Deadlock
Recommended courses: MySQL Tutorial.
The key to deadlock is that the order in which two (or more) Sessions are locked is inconsistent.
Then the corresponding key to solving the deadlock problem is: let different sessions be locked in order
Case
Requirement: Invest the money Split into several tranches and distributed randomly to borrowers.
The initial business process idea is as follows:
After the investor invests, the amount is randomly divided into several parts, and then a few are randomly selected from the borrower list. Then use select for update to update the balance in the borrower table, etc.
For example, if two users invest at the same time, the amount of user A is randomly divided into 2 parts, and is distributed to borrower 1, 2
The amount of user B is randomly divided into 2 parts. Assigned to borrowers 2 and 1
. Since the order of locking is different, deadlock will of course occur quickly.
The improvement to this problem is very simple, just lock all the assigned borrowers at once.
Select * from xxx where id in (xx,xx,xx) for update
The list value in in mysql will automatically sort from small to large, add The locks are also a series of locks from small to large
例如(以下会话id为主键): Session1: mysql> select * from t3 where id in (8,9) for update; +----+--------+------+---------------------+ | id | course | name | ctime | +----+--------+------+---------------------+ | 8 | WA | f | 2016-03-02 11:36:30 | | 9 | JX | f | 2016-03-01 11:36:30 | +----+--------+------+---------------------+ rows in set (0.04 sec) Session2: select * from t3 where id in (10,8,5) for update; 锁等待中…… 其实这个时候id=10这条记录没有被锁住的,但id=5的记录已经被锁住了,锁的等待在id=8的这里 不信请看 Session3: mysql> select * from t3 where id=5 for update; 锁等待中 Session4: mysql> select * from t3 where id=10 for update; +----+--------+------+---------------------+ | id | course | name | ctime | +----+--------+------+---------------------+ | 10 | JB | g | 2016-03-10 11:45:05 | +----+--------+------+---------------------+ row in set (0.00 sec) 在其它session中id=5是加不了锁的,但是id=10是可以加上锁的。
The above is the detailed content of Under what circumstances will mysql deadlock?. For more information, please follow other related articles on the PHP Chinese website!

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

The MySQL learning path includes basic knowledge, core concepts, usage examples, and optimization techniques. 1) Understand basic concepts such as tables, rows, columns, and SQL queries. 2) Learn the definition, working principles and advantages of MySQL. 3) Master basic CRUD operations and advanced usage, such as indexes and stored procedures. 4) Familiar with common error debugging and performance optimization suggestions, such as rational use of indexes and optimization queries. Through these steps, you will have a full grasp of the use and optimization of MySQL.

MySQL's real-world applications include basic database design and complex query optimization. 1) Basic usage: used to store and manage user data, such as inserting, querying, updating and deleting user information. 2) Advanced usage: Handle complex business logic, such as order and inventory management of e-commerce platforms. 3) Performance optimization: Improve performance by rationally using indexes, partition tables and query caches.

SQL commands in MySQL can be divided into categories such as DDL, DML, DQL, DCL, etc., and are used to create, modify, delete databases and tables, insert, update, delete data, and perform complex query operations. 1. Basic usage includes CREATETABLE creation table, INSERTINTO insert data, and SELECT query data. 2. Advanced usage involves JOIN for table joins, subqueries and GROUPBY for data aggregation. 3. Common errors such as syntax errors, data type mismatch and permission problems can be debugged through syntax checking, data type conversion and permission management. 4. Performance optimization suggestions include using indexes, avoiding full table scanning, optimizing JOIN operations and using transactions to ensure data consistency.

InnoDB achieves atomicity through undolog, consistency and isolation through locking mechanism and MVCC, and persistence through redolog. 1) Atomicity: Use undolog to record the original data to ensure that the transaction can be rolled back. 2) Consistency: Ensure the data consistency through row-level locking and MVCC. 3) Isolation: Supports multiple isolation levels, and REPEATABLEREAD is used by default. 4) Persistence: Use redolog to record modifications to ensure that data is saved for a long time.

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 is suitable for small and large enterprises. 1) Small businesses can use MySQL for basic data management, such as storing customer information. 2) Large enterprises can use MySQL to process massive data and complex business logic to optimize query performance and transaction processing.

InnoDB effectively prevents phantom reading through Next-KeyLocking mechanism. 1) Next-KeyLocking combines row lock and gap lock to lock records and their gaps to prevent new records from being inserted. 2) In practical applications, by optimizing query and adjusting isolation levels, lock competition can be reduced and concurrency performance can be improved.


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

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

Zend Studio 13.0.1
Powerful PHP integrated development environment

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

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

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft