.
[root@master src]#
[root@master src]# ./redis-benchmark -h localhost -p 6379 -n 100000 -c 20
====== PING_INLINE ======
100000 requests completed in 3.07 seconds
20 parallel clients
3 bytes payload
keep alive: 1
87.71% <= 1 milliseconds
99.02% <= 2 milliseconds
99.50% <= 3 milliseconds
99.74% <= 4 milliseconds
99.90% <= 5 milliseconds
99.95% <= 6 milliseconds
99.98% <= 7 milliseconds
99.99% <= 8 milliseconds
99.99% <= 9 milliseconds
100.00% <= 10 milliseconds
100.00% <= 11 milliseconds
100.00% <= 11 milliseconds
32530.91 requests per second
====== PING_BULK ======
100000 requests completed in 3.01 seconds
20 parallel clients
3 bytes payload
keep alive: 1
88.97% <= 1 milliseconds
99.07% <= 2 milliseconds
99.51% <= 3 milliseconds
99.74% <= 4 milliseconds
99.84% <= 5 milliseconds
99.91% <= 6 milliseconds
99.97% <= 7 milliseconds
99.99% <= 8 milliseconds
100.00% <= 9 milliseconds
100.00% <= 10 milliseconds
33189.51 requests per second
6808:M 22 Dec 12:23:34.353 * 10000 changes in 60 seconds. Saving...
6808:M 22 Dec 12:23:34.373 * Background saving started by pid 6844
6844:C 22 Dec 12:23:34.402 * DB saved on disk
6844:C 22 Dec 12:23:34.404 * RDB: 0 MB of memory used by copy-on-write
6808:M 22 Dec 12:23:34.475 * Background saving terminated with success
====== SET ======
100000 requests completed in 3.23 seconds
20 parallel clients
3 bytes payload
keep alive: 1
87.45% <= 1 milliseconds
98.73% <= 2 milliseconds
99.45% <= 3 milliseconds
99.73% <= 4 milliseconds
99.87% <= 5 milliseconds
99.92% <= 6 milliseconds
99.94% <= 7 milliseconds
99.95% <= 8 milliseconds
99.96% <= 9 milliseconds
99.96% <= 10 milliseconds
99.98% <= 11 milliseconds
99.98% <= 12 milliseconds
99.98% <= 14 milliseconds
99.98% <= 16 milliseconds
99.98% <= 17 milliseconds
99.98% <= 19 milliseconds
99.99% <= 36 milliseconds
99.99% <= 37 milliseconds
100.00% <= 38 milliseconds
100.00% <= 38 milliseconds
30959.75 requests per second
====== GET ======
100000 requests completed in 3.12 seconds
20 parallel clients
3 bytes payload
keep alive: 1
87.80% <= 1 milliseconds
98.61% <= 2 milliseconds
99.31% <= 3 milliseconds
99.64% <= 4 milliseconds
99.82% <= 5 milliseconds
99.93% <= 6 milliseconds
99.98% <= 7 milliseconds
99.99% <= 8 milliseconds
100.00% <= 9 milliseconds
32102.73 requests per second
====== INCR ======
100000 requests completed in 3.00 seconds
20 parallel clients
3 bytes payload
keep alive: 1
87.90% <= 1 milliseconds
99.01% <= 2 milliseconds
99.59% <= 3 milliseconds
99.82% <= 4 milliseconds
99.90% <= 5 milliseconds
99.93% <= 6 milliseconds
99.97% <= 7 milliseconds
99.99% <= 8 milliseconds
100.00% <= 9 milliseconds
100.00% <= 10 milliseconds
100.00% <= 11 milliseconds
33311.12 requests per second
====== LPUSH ======
100000 requests completed in 3.77 seconds
20 parallel clients
3 bytes payload
keep alive: 1
83.81% <= 1 milliseconds
98.29% <= 2 milliseconds
99.14% <= 3 milliseconds
99.53% <= 4 milliseconds
99.71% <= 5 milliseconds
99.80% <= 6 milliseconds
99.89% <= 7 milliseconds
99.94% <= 8 milliseconds
99.96% <= 9 milliseconds
99.96% <= 10 milliseconds
99.97% <= 11 milliseconds
99.98% <= 12 milliseconds
99.99% <= 13 milliseconds
99.99% <= 14 milliseconds
99.99% <= 15 milliseconds
99.99% <= 16 milliseconds
100.00% <= 18 milliseconds
100.00% <= 19 milliseconds
100.00% <= 20 milliseconds
26546.32 requests per second
====== RPUSH ======
100000 requests completed in 3.48 seconds
20 parallel clients
3 bytes payload
keep alive: 1
84.31% <= 1 milliseconds
98.87% <= 2 milliseconds
99.48% <= 3 milliseconds
99.76% <= 4 milliseconds
99.86% <= 5 milliseconds
99.95% <= 6 milliseconds
99.97% <= 7 milliseconds
99.99% <= 8 milliseconds
100.00% <= 9 milliseconds
100.00% <= 9 milliseconds
28710.88 requests per second
====== LPOP ======
100000 requests completed in 3.66 seconds
20 parallel clients
3 bytes payload
keep alive: 1
84.67% <= 1 milliseconds
98.01% <= 2 milliseconds
99.04% <= 3 milliseconds
99.53% <= 4 milliseconds
99.74% <= 5 milliseconds
99.90% <= 6 milliseconds
99.93% <= 7 milliseconds
99.97% <= 8 milliseconds
99.99% <= 9 milliseconds
100.00% <= 10 milliseconds
100.00% <= 10 milliseconds
27292.58 requests per second
====== RPOP ======
100000 requests completed in 3.34 seconds
20 parallel clients
3 bytes payload
keep alive: 1
85.79% <= 1 milliseconds
98.94% <= 2 milliseconds
99.51% <= 3 milliseconds
99.74% <= 4 milliseconds
99.88% <= 5 milliseconds
99.94% <= 6 milliseconds
99.97% <= 7 milliseconds
99.98% <= 8 milliseconds
99.99% <= 9 milliseconds
100.00% <= 10 milliseconds
100.00% <= 10 milliseconds
29985.01 requests per second
====== SADD ======
100000 requests completed in 3.21 seconds
20 parallel clients
3 bytes payload
keep alive: 1
87.73% <= 1 milliseconds
98.89% <= 2 milliseconds
99.56% <= 3 milliseconds
99.79% <= 4 milliseconds
99.92% <= 5 milliseconds
99.95% <= 6 milliseconds
99.98% <= 7 milliseconds
99.98% <= 8 milliseconds
99.99% <= 9 milliseconds
99.99% <= 10 milliseconds
100.00% <= 11 milliseconds
100.00% <= 11 milliseconds
31133.25 requests per second
====== SPOP ======
100000 requests completed in 3.39 seconds
20 parallel clients
3 bytes payload
keep alive: 1
85.95% <= 1 milliseconds
98.79% <= 2 milliseconds
99.47% <= 3 milliseconds
99.76% <= 4 milliseconds
99.91% <= 5 milliseconds
99.97% <= 6 milliseconds
99.98% <= 7 milliseconds
100.00% <= 8 milliseconds
100.00% <= 8 milliseconds
29481.13 requests per second
====== LPUSH (needed to benchmark LRANGE) ======
100000 requests completed in 3.46 seconds
20 parallel clients
3 bytes payload
keep alive: 1
85.96% <= 1 milliseconds
98.75% <= 2 milliseconds
99.43% <= 3 milliseconds
99.73% <= 4 milliseconds
99.88% <= 5 milliseconds
99.95% <= 6 milliseconds
99.97% <= 7 milliseconds
99.99% <= 8 milliseconds
100.00% <= 9 milliseconds
100.00% <= 10 milliseconds
28860.03 requests per second
====== LRANGE_100 (first 100 elements) ======
100000 requests completed in 5.97 seconds
20 parallel clients
3 bytes payload
keep alive: 1
74.81% <= 1 milliseconds
97.10% <= 2 milliseconds
98.68% <= 3 milliseconds
99.24% <= 4 milliseconds
99.55% <= 5 milliseconds
99.73% <= 6 milliseconds
99.86% <= 7 milliseconds
99.92% <= 8 milliseconds
99.97% <= 9 milliseconds
99.99% <= 10 milliseconds
99.99% <= 11 milliseconds
99.99% <= 12 milliseconds
100.00% <= 13 milliseconds
100.00% <= 15 milliseconds
100.00% <= 16 milliseconds
100.00% <= 18 milliseconds
16747.61 requests per second
====== LRANGE_300 (first 300 elements) ======
100000 requests completed in 10.89 seconds
20 parallel clients
3 bytes payload
keep alive: 1
58.40% <= 1 milliseconds
87.58% <= 2 milliseconds
95.63% <= 3 milliseconds
97.59% <= 4 milliseconds
98.50% <= 5 milliseconds
99.01% <= 6 milliseconds
99.37% <= 7 milliseconds
99.54% <= 8 milliseconds
99.69% <= 9 milliseconds
99.77% <= 10 milliseconds
99.84% <= 11 milliseconds
99.88% <= 12 milliseconds
99.91% <= 13 milliseconds
99.94% <= 14 milliseconds
99.96% <= 15 milliseconds
99.98% <= 16 milliseconds
99.99% <= 17 milliseconds
100.00% <= 18 milliseconds
100.00% <= 18 milliseconds
9182.74 requests per second
6808:M 22 Dec 12:24:35.036 * 10000 changes in 60 seconds. Saving...
6808:M 22 Dec 12:24:35.041 * Background saving started by pid 6849
6849:C 22 Dec 12:24:35.090 * DB saved on disk
6849:C 22 Dec 12:24:35.096 * RDB: 0 MB of memory used by copy-on-write
6808:M 22 Dec 12:24:35.141 * Background saving terminated with success
====== LRANGE_500 (first 450 elements) ======
100000 requests completed in 16.20 seconds
20 parallel clients
3 bytes payload
keep alive: 1
44.40% <= 1 milliseconds
74.81% <= 2 milliseconds
87.82% <= 3 milliseconds
94.15% <= 4 milliseconds
96.68% <= 5 milliseconds
97.75% <= 6 milliseconds
98.40% <= 7 milliseconds
98.86% <= 8 milliseconds
99.20% <= 9 milliseconds
99.40% <= 10 milliseconds
99.54% <= 11 milliseconds
99.64% <= 12 milliseconds
99.72% <= 13 milliseconds
99.80% <= 14 milliseconds
99.84% <= 15 milliseconds
99.88% <= 16 milliseconds
99.91% <= 17 milliseconds
99.93% <= 18 milliseconds
99.95% <= 19 milliseconds
99.96% <= 20 milliseconds
99.97% <= 21 milliseconds
99.98% <= 23 milliseconds
99.98% <= 24 milliseconds
99.99% <= 25 milliseconds
99.99% <= 26 milliseconds
99.99% <= 27 milliseconds
99.99% <= 45 milliseconds
99.99% <= 46 milliseconds
100.00% <= 47 milliseconds
100.00% <= 48 milliseconds
100.00% <= 48 milliseconds
6171.32 requests per second
====== LRANGE_600 (first 600 elements) ======
100000 requests completed in 18.46 seconds
20 parallel clients
3 bytes payload
keep alive: 1
40.02% <= 1 milliseconds
71.38% <= 2 milliseconds
84.18% <= 3 milliseconds
91.95% <= 4 milliseconds
95.62% <= 5 milliseconds
97.24% <= 6 milliseconds
98.01% <= 7 milliseconds
98.56% <= 8 milliseconds
98.95% <= 9 milliseconds
99.20% <= 10 milliseconds
99.35% <= 11 milliseconds
99.46% <= 12 milliseconds
99.58% <= 13 milliseconds
99.67% <= 14 milliseconds
99.75% <= 15 milliseconds
99.80% <= 16 milliseconds
99.84% <= 17 milliseconds
99.89% <= 18 milliseconds
99.90% <= 19 milliseconds
99.92% <= 20 milliseconds
99.94% <= 21 milliseconds
99.95% <= 22 milliseconds
99.96% <= 23 milliseconds
99.96% <= 24 milliseconds
99.97% <= 25 milliseconds
99.97% <= 26 milliseconds
99.98% <= 27 milliseconds
99.98% <= 28 milliseconds
99.98% <= 29 milliseconds
99.99% <= 30 milliseconds
99.99% <= 31 milliseconds
99.99% <= 32 milliseconds
99.99% <= 33 milliseconds
100.00% <= 34 milliseconds
100.00% <= 35 milliseconds
100.00% <= 36 milliseconds
5415.94 requests per second
====== MSET (10 keys) ======
100000 requests completed in 3.76 seconds
20 parallel clients
3 bytes payload
keep alive: 1
82.57% <= 1 milliseconds
98.52% <= 2 milliseconds
99.29% <= 3 milliseconds
99.63% <= 4 milliseconds
99.84% <= 5 milliseconds
99.93% <= 6 milliseconds
99.97% <= 7 milliseconds
99.99% <= 8 milliseconds
100.00% <= 9 milliseconds
100.00% <= 9 milliseconds
26609.90 requests per second
[root@master src]# 6808:M 22 Dec 12:25:36.080 * 10000 changes in 60 seconds. Saving...
6808:M 22 Dec 12:25:36.081 * Background saving started by pid 6856
6856:C 22 Dec 12:25:36.087 * DB saved on disk
6856:C 22 Dec 12:25:36.087 * RDB: 0 MB of memory used by copy-on-write
6808:M 22 Dec 12:25:36.181 * Background saving terminated with success
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- **性能优化**：Redis所有的操作都在内存中完成，因此速度极快。但这也意味着需要合理规划内存使用，避免数据量过大导致内存溢出。 5. **应用案例** - **缓存**：Redis常被用作Web应用的缓存系统，以减少数据库...
Redis是一个高性能的键值数据库，广泛应用于缓存、消息队列和其他实时数据存储场景。PHP-REDIS扩展使得开发人员能够轻松地在PHP应用程序中利用Redis的强大功能。 1. **扩展兼容性** PHP-REDIS扩展专为PHP设计，...
- `redis-benchmark`：性能测试工具，可以测量Redis的读写速度和吞吐量。 五、安装与启动 在Linux系统上，解压压缩包后，可以通过以下命令启动Redis服务器： ```bash ./redis-server redis.conf ``` 然后使用`redis...
Redis是一种高性能的...通过实践这个项目，你不仅可以掌握Java与Redis的整合，还能了解到如何在实际项目中利用Redis优化数据访问效率。同时，参考CSDN博客文章提供的详细教程，将有助于你更好地理解和应用这些知识。