Handling large JSON payloads in Go with encoding/json and performance optimization
I'm performance testing and I'm having a hard time understanding I'm sure I'm missing something obvious here, but I'm currently working on a Go application that processes large JSON payloads using the `encoding/json` package. My goal is to deserialize a JSON file that can be upwards of 100MB in size. However, I've noticed important performance optimization during decoding, and it often results in memory spikes that lead to "out of memory" errors on some systems. I've tried using `json.Decoder` with a streaming approach to read the JSON object directly from a file, but I'm still running into performance bottlenecks. Here's a snippet of what I implemented: ```go file, err := os.Open("largefile.json") if err != nil { log.Fatalf("failed to open file: %s", err) } defer file.Close() decoder := json.NewDecoder(file) var data YourStruct // Assuming YourStruct is defined to match the JSON structure if err := decoder.Decode(&data); err != nil { log.Fatalf("failed to decode JSON: %s", err) } ``` While this works, I still experience high memory usage. I also tried increasing the system's available memory, but I'm looking for a more efficient way to handle this. Are there any best practices for dealing with large JSON files in Go? Should I consider using a different library or approach? Additionally, if there's a way to batch process the payload, that would be ideal, but Iām not sure how to implement that. I also noticed that when I try to implement chunking, like reading in smaller slices, it complicates the decoding process. How do I effectively manage this without losing data integrity? Any advice or examples would be greatly appreciated! Has anyone else encountered this? My development environment is Windows. How would you solve this? I'm working in a Debian environment. Has anyone else encountered this?