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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 }
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