How Can I Efficiently Parse CSV Data into Go Structs?

Parsing CSV Data into Go Structs

Problem:
How can you efficiently deserialize CSV records into custom Go structs?

Solution:

Instead of manually processing each field using the "encoding/csv" package, consider utilizing the gocarina/gocsv library. This tool provides a more straightforward method for unmarshalling CSV records into structs.

gocsv allows you to define custom field mappings in your struct using CSV column headers as tags. These tags specify how each field in the struct corresponds to a particular column in the CSV file.

Example:

type Client struct {
    Id      string `csv:"client_id"`
    Name    string `csv:"client_name"`
    Age     string `csv:"client_age"`
}

func main() {
    in, err := os.Open("clients.csv")
    if err != nil {
        panic(err)
    }
    defer in.Close()

    clients := []*Client{}

    if err := gocsv.UnmarshalFile(in, &clients); err != nil {
        panic(err)
    }
    for _, client := range clients {
        fmt.Println("Hello, ", client.Name)
    }
}

By using gocsv, you can easily unmarshal CSV records into structs, allowing for seamless data extraction and processing in Go applications.

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