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专业术语:
phantom reads[幻读] - Repeatable Reads Level:事务A的两次范围查询之间,事物B在范围内插入了数据,导致事务A的两次查询结果不一致(因为范围锁range-locks)
non-repeatable reads[重复读取不一致] - Read Committed Level:事务A对某一行进行两次查询,在这两次查询之间,事物B对这一行的数据进行了修改,导致事务A的两次查询结果不一致
dirty reads[脏读] - Read Uncommitted Level:事务A对某一行进行两次查询,在这两次查询之间,事物B对这一行的数据进行了修改,但是未提交而是回滚,导致事务A的第二次查询读取了错误的数据
隔离级:
Serializable [串行]
This is the highest isolation level.
With a lock-based concurrency control DBMS implementation, serializability requires read and write locks (acquired on selected data) to be released at the end of the transaction. Also range-locks must be acquired when a SELECT query uses a ranged WHERE clause, especially to avoid the phantom reads phenomenon (see below).
When using non-lock based concurrency control, no locks are acquired; however, if the system detects a write collision among several concurrent transactions, only one of them is allowed to commit. Seesnapshot isolation for more details on this topic.
Repeatable reads [重复读]
In this isolation level, a lock-based concurrency control DBMS implementation keeps read and write locks (acquired on selected data) until the end of the transaction. However, range-locks are not managed, so the phantom reads phenomenon can occur (see below).
Read committed [读提交]
In this isolation level, a lock-based concurrency control DBMS implementation keeps write locks (acquired on selected data) until the end of the transaction, but read locks are released as soon as theSELECT operation is performed (so the non-repeatable reads phenomenon can occur in this isolation level, as discussed below). As in the previous level, range-locks are not managed.
Read uncommitted [读未提交]
This is the lowest isolation level. In this level, dirty reads are allowed (see below), so one transaction may see not-yet-committed changes made by other transactions.
MySQL参数配置:
SET [GLOBAL | SESSION] TRANSACTION ISOLATION LEVEL{ REPEATABLE READ | READ COMMITTED | READ UNCOMMITTED | SERIALIZABLE}
感觉其实看懂了还是非常好理解的,只是不太好描述~
参考文献:
[wiki]:http://en.wikipedia.org/wiki/Isolation_(database_systems)
[MySQL]:http://dev.mysql.com/doc/refman/5.5/en/dynindex-isolevel.html
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ACID attributes include atomicity, consistency, isolation and durability, and are the cornerstone of database design. 1. Atomicity ensures that the transaction is either completely successful or completely failed. 2. Consistency ensures that the database remains consistent before and after a transaction. 3. Isolation ensures that transactions do not interfere with each other. 4. Persistence ensures that data is permanently saved after transaction submission.

MySQL is not only a database management system (DBMS) but also closely related to programming languages. 1) As a DBMS, MySQL is used to store, organize and retrieve data, and optimizing indexes can improve query performance. 2) Combining SQL with programming languages, embedded in Python, using ORM tools such as SQLAlchemy can simplify operations. 3) Performance optimization includes indexing, querying, caching, library and table division and transaction management.

MySQL uses SQL commands to manage data. 1. Basic commands include SELECT, INSERT, UPDATE and DELETE. 2. Advanced usage involves JOIN, subquery and aggregate functions. 3. Common errors include syntax, logic and performance issues. 4. Optimization tips include using indexes, avoiding SELECT* and using LIMIT.

MySQL is an efficient relational database management system suitable for storing and managing data. Its advantages include high-performance queries, flexible transaction processing and rich data types. In practical applications, MySQL is often used in e-commerce platforms, social networks and content management systems, but attention should be paid to performance optimization, data security and scalability.

The relationship between SQL and MySQL is the relationship between standard languages and specific implementations. 1.SQL is a standard language used to manage and operate relational databases, allowing data addition, deletion, modification and query. 2.MySQL is a specific database management system that uses SQL as its operating language and provides efficient data storage and management.

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

Key metrics for EXPLAIN commands include type, key, rows, and Extra. 1) The type reflects the access type of the query. The higher the value, the higher the efficiency, such as const is better than ALL. 2) The key displays the index used, and NULL indicates no index. 3) rows estimates the number of scanned rows, affecting query performance. 4) Extra provides additional information, such as Usingfilesort prompts that it needs to be optimized.

Usingtemporary indicates that the need to create temporary tables in MySQL queries, which are commonly found in ORDERBY using DISTINCT, GROUPBY, or non-indexed columns. You can avoid the occurrence of indexes and rewrite queries and improve query performance. Specifically, when Usingtemporary appears in EXPLAIN output, it means that MySQL needs to create temporary tables to handle queries. This usually occurs when: 1) deduplication or grouping when using DISTINCT or GROUPBY; 2) sort when ORDERBY contains non-index columns; 3) use complex subquery or join operations. Optimization methods include: 1) ORDERBY and GROUPB


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