Encountering a memory issue when trying to parse a hefty JSON file using the Jackson library in an Android

Question

Encountering a memory issue when trying to parse a hefty JSON file using the Jackson library in an Android

Currently, I am facing a challenge with parsing a substantial JSON response from the server using the Jackson library. The size of the JSON file is approximately 7-8 MB.

The error that I encountered while running the code snippet below:

ObjectMapper mapper = new ObjectMapper();
JsonNode rootParser = mapper.readValue(is, JsonNode.class);

has resulted in the following exception:

    01-14 13:13:20.103: E/AndroidRuntime(25468): FATAL EXCEPTION: Thread-13
    01-14 13:13:20.103: E/AndroidRuntime(25468): java.lang.OutOfMemoryError
    01-14 13:13:20.103: E/AndroidRuntime(25468): at java.util.ArrayList.add(ArrayList.java:123)
01-14 13:13:20.103: E/AndroidRuntime(25468):    at org.codehaus.jackson.node.ArrayNode._add(ArrayNode.java:722)
...
(complete exception stack trace)
...

Despite attempting various solutions, I have not been able to successfully parse such a large dataset on an Android device.

java android json jackson out-of-memory

Answer 1

Answer №1

Dealing with JSON data can be memory intensive, especially when using tree models that can consume a significant amount of memory. While most libraries build trees using Lists and Maps, which are heavy-weight structures, an alternative approach is to utilize Plain Old Java Objects (POJOs) for better memory efficiency. By creating POJOs that mirror your JSON structure, you can reduce memory usage significantly.

MyValue value = mapper.readValue(json, MyValue.class);

This method works well with Jackson, Gson, Genson, and other Java JSON libraries, offering not only lower memory footprint but also improved performance compared to working with JSON trees directly. Additionally, breaking down multi-megabyte content into smaller sequences can further optimize memory usage, whether processing individual items as JsonNodes or POJOs.

Answer 2

Dealing with JSON data can be memory intensive, especially when using tree models that can consume a significant amount of memory. While most libraries build trees using Lists and Maps, which are heavy-weight structures, an alternative approach is to utilize Plain Old Java Objects (POJOs) for better memory efficiency. By creating POJOs that mirror your JSON structure, you can reduce memory usage significantly.

MyValue value = mapper.readValue(json, MyValue.class);

This method works well with Jackson, Gson, Genson, and other Java JSON libraries, offering not only lower memory footprint but also improved performance compared to working with JSON trees directly. Additionally, breaking down multi-megabyte content into smaller sequences can further optimize memory usage, whether processing individual items as JsonNodes or POJOs.

Answer 3

Answer №2

Utilizing the gson library, the following code allows for seamless retrieval of files larger than 50Mb:

public static <T extends Object> T readFile(String file_path, Type type) {

    GsonBuilder gson_builder = new GsonBuilder();

    final SimpleDateFormat sdf_date     = new SimpleDateFormat("yyyy-MM-dd");
    final SimpleDateFormat sdf_datetime = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss.SSS");

    gson_builder.registerTypeAdapter(Date.class, new JsonDeserializer<Date>(){

        @Override
        public Date deserialize(JsonElement json, Type typeOfT, JsonDeserializationContext context) throws JsonParseException {

            try {
                if (json.getAsJsonPrimitive().getAsString().length() == 10)
                    return sdf_date.parse(json.getAsJsonPrimitive().getAsString());
                else
                    return sdf_datetime.parse(json.getAsJsonPrimitive().getAsString());

            } catch (ParseException e) {
                Log.e("JSON", "Error deserializing dates in JSON: " + json.getAsJsonPrimitive().getAsString());
                return null;
            }
        }

    });

    Gson gson = gson_builder.create();

    File jsonFile = new File(file_path);

    FileReader reader = null;

    try {
        reader = new FileReader(jsonFile);

        return gson.fromJson(reader, type);

    } catch (FileNotFoundException e) {
        e.printStackTrace();
    } finally {
        try {
            reader.close();

            if (jsonFile.exists())
                jsonFile.delete();
        } catch (IOException e) {
            e.printStackTrace();
        }
    }

    return null;
}

Experiment with this library, it's reliable. We mainly use Jackson on the server side as it tends to be slower on Android compared to gson based on our tests.

Answer 4

Utilizing the gson library, the following code allows for seamless retrieval of files larger than 50Mb:

public static <T extends Object> T readFile(String file_path, Type type) {

    GsonBuilder gson_builder = new GsonBuilder();

    final SimpleDateFormat sdf_date     = new SimpleDateFormat("yyyy-MM-dd");
    final SimpleDateFormat sdf_datetime = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss.SSS");

    gson_builder.registerTypeAdapter(Date.class, new JsonDeserializer<Date>(){

        @Override
        public Date deserialize(JsonElement json, Type typeOfT, JsonDeserializationContext context) throws JsonParseException {

            try {
                if (json.getAsJsonPrimitive().getAsString().length() == 10)
                    return sdf_date.parse(json.getAsJsonPrimitive().getAsString());
                else
                    return sdf_datetime.parse(json.getAsJsonPrimitive().getAsString());

            } catch (ParseException e) {
                Log.e("JSON", "Error deserializing dates in JSON: " + json.getAsJsonPrimitive().getAsString());
                return null;
            }
        }

    });

    Gson gson = gson_builder.create();

    File jsonFile = new File(file_path);

    FileReader reader = null;

    try {
        reader = new FileReader(jsonFile);

        return gson.fromJson(reader, type);

    } catch (FileNotFoundException e) {
        e.printStackTrace();
    } finally {
        try {
            reader.close();

            if (jsonFile.exists())
                jsonFile.delete();
        } catch (IOException e) {
            e.printStackTrace();
        }
    }

    return null;
}

Experiment with this library, it's reliable. We mainly use Jackson on the server side as it tends to be slower on Android compared to gson based on our tests.

Answer 5

Answer №3

Consider utilizing the following code snippet:

JsonNode rootNode = mapper.readTree(inputSource);

as an alternative method.

Answer 6

Consider utilizing the following code snippet:

JsonNode rootNode = mapper.readTree(inputSource);

as an alternative method.

Encountering a memory issue when trying to parse a hefty JSON file using the Jackson library in an Android

Answer №1

Answer №2

Answer №3

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