在Ubuntu使用SQL Server创建Go应用程序的图文教程

作者:Lion?Long 时间:2024-01-15 10:50:50 

一、设置环境

在 Ubuntu 机器上安装 SQL Server 2017和安装运行 GoLang 所需的依赖项。

1.1、安装 SQL Server

为了确保 SQL Server 的最佳性能,计算机应至少具有 4 GB 的内存。

在Ubuntu使用SQL Server创建Go应用程序的图文教程

(1)注册 Microsoft Linux 存储库并添加其密钥。

curl https://packages.microsoft.com/keys/microsoft.asc | sudo apt-key add -
curl https://packages.microsoft.com/config/ubuntu/16.04/mssql-server-2017.list | sudo tee /etc/apt/sources.list.d/mssql-server-2017.list

(2)安装 SQL Server。

sudo apt-get update
sudo apt-get install mssql-server

执行结果:

Reading package lists... Done
Building dependency tree
Reading state information... Done
The following NEW packages will be installed:
  mssql-server
...
Unpacking mssql-server ...
Setting up mssql-server ...

(3)设置 SQL Server。

sudo /opt/mssql/bin/mssql-conf setup

执行结果:

Microsoft(R) SQL Server(R) Setup

To abort setup at anytime, press Ctrl-C.

The license terms for this product can be downloaded from http://go.microsoft.com/fwlink/?LinkId=746388 and
found in /usr/share/doc/mssql-server/LICENSE.TXT.

Do you accept the license terms? If so, please type YES:
Please enter a password for the system administrator (SA) account:
Please confirm the password for the system administrator (SA) account:

1.2、安装 GoLang

如果您的机器上已经安装了 Go,请跳过此步骤。

(1)下载安装。

curl -O https://storage.googleapis.com/golang/go1.8.linux-amd64.tar.gz
tar xvf go1.8.linux-amd64.tar.gz
sudo chown -R root:root ./go
sudo mv go /usr/local

(2)将这两行添加到 ~/.profile 文件中。

export GOPATH=$HOME/work
export PATH=$PATH:/usr/local/go/bin:$GOPATH/bin

1.3、安装 ODBC 驱动程序和 SQL 命令行实用工具 SQL 服务器

SQLCMD 是一个命令行工具,能够连接到 SQL Server 并运行查询。

(1)下载适用于操作系统版本的软件包。

sudo su
curl https://packages.microsoft.com/keys/microsoft.asc | apt-key add -

#Download appropriate package for the OS version
#Choose only ONE of the following, corresponding to your OS version

#Ubuntu 16.04
curl https://packages.microsoft.com/config/ubuntu/16.04/prod.list > /etc/apt/sources.list.d/mssql-release.list

#Ubuntu 18.04
curl https://packages.microsoft.com/config/ubuntu/18.04/prod.list > /etc/apt/sources.list.d/mssql-release.list

#Ubuntu 19.10
curl https://packages.microsoft.com/config/ubuntu/19.10/prod.list > /etc/apt/sources.list.d/mssql-release.list

exit
sudo apt-get update
sudo ACCEPT_EULA=Y apt-get install msodbcsql17
# optional: for bcp and sqlcmd
sudo ACCEPT_EULA=Y apt-get install mssql-tools
echo 'export PATH="$PATH:/opt/mssql-tools/bin"' >> ~/.bash_profile
echo 'export PATH="$PATH:/opt/mssql-tools/bin"' >> ~/.bashrc
source ~/.bashrc
# optional: for unixODBC development headers
sudo apt-get install unixodbc-dev

(2)安装 SQLCMD 后,可以使用以下命令连接到 SQL Server:

sqlcmd -S localhost -U sa -P yourpassword
1> # You're connected! Type your T-SQL statements here. Use the keyword 'GO' to execute each batch of statements.

(3)测试数据库。结果将打印到标准输出。

sqlcmd -S localhost -U sa -P yourpassword -Q "SELECT @@VERSION"

--------------------------------------------------------
Microsoft SQL Server vNext (CTP2.0) - 14.0.500.272 (X64)
    Apr 2 2023 11:44:40
    Copyright (c) Microsoft Corporation
    on Linux (Ubuntu 16.04)

1 rows(s) returned

Executed in 1 ns

至此,已成功在 Ubuntu 机器上安装 SQL Server 命令行实用程序,已经在 Ubuntu 计算机上成功安装并设置 GoLang 和 mssql-tools。现在拥有开始使用 SQL Server 编写 Go 应用程序所需的一切。

二、使用 SQL 服务器创建 Go 应用程序

安装 SQL Server 和 GoLang 后,现在可以继续创建新的 Go 项目。在这里,将探讨三个简单的应用程序。其中一个将连接并打印数据库服务器的SQL Server版本,另一个将执行基本的插入,更新,删除和选择操作,第三个将使用GORM,一种流行的对象关系映射(ORM)框架,用于Go执行相同的操作。

2.1、创建连接到 SQL Server 并执行查询的 Go 应用

(1)创建新的项目目录并安装 Go 依赖项。

cd ~/

#Create Project Directory
mkdir SqlServerSample
cd SqlServerSample

# Get and install the SQL Server driver for Go
go get github.com/denisenkom/go-mssqldb
go install github.com/denisenkom/go-mssqldb

(2)通过使用 sqlcmd 连接到 SQL Server 并执行以下命令,创建将用于本教程其余部分的数据库。不要忘记使用自己的用户名和密码更新用户名和密码。

sqlcmd -S 127.0.0.1 -U sa -P <你的> -Q "CREATE DATABASE SampleDB;"

(3)创建一个连接到 SQL Server 的简单 Go 应用。

在 SqlServerSample 文件夹中创建一个名为 connect.go 的文件。将以下内容复制并粘贴到文件中。不要忘记使用自己的用户名和密码更新用户名和密码。

此示例使用 GoLang 上下文方法来确保存在与数据库服务器的活动连接。

package main

import (
   _ "github.com/denisenkom/go-mssqldb"
   "database/sql"
   "context"
   "log"
   "fmt"
)

// Replace with your own connection parameters
var server = "localhost"
var port = 1433
var user = "sa"
var password = "xxxxxx"

var db *sql.DB

func main() {
   var err error

// Create connection string
   connString := fmt.Sprintf("server=%s;user id=%s;password=%s;port=%d",
       server, user, password, port)

// Create connection pool
   db, err = sql.Open("sqlserver", connString)
   if err != nil {
       log.Fatal("Error creating connection pool: " + err.Error())
   }
   log.Printf("Connected!\n")

// Close the database connection pool after program executes
   defer db.Close()

SelectVersion()
}

// Gets and prints SQL Server version
func SelectVersion(){
   // Use background context
   ctx := context.Background()

// Ping database to see if it's still alive.
   // Important for handling network issues and long queries.
   err := db.PingContext(ctx)
   if err != nil {
       log.Fatal("Error pinging database: " + err.Error())
   }

var result string

// Run query and scan for result
   err = db.QueryRowContext(ctx, "SELECT @@version").Scan(&result)
   if err != nil {
       log.Fatal("Scan failed:", err.Error())
   }
   fmt.Printf("%s\n", result)
}

(4)运行应用程序。

go run connect.go

执行结果:

Connected!
Microsoft SQL Server 2017 (CTP2.1) - 14.0.600.250 (X64)
        Apr 2 2017 12:21:23
        Copyright (C) 2017 Microsoft Corporation. All rights reserved.
        Developer Edition (64-bit) on Linux (Ubuntu 16.04.2 LTS)

(5)在 SqlServerSample 文件夹中创建一个名为 CreateTestData 的文件.sql。将以下 T-SQL 代码复制并粘贴到其中。这将创建一个架构、表并插入几行。

CREATE SCHEMA TestSchema;
GO

CREATE TABLE TestSchema.Employees (
 Id INT IDENTITY(1,1) NOT NULL PRIMARY KEY,
 Name NVARCHAR(50),
 Location NVARCHAR(50)
);
GO

INSERT INTO TestSchema.Employees (Name, Location) VALUES
(N'Jared', N'Australia'),
(N'Nikita', N'India'),
(N'Tom', N'Germany');
GO

SELECT * FROM TestSchema.Employees;
GO

(6)使用 sqlcmd 连接到数据库并运行 SQL 脚本以创建架构、表并插入一些行。

sqlcmd -S 127.0.0.1 -U sa -P <你的> -d SampleDB -i ./CreateTestData.sql

执行结果:

CREATE SCHEMA TestSchema;

Executed in 0 ms
CREATE TABLE TestSchema.Employees (
 Id INT IDENTITY(1,1) NOT NULL PRIMARY KEY,
 Name NVARCHAR(50),
 Location NVARCHAR(50)
);

Executed in 0 ms
INSERT INTO TestSchema.Employees (Name, Location) VALUES
(N'Jared', N'Australia'),
(N'Nikita', N'India'),
(N'Tom', N'Germany');

Executed in 0 ms
SELECT * FROM TestSchema.Employees;
Id  Name    Location
--  ------  ---------
1   Jared   Australia
2   Nikita  India
3   Tom     Germany

3 row(s) returned

Executed in 1 ms

(7)在 SqlServerSample 文件夹中创建一个名为 crud.go 的新文件。将以下代码复制并粘贴到其中。这将插入、更新、删除和读取几行。

package main

import (
   _ "github.com/denisenkom/go-mssqldb"
   "database/sql"
   "context"
   "log"
   "fmt"
   "errors"
)

var db *sql.DB

var server = "localhost"
var port = 1433
var user = "sa"
var password = "你的"
var database = "SampleDB"

func main() {
   // Build connection string
   connString := fmt.Sprintf("server=%s;user id=%s;password=%s;port=%d;database=%s;",
       server, user, password, port, database)

var err error

// Create connection pool
   db, err = sql.Open("sqlserver", connString)
   if err != nil {
       log.Fatal("Error creating connection pool: ", err.Error())
   }
   ctx := context.Background()
   err = db.PingContext(ctx)
   if err != nil {
       log.Fatal(err.Error())
   }
   fmt.Printf("Connected!\n")

// Create employee
   createID, err := CreateEmployee("Jake", "United States")
   if err != nil {
       log.Fatal("Error creating Employee: ", err.Error())
   }
   fmt.Printf("Inserted ID: %d successfully.\n", createID)

// Read employees
   count, err := ReadEmployees()
   if err != nil {
       log.Fatal("Error reading Employees: ", err.Error())
   }
   fmt.Printf("Read %d row(s) successfully.\n", count)

// Update from database
   updatedRows, err := UpdateEmployee("Jake", "Poland")
   if err != nil {
       log.Fatal("Error updating Employee: ", err.Error())
   }
   fmt.Printf("Updated %d row(s) successfully.\n", updatedRows)

// Delete from database
   deletedRows, err := DeleteEmployee("Jake")
   if err != nil {
       log.Fatal("Error deleting Employee: ", err.Error())
   }
   fmt.Printf("Deleted %d row(s) successfully.\n", deletedRows)
}

// CreateEmployee inserts an employee record
func CreateEmployee(name string, location string) (int64, error) {
   ctx := context.Background()
   var err error

if db == nil {
       err = errors.New("CreateEmployee: db is null")
       return -1, err
   }

// Check if database is alive.
   err = db.PingContext(ctx)
   if err != nil {
       return -1, err
   }

tsql := "INSERT INTO TestSchema.Employees (Name, Location) VALUES (@Name, @Location); select convert(bigint, SCOPE_IDENTITY());"

stmt, err := db.Prepare(tsql)
   if err != nil {
       return -1, err
   }
   defer stmt.Close()

row := stmt.QueryRowContext(
       ctx,
       sql.Named("Name", name),
       sql.Named("Location", location))
   var newID int64
   err = row.Scan(&newID)
   if err != nil {
       return -1, err
   }

return newID, nil
}

// ReadEmployees reads all employee records
func ReadEmployees() (int, error) {
   ctx := context.Background()

// Check if database is alive.
   err := db.PingContext(ctx)
   if err != nil {
       return -1, err
   }

tsql := fmt.Sprintf("SELECT Id, Name, Location FROM TestSchema.Employees;")

// Execute query
   rows, err := db.QueryContext(ctx, tsql)
   if err != nil {
       return -1, err
   }

defer rows.Close()

var count int

// Iterate through the result set.
   for rows.Next() {
       var name, location string
       var id int

// Get values from row.
       err := rows.Scan(&id, &name, &location)
       if err != nil {
           return -1, err
       }

fmt.Printf("ID: %d, Name: %s, Location: %s\n", id, name, location)
       count++
   }

return count, nil
}

// UpdateEmployee updates an employee's information
func UpdateEmployee(name string, location string) (int64, error) {
   ctx := context.Background()

// Check if database is alive.
   err := db.PingContext(ctx)
   if err != nil {
       return -1, err
   }

tsql := fmt.Sprintf("UPDATE TestSchema.Employees SET Location = @Location WHERE Name = @Name")

// Execute non-query with named parameters
   result, err := db.ExecContext(
       ctx,
       tsql,
       sql.Named("Location", location),
       sql.Named("Name", name))
   if err != nil {
       return -1, err
   }

return result.RowsAffected()
}

// DeleteEmployee deletes an employee from the database
func DeleteEmployee(name string) (int64, error) {
   ctx := context.Background()

// Check if database is alive.
   err := db.PingContext(ctx)
   if err != nil {
       return -1, err
   }

tsql := fmt.Sprintf("DELETE FROM TestSchema.Employees WHERE Name = @Name;")

// Execute non-query with named parameters
   result, err := db.ExecContext(ctx, tsql, sql.Named("Name", name))
   if err != nil {
       return -1, err
   }

return result.RowsAffected()
}

(8)运行 crud.go 应用以查看结果。

go run crud.go

执行结果:

Connected!
Inserted ID: 4 successfully.
ID: 1, Name: Jared, Location: Australia
ID: 2, Name: Nikita, Location: India
ID: 3, Name: Tom, Location: Germany
ID: 4, Name: Jake, Location: United States
Read 4 row(s) successfully.
Updated 1 row(s) successfully.
Deleted 1 row(s) successfully.

2.2、创建一个使用 GORM 连接到 SQL Server 的 Go 应用程序

(1)创建应用目录并初始化 Go 依赖项。

cd ~/
mkdir SqlServerGormSample
cd SqlServerGormSample

# Get and install the SQL Server driver for Go
go get github.com/denisenkom/go-mssqldb
go install github.com/denisenkom/go-mssqldb

(2)将以下内容粘贴到名为orm.go的文件中。确保将密码变量替换为您自己的变量。

package main

import (
   "fmt"
   "github.com/jinzhu/gorm"
   _ "github.com/jinzhu/gorm/dialects/mssql"
   "log"
)

var server = "localhost"
var port = 1433
var user = "sa"
var password = "你的"
var database = "SampleDB"

// Define a User model struct
type User struct {
   gorm.Model
   FirstName string
   LastName string
}

// Define a Task model struct
type Task struct {
   gorm.Model
   Title string
   DueDate string
   IsComplete bool
   UserID  uint
}

// Read and print all the tasks
func ReadAllTasks(db *gorm.DB){
   var users []User
   var tasks []Task
   db.Find(&users)

for _, user := range users{
       db.Model(&user).Related(&tasks)
       fmt.Printf("%s %s's tasks:\n", user.FirstName, user.LastName)
       for _, task := range tasks {
           fmt.Printf("Title: %s\nDueDate: %s\nIsComplete:%t\n\n",
                           task.Title, task.DueDate, task.IsComplete)
       }
   }
}

// Update a task based on a user
func UpdateSomeonesTask(db *gorm.DB, userId int){
   var task Task
   db.Where("user_id = ?", userId).First(&task).Update("Title", "Buy donuts for Luis")
   fmt.Printf("Title: %s\nDueDate: %s\nIsComplete:%t\n\n",
                   task.Title, task.DueDate, task.IsComplete)
}

// Delete all the tasks for a user
func DeleteSomeonesTasks(db *gorm.DB, userId int){
   db.Where("user_id = ?", userId).Delete(&Task{})
   fmt.Printf("Deleted all tasks for user %d", userId)
}

func main() {
   connectionString := fmt.Sprintf("server=%s;user id=%s;password=%s;port=%d;database=%s",
                                       server, user, password, port, database)
   db, err := gorm.Open("mssql", connectionString)

if err != nil {
       log.Fatal("Failed to create connection pool. Error: " + err.Error())
   }
   gorm.DefaultCallback.Create().Remove("mssql:set_identity_insert")
   defer db.Close()

fmt.Println("Migrating models...")
   db.AutoMigrate(&User{})
   db.AutoMigrate(&Task{})

// Create awesome Users
   fmt.Println("Creating awesome users...")
   db.Create(&User{FirstName: "Andrea", LastName: "Lam"})      //UserID: 1
   db.Create(&User{FirstName: "Meet", LastName: "Bhagdev"})    //UserID: 2
   db.Create(&User{FirstName: "Luis", LastName: "Bosquez"})    //UserID: 3

// Create appropriate Tasks for each user
   fmt.Println("Creating new appropriate tasks...")
   db.Create(&Task{
       Title: "Do laundry", DueDate: "2017-03-30", IsComplete: false, UserID: 1})
   db.Create(&Task{
       Title: "Mow the lawn", DueDate: "2017-03-30", IsComplete: false, UserID: 2})
   db.Create(&Task{
       Title: "Do more laundry", DueDate: "2017-03-30", IsComplete: false, UserID: 3})
   db.Create(&Task{
       Title: "Watch TV", DueDate: "2017-03-30", IsComplete: false, UserID: 3})

// Read
   fmt.Println("\nReading all the tasks...")
   ReadAllTasks(db)

// Update - update Task title to something more appropriate
   fmt.Println("Updating Andrea's task...")
   UpdateSomeonesTask(db, 1)

// Delete - delete Luis's task
   DeleteSomeonesTasks(db, 3)
}

(3)运行 orm.go 应用。

go run orm.go

执行结果:

[info] removing callback `mssql:set_identity_insert` from C:/Projects/golang-experiments/tutorials/orm.go:70
Migrating models...
Creating awesome users...
Creating new appropriate tasks...

Reading all the tasks...
Andrea Lam's tasks:
Title: Do laundry
DueDate: 2017-03-30
IsComplete:false

Meet Bhagdev's tasks:
Title: Mow the lawn
DueDate: 2017-03-30
IsComplete:false

Luis Bosquez's tasks:
Title: Do more laundry
DueDate: 2017-03-30
IsComplete:false

Title: Watch TV
DueDate: 2017-03-30
IsComplete:false

Updating Andrea's task...
Title: Buy donuts for Luis
DueDate: 2017-03-30
IsComplete:false

Deleted all tasks for user 3

三、让 Go 应用的速度提高 100 倍

已了解基础知识,接下来可以了解如何使用 SQL Server 改进应用。通过列存储索引的简单示例,以及它们如何提高数据处理速度。与传统行存储索引相比,列存储索引在分析工作负荷上可实现高达 100 倍的性能,并将数据压缩提高多达 10 倍。

3.1、使用 sqlcmd 创建一个包含 5 万个的新表

(1)切换到主目录并为项目创建一个文件夹。

cd ~/mkdir SqlServerColumnstoreSamplecd SqlServerColumnstoreSample

(2)在 SqlServerColumnstoreSample 文件夹中创建一个名为 CreateSampleTable 的新文件.sql文件。将下面的 T-SQL 代码粘贴到新的 SQL 文件中。保存并关闭文件。

WITH a AS (SELECT * FROM (VALUES(1),(2),(3),(4),(5),(6),(7),(8),(9),(10)) AS a(a))
SELECT TOP(5000000)
ROW_NUMBER() OVER (ORDER BY a.a) AS OrderItemId
,a.a + b.a + c.a + d.a + e.a + f.a + g.a + h.a AS OrderId
,a.a * 10 AS Price
,CONCAT(a.a, N' ', b.a, N' ', c.a, N' ', d.a, N' ', e.a, N' ', f.a, N' ', g.a, N' ', h.a) AS ProductName
INTO Table_with_5M_rows
FROM a, a AS b, a AS c, a AS d, a AS e, a AS f, a AS g, a AS h;

(3)使用 sqlcmd 连接到数据库并运行 SQL 脚本以创建包含 5 万行的表。这可能需要几分钟才能运行。

sqlcmd -S 127.0.0.1 -U sa -P <你的> -d SampleDB -i ./CreateSampleTable.sql

3.2、创建一个 Go 应用程序,用于查询此表并测量所花费的时间

(1)在项目文件夹中,初始化 Go 依赖项。

go get github.com/denisenkom/go-mssqldb
go install github.com/denisenkom/go-mssqldb

(2)在您的文件夹中创建一个名为 columnstore.go 的文件。

package main

import (
   _ "github.com/denisenkom/go-mssqldb"
   "database/sql"
   "context"
   "log"
   "fmt"
   "time"
)

var server = "localhost"
var port = 1433
var user = "sa"
var password = "你的"
var database = "SampleDB"

var db *sql.DB

// Delete an employee from database
func ExecuteAggregateStatement(db *sql.DB) {
   ctx := context.Background()

// Ping database to see if it's still alive.
   // Important for handling network issues and long queries.
   err := db.PingContext(ctx)
   if err != nil {
       log.Fatal("Error pinging database: " + err.Error())
   }

var result string

// Execute long non-query to aggregate rows
   err = db.QueryRowContext(ctx, "SELECT SUM(Price) as sum FROM Table_with_5M_rows").Scan(&result)
   if err != nil {
       log.Fatal("Error executing query: " + err.Error())
   }

fmt.Printf("Sum: %s\n", result)
}

func main() {
   // Connect to database
   connString := fmt.Sprintf("server=%s;user id=%s;password=%s;port=%d;database=%s;",
                               server, user, password, port, database)
   var err error

// Create connection pool
   db, err = sql.Open("sqlserver", connString)
   if err != nil {
       log.Fatal("Open connection failed:", err.Error())
   }
   fmt.Printf("Connected!\n")

defer db.Close()

t1 := time.Now()
   fmt.Printf("Start time: %s\n", t1)

ExecuteAggregateStatement(db)

t2 := time.Since(t1)
   fmt.Printf("The query took: %s\n", t2)
}

3.3、测量运行查询所需的时间

从终端运行 Go 应用。

go run columnstore.go

执行结果:

Connected!
Start time: 2023-04-02 15:33:50.0340976 -0700 PDT
Sum: 50000000
The query took: 601.7463ms

3.4、使用 SQLCMD 向表中添加列存储索引

运行以下命令以在表上创建列存储索引:

sqlcmd -S localhost -U sa -P <你的> -d SampleDB -Q "CREATE CLUSTERED COLUMNSTORE INDEX Columnstoreindex ON Table_with_5M_rows;"

3.5、重新运行 columnstore.go 脚本,并注意这次完成查询所花费的时间

go run columnstore.go

Connected!
Start time: 2017-06-05 16:35:02.5409285 -0700 PDT
Sum: 50000000
The query took: 86.9826ms

来源:https://blog.csdn.net/Long_xu/article/details/129910894

标签:ubuntu,sqlserver,go应用
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