Summarize the four isolation levels of the SQL92 standard
Definition
- Read uncommitted (read uncommitted content)
At the Read uncommitted level , modifications in a transaction are visible to other transactions even if they are not committed. Transactions can read uncommitted data, which is also called a dirty read. This level can cause many problems. In terms of performance, Read uncommitted is not much better than other levels, but it lacks many of the benefits of other levels. Unless there are very necessary reasons, it is rarely used in actual applications.
- Read committed (Read committed content)
The default isolation level of most database systems is Read committed (but MySQL is not). Read committed satisfies the simple definition of isolation mentioned earlier: when a transaction starts, only modifications made by committed transactions can be seen. In other words, any modifications made by a transaction from the beginning to the time it is committed are not visible to other transactions. This level is sometimes called nonrepeatable read, because executing the same query twice may result in different results.
- Repeatable read (repeatable read)
Repeatable read solves the dirty read problem. This level ensures that the results of reading the same record multiple times in the same transaction are consistent. However, in theory, the repeatable read isolation level still cannot solve another phantom read (Phantom read) problem. The so-called phantom read means that when a transaction reads records in a certain range, another transaction inserts a new record in the range. When the previous transaction reads the records in the range again, it will Produce phantom rows. InnoDB and XtraDB storage engines solve the phantom read problem through multi-version concurrency control (MVCC).
Repeatable read is the default transaction isolation level of Mysql. InnoDB mainly obtains high concurrency by using MVVC and uses a strategy called next-key-locking to avoid phantom reads.
- Serializable
Serializable is the highest isolation level. It avoids the phantom read problem mentioned earlier by forcing transactions to be serialized. To put it simply, Serializable will add a lock to every row of data read, so it may cause a lot of timeout and lock acquisition problems. This isolation level is rarely used in actual applications. This level should be considered only when it is very necessary to ensure data consistency and the absence of concurrency is acceptable.
Isolation Level
ANSI SQL92 P68-69
Level (Isolation Level) | Dirty read | Non-repeatable read | Phantom |
---|---|---|---|
Read uncommitted (Read uncommitted content) | ✓ | ✓ | ✓ |
Read committed (Read committed content ) | × | ✓ | ✓ |
Repeatable read | × | × | ✓ |
Serializable | × | × | × |
Recommended study: "mysql video tutorial" ##
The above is the detailed content of Summarize the four isolation levels of the SQL92 standard. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

You can open phpMyAdmin through the following steps: 1. Log in to the website control panel; 2. Find and click the phpMyAdmin icon; 3. Enter MySQL credentials; 4. Click "Login".

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

Redis uses a single threaded architecture to provide high performance, simplicity, and consistency. It utilizes I/O multiplexing, event loops, non-blocking I/O, and shared memory to improve concurrency, but with limitations of concurrency limitations, single point of failure, and unsuitable for write-intensive workloads.

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

MySQL and SQL are essential skills for developers. 1.MySQL is an open source relational database management system, and SQL is the standard language used to manage and operate databases. 2.MySQL supports multiple storage engines through efficient data storage and retrieval functions, and SQL completes complex data operations through simple statements. 3. Examples of usage include basic queries and advanced queries, such as filtering and sorting by condition. 4. Common errors include syntax errors and performance issues, which can be optimized by checking SQL statements and using EXPLAIN commands. 5. Performance optimization techniques include using indexes, avoiding full table scanning, optimizing JOIN operations and improving code readability.

Effective monitoring of Redis databases is critical to maintaining optimal performance, identifying potential bottlenecks, and ensuring overall system reliability. Redis Exporter Service is a powerful utility designed to monitor Redis databases using Prometheus. This tutorial will guide you through the complete setup and configuration of Redis Exporter Service, ensuring you seamlessly build monitoring solutions. By studying this tutorial, you will achieve fully operational monitoring settings
