```golang type Users struct { ID int64 `json:"id"` Username string `json:"username"` Password string `json:"password"` Tel string `json:"tel"` } rows, err := db.Query("select * from users") // if err != nil { fmt.Println(err) } defer rows.Close() user := Users{} ``` What should I do if I want to auto scan values from rows to user

2023-07-01by@tim&@ChatGPT.Model: gpt-3.5
tim
type Users struct {
    ID            int64  `json:"id"`                      
    Username      string `json:"username"`           
    Password      string `json:"password"`           
    Tel           string `json:"tel"`                   
}    

        rows, err := db.Query("select * from users")  // 
        if err != nil {
            fmt.Println(err)
        }
        defer rows.Close()
user := Users{}

What should I do if I want to auto scan values from rows to user

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To auto scan values from the rows to the user struct, you can use the Scan method of the rows object. The Scan method takes a variadic parameter of pointers to the values you want to scan into.

Here's an example of how you can scan the values from rows into the user struct:

for rows.Next() {
    err := rows.Scan(&user.ID, &user.Username, &user.Password, &user.Tel)
    if err != nil {
        fmt.Println(err)
    }
    // Do something with the scanned user object
    fmt.Println(user)
}

if err = rows.Err(); err != nil {
    fmt.Println(err)
}

In the above code, the Scan method is used to scan the values from each row into the corresponding fields of the user struct. You need to pass the address of each field as an argument to the Scan method (using the & operator).

Note that you need to iterate over the rows using a loop since the Scan method only scans one row at a time. Finally, you can handle any errors using the rows.Err() method.

tim

use reflect so I do not need to specify columns

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To automatically scan values from rows into the user struct without specifying columns, you can use reflection in Go. Here's an example of how you can achieve this:

import (
    "database/sql"
    "fmt"
    "reflect"
)

type Users struct {
    ID       int64  `json:"id"`
    Username string `json:"username"`
    Password string `json:"password"`
    Tel      string `json:"tel"`
}

rows, err := db.Query("SELECT * FROM users")
if err != nil {
    fmt.Println(err)
}
defer rows.Close()

// Get the type and fields of the Users struct
userType := reflect.TypeOf(Users{})
fields := make([]interface{}, userType.NumField())

for rows.Next() {
    // Create a new instance of the Users struct
    user := reflect.New(userType).Elem()

    // Get the pointers to the fields of the Users struct
    for i := 0; i < userType.NumField(); i++ {
        fields[i] = user.Field(i).Addr().Interface()
    }

    // Scan the values from rows into the fields using reflection
    err := rows.Scan(fields...)
    if err != nil {
        fmt.Println(err)
    }

    // Do something with the scanned user object
    fmt.Println(user.Interface().(Users))
}

if err = rows.Err(); err != nil {
    fmt.Println(err)
}

In the above code, we use reflection to automatically scan the values from rows into the user struct.

First, we get the type of the Users struct using reflect.TypeOf() and create a slice fields to hold the pointers to the fields of the struct.

Then, for each row in rows, we create a new instance of the Users struct using reflect.New() and get the pointers to the fields by using user.Field(i).Addr().Interface().

Finally, we pass the pointers to the Scan method using the fields... syntax to scan the values from rows into the struct fields. We can then use user.Interface().(Users) to convert the reflect.Value back into the Users struct and do something with it.

Note that this approach relies on the assumption that the column names and struct fields have the same names and match in order. If the column names don't match the struct fields, you may need to use tags or other techniques to map the columns to the fields.