異常快速 : Redis是很是快的,每秒能夠執行大約110000設置操做,81000個/每秒的讀取操做。css
支持豐富的數據類型 : Redis支持最大多數開發人員已經知道如列表,集合,可排序集合,哈希等數據類型。html
操做都是原子的 : 全部 Redis 的操做都是原子,從而確保當兩個客戶同時訪問 Redis 服務器獲得的是更新後的值(最新值)。mysql
$sudo apt-get update $sudo apt-get install redis-server
啓動 Redisredis
$redis-server
查看 redis 是否還在運行算法
$redis-cli
redis 127.0.0.1:6379>
redis 127.0.0.1:6379> ping PONG
redis 127.0.0.1:6379> SET name "yiibai" OK redis 127.0.0.1:6379> GET name "yiibai"
redis 127.0.0.1:6379> HMSET user:1 username yiibai password yiibai points 200 OK redis 127.0.0.1:6379> HGETALL user:1 1) "username" 2) "yiibai" 3) "password" 4) "yiibai" 5) "points" 6) "200"
redis 127.0.0.1:6379> lpush tutoriallist redis (integer) 1 redis 127.0.0.1:6379> lpush tutoriallist mongodb (integer) 2 redis 127.0.0.1:6379> lpush tutoriallist rabitmq (integer) 3 redis 127.0.0.1:6379> lrange tutoriallist 0 10 1) "rabitmq" 2) "mongodb" 3) "redis"
redis 127.0.0.1:6379> sadd tutoriallist redis (integer) 1 redis 127.0.0.1:6379> sadd tutoriallist mongodb (integer) 1 redis 127.0.0.1:6379> sadd tutoriallist rabitmq (integer) 1 redis 127.0.0.1:6379> sadd tutoriallist rabitmq (integer) 0 redis 127.0.0.1:6379> smembers tutoriallist 1) "rabitmq" 2) "mongodb" 3) "redis"
redis 127.0.0.1:6379> zadd tutoriallist 0 redis (integer) 1 redis 127.0.0.1:6379> zadd tutoriallist 0 mongodb (integer) 1 redis 127.0.0.1:6379> zadd tutoriallist 0 rabitmq (integer) 1 redis 127.0.0.1:6379> zadd tutoriallist 0 rabitmq (integer) 0 redis 127.0.0.1:6379> ZRANGEBYSCORE tutoriallist 0 1000 1) "redis" 2) "mongodb" 3) "rabitmq"
redis 127.0.0.1:6379> COMMAND KEY_NAME
redis 127.0.0.1:6379> SET yiibai redis OK redis 127.0.0.1:6379> DEL yiibai (integer) 1
redis 127.0.0.1:6379> COMMAND KEY_NAME
redis 127.0.0.1:6379> SET yiibai redis OK redis 127.0.0.1:6379> GET yiibai "redis"
redis 127.0.0.1:6379> HMSET yiibai name "redis tutorial" description "redis basic commands for caching" likes 20 visitors 23000 OK redis 127.0.0.1:6379> HGETALL yiibai 1) "name" 2) "redis tutorial" 3) "description" 4) "redis basic commands for caching" 5) "likes" 6) "20" 7) "visitors" 8) "23000"
redis 127.0.0.1:6379> LPUSH tutorials redis (integer) 1 redis 127.0.0.1:6379> LPUSH tutorials mongodb (integer) 2 redis 127.0.0.1:6379> LPUSH tutorials mysql (integer) 3 redis 127.0.0.1:6379> LRANGE tutorials 0 10 1) "mysql" 2) "mongodb" 3) "redis"
redis 127.0.0.1:6379> SADD yiibai redis (integer) 1 redis 127.0.0.1:6379> SADD yiibai mongodb (integer) 1 redis 127.0.0.1:6379> SADD yiibai mysql (integer) 1 redis 127.0.0.1:6379> SADD yiibai mysql (integer) 0 redis 127.0.0.1:6379> SMEMBERS yiibai 1) "mysql" 2) "mongodb" 3) "redis"
在 Redis 有序集合添加,刪除和測試成員的存在的時間複雜度爲 O(1)(恆定時間,不管集合內包含元素的數量)。列表的最大長度爲 232 - 1 個元素(4294967295,每一個集合的元素超過四十億)。 sql
redis 127.0.0.1:6379> ZADD yiibai 1 redis (integer) 1 redis 127.0.0.1:6379> ZADD yiibai 2 mongodb (integer) 1 redis 127.0.0.1:6379> ZADD yiibai 3 mysql (integer) 1 redis 127.0.0.1:6379> ZADD yiibai 3 mysql (integer) 0 redis 127.0.0.1:6379> ZADD yiibai 4 mysql (integer) 0 redis 127.0.0.1:6379> ZRANGE yiibai 0 10 WITHSCORES 1) "redis" 2) "1" 3) "mongodb" 4) "2" 5) "mysql" 6) "4"
Redis HyperLogLog 是用來作基數統計的算法,HyperLogLog 的優勢是,在輸入元素的數量或者體積很是很是大時,計算基數所需的空間老是固定 的、而且是很小的。mongodb
在 Redis 裏面,每一個 HyperLogLog 鍵只須要花費 12 KB 內存,就能夠計算接近 2^64 個不一樣元素的基 數。這和計算基數時,元素越多耗費內存就越多的集合造成鮮明對比。可是,由於 HyperLogLog 只會根據輸入元素來計算基數,而不會儲存輸入元素自己,因此 HyperLogLog 不能像集合那樣,返回輸入的各個元素。數據庫
redis 127.0.0.1:6379> PFADD tutorials "redis" 1) (integer) 1 redis 127.0.0.1:6379> PFADD tutorials "mongodb" 1) (integer) 1 redis 127.0.0.1:6379> PFADD tutorials "mysql" 1) (integer) 1 redis 127.0.0.1:6379> PFCOUNT tutorials (integer) 3
redis 127.0.0.1:6379> SUBSCRIBE redisChat Reading messages... (press Ctrl-C to quit) 1) "subscribe" 2) "redisChat" 3) (integer) 1
redis 127.0.0.1:6379> PUBLISH redisChat "Redis is a great caching technique" (integer) 1 redis 127.0.0.1:6379> PUBLISH redisChat "Learn redis by tutorials point" (integer) 1 1) "message" 2) "redisChat" 3) "Redis is a great caching technique" 1) "message" 2) "redisChat" 3) "Learn redis by tutorials point"
redis 127.0.0.1:6379> MULTI OK List of commands here redis 127.0.0.1:6379> EXEC
redis 127.0.0.1:6379> MULTI OK redis 127.0.0.1:6379> SET tutorial redis QUEUED redis 127.0.0.1:6379> GET tutorial QUEUED redis 127.0.0.1:6379> INCR visitors QUEUED redis 127.0.0.1:6379> EXEC 1) OK 2) "redis" 3) (integer) 1
redis 127.0.0.1:6379> EVAL script numkeys key [key ...] arg [arg ...]
redis 127.0.0.1:6379> EVAL "return {KEYS[1],KEYS[2],ARGV[1],ARGV[2]}" 2 key1 key2 first second 1) "key1" 2) "key2" 3) "first" 4) "second"
redis 127.0.0.1:6379> AUTH "password" OK redis 127.0.0.1:6379> PING PONG
127.0.0.1:6379> SAVE
127.0.0.1:6379> SAVE OK
127.0.0.1:6379> CONFIG get dir 1) "dir" 2) "/user/yiibai/redis-2.8.13/src"
127.0.0.1:6379> BGSAVE Background saving started
127.0.0.1:6379> CONFIG get requirepass 1) "requirepass" 2) ""
127.0.0.1:6379> CONFIG set requirepass "yiibaipass" OK 127.0.0.1:6379> CONFIG get requirepass 1) "requirepass" 2) "yiibaipass"
127.0.0.1:6379> AUTH password
redis-benchmark [option] [option value]
redis-benchmark -n 100000 PING_INLINE: 141043.72 requests per second PING_BULK: 142857.14 requests per second SET: 141442.72 requests per second GET: 145348.83 requests per second INCR: 137362.64 requests per second LPUSH: 145348.83 requests per second LPOP: 146198.83 requests per second SADD: 146198.83 requests per second SPOP: 149253.73 requests per second LPUSH (needed to benchmark LRANGE): 148588.42 requests per second LRANGE_100 (first 100 elements): 58411.21 requests per second LRANGE_300 (first 300 elements): 21195.42 requests per second LRANGE_500 (first 450 elements): 14539.11 requests per second LRANGE_600 (first 600 elements): 10504.20 requests per second MSET (10 keys): 93283.58 requests per second
config get maxclients 1) "maxclients" 2) "10000"
redis-server --maxclients 100000
$(echo -en "PING\r\n SET tutorial redis\r\nGET tutorial\r\nINCR visitor\r\nINCR visitor\r\nINCR visitor\r\n"; sleep 10) | nc localhost 6379 +PONG +OK redis :1 :2 :3