一、Go语言中查询MsSQL数据库：
// main.go
package main
import (
"database/sql"
"fmt"
"log"
"time"
_ "github.com/denisenkom/go-mssqldb"
)
func main() {
var isdebug = true
var server = "localhost"
var port = 1433
var user = "sa"
var password = "123456xx"
var database = "MyTestDB"
//连接字符串
connString := fmt.Sprintf("server=%s;port%d;database=%s;user id=%s;password=%s", server, port, database, user, password)
if isdebug {
fmt.Println(connString)
}
//建立连接
conn, err := sql.Open("mssql", connString)
if err != nil {
log.Fatal("Open Connection failed:", err.Error())
}
defer conn.Close()
//产生查询语句的Statement
stmt, err := conn.Prepare(`select * from [account_region]`)
if err != nil {
log.Fatal("Prepare failed:", err.Error())
}
defer stmt.Close()
//通过Statement执行查询
rows, err := stmt.Query()
if err != nil {
log.Fatal("Query failed:", err.Error())
}
//建立一个列数组
cols, err := rows.Columns()
var colsdata = make([]interface{}, len(cols))
for i := 0; i < len(cols); i++ {
colsdata[i] = new(interface{})
fmt.Print(cols[i])
fmt.Print("\t")
}
fmt.Println()
//遍历每一行
for rows.Next() {
rows.Scan(colsdata...) //将查到的数据写入到这行中
PrintRow(colsdata) //打印此行
}
defer rows.Close()
}
//打印一行记录，传入一个行的所有列信息
func PrintRow(colsdata []interface{}) {
for _, val := range colsdata {
switch v := (*(val.(*interface{}))).(type) {
case nil:
fmt.Print("NULL")
case bool:
if v {
fmt.Print("True")
} else {
fmt.Print("False")
}
case []byte:
fmt.Print(string(v))
case time.Time:
fmt.Print(v.Format("2016-01-02 15:05:05.999"))
default:
fmt.Print(v)
}
fmt.Print("\t")
}
fmt.Println()
}
二、效果：
server=localhost;port1433;database=MyTestDB;user id=sa;password=123456xx region_id provider_id region_name billing_region_name description 1 5 us-east-1 US-EAST AWS US EAST Data Center 2 5 us-west-2 US_WEST_OREGON AWS Oregon Data Center 3 5 ap-southeast-1 ASIA_SIGN AWS Singapore Data Center 4 5 ap-southeast-2 ASIA_SYDENY AWS Sydney Data Center 5 5 ap-northeast-1 ASIA_TOKYO AWS Tokyo Data Center 6 5 eu-central-1 EU_FRANKFURT AWS Frankfurt Data Center 7 5 eu-west-1 EU_IRELAND AWS Europe Data Center 8 5 us-west-1 US_WEST_CA AWS CA Data Center 9 5 sa-east-1 SOUA_SAOP AWS Sao Paulo Data Center 10 5 ap-northeast-2 ASIA_SEOUL AWS Seoul Data Center 11 5 ap-south-1 ASIA_MUMBAI AWS Mumbai Data Center 12 2 Central US US-CENTRAL Azure Center US Data Center 13 2 North Central US US-NORTH-CENTRAL Azure North US Data Center 14 2 East US US-EAST Azure East US Data Center 15 2 South Central US US-SOUTH-CENTRAL Azure South US Data Center 16 2 West US US-WEST Azure West US Data Center 17 2 North Europe EUROPE-NORTH Azure North Europe Data Center 18 2 West Europe EUROPE-WEST Azure North Europe Data Center 19 2 East Asia ASIA-PACIFIC-EAST Azure East Aisa Data Center 20 2 Southeast Asia ASIA-PACIFIC-SOUTHEAST Azure Singapore Data Center 21 2 Japan East JAPAN-EAST Azure East Japan Data Center 22 2 Japan West JAPAN-WEST Azure West Japan Data Center 23 2 Brazil South BRAZIL-SOUTH Azure Sao Paulo Data Center 24 2 Australia East AUSTRALIA-EAST Azure East Australia Data Center 25 2 Australia Southeast AUSTRALIA-SOUTHEAST Azure Southeast Australia Data Center 26 2 East US 2 US-EAST-2 Azure East US Data Center 2 27 2 US Gov Virginia USGOV-VIRGINIA Azure US Virginia Government Data Center 28 2 US Gov Iowa USGOV-IOWA Azure US Iowa Government Data Center 29 2 Canada Central CANADA-CENTRAL Azure Central Canada 30 2 Canada East CANADA-EAST Azure East Canada 31 2 Germany Central GERMANY-CENTRAL Azure Central Germany 32 2 Germany Northeast GERMANY-NORTHEAST Azure Northeast Germany 33 2 Korea Central KOREA-CENTRAL Azure Central Korea 34 3 China North CN-BEIJING Azure Mooncake Beijing Data Center 35 3 China East CN-SHANGHAI Azure Mooncake Shanghai Data Center 36 4 cn-hangzhou CN_HANGZHOU Aliyun Hangzhou Data Center 37 4 cn-beijing CN_BEIJING Aliyun Beijing Data Center 38 4 cn-shenzhen CN_SHENZHEN Aliyun Shenzhen Data Center 39 4 cn-qingdao CN_QINGDAO Aliyun Qingdao Data Center 40 4 cn-hongkong HONGKONG Aliyun Hong Kong Data Center 41 4 us-silicon-valley US-Silicon_Valley Aliyun Silicon Valley Data Center
三、使用实体实现的方法：
package main
import (
"database/sql"
"fmt"
"log"
_ "github.com/denisenkom/go-mssqldb"
)
type AccessRegion struct {
region_id int64
provider_id int64
region_name string
sub_region_names string
billing_region_name string
description string
}
func main() {
var server = "localhost"
var port = 1433
var user = "sa"
var password = "123456xxx"
var database = "MyTestDB"
//连接字符串
connString := fmt.Sprintf("server=%s;port%d;database=%s;user id=%s;password=%s", server, port, database, user, password)
//建立连接
db, err := sql.Open("mssql", connString)
if err != nil {
log.Fatal("Open Connection failed:", err.Error())
}
defer db.Close()
//通过连接对象执行查询
rows, err := db.Query(`select * from [account_region]`)
if err != nil {
log.Fatal("Query failed:", err.Error())
}
defer rows.Close()
var rowsData []*AccessRegion
//遍历每一行
for rows.Next() {
var row = new(AccessRegion)
rows.Scan(&row.region_id, &row.provider_id, &row.region_name, &row.billing_region_name, &row.description)
rowsData = append(rowsData, row)
}
//打印数组
for _, ar := range rowsData {
fmt.Print(ar.region_id, "\t", ar.provider_id, "\t", ar.region_name, "\t", ar.billing_region_name, "\t", ar.description)
fmt.Println()
}
}
四、使用ODBC的实现方式
package main
import (
"database/sql"
"fmt"
"log"
_ "github.com/alexbrainman/odbc"
)
type AccessRegion struct {
region_id int64
provider_id int64
region_name string
sub_region_names string
billing_region_name string
description string
}
func main() {
db, err := sql.Open("odbc", "driver={sql server};server=localhost;port=1433;uid=sa;pwd=123456xxx;database=MyTestDB")
if err != nil {
fmt.Printf(err.Error())
}
//通过连接对象执行查询
rows, err := db.Query(`select * from [account_region]`)
if err != nil {
log.Fatal("Query failed:", err.Error())
}
defer rows.Close()
var rowsData []*AccessRegion
//遍历每一行
for rows.Next() {
var row = new(AccessRegion)
rows.Scan(&row.region_id, &row.provider_id, &row.region_name, &row.billing_region_name, &row.description)
rowsData = append(rowsData, row)
}
//打印数组
for _, ar := range rowsData {
fmt.Print(ar.region_id, "\t", ar.provider_id, "\t", ar.region_name, "\t", ar.billing_region_name, "\t", ar.description)
fmt.Println()
}
}
五、最终转为Map集合
package main
import (
"database/sql"
"fmt"
"log"
_ "github.com/alexbrainman/odbc"
"github.com/demdxx/gocast"
)
func main() {
db, err := sql.Open("odbc", "driver={sql server};server=localhost;port=1433;uid=sa;pwd=123456xxx;database=MyTestDB")
if err != nil {
fmt.Printf(err.Error())
}
//通过连接对象执行查询
rows, err := db.Query(`select * from [account_region]`)
if err != nil {
log.Fatal("Query failed:", err.Error())
}
defer rows.Close()
//遍历每一行
colNames, _ := rows.Columns()
var cols = make([]interface{}, len(colNames))
for i := 0; i < len(colNames); i++ {
cols[i] = new(interface{})
}
var maps = make([]map[string]interface{}, 0)
for rows.Next() {
err := rows.Scan(cols...)
if err != nil {
log.Fatal(err.Error())
}
var rowMap = make(map[string]interface{})
for i := 0; i < len(colNames); i++ {
rowMap[colNames[i]] = convertRow(*(cols[i].(*interface{})))
}
maps = append(maps, rowMap)
}
//打印数组
for _, rowMap := range maps {
for k, v := range rowMap {
fmt.Print(k, ":", v, "\t")
}
fmt.Println()
}
}
func convertRow(row interface{}) interface{} {
switch row.(type) {
case int:
return gocast.ToInt(row)
case string:
return gocast.ToString(row)
case []byte:
return gocast.ToString(row)
case bool:
return gocast.ToBool(row)
}
return row
}