Shulou(Shulou.com)06/01 Report--

This article mainly introduces the usage of redis, which has a certain reference value, friends who need can refer to it. I hope you will learn a lot after reading this article. Next, let the editor take you to learn about it.

1. High concurrency caching / shared session:

UserInfo getUserInfo (long id) {}

Fetch:

UserRedisKey = "user:info:" + id

Value = redis.get (userRedisKey)

If (value! = null) {

UserInfo = deserialize (value)

Return userInfo

}

Save:

UserInfo = * getUserInfo (id)

Redis.setex (userRedisKey, 3600, serialize (userInfo))

Using string to store serialized data is not stereoscopic and intuitive, but can be converted to hmset storage as a hash structure, and access is more intuitive.

two。 Simple distributed lock

Setnx can be set successfully only if it does not exist, and the rest can only wait. Single thread

3. Counter incr, because it is single-threaded, has less cpu consumption and higher performance than cas, etc.

Long incrVideoCounter (long id) {

Key = "video:playCount:" + id

Return redis.incr (key)

}

4. Implement stack / queue

Stack: lpush + lpop

Queue: lpush + rpop

5. Flow control / speed limit

PhoneNum = "12345678999"

Key = "shortMsg:limit:" + phoneNum

IsExists = redis.set (key, 1, "EX 60", "NX")

If (isExists! = null | | redis.incr (key)

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