redis memory optimization

This paper gives a general analysis of the application scenarios and characteristics of Redis, and makes a detailed analysis of the usage scenarios of the common data types of the APSARADB and the aspects of memory optimization and performance optimization. Redis Common data

Jump Table (skiplist) to ensure data storage and order, HashMap in the member to score mapping, and the jumping table is stored in all the members, Sorting is based on the score of HashMap, using the structure of the jumping table can obtain a relatively high efficiency, and the implementation is relatively simple.Common memory optimization methods and parameters? With some of our implementations above, we

Redis memory usage optimization and storageRedis crashes are really a headache.Redis memory optimization under LinuxRedis Memory storage Structure analysisRedis Common data typesThe most commonly used data types of

Timeline of Twitter, which can be stored as score in the publication time, which is automatically sorted by time.Implementation method:Redis sorted set internal use HASHMAP and jump Table (skiplist) to ensure the storage and ordering of data, HashMap in the member to score mapping, and the jumping table is all the members, sorted by HashMap in the score , the use of the structure of the jumping table can obtain a relatively high efficiency of finding, and it is relatively simple to implement.Co

Redis memory optimization, persistence, and master-slave ReplicationConfigure the memory optimization parameters of the apsaradb for Redis database, advantages and disadvantages of each persistence mode and the principle and confi

the configuration of Redis database memory optimization parameters, the pros and cons of each persistence method, and the principle and configuration of master-slave replicationfirst, commonly used memory optimization methods and parametersThe performance of

the public Timeline of Twitter, which can be stored as score in the publication time, which is automatically sorted by time.Implementation method:Redis sorted set internal use HashMap and jump Table (skiplist) to ensure the storage and ordering of data, HashMap in the member to score mapping, and the jumping table is all the members, sorted by HashMap in the score , the use of the structure of the jumping table can obtain a relatively high efficiency of finding, and it is relatively simple to i

feature, except that set is automatically weight-saving, and set is a good choice when you need to store a list of data and you don't want duplicate data. and set provides an important interface to determine whether a member is within a set set, which is not available in list.Implementation method:The internal implementation of set is a value that is always null hashmap, which is actually calculated by hashing the way to fast weight, which is also set to provide a judge whether a member is with

A recent system that uses Redis heavily, we store a large amount of user information in Redis, and the memory application is hundreds of G, and the volume is quite large. So we're constantly thinking about ways to optimize the use of redis memory and to share our

Theoretically, Redis can store 2 of the 32-time key, each instance at least 250 million keys, but because the Redis is a memory based database so it means that it is not possible to store a lot of data, it should be said that Redis storage limit is the system's available memory