Redis数据类型及操作,redis 的 string 可以包含任何数据,比如 jpg 图片或者序列化的对象。从内部实现来看其实 string 可以看作 b
strings 类型
string 类型是二进制安全的。
redis 的 string 可以包含任何数据,比如 jpg 图片或者序列化的对象。从内部实现来看其实 string 可以看作 byte 数组,最大上限是 1G 字节
struct sdshdr {
long len;//buf的长度
long free;//buf剩余可用字节数
char buf[];//实际的字符串内容
};
1:set
设置 key 对应的value(string类型)
> set name larry
ok
2:setnx
即set not exist,如果 key 已经存在,返回 0
> set name larry
ok
>setnx name larry
(integer) 0
3:setex
存储键值对,并设置有效期
>setex name 10 larry
ok
>get name
"larry"
10秒钟后...
>get name
(nil)
4:setrange
有就替换,没有就用\x00代替缺少的字符来替换,数字代表开始替换的下标
> get name
"larry"
>setrange name 0 lv
(integer) 5
>get name
"lvrry"
>setrange name 10 lv
"lvrry\x00\x00\x00\x00\x00lv"
5:mset
每次设置多个key值
>mset key1 value1 key2 value2
ok
6:msetnx
一次设置多个 key 的值,具有原子性,同时成功或失败,失败返回0,所有操作回滚
7:get
根据key获取值,不存在返回(nil)
>get asdasds
(nil)
8:getset
获取旧值并设置一个新值,不存在返回(nil)
>get name
"larry"
>getset name lv
"larry"
>get name
"lv"
>getset dsadasd lv
(nil)
9:getrange
根据指定的下标获取值,负数表示从右边开始
>getrange 0 1 name
"la"
10:mget
返回多个值,,不存在返回(nil)
>get name sdadasd
1)"larry"
2)(nil)
11:incr
加加操作,如果字符不是int型会报错(error) ERR value is not an integer or out of range
> set age 20
OK
incr age
(integer) 21
12:incrby
加操作
> get age
"21"
> incrby age 5
(integer) 26
13:decr
减减操作
14:decrby
减操作
15:append
追加操作,返回字符串长度
>append name lv
(integer) 15
>get name
"larrylv"
16:strlen
返回value的长度

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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