简介 English
Pika是一个可持久化的大容量redis存储服务,兼容string、hash、list、zset、set的绝大接口(兼容详情),解决redis由于存储数据量巨大而导致内存不够用的容量瓶颈,并且可以像redis一样,通过slaveof命令进行主从备份,支持全同步和部分同步,pika还可以用在twemproxy或者codis中来实现静态数据分片(不支持codis的slot migrate)
##Pika用户
- 容量大,支持百G数据量的存储
- 兼容redis,不用修改代码即可平滑从redis迁移到pika
- 支持主从(slaveof)
- 完善的运维命令
如果想快速试用pika,目前提供了Centos5,Centos6的binary版本,可以在release页面看到,具体文件是pikaX.Y.Z_centosK_bin.tar.gz。
# 1. 解压文件
tar zxf pikaX.Y.Z_centosK_bin.tar.gz
# 2. 切到output目录(rpath是./lib)
cd output
# 3. 运行pika:
./bin/pika -c conf/pika.conf
1.在编译机上安装snappy-devel bz2 libzip-dev libsnappy-dev libprotobuf-dev libevent-dev protobuf-compiler libgoogle-glog-dev protobuf-devel libevent-devel bzip2-devel l ibbz2-dev zlib-devel等。CentOS系统可以用yum安装,Ubuntu可以用apt-get安装。如是CentOS系统,执行如下命令:
yum install snappy-devel bz2 libzip-dev libsnappy-dev libprotobuf-dev libevent-dev protobuf-compiler libgoogle-glog-dev protobuf-devel libevent-devel bzip2- devel libbz2-dev zlib-devel
2.安装g++(若没有安装), 在CentOS上执行如下命令:
yum install gcc-c++
3.把gcc版本临时切换到4.8(若已是,则忽略), 在CentOs上执行如下命令:
a. sudo rpm --import http://ftp.scientificlinux.org/linux/scientific/5x/x86_64/RPM-GPG-KEYs/RPM-GPG-KEY-cern
b. sudo wget http://people.centos.org/tru/devtools-2/devtools-2.repo -O /etc/yum.repos.d/devtools-2.repo
c. sudo yum install -y devtoolset-2-gcc devtoolset-2-binutils devtoolset-2-gcc-c++
d. scl enable devtoolset-2 bash
4.获取源代码
git clone --recursive https://github.com/Qihoo360/pika.git && cd pika
5.编译
make __REL=1
若编译过程中,提示有依赖的库没有安装,则有提示安装后再重新编译
./output/bin/pika -c ./conf/pika.conf
若启动失败,把./lib/_VERSION/的内容拷贝到Makefile定义的rpath目录下,然后重新启动
cp PIKA_SOURCE/lib/_VERSION/* RPATH
PIKA_SOURCE表示的pika的源代码根目录; _VERSION表示的是编译机的CenOS版本,如6.2, 5.4... RPATH在Makefile定义,表示的是程序运行的库预先加载路径
###测试环境:
相同配置服务端、客户机各一台:
处理器:24核 Intel(R) Xeon(R) CPU E5-2630 v2 @ 2.60GHz
内存:165157944 kB
操作系统:CentOS release 6.2 (Final)
网卡:Intel Corporation I350 Gigabit Network Connection
###测试接口:
Set、Get
###测试方法:
pika配16个worker,客户机执行 ./redis-benchmark -h ... -p ... -n 1000000000 -t set,get -r 10000000000 -c 120 -d 200
通过set和get接口对pika进行10亿次写入+10亿次读取
###测试结果:
Set
1000000000 requests completed in 11890.80 seconds
18.09% <= 1 milliseconds
93.32% <= 2 milliseconds
99.71% <= 3 milliseconds
99.86% <= 4 milliseconds
99.92% <= 5 milliseconds
99.94% <= 6 milliseconds
99.96% <= 7 milliseconds
99.97% <= 8 milliseconds
99.97% <= 9 milliseconds
99.98% <= 10 milliseconds
99.98% <= 11 milliseconds
99.99% <= 12 milliseconds
...
100.00% <= 19 milliseconds
...
100.00% <= 137 milliseconds
84098.66 requests per second
Get
1000000000 requests completed in 9063.05 seconds
84.97% <= 1 milliseconds
99.76% <= 2 milliseconds
99.99% <= 3 milliseconds
100.00% <= 4 milliseconds
...
100.00% <= 33 milliseconds
110338.10 requests per second
###与SSDB性能对比(详情)
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