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题首:这是最近读《高性能MySqL 第二版》记录下来的东西~
#读锁(共享锁)、写锁(排他锁):读锁是共享的,互不阻塞,读取同一资源互不影响;写锁排他,一个写锁会阻塞其他的读写操作。
#锁定对象的粒度:表锁和行锁。
表锁:整个表加锁,当写操作时,加写锁,资源访问排他。当没有写时,加读锁,读锁互不冲突。写锁比读锁有高优先级。开销较小。
行级锁:对一行加锁,开销大,支持最大并发处理。
#事务:ACID
A原子性:一个事务是一个原子不可分的工作单元,内部的工作不会被部分执行,要么全部执行,要么根本不执行
C一致性:数据库从一种一致状态转到另一种一致状态,事务执行过程中的数据改变不会影响数据库数据。
I 隔离性:某个事务的结果只有在事务完成后才对其他事务可见。
D持久性:一个事务提交后的结果改变将是持久的,不会马上消失。
#MVCC:多版本并发控制
#几个存储引擎:
MyISAM:加表锁,在select查询时可以在同一张表完成插入(并发插入),可以基于BLOB和TEXT的前500字符进行相关索引。
InnoDB:事务引擎,适合处理大量短期事务,基于聚簇索引,不压缩索引
Memory:基于堆的,内存存储,支持哈希索引
Archive:只支持insert和select,不支持索引,缓冲了数据写操作,插入时使用zlib算法压缩,比MyISAM磁盘IO消耗少,所有 的select查询执行全表扫描,适合logging,支持行级锁。
存储引擎 MySqL版本 事务 锁粒度 主要应用 忌用 MyISAM 全部 不支持 支持并发插入的表锁 select,insert,高负载 读写并重的场合 MyISAM Merge 全部 不支持 支持并发插入的表锁 分段归档,数据仓库 许多全局查找 Memory(Heap) 全部 不支持 表锁 中间计算,静态数据查找 大型数据集,持久性存储 InnoDB 全部 支持 支持MVCC的行级锁 事务处理 无 Falcon 6.0 支持 支持MVCC的行级锁 事务处理 无 Archive 4.1 支持 支持MVCC的行级锁 日志记录,聚合分析 需要随机读取、更新、删除 CSV 4.1 不支持 表锁 日志记录,大规模加载外部数据 需要随机读取、索引 Blackhole 4.1 支持 支持MVCC的行级锁 日志记录或同步归档 除非有特别目的,否则不适合任何场合 Federated 5.0 N/A N/A 分布式数据源 除非有特别目的,否则不适合任何场合 NDB Cluster 5.0 支持 行级锁 高可靠性 大部分典型应用 PBXT 5.0 支持 支持MVCC的行级锁 事务处理,日志记录 需要聚集索引 SolidDB 5.0 支持 支持MVCC的行级锁 事务处理 无 Maria 6.x 支持 支持MVCC的行级锁 替代MyISAM 无摘自 Change Dir bitsCN.com

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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