Table of Contents
1. Create a database connection
2. Write a stored procedure
3. Parameterized stored procedures
Conclusion
Home Backend Development Golang Best Practices: Building Stored Procedures with Golang

Best Practices: Building Stored Procedures with Golang

Feb 24, 2024 pm 04:57 PM
Actual combat golang stored procedure

Best Practices: Building Stored Procedures with Golang

Building stored procedures is a very important part of database development and can be used to handle complex data operation logic. In practical applications, using Golang to write stored procedures is an efficient and flexible way. This article will introduce the best practices on how to use Golang to build stored procedures and provide specific code examples.

Before starting, you first need to ensure that the Golang environment is installed and connected to the target database. This article will demonstrate using the MySQL database as an example.

1. Create a database connection

First, we need to import the corresponding database driver package. The MySQL driver commonly used in Golang is github.com/go-sql-driver/mysql , we can use the following command to install:

go get -u github.com/go-sql-driver/mysql
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Next, we can use the following code example to create a database connection:

package main

import (
    "database/sql"
    _ "github.com/go-sql-driver/mysql"
)

func main() {
    db, err := sql.Open("mysql", "username:password@tcp(127.0.0.1:3306)/database_name")
    if err != nil {
        panic(err.Error())
    }
    defer db.Close()
}
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2. Write a stored procedure

Next, we will use Golang to write a simple stored procedure example that queries the data in the database and returns the results. The following is a sample code:

package main

import (
    "database/sql"
    "fmt"
    _ "github.com/go-sql-driver/mysql"
)

func main() {
    db, err := sql.Open("mysql", "username:password@tcp(127.0.0.1:3306)/database_name")
    if err != nil {
        panic(err.Error())
    }
    defer db.Close()

    _, err = db.Exec(`
        CREATE PROCEDURE GetUsers()
        BEGIN
            SELECT * FROM users;
        END;
    `)
    if err != nil {
        panic(err.Error())
    }

    rows, err := db.Query("CALL GetUsers()")
    if err != nil {
        panic(err.Error())
    }

    defer rows.Close()

    for rows.Next() {
        var id int
        var name string
        err = rows.Scan(&id, &name)
        if err != nil {
            panic(err.Error())
        }
        fmt.Println(id, name)
    }
}
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In the above code, we first create a stored procedure named GetUsers, and then pass the CALL GetUsers() statement Call the stored procedure and print the results.

3. Parameterized stored procedures

In addition to simple query operations, we can also write stored procedures with parameters. Here is a sample code with parameters:

package main

import (
    "database/sql"
    "fmt"
    _ "github.com/go-sql-driver/mysql"
)

func main() {
    db, err := sql.Open("mysql", "username:password@tcp(127.0.0.1:3306)/database_name")
    if err != nil {
        panic(err.Error())
    }
    defer db.Close()

    _, err = db.Exec(`
        CREATE PROCEDURE GetUserByID(IN id INT)
        BEGIN
            SELECT * FROM users WHERE id = id;
        END;
    `)
    if err != nil {
        panic(err.Error())
    }

    var userId int = 1
    rows, err := db.Query("CALL GetUserByID(?)", userId)
    if err != nil {
        panic(err.Error())
    }

    defer rows.Close()

    for rows.Next() {
        var id int
        var name string
        err = rows.Scan(&id, &name)
        if err != nil {
            panic(err.Error())
        }
        fmt.Println(id, name)
    }
}
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In the above code, we have created a stored procedure named GetUserByID that receives an idParameter, and query the corresponding user data based on this parameter.

Conclusion

Through the above examples, we have learned how to use Golang to build stored procedures, including creating database connections, writing stored procedures for simple queries, and stored procedures with parameters. In actual applications, more complex stored procedures can be written according to specific business needs to implement data operation logic. I hope these code examples are helpful and happy coding!

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