How to implement multi-version concurrency control and snapshot query of data in MySQL?

How to implement multi-version concurrency control and snapshot query of data in MySQL?

As databases become more and more widely used, data concurrency control and snapshot query have become one of the important research topics in the database field. As a popular open source relational database management system, MySQL also provides corresponding mechanisms to implement multi-version concurrency control (MVCC) and snapshot query of data. This article will introduce the basic principles of MVCC and snapshot queries in MySQL, and give corresponding code examples.

First, let’s briefly introduce the principle of MVCC. MVCC is a technology used to implement concurrency control, which enables the concurrent execution of multiple transactions by creating snapshots of data when a transaction reads the data, and creating a new version when the transaction updates the data. In MySQL, each row of data has an implicit version number, and the version number is used to identify different versions of the data. When a transaction reads data, it can only read data with a version number less than or equal to the transaction start time. When a transaction updates data, a new version is created for the updated data, with a version number greater than the start time of all committed transactions. In this way, multiple transactions can read and modify the same piece of data at the same time without interfering with each other.

Next, let’s take a look at the implementation of snapshot query in MySQL. Snapshot query means that when querying data in a transaction, the transaction can only see the data that has been committed at the beginning of the transaction, but not other uncommitted data. In MySQL, snapshot queries can be implemented by setting the isolation level of the transaction. MySQL provides four isolation levels: READ UNCOMMITTED, READ COMMITTED, REPEATABLE READ and SERIALIZABLE. Among them, READ COMMITTED is the default isolation level of MySQL.

The following is a simple sample code that demonstrates the basic usage of MVCC and snapshot queries in MySQL:

# 连接数据库
import pymysql

conn = pymysql.connect(host='localhost', port=3306, user='root', password='password', db='test')

# 创建游标
cur = conn.cursor()

# 设置隔离级别为READ COMMITTED
cur.execute("SET TRANSACTION ISOLATION LEVEL READ COMMITTED")

# 开始事务
cur.execute("START TRANSACTION")

# 查询数据
cur.execute("SELECT * FROM students WHERE id=1")

# 提交事务
cur.execute("COMMIT")

# 关闭游标和连接
cur.close()
conn.close()

In the above code, first connect to the MySQL database through the pymysql library. Then, by setting the isolation level of the cursor to READ COMMITTED, the snapshot query function is implemented. Next, query the student information with id 1 by executing the SELECT statement. Finally, commit the transaction and close the cursor and connection.

To summarize, multi-version concurrency control and snapshot query of data in MySQL are implemented through MVCC technology. By setting the transaction isolation level and using appropriate statements to operate the database, concurrent execution of multiple transactions and snapshot queries can be achieved. In actual development, developers need to choose the appropriate isolation level and operation method based on business needs and system performance to achieve the best concurrency performance and data consistency.

In short, MVCC and snapshot queries in MySQL provide effective solutions for database concurrency control. By understanding and using these features, the concurrency performance and data consistency of the database can be improved to meet actual development needs.

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