Redis启动后基础知识

川长思鸟来 2022-09-26 14:56 96阅读 0赞

# Redis启动后基础知识 #

## 1、性能测试 ##

$ cd /usr/local/bin/
    $ redis-benchmark 
    ====== PING_INLINE ======
      100000 requests completed in 1.18 seconds
      50 parallel clients
      3 bytes payload
      keep alive: 1
    
    99.89% <= 1 milliseconds
    100.00% <= 1 milliseconds
    84745.77 requests per second
    
    ====== PING_BULK ======
      100000 requests completed in 1.20 seconds
      50 parallel clients
      3 bytes payload
      keep alive: 1
    
    99.91% <= 1 milliseconds
    100.00% <= 1 milliseconds
    83194.67 requests per second
    
    ====== SET ======
      100000 requests completed in 1.21 seconds
      50 parallel clients
      3 bytes payload
      keep alive: 1
    
    99.74% <= 1 milliseconds
    99.98% <= 2 milliseconds
    100.00% <= 2 milliseconds
    82712.98 requests per second
    
    ====== GET ======
      100000 requests completed in 1.21 seconds
      50 parallel clients
      3 bytes payload
      keep alive: 1
    
    99.94% <= 1 milliseconds
    100.00% <= 1 milliseconds
    82644.62 requests per second
    
    ====== INCR ======
      100000 requests completed in 1.20 seconds
      50 parallel clients
      3 bytes payload
      keep alive: 1
    
    99.94% <= 1 milliseconds
    100.00% <= 1 milliseconds
    83682.01 requests per second
    
    ====== LPUSH ======
      100000 requests completed in 1.18 seconds
      50 parallel clients
      3 bytes payload
      keep alive: 1
    
    99.87% <= 1 milliseconds
    100.00% <= 1 milliseconds
    84674.01 requests per second
    
    ====== RPUSH ======
      100000 requests completed in 1.19 seconds
      50 parallel clients
      3 bytes payload
      keep alive: 1
    
    99.90% <= 1 milliseconds
    100.00% <= 2 milliseconds
    83822.30 requests per second
    
    ====== LPOP ======
      100000 requests completed in 1.20 seconds
      50 parallel clients
      3 bytes payload
      keep alive: 1
    
    99.93% <= 1 milliseconds
    100.00% <= 1 milliseconds
    83612.04 requests per second
    
    ====== RPOP ======
      100000 requests completed in 1.21 seconds
      50 parallel clients
      3 bytes payload
      keep alive: 1
    
    99.91% <= 1 milliseconds
    100.00% <= 1 milliseconds
    82781.46 requests per second
    
    ====== SADD ======
      100000 requests completed in 1.21 seconds
      50 parallel clients
      3 bytes payload
      keep alive: 1
    
    99.90% <= 1 milliseconds
    100.00% <= 1 milliseconds
    82850.04 requests per second
    
    ====== SPOP ======
      100000 requests completed in 1.21 seconds
      50 parallel clients
      3 bytes payload
      keep alive: 1
    
    99.87% <= 1 milliseconds
    100.00% <= 1 milliseconds
    82508.25 requests per second
    
    ====== LPUSH (needed to benchmark LRANGE) ======
      100000 requests completed in 1.20 seconds
      50 parallel clients
      3 bytes payload
      keep alive: 1
    
    99.89% <= 1 milliseconds
    100.00% <= 1 milliseconds
    83472.46 requests per second
    
    ====== LRANGE_100 (first 100 elements) ======
      100000 requests completed in 4.32 seconds
      50 parallel clients
      3 bytes payload
      keep alive: 1
    
    1.68% <= 1 milliseconds
    100.00% <= 2 milliseconds
    23158.87 requests per second
    
    ====== LRANGE_300 (first 300 elements) ======
      100000 requests completed in 9.13 seconds
      50 parallel clients
      3 bytes payload
      keep alive: 1
    
    0.02% <= 1 milliseconds
    6.94% <= 2 milliseconds
    99.40% <= 3 milliseconds
    99.84% <= 4 milliseconds
    99.93% <= 5 milliseconds
    99.97% <= 6 milliseconds
    99.99% <= 7 milliseconds
    100.00% <= 8 milliseconds
    100.00% <= 8 milliseconds
    10952.90 requests per second
    
    ====== LRANGE_500 (first 450 elements) ======
      100000 requests completed in 12.65 seconds
      50 parallel clients
      3 bytes payload
      keep alive: 1
    
    0.01% <= 1 milliseconds
    0.13% <= 2 milliseconds
    33.94% <= 3 milliseconds
    99.27% <= 4 milliseconds
    99.95% <= 5 milliseconds
    100.00% <= 5 milliseconds
    7903.89 requests per second
    
    ====== LRANGE_600 (first 600 elements) ======
      100000 requests completed in 17.15 seconds
      50 parallel clients
      3 bytes payload
      keep alive: 1
    
    0.01% <= 1 milliseconds
    0.06% <= 2 milliseconds
    1.53% <= 3 milliseconds
    31.57% <= 4 milliseconds
    93.46% <= 5 milliseconds
    98.06% <= 6 milliseconds
    99.41% <= 7 milliseconds
    99.89% <= 8 milliseconds
    99.95% <= 9 milliseconds
    99.98% <= 10 milliseconds
    99.98% <= 11 milliseconds
    99.98% <= 12 milliseconds
    99.99% <= 13 milliseconds
    99.99% <= 14 milliseconds
    99.99% <= 15 milliseconds
    99.99% <= 16 milliseconds
    100.00% <= 17 milliseconds
    100.00% <= 18 milliseconds
    100.00% <= 19 milliseconds
    5829.54 requests per second
    
    ====== MSET (10 keys) ======
      100000 requests completed in 1.29 seconds
      50 parallel clients
      3 bytes payload
      keep alive: 1
    
    96.48% <= 1 milliseconds
    100.00% <= 1 milliseconds
    77760.50 requests per second

## 2、单进程 ##

单进程模型来处理客户端的请求。对读写等事件的响应是通过对 epoll 函数的包装来做到的。Redis 的实际处理速度完全依赖主线程的执行效率。

Epoll 是 Linux 内核为处理大批量文件描述符而作了改进的 epoll,是 Linux 下多路复用 IO 接口 select/poll 的增强版本，它能显著提高程序在大量并发连接中只有少量活跃的情况下的系统 CPU 利用率

## 3、默认 16 个数据库 ##

配置文件 redis.conf

# Set the number of databases. The default database is DB 0, you can select # a different one on a per-connection basis using SELECT <dbid> where # dbid is a number between 0 and 'databases'-1 databases 16

类似数组下标从零开始，初始默认使用零号库

## 4、Select 命令切换数据库 ##

127.0.0.1:6379> set k1 hello
    OK
    127.0.0.1:6379> select 7
    OK
    127.0.0.1:6379[7]> get k1
    (nil)
    127.0.0.1:6379[7]> select 0
    OK
    127.0.0.1:6379> get k1
    "hello"

## 5、Dbsize 查看当前数据库的 key 的数量 ##

127.0.0.1:6379> set k1 v1
    OK
    127.0.0.1:6379> set k2 v2
    OK
    127.0.0.1:6379> set k3 v3
    OK
    127.0.0.1:6379> dbsize
    (integer) 3

127.0.0.1:6379> set k1 v1
    OK
    127.0.0.1:6379> set k2 v2
    OK
    127.0.0.1:6379> set class student
    OK
    127.0.0.1:6379> dbsize
    (integer) 3
    127.0.0.1:6379> keys *
    1) "class"
    2) "k1"
    3) "k2"
    127.0.0.1:6379> keys k?
    1) "k1"
    2) "k2"
    127.0.0.1:6379>

## 6、Flushdb 清空当前库 ##

127.0.0.1:6379> flushdb
    OK
    127.0.0.1:6379> dbsize
    (integer) 0
    127.0.0.1:6379> keys *
    (empty list or set)

## 7、Flushall 通杀全部库 ##

27.0.0.1:6379> FLUSHALL
    OK
    127.0.0.1:6379> dbsize
    (integer) 0
    127.0.0.1:6379>

## 8、统一密码管理 ##

16 个库都是同样密码，要么都 OK 要么一个也连不上

## 9、Redis 索引都是从零开始 ##

## 10、默认端口是 6379 ##