Golang development: Implementing high-performance database connection pool

Golang development: To implement high-performance database connection pool, specific code examples are required

Introduction:
In most applications, the database plays a role Very important role. For high-concurrency applications, database connection pools can provide better performance and efficiency. This article will introduce how to use Golang to write a high-performance database connection pool and provide code examples.

1. What is a database connection pool?
The database connection pool is a collection of cached database connections, which can provide reusable database connections for application use. Before using the database connection pool, the application needed to create a new connection every time it needed to connect to the database and close the connection after use. In this method, frequent creation and closing of connections will lead to performance degradation in high concurrency situations.
The purpose of the database connection pool is to establish a set of long-term connections between the application and the database, and manage the allocation and release of these connections, thereby improving application performance.

2. Golang implementation of database connection pool example:

The following is a simple database connection pool example written in Golang, the code is as follows:

package main

import (
    "database/sql"
    "fmt"
    "sync"

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

type DBPool struct {
    queue chan *sql.DB
    wg    sync.WaitGroup
}

func NewDBPool(dataSourceName string, poolSize int) (*DBPool, error) {
    queue := make(chan *sql.DB, poolSize)
    for i := 0; i < poolSize; i++ {
        db, err := sql.Open("mysql", dataSourceName)
        if err != nil {
            return nil, err
        }
        queue <- db
    }
    return &DBPool{
        queue: queue,
    }, nil
}

func (p *DBPool) Get() *sql.DB {
    p.wg.Add(1)
    db := <-p.queue
    return db
}

func (p *DBPool) Put(db *sql.DB) {
    p.queue <- db
    p.wg.Done()
}

func main() {
    // 数据库连接信息
    dataSourceName := "username:password@tcp(localhost:3306)/database"

    // 创建数据库连接池
    pool, err := NewDBPool(dataSourceName, 10)
    if err != nil {
        fmt.Println("Failed to create DBPool:", err)
        return
    }

    // 从连接池获取连接
    conn := pool.Get()
    defer conn.Close()

    // 执行数据库操作
    rows, err := conn.Query("SELECT * FROM users")
    if err != nil {
        fmt.Println("Failed to query:", err)
        return
    }
    defer rows.Close()

    // 处理查询结果
    for rows.Next() {
        var id int
        var name string
        err = rows.Scan(&id, &name)
        if err != nil {
            fmt.Println("Failed to scan:", err)
            return
        }
        fmt.Println(id, name)
    }

    // 归还连接到连接池
    pool.Put(conn)

    // 等待所有连接释放
    pool.wg.Wait()
}

3. Code analysis:

1. Main code logic:
   Mainly includes DBPool structure and NewDBPool, Get, Put method.
2. DBPool The structure contains a queue queue and a synchronization waiting group wg.
3. NewDBPool The method is used to create a new database connection pool and initially add the specified number of database connections to the queue.
4. Get method is used to obtain a database connection from the connection pool. When acquiring a connection, try to increase the count of the synchronization wait group by p.wg.Add(1). The
5. Put method is used to return a database connection to the connection pool and reduce the count value of the synchronization waiting group through p.wg.Done().
6. Main function logic:
   The main function first creates a database connection pool instancepool, and then obtains a database from the connection pool through pool.Get() Connect, and release the connection through the defer keyword after use.

4. Summary:
Through the above sample code, we can learn how to use Golang to write a high-performance database connection pool. In actual applications, further optimization and expansion can be carried out according to needs, such as adding heartbeat detection, connection reuse and other functions to meet the needs of different scenarios. Through reasonable use of database connection pools, application performance and efficiency can be improved. Hope this article can be helpful to you.

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