Serializing Data¶
While an ImmutableDataManipulator is a good way to store data while the server is running, it will not persist over a restart. However, every DataManipulator implements the DataSerializable interface and thus can be serialized to a DataContainer and deserialized by a DataBuilder.
After this initial conversion from the specialized DataManipulator to a more general structure, the DataContainer
can be further processed.
DataContainer and DataView¶
A DataView is a general-purpose structure for holding any kind of data. It supports multiple values and even
nested DataViews as a value, thus allowing for a tree-like structure. Every value is identified by a
DataQuery. A DataContainer is a root DataView.
Every DataSerializable provides a toContainer() method which will create and return a DataContainer.
As an example, calling toContainer() on a HealthData instance will yield a DataContainer containing
two values, one for the current and one for the maximum health, each identified by the DataQuery of the respective
Key.
import org.spongepowered.api.data.DataContainer;
import org.spongepowered.api.data.key.Keys;
DataContainer serializedHealth = healthData.toContainer();
double currentHealth = serializedHealth.getDouble(Keys.HEALTH.getQuery()).get();
currentHealth == healthData.health().get(); // true
Converting this container back into a HealthData instance is done by the corresponding DataBuilder. Those are
registered and managed by the DataManager. It can either be obtained from a valid Game instance
or using the Sponge utility class. The DataManager provides a method to get the appropriate
DataBuilder to deserialize a given class and additionally a shorthand method to get the DataBuilder and have it
do the deserialization in one step. Both of the following code examples are functionally equivalent.
Code Example: Deserialization, the long way
import org.spongepowered.api.data.DataView;
import org.spongepowered.api.data.manipulator.mutable.entity.HealthData;
import org.spongepowered.api.util.persistence.DataBuilder;
import java.util.Optional;
public Optional<HealthData> deserializeHealth(DataView container) {
final Optional<DataBuilder<HealthData>> builder = Sponge.getDataManager().getBuilder(HealthData.class);
if (builder.isPresent()) {
return builder.get().build(container);
}
return Optional.empty();
}
Code Example: Deserialization, the short way
import org.spongepowered.api.data.manipulator.mutable.entity.HealthData;
public Optional<HealthData> deserializeHealth(DataView container) {
return Sponge.getDataManager().deserialize(HealthData.class, container);
}
The deserializeHealth function will return Optional.empty() if there is no DataBuilder registered for
HealthData or the supplied DataContainer is empty. If invalid data is present in the DataContainer, an
InvalidDataException will be thrown.
DataTranslator¶
In Sponge, generally the implementations MemoryDataView and MemoryDataContainer are used, which
reside in memory only and thus will not persist over a server restart. In order to persistently store a
DataContainer, it first has to be converted into a storable representation.
Using the DataTranslators#CONFIGURATION_NODE implementation of DataTranslator, we can convert a
DataView to a ConfigurationNode and vice versa. ConfigurationNodes can then be written to and read
from persistent files using the Configurate Library.
Code Example: Serializing a HealthData instance to Configurate
import ninja.leaping.configurate.ConfigurationNode;
import org.spongepowered.api.data.persistence.DataTranslator;
import org.spongepowered.api.data.persistence.DataTranslators;
public ConfigurationNode translateToConfig(HealthData data) {
final DataTranslator<ConfigurationNode> translator = DataTranslators.CONFIGURATION_NODE;
final DataView container = data.toContainer();
return translator.translate(container);
}
Code Example: Deserializing a HealthData instance from Configurate
import java.util.Optional;
public Optional<HealthData> translateFromConfig(ConfigurationNode node) {
final DataTranslator<ConfigurationNode> translator = DataTranslators.CONFIGURATION_NODE;
final DataView container = translator.translate(node);
return deserializeHealth(container);
}
DataFormat¶
An alternative to using a DataTranslator is to use DataFormat, which allows you to store a
DataContainer in HOCON, JSON or NBT format. You can also recreate DataContainers using DataFormats. Sponge
provided DataFormat implementations are available in the DataFormats class.
For example, we can use the DataFormats#JSON DataFormat which allows us to create a JSON representation
of a DataContainer. The output JSON could then easily be stored in a database. We can then use the same
DataFormat to recreate the original DataContainer from this JSON when required.
Imports for code examples
import org.spongepowered.api.Sponge;
import org.spongepowered.api.data.DataContainer;
import org.spongepowered.api.data.persistence.DataFormats;
import org.spongepowered.api.item.inventory.ItemStackSnapshot;
import java.io.IOException;
import java.io.InputStream;
import java.io.OutputStream;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.Optional;
Code Example: Serializing an ItemStackSnapshot to JSON format
String json = DataFormats.JSON.write(itemStack.toContainer());
Code Example: Deserializing an ItemStackSnapshot from JSON format
DataContainer container = DataFormats.JSON.read(json);
Code Example: Writing an ItemStackSnapshot to a file using NBT
public void writeItemStackSnapshotToFile(ItemStackSnapshot itemStackSnapshot, Path path) {
DataContainer dataContainer = itemStackSnapshot.toContainer();
try (OutputStream outputStream = Files.newOutputStream(path)) {
DataFormats.NBT.writeTo(outputStream, dataContainer);
} catch (IOException e) {
// For the purposes of this example, we just print the error to the console. However,
// as this exception indicates the file didn't save, you should handle this in a way
// more suitable for your plugin.
e.printStackTrace();
}
}
Code Example: Reading an ItemStackSnapshot from a file using NBT
public Optional<ItemStackSnapshot> readItemStackSnapshotFromFile(Path path) {
try (InputStream inputStream = Files.newInputStream(path)) {
DataContainer dataContainer = DataFormats.NBT.readFrom(inputStream);
return Sponge.getDataManager().deserialize(ItemStackSnapshot.class, dataContainer);
} catch (IOException e) {
e.printStackTrace();
}
return Optional.empty();
}