Redis资料汇总 http://blog.nosqlfan.com/html/3537.html Redis命令参考 http://www.redisdoc.com/en/latest/ 在线尝试Redis网站 http://try.redis.io/ Redis: Re mote Di ctionary S erver Redis支持的健数据类型 字符串类型 string 散列表类型 hash 列表类
Redis资料汇总 http://blog.nosqlfan.com/html/3537.html
Redis命令参考 http://www.redisdoc.com/en/latest/
在线尝试Redis网站 http://try.redis.io/
Redis: Remote Dictionary Server
Redis支持的健值数据类型
字符串类型 string
散列表类型 hash
列表类型 list
集合类型 set
有序集合类型 zset
Redis安装
redis-server Redis服务器
redis-cli Redis命令行客户端
redis-benchmark 性能测试工具
redis-check-aof AOF文件修复工具
redis-check-dump RDB文件检查工具
Redis命令
KEYS pattern 获得符合规则的键名列表
EXISTS key 判断一个键是否存在
DEL key 删除一个键
TYPE key 获得键值的数据类型
字符串数据类型 STRING
字符串类型是Redis基本数据类型,能存储任何形式的字符串,包括二进制数据。
SET key value 赋值
GET key 取值
INCR key 递增数字(所有Redis命令都是原子操作)
Redis键命名实践 “对象类型:对象ID:对象属性”,对于多个单词推荐用.分割。如键user:1:friends表示ID为1的用户的好友列表。
INCRBY key increment 增加指定整数
DECRBY key decrement 减少指定的整数
INCRBYFLOAT key increment 增加指定浮点数
APPEND key value 向尾部追加值,返回追加后字符串的长度
STRLEN key 返回键值的长度
MGET key [key ...] 获取多个健值
MSET key value [key value ...] 设置多个键值
位操作
GETBIT key offset 获得一个字符串指定位置的二进制位的值(0或1)
SETBIT key offset value 设置字符串类型键指定位置的二进制值,返回该位置的旧值
BITCOUNT key [start] [end] 统计字符串类型中值为1的二进制位个数,可以指定字节的范围
BITOP operation destkey key [key...] (AND, OR, XOR, NOT)
散列类型 HASH
散列类型的键值也是一种字典结构,其存储了字段和字段值的映射,但字段值只能是字符串,不支持其他类型。(集合类型也不支持数据类型嵌套)
HSET key field value 赋值(插入时返回1,更新时返回0)
HGET key field 取值
HMSET key field value [field value ...]
HMGET key field [feild...]
HGETALL key
HEXISTS key field 判断字段是否存在
HSETNX key field value 当字段不存在时赋值
HINCRBY key field increment 增加数字
HDEL key field [field...] 删除字段
HKEYS key 只获取字段名
HVALS key 只获取字段值
HLEN key 获得字段数量
列表类型 LIST
列表类型可以存储一个有序的字符串列表,常用的操作是向列表两端添加元素或者获得某个列表的某一个片段。
内部使用双向链表实现,获取越接近两端的元素速度就越快,不过索引访问元素比较慢。列表类型能非常快速地完成关系数据库难以应付的场景,如社交网络新鲜事。
LPUSH key value [value...] 从列表左边增加元素
RPUSH key value [value...] 从列表右边增加元素
LPOP key 从列表左边弹出元素
RPOP key 从列表右边弹出元素
LLEN key 获取列表中元素的个数
LRANGE key start stop 获取列表片段(包括stop,支持负数表示从最右边开始计数)
LREM key count value 删除前count个值为value的元素(count>0时从左边开始删除,count
LINDEX key index 获取指定索引的元素值
LSET key index value 设置指定索引的元素值
LTRIM key start end 只保留指定片段
LINSERT key FEFORE|AFTER pivot value 首先从左到右查找pivot元素,再根据第二个参赛将value插入该元素前面或后面。
RPOPLPUSH source destination 将一个元素转移到另一个列表 ,原子操作。当source和destination相同时会不断将对尾元素移到队首,实现网站监控系统。
集合类型 SET
集合类型每个元素不同,且无序。
SADD key member [member...] 增加元素,返回成功加入元素的个数
SREM key member [member...] 删除元素
SMEMBERS key 获得集合中所有元素
SISMEMBER key member 判断是否存在集合中
集合间运算
SDIFF [destination] key [key ...] 多个集合求差运算A-B,并存储到destination中
SINTER [destination] key [key ...] 多个集合执行交运算
SUNION [destination] key [key...] 多个集合求并运算
SCARD key 集合中元素个数
SRANDMEMEBER key [count] 随机获得集合中元素(当count>0时随机获取count个不重复元素,count
SPOP key 从集合中随机弹出一个元素
有序集合类型 ZSET
列表类型通过链表实现,获取靠近两端的数据速度极快,当元素增加后中间元素比较慢,更适合"新鲜事"或“日志”这样很少访问中间元素的应用。
有序集合类型通过散列表和跳跃表实现的,所以即使读取位于中间位置也很快O(NlgN)。
列表中不能简单调整某个元素位置,有序集合可以。有序集合更耗费内存。
ZADD key score member [score member...] 加入一个元素和该元素的分数(分数可以是整数或小数,+inf和-inf表示正负无穷)
ZSCORE key member 获得元素的分数
ZRANGE key start stop [WITHSCORE] 按照从从小到大的顺序返回start和stop之间所有元素(WITHSCORE表示带上分数)复杂度O(logn+m)
ZREVRANGE key start stop [WITHSCORE] 从大到小的顺序
ZRANGEBYSCORE key min max [WITHSCORE] [LIMIT offset count] 按照从小到大返回分数在min和max之间的元素
ZINCRBY key increment member 增加某个元素的分数
ZCARD key 获得集合中元素个数
ZCOUNT key min max 获得指定范围内的元素个数
ZREM key member [member ...] 删除一个或多个元素
ZREMRANGEBYRANK key start stop 按照元素分数从小到大的顺序删除指定排名范围内的所有元素,并返回删除元素的个数
ZREMRANGEBYSCORE key min max 删除指定分数范围内的所有元素
ZRANK key member 获得元素的排名
ZREVRANK key member

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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