Parsing JSON Without Redundant Unmarshaling in Go
When dealing with JSON messages that contain different types of data, a common approach may involve unmarshaling the data into a generic map[string]interface{} to inspect the key and attempt to cast the value into specific structs. However, this approach can lead to unnecessary double unmarshaling.
In the context of Go, there is a more efficient solution to partially unmarshal the JSON data into a json.RawMessage instead of interface{}. This is achieved by declaring the map as:
var myMap map[string]json.RawMessage
When it comes to casting the values to specific structs, the marshaling/unmarshaling step can be eliminated. For instance, in your case, you were casting to your "Ack" struct using:
ackjson, err := json.Marshal(v) if err != nil { fmt.Println("marshal error: ", err) } err = json.Unmarshal(ackjson, &myAck) if err != nil { fmt.Println("unmarshal error", err) }
Instead, it can be simplified to:
err = json.Unmarshal(v, &myAck)
This approach avoids the redundant unmarshaling step, making the parsing more efficient.
Here is an updated version of your code that incorporates this optimization:
package main import ( "encoding/json" "fmt" ) type Ping struct { Ping string `json:"ping"` } type Ack struct { Messages []Message `json:"messages"` } type Message string func main() { testJSON := []byte(`{"ack":{"messages":["Hi there","Hi again"]}}`) var myAck = Ack{} var myMap map[string]json.RawMessage err := json.Unmarshal(testJSON, &myMap) if err != nil { fmt.Println("error unmarshalling: ", err) } for k, v := range myMap { fmt.Printf("key: %s, value: %s \n", k, v) switch k { case "ping": fmt.Println(k, " is a ping", v) case "ack": fmt.Println(k, " is an ack containing a message list") err = json.Unmarshal(v, &myAck) if err != nil { fmt.Println("unmarshal error", err) } else { fmt.Println("New ack object: ", myAck) } default: fmt.Printf("%s is of a type (%T) I don't know how to handle", k, v) } } }
By utilizing json.RawMessage and eliminating the unnecessary unmarshaling, you can improve the performance of your JSON parsing without compromising functionality.
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