事务的几种传播特性1. PROPAGATION_REQUIRED: 如果存在一个事务,则支持当前事务。如果没有事务则开启2. PROPAGATION_SUPPORTS:
事务的几种传播特性
1. PROPAGATION_REQUIRED: 如果存在一个事务,则支持当前事务。如果没有事务则开启
2. PROPAGATION_SUPPORTS: 如果存在一个事务,支持当前事务。如果没有事务,则非事务的执行
3. PROPAGATION_MANDATORY: 如果已经存在一个事务,支持当前事务。如果没有一个活动的事务,则抛出异常。
4. PROPAGATION_REQUIRES_NEW: 总是开启一个新的事务。如果一个事务已经存在,则将这个存在的事务挂起。
5. PROPAGATION_NOT_SUPPORTED: 总是非事务地执行,并挂起任何存在的事务。
6. PROPAGATION_NEVER: 总是非事务地执行,如果存在一个活动事务,则抛出异常
7. PROPAGATION_NESTED:如果一个活动的事务存在,则运行在一个嵌套的事务中. 如果没有活动事务,
则按TransactionDefinition.PROPAGATION_REQUIRED 属性执行
Spring事务的隔离级别
1. ISOLATION_DEFAULT: 这是一个PlatfromTransactionManager默认的隔离级别,使用数据库默认的事务隔离级别.
另外四个与JDBC的隔离级别相对应
2. ISOLATION_READ_UNCOMMITTED: 这是事务最低的隔离级别,它充许令外一个事务可以看到这个事务未提交的数据。
这种隔离级别会产生脏读,不可重复读和幻像读。
3. ISOLATION_READ_COMMITTED: 保证一个事务修改的数据提交后才能被另外一个事务读取。另外一个事务不能读取该事务未提交的数据
4. ISOLATION_REPEATABLE_READ: 这种事务隔离级别可以防止脏读,不可重复读。但是可能出现幻像读。
它除了保证一个事务不能读取另一个事务未提交的数据外,还保证了避免下面的情况产生(不可重复读)。
5. ISOLATION_SERIALIZABLE 这是花费最高代价但是最可靠的事务隔离级别。事务被处理为顺序执行。
除了防止脏读,不可重复读外,还避免了幻像读。
其中的一些概念的说明:
脏读: 指当一个事务正在访问数据,并且对数据进行了修改,而这种修改还没有提交到数据库中,这时,另外一个事务也访问这个数据,然后使用了这个数据。因为这个数据是还没有提交的数据, 那么另外一 个事务读到的这个数据是脏数据,依据脏数据所做的操作可能是不正确的。
不可重复读: 指在一个事务内,多次读同一数据。在这个事务还没有结束时,另外一个事务也访问该同一数据。 那么,在第一个事务中的两次读数据之间,,由于第二个事务的修改,那么第一个事务两次读到的数据可能是不一样的。这样就发生了在一个事务内两次读到的数据是不一样的,因此称为是不可重复读。
幻觉读: 指当事务不是独立执行时发生的一种现象,例如第一个事务对一个表中的数据进行了修改,这种修改涉及 到表中的全部数据行。同时,第二个事务也修改这个表中的数据,这种修改是向表中插入一行新数据。那么,以后就会发生操作第一个事务的用户发现表中还有没有修改的数据行,就好象发生了幻觉一样。

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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