MySQL transactions, locks and applications (1)
1. What is a transaction?
A transaction is a combination of one or more database operation statements and has four ACID characteristics:
Atomicity ( Atomicity)
Either all succeed or all are cancelled.
Consistency (Consistency)
After the database changes state correctly, the consistency constraints of the database are not destroyed.
Isolation
Transactions are independent of each other and do not interfere with each other.
Durability (Durability)
The submission results of the transaction will be persisted in the database.
2. Problems caused by transaction concurrency
If there is no transaction isolation, it may occur:
Dirty read
Dirty reading means that when a transaction reads a piece of data and modifies the data, but has not yet submitted it, another transaction also reads the piece of data and then uses the data. Article data. For example: the user's account amount is 100, T1 modifies it to 200, but does not submit it. At the same time, T2 reads that the user's account amount is 200, and then T1 rolls back abnormally, and the 200 read by T2 is dirty data.
Non-repeatable read
Non-repeatable read means that for a certain piece of data in the database, multiple queries within a transaction return different values. , this is because it was modified and committed by another transaction during the query interval.
Phantom reading
The number of data rows in the two queries of a transaction is inconsistent. For example, one transaction queries several columns of data, and another transaction inserts several new columns of data at this time. In the next query, the first transaction will find that there are several columns of data that it did not have before, as if it was an illusion. Same, this is a phantom reading occurring.
3. Transaction isolation level
What concurrency problems does the transaction isolation level solve? What other concurrency problems exist?
1. Read Uncommitted (read uncommitted content)
This is the lowest isolation level of a transaction, which allows another transaction to see this Transaction uncommitted data. There is no way to avoid any problems with concurrency.
2. Read Committed (read submission content)
Ensure that the data modified by one transaction can only be read by another transaction, that is, another transaction A transaction cannot read data that has not been committed by the transaction. Dirty reads can be avoided, but non-repeatable reads and phantom reads may occur.
3. Repeatable Read (rereadable)
This is the default transaction isolation level of MySQL, which ensures that multiple instances of the same transaction can read concurrently data, you will see the same data. Dirty reads and non-repeatable reads can be avoided, but phantom reads may occur.
4. Serializable (serializable)
This is the highest isolation level. It forces transactions to be ordered so that they cannot conflict with each other. At this level, a lot of timeouts and lock contention can result. It can avoid the occurrence of dirty reads, non-repeatable reads and phantom reads.
The next article introduces the locking mechanism of the InnoDB engine.
The above is the content of MySQL transactions, locks and applications (1). For more related content, please pay attention to the PHP Chinese website (www.php.cn)!

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

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

Big data structure processing skills: Chunking: Break down the data set and process it in chunks to reduce memory consumption. Generator: Generate data items one by one without loading the entire data set, suitable for unlimited data sets. Streaming: Read files or query results line by line, suitable for large files or remote data. External storage: For very large data sets, store the data in a database or NoSQL.

MySQL query performance can be optimized by building indexes that reduce lookup time from linear complexity to logarithmic complexity. Use PreparedStatements to prevent SQL injection and improve query performance. Limit query results and reduce the amount of data processed by the server. Optimize join queries, including using appropriate join types, creating indexes, and considering using subqueries. Analyze queries to identify bottlenecks; use caching to reduce database load; optimize PHP code to minimize overhead.

Backing up and restoring a MySQL database in PHP can be achieved by following these steps: Back up the database: Use the mysqldump command to dump the database into a SQL file. Restore database: Use the mysql command to restore the database from SQL files.

How to insert data into MySQL table? Connect to the database: Use mysqli to establish a connection to the database. Prepare the SQL query: Write an INSERT statement to specify the columns and values to be inserted. Execute query: Use the query() method to execute the insertion query. If successful, a confirmation message will be output.

One of the major changes introduced in MySQL 8.4 (the latest LTS release as of 2024) is that the "MySQL Native Password" plugin is no longer enabled by default. Further, MySQL 9.0 removes this plugin completely. This change affects PHP and other app

To use MySQL stored procedures in PHP: Use PDO or the MySQLi extension to connect to a MySQL database. Prepare the statement to call the stored procedure. Execute the stored procedure. Process the result set (if the stored procedure returns results). Close the database connection.

Creating a MySQL table using PHP requires the following steps: Connect to the database. Create the database if it does not exist. Select a database. Create table. Execute the query. Close the connection.

Locks in the Go language implement synchronized concurrent code to prevent data competition: Mutex: Mutex lock, which ensures that only one goroutine acquires the lock at the same time and is used for critical section control. RWMutex: Read-write lock, which allows multiple goroutines to read data at the same time, but only one goroutine can write data at the same time. It is suitable for scenarios that require frequent reading and writing of shared data.
