How does GSON handle processing large volumes of data during serialization and deserialization?

GSON, when working with large volumes of data, aims to minimize memory consumption and improve performance through the following features:

• Streaming processing — GSON supports reading and writing JSON in streaming mode via the JsonReader and JsonWriter classes. This allows processing data in parts without loading the entire JSON into memory.

• Lazy deserialization — objects can be read one by one, reducing memory load.

• Caching and reusing objects — GSON optimizes internal structures to speed up serialization.

Example of using JsonReader for streaming deserialization:

JsonReader reader = new JsonReader(new FileReader("large_data.json"));
reader.beginArray();
while (reader.hasNext()) {
    MyObject obj = new Gson().fromJson(reader, MyObject.class);
    // process obj
}
reader.endArray();
reader.close();

Thus, GSON allows efficient handling of large JSON files without loading them entirely into memory.