


Preserving Data Types in JSON Parsing: Integers as Integers, Floats as Floats
In Golang, parsing JSON records that contain a mix of integer and float values requires careful handling to maintain the original data types. However, the current implementation using the encoding/json package parses all numbers as floats, potentially leading to type conflicts in data storage.
To resolve this issue, we can employ several approaches:
1. Custom JSON Value Handling:
We can leverage the Go mechanism for custom JSON values to identify and handle integers and floats appropriately.
package main import ( "encoding/json" "fmt" "strconv" ) func main() { str := `{"a":123,"b":12.3,"c":"123","d":"12.3","e":true}` var raw map[string]json.RawMessage err := json.Unmarshal([]byte(str), &raw) if err != nil { panic(err) } parsed := make(map[string]interface{}, len(raw)) for key, val := range raw { s := string(val) i, err := strconv.ParseInt(s, 10, 64) if err == nil { parsed[key] = i continue } f, err := strconv.ParseFloat(s, 64) if err == nil { parsed[key] = f continue } var v interface{} err = json.Unmarshal(val, &v) if err == nil { parsed[key] = v continue } parsed[key] = val } for key, val := range parsed { fmt.Printf("%T: %v %v\n", val, key, val) } }
2. json.Number Type:
Go provides the json.Number type specifically designed for handling JSON numbers. This allows us to parse numbers as floats and then extract integers or floats as needed.
package main import ( "encoding/json" "fmt" "strings" ) func main() { str := `{"a":123,"b":12.3,"c":"123","d":"12.3","e":true}` var parsed map[string]interface{} d := json.NewDecoder(strings.NewReader(str)) d.UseNumber() err := d.Decode(&parsed) if err != nil { panic(err) } for key, val := range parsed { n, ok := val.(json.Number) if !ok { continue } if i, err := n.Int64(); err == nil { parsed[key] = i continue } if f, err := n.Float64(); err == nil { parsed[key] = f continue } } for key, val := range parsed { fmt.Printf("%T: %v %v\n", val, key, val) } }
These approaches provide flexible ways to parse and preserve integer and float values in JSON, ensuring correct data representation in subsequent processing.
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