Go language and MySQL database: How to perform data isolation?

With the advent of the Internet era, the development and use of big data applications are becoming more and more widespread. In this context, data isolation processing is also receiving more and more attention. As a popular high-performance development language, Go language also has good performance in data isolation processing. This article will introduce how the Go language and MySQL database perform data isolation processing so that everyone can better understand and apply it.

1. What is data isolation processing

Data isolation processing refers to a series of measures in the database to prevent multiple users/applications from interfering with each other. In the case of multiple users/applications using a database, in order to prevent data leakage and confusion, data isolation processing needs to be implemented when designing and developing the database.

Data isolation processing can be implemented through database operation level, transaction isolation level, table isolation level, record isolation level and other aspects.

2. How to implement data isolation processing in Go language

Go language is a programming language that can write efficient, reliable and high concurrency performance. In the Go language, the commonly used database is MySQL. Therefore, to implement data isolation processing in Go language, you need to understand the isolation level of MySQL and use the technology that combines Go language and MySQL to achieve data isolation processing.

1. MySQL isolation level

MySQL database supports multiple isolation levels, including read uncommitted, read committed, repeatable read and serialization. The characteristics of each isolation level are as follows:

Read uncommitted: Transactions can read uncommitted data, which may cause dirty reads, non-repeatable reads, and phantom reads. This level is generally not used.

Read Committed: Transactions can only read submitted data. Dirty reads will not occur, but non-repeatable reads and phantom reads may occur.

Repeatable read: The results of multiple reads within a transaction are consistent. Dirty reads and non-repeatable reads will not occur, but phantom reads may still occur.

Serialization: Transactions are executed serially, which solves the above problems, but has the lowest performance.

2. Isolation level when developing Go applications

In the development of a combination of MySQL and Go language, the isolation level can be achieved by setting the connection string. The isolation level has the following options:

READ COMMITTED (read committed)

REPEATABLE READ (repeatable read)

SERIALIZABLE (serialization)

Be careful when using multiple goroutines in parallel. To avoid deadlock, any two queries in the same goroutine should be queued serially and maintain consistency, even if they are different transactions.

3. How to use Go language to implement MySQL read and write isolation

By setting different isolation level parameters in the connection string, data isolation processing can be easily achieved. The following is a sample code that uses Go language to implement MySQL read and write isolation:

db, err := sql.Open("mysql", "username:password@tcp(127.0.0.1)/test?charset= utf8&parseTime=True&loc=Local")

if err != nil {

log.Fatal(err)

}

defer db.Close()

//Open transaction

tx, err := db.Begin()

if err != nil {

log.Fatal(err)

}

defer tx.Rollback()

// Set isolation level

_, err = tx.Exec("set transaction isolation level repeatable read")

if err != nil {

log.Fatal(err)

}

// Execute select statement

rows, err := tx.QueryContext(ctx, "SELECT id, name FROM users WHERE name=?", name)

if err != nil {

log.Fatal(err )

}

defer rows.Close()

// Loop to read the results

for rows.Next() {

var user User

err := rows.Scan(&user.ID, &user.Name)

if err != nil {

  log.Fatal(err)

}

users = append(users, user)

}

if rows.Err() != nil {

log.Fatal(rows.Err())

}

//Commit transaction

err = tx.Commit()

if err != nil {

log.Fatal( err)

}

3. Summary

This article introduces how the Go language and MySQL database perform data isolation processing by setting the isolation level of MySQL and connecting in the Go application The setting of strings can achieve read and write isolation of data. You need to pay attention to serial queries when using multiple goroutines to avoid deadlocks. Through the introduction of this article, I hope it can help everyone better implement data isolation processing and ensure data security.

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