Codecs 26.1.2

A comprehensive guide for understanding and using Mojang's codec system for serializing and deserializing objects.

Codec is a system for easily serializing Java objects, and is included in Mojang's DataFixerUpper (DFU) library, which is included with Minecraft. In a modding context they can be used as an alternative to GSON and Jankson when reading and writing custom JSON files, though they're starting to become more and more relevant, as Mojang is rewriting a lot of old code to use Codecs.

Codecs are used in conjunction with another API from DFU, DynamicOps. A codec defines the structure of an object, while dynamic ops are used to define a format to be serialized to and from, such as JSON or NBT. This means any codec can be used with any dynamic ops, and vice versa, allowing for great flexibility.

Using Codecs

Serializing and Deserializing

The basic usage of a codec is to serialize and deserialize objects to and from a specific format.

Since a few vanilla classes already have codecs defined, we can use those as an example. Mojang has also provided us with two dynamic ops classes by default, JsonOps and NbtOps, which tend to cover most use cases.

Now, let's say we want to serialize a BlockPos to JSON and back. We can do this using the codec statically stored at BlockPos.CODEC with the Codec#encodeStart and Codec#parse methods, respectively.

Java

BlockPos pos = new BlockPos(1, 2, 3);

// Serialize the BlockPos to a JsonElement
DataResult<JsonElement> serializeResult = BlockPos.CODEC.encodeStart(JsonOps.INSTANCE, pos);

// When actually writing a mod, you'll want to properly handle empty Optionals of course
JsonElement json = serializeResult.resultOrPartial(LOGGER::error).orElseThrow();

// Here we have our JSON value, which should correspond to `[1, 2, 3]`,
// as that's the format used by the BlockPos codec.
LOGGER.info("Serialized BlockPos: {}", json);

Output

[
  1,
  2,
  3
]

When using a codec, values are returned in the form of a DataResult. This is a wrapper that can represent either a success or a failure. We can use this in several ways: If we just want our serialized value, DataResult#result will simply return an Optional containing our value, while DataResult#resultOrPartial also lets us supply a function to handle any errors that may have occurred. The latter is particularly useful for custom datapack resources, where we'd want to log errors without causing issues elsewhere.

So let's grab our serialized value and turn it back into a BlockPos:

// Now we'll deserialize the JsonElement back into a BlockPos
DataResult<BlockPos> deserializeResult = BlockPos.CODEC.parse(JsonOps.INSTANCE, json);

// Again, we'll just grab our value from the deserializeResult
BlockPos deserializedPos = deserializeResult.resultOrPartial(LOGGER::error).orElseThrow();

// And we can see that we've successfully serialized and deserialized our BlockPos!
LOGGER.info("Deserialized BlockPos: {}", deserializedPos);

Built-in Codecs

As mentioned earlier, Mojang has already defined codecs for several vanilla and standard Java classes, including but not limited to BlockPos, BlockState, ItemStack, Identifier, Component, and regex Patterns. Codecs for Mojang's own classes are usually found as static fields named CODEC on the class itself, while most others are kept in the Codecs class. It should also be noted that all vanilla registries contain a method to get a Codec, for example, you can use BuiltInRegistries.BLOCK.byNameCodec() to get a Codec<Block> which serializes to the block id and back and a holderByNameCodec() to get a Codec<Holder<Block>>.

The Codec API itself also contains some codecs for primitive types, such as Codec.INT and Codec.STRING. These are available as statics on the Codec class, and are usually used as the base for more complex codecs, as explained below.

Building Codecs

Now that we've seen how to use codecs, let's take a look at how we can build our own. Suppose we have the following class, and we want to deserialize instances of it from JSON files:

public class CoolBeansClass {
	private final int beansAmount;
	private final Holder<Item> beanType;
	private final List<BlockPos> beanPositions;

	public CoolBeansClass(int beansAmount, Holder<Item> beanType, List<BlockPos> beanPositions) {
		// ...
	}

	public int getBeansAmount() {
		return this.beansAmount;
	}

	public Holder<Item> getBeanType() {
		return this.beanType;
	}

	public List<BlockPos> getBeanPositions() {
		return this.beanPositions;
	}
}

The corresponding JSON file might look something like this:

{
  "bean_positions": [
    [
      1,
      2,
      3
    ],
    [
      4,
      5,
      6
    ]
  ],
  "bean_type": "example-mod:lightning_tater",
  "beans_amount": 5
}

We can make a codec for this class by putting together multiple smaller codecs into a larger one. In this case, we'll need one for each field:

• a Codec<Integer>
• a Codec<Item>
• a Codec<List<BlockPos>>

We can get the first one from the aforementioned primitive codecs in the Codec class, specifically Codec.INT. While the second one can be obtained from the BuiltInRegistries.ITEM registry, which has a byNameCodec() method that returns a Codec<Item>. We don't have a default codec for List<BlockPos>, but we can make one from BlockPos.CODEC.

Lists

Codec#listOf can be used to create a list version of any codec:

Codec

Codec<List<BlockPos>> listCodec = BlockPos.CODEC.listOf();

Input

List<BlockPos> data = List.of(new BlockPos(10, 5, 7));

Output

[
  [
    10,
    5,
    7
  ]
]

It should be noted that codecs created in this way will always deserialize to an ImmutableList. If you need a mutable list instead, you can make use of xmap to convert to one during deserialization.

Merging Codecs for Record-Like Classes

Now that we have separate codecs for each field, we can combine them into one codec for our class using a RecordCodecBuilder. This assumes that our class has a constructor containing every field we want to serialize, and that every field has a corresponding getter method. This makes it perfect to use in conjunction with records, but it can also be used with regular classes.

Let's take a look at how to create a codec for our CoolBeansClass:

Codec

public static final Codec<CoolBeansClass> CODEC = RecordCodecBuilder.create(instance -> instance.group(
		// Up to 16 fields can be declared here
		Codec.INT.fieldOf("beans_amount").forGetter(CoolBeansClass::getBeansAmount),
		Item.CODEC.fieldOf("bean_type").forGetter(CoolBeansClass::getBeanType),
		BlockPos.CODEC.listOf().fieldOf("bean_positions").forGetter(CoolBeansClass::getBeanPositions)
)
		.apply(instance, CoolBeansClass::new));

Input

CoolBeansClass bean = new CoolBeansClass(
		5,
		BuiltInRegistries.ITEM.wrapAsHolder(ModItems.LIGHTNING_TATER),
		List.of(
				new BlockPos(1, 2, 3),
				new BlockPos(4, 5, 6)
		)
);

Output

{
  "bean_positions": [
    [
      1,
      2,
      3
    ],
    [
      4,
      5,
      6
    ]
  ],
  "bean_type": "example-mod:lightning_tater",
  "beans_amount": 5
}

Each line in the group specifies a codec, a field name, and a getter method. The Codec#fieldOf call is used to convert the codec into a map codec, and the forGetter call specifies the getter method used to retrieve the value of the field from an instance of the class. Meanwhile, the apply call specifies the constructor used to create new instances. Note that the order of the fields in the group should be the same as the order of the arguments in the constructor.

You can also use Codec#optionalFieldOf in this context to make a field optional, as explained in the Optional Fields section.

MapCodec, Not to Be Confused With Codec<Map>

Calling Codec#fieldOf will convert a Codec<T> into a MapCodec<T>, which is a variant, but not direct implementation of Codec<T>. MapCodecs, as their name suggests are guaranteed to serialize into a key to value map, or its equivalent in the DynamicOps used. Some functions may require one over a regular codec.

This particular way of creating a MapCodec essentially boxes the value of the source codec inside a map, with the given field name as the key. For example, a Codec<BlockPos> when serialized into JSON would look like this:

[
  1,
  2,
  3
]

But when converted into a MapCodec<BlockPos> using BlockPos.CODEC.fieldOf("pos"), it would look like this:

{
  "pos": [
    1,
    2,
    3
  ]
}

While the most common use for map codecs is to be merged with other map codecs to construct a codec for a full class worth of fields, as explained in the Merging Codecs for Record-like Classes section above, they can also be turned back into regular codecs using MapCodec#codec, which will retain the same behavior of boxing their input value.

Optional Fields

Codec#optionalFieldOf can be used to create an optional map codec. This will, when the specified field is not present in the container during deserialization, either be deserialized as an empty Optional or a specified default value.

Codec

MapCodec<Optional<BlockPos>> optionalCodec = BlockPos.CODEC.optionalFieldOf("pos");

Input

Optional<BlockPos> optionalBlockPos = Optional.empty();

Output

{}

To add the default value, we can pass it as the second parameter in the optionalFieldOf method.

Codec

MapCodec<BlockPos> defaultCodec = BlockPos.CODEC.optionalFieldOf("pos", BlockPos.ZERO);

Input

BlockPos defaultBlockPos = BlockPos.ZERO;

Output

{}

Do note that if the field is present, but the value is invalid, the field fails to deserialize at all if the field value is invalid.

Constants, Constraints, and Composition

Unit

MapCodec.unitCodec can be used to create a codec that always deserializes to a constant value, regardless of the input. When serializing, it will do nothing.

Codec

Codec<Integer> theMeaningOfCodec = MapCodec.unitCodec(42);

Output

{}

Numeric Ranges

Codec.intRange and its pals, Codec.floatRange and Codec.doubleRange can be used to create a codec that only accepts number values within a specified inclusive range. This applies to both serialization and deserialization.

Codec

// Can't be more than 2
Codec<Integer> amountOfFriendsYouHave = Codec.intRange(0, 2);

Input

int amount = 2;

Output

2

Pair

Codec.pair merges two codecs, Codec<A> and Codec<B>, into a Codec<Pair<A, B>>. Keep in mind it only works properly with codecs that serialize to a specific field, such as converted MapCodecs or record codecs. The resulting codec will serialize to a map combining the fields of both codecs used.

Codec

// Create two separate boxed codecs
Codec<Integer> firstCodec = Codec.INT.fieldOf("i_am_number").codec();
Codec<Boolean> secondCodec = Codec.BOOL.fieldOf("this_statement_is_false").codec();

// And merge them into a pair codec
Codec<Pair<Integer, Boolean>> pairCodec = Codec.pair(firstCodec, secondCodec);

Input

Pair<Integer, Boolean> pair = Pair.of(23, true);

Output

{
  "i_am_number": 23,
  "this_statement_is_false": true
}

Either

Codec.either combines two codecs, Codec<A> and Codec<B>, into a Codec<Either<A, B>>. The resulting codec will, during deserialization, attempt to use the first codec, and only if that fails, attempt to use the second one. If the second one also fails, the error of the second codec will be returned.

Maps

For processing maps with arbitrary keys, such as HashMaps, Codec.unboundedMap can be used. This returns a Codec<Map<K, V>> for a given Codec<K> and Codec<V>. The resulting codec will serialize to a JSON object or the equivalent for the current dynamic ops.

Due to limitations of JSON and NBT, the key codec used must serialize to a string. This includes codecs for types that aren't strings themselves, but do serialize to them, such as Identifier.CODEC. See the example below:

Codec

// Create a codec for a map of Identifiers to integers
Codec<Map<Identifier, Integer>> mapCodec = Codec.unboundedMap(Identifier.CODEC, Codec.INT);

Input

Map<Identifier, Integer> map = Map.of(
		Identifier.fromNamespaceAndPath("example", "number"), 23,
		Identifier.fromNamespaceAndPath("example", "the_cooler_number"), 42
);

Output

{
  "example:number": 23,
  "example:the_cooler_number": 42
}

As you can see, this works because Identifier.CODEC serializes directly to a string value. A similar effect can be achieved for simple objects that don't serialize to strings by using xmap & friends to convert them.

Mutually Convertible Types

xmap

Say we have two classes that can be converted to each other, but don't have a parent-child relationship. For example, a vanilla BlockPos and Vec3d. If we have a codec for one, we can use Codec#xmap to create a codec for the other by specifying a conversion function for each direction.

BlockPos already has a codec, but let's pretend it doesn't. We can create one for it by basing it on the codec for Vec3d like this:

Codec

Codec<BlockPos> blockPosCodec = Vec3i.CODEC.xmap(
		// Convert Vec3i to BlockPos
		vec -> new BlockPos(vec.getX(), vec.getY(), vec.getZ()),
		// Convert BlockPos to Vec3i
		pos -> new Vec3i(pos.getX(), pos.getY(), pos.getZ())
);

// When converting an existing class (`X` for example)
// to your own class (`Y`) this way, it may be nice to
// add `toX` and static `fromX` methods to `Y` and use
// method references in your `xmap` call.

Input

BlockPos pos = new BlockPos(1, 2, 3);

Output

[
  1,
  2,
  3
]

flatComapMap, comapFlatMap, and flatXMap

Codec#flatComapMap, Codec#comapFlatMap and flatXMap are similar to xmap, but they allow one or both of the conversion functions to return a DataResult. This is useful in practice because a specific object instance may not always be valid for conversion.

Take for example vanilla Identifiers. While all Identifiers can be turned into strings, not all strings are valid Identifiers, so using xmap would mean throwing ugly exceptions when the conversion fails. Because of this, its built-in codec is actually a comapFlatMap on Codec.STRING, nicely illustrating how to use it:

public class Identifier {
	public static final Codec<Identifier> CODEC = Codec.STRING.comapFlatMap(
			Identifier::read, Identifier::toString
	);

	// ...

	public static DataResult<Identifier> read(String input) {
		try {
			return DataResult.success(Identifier.parse(input));
		} catch (IdentifierException e) {
			return DataResult.error(() -> "Not a valid identifier: " + input + " " + e.getMessage());
		}
	}

	// ...

}

While these methods are really helpful, their names are a bit confusing, so here's a table to help you remember which one to use:

Method	A -> B always valid?	B -> A always valid?
Codec<A>#xmap	Yes	Yes
Codec<A>#comapFlatMap	No	Yes
Codec<A>#flatComapMap	Yes	No
Codec<A>#flatXMap	No	No

Registry Dispatch

Codec#dispatch let us define a registry of codecs and dispatch to a specific one based on the value of a field in the serialized data. This is very useful when deserializing objects that have different fields depending on their type, but still represent the same thing.

For example, say we have an abstract Bean interface with two implementing classes: StringyBean and CountingBean. To serialize these with a registry dispatch, we'll need a few things:

• Separate codecs for every type of bean.
• A BeanType<T extends Bean> class or record that represents the type of bean, and can return the codec for it.
• A function on Bean to retrieve its BeanType<?>.
• A map or registry to map Identifiers to BeanType<?>s.
• A Codec<BeanType<?>> based on this registry. If you use a net.minecraft.core.Registry, one can be easily made using Registry#byNameCodec.

With all of this, we can create a registry dispatch codec for beans:

Codec

// Now we can create a codec for bean types
// based on the previously created registry
Codec<BeanType<?>> beanTypeCodec = BeanType.REGISTRY.byNameCodec();

// And based on that, here's our registry dispatch codec for beans!
// The first argument is the field name for the bean type.
// When left out, it will default to "type".
Codec<Bean> beanCodec = beanTypeCodec.dispatch("type", Bean::getType, BeanType::codec);

Bean

// The abstract type we want to create a codec for
public interface Bean {
	// Now we can create a codec for bean types based on the previously created registry.
	Codec<Bean> BEAN_CODEC = BeanType.REGISTRY.byNameCodec()
			// And based on that, here's our registry dispatch codec for beans!
			// The first argument is the field name for the bean type.
			// When left out, it will default to "type".
			.dispatch("type", Bean::getType, BeanType::codec);

	BeanType<?> getType();
}

BeanType

// A record to keep information relating to a specific
// subclass of Bean, in this case only holding a Codec.
public record BeanType<T extends Bean>(MapCodec<T> codec) {
	// Create a registry to map identifiers to bean types
	public static final Registry<BeanType<?>> REGISTRY = new MappedRegistry<>(
			ResourceKey.createRegistryKey(Identifier.fromNamespaceAndPath(ExampleMod.MOD_ID, "bean_types")), Lifecycle.stable());
}

StringyBean

// An implementing class of Bean, with its own codec.
public class StringyBean implements Bean {
	public static final MapCodec<StringyBean> CODEC = RecordCodecBuilder.mapCodec(instance -> instance.group(
			Codec.STRING.fieldOf("stringy_string").forGetter(StringyBean::getStringyString)
	).apply(instance, StringyBean::new));

	private String stringyString;

	// It is important to be able to retrieve the
	// BeanType of a Bean from it's instance.
	@Override
	public BeanType<?> getType() {
		return BeanTypes.STRINGY_BEAN;
	}
}

CountingBean

// Another implementation
public class CountingBean implements Bean {
	public static final MapCodec<CountingBean> CODEC = RecordCodecBuilder.mapCodec(instance -> instance.group(
			Codec.INT.fieldOf("counting_number").forGetter(CountingBean::getCountingNumber)
	).apply(instance, CountingBean::new));

	private int countingNumber;

	@Override
	public BeanType<?> getType() {
		return BeanTypes.COUNTING_BEAN;
	}
}

BeanTypes

// An empty class to hold static references to all BeanTypes
public class BeanTypes {
	// Make sure to register the bean types and leave them accessible to
	// the getType method in their respective subclasses.
	public static final BeanType<StringyBean> STRINGY_BEAN = register("stringy_bean", new BeanType<>(StringyBean.CODEC));
	public static final BeanType<CountingBean> COUNTING_BEAN = register("counting_bean", new BeanType<>(CountingBean.CODEC));

	public static <T extends Bean> BeanType<T> register(String id, BeanType<T> beanType) {
		return Registry.register(BeanType.REGISTRY, Identifier.fromNamespaceAndPath(ExampleMod.MOD_ID, id), beanType);
	}
}

Our new codec will serialize beans to JSON like this, grabbing only fields that are relevant to their specific type:

{
  "type": "example-mod:stringy_bean",
  "stringy_string": "This bean is stringy!"
}

{
  "type": "example-mod:counting_bean",
  "counting_number": 42
}

Recursive Codecs

Sometimes it is useful to have a codec that uses itself to decode specific fields, for example when dealing with certain recursive data structures. In vanilla code, this is used for Component objects, which may store other Components as children. Such a codec can be constructed using Codec#recursive.

For example, let's try to serialize a singly-linked list. This way of representing lists consists of a bunch of nodes that hold both a value and a reference to the next node in the list. The list is then represented by its first node, and traversing the list is done by following the next node until none remain. Here is a simple implementation of nodes that store integers.

public record ListNode(int value, Optional<ListNode> next) {
}

We can't construct a codec for this by ordinary means, because what codec would we use for the next field? We would need a Codec<ListNode>, which is what we are in the middle of constructing! Codec#recursive lets us achieve that using a magic-looking lambda:

Codec

Codec<ListNode> codec = Codec.recursive(
		"ListNode", // a name for the codec
		selfCodec -> {
			// Here, `selfCodec` represents the `Codec<ListNode>`, as if it was already constructed
			// This lambda should return the codec we wanted to use from the start,
			// that refers to itself through `selfCodec`
			return RecordCodecBuilder.create(instance ->
					instance.group(
							Codec.INT.fieldOf("value").forGetter(ListNode::value),
							// the `next` field will be handled recursively with the self-codec
							selfCodec.optionalFieldOf("next").forGetter(ListNode::next)
					).apply(instance, ListNode::new)
			);
		}
);

Input

ListNode linkedList = new ListNode(
		2,
		Optional.of(
				new ListNode(
						3,
						Optional.of(
								new ListNode(
												5,
												Optional.empty()
								)
						)
				)
		)
);

Output

{
  "next": {
    "next": {
      "value": 5
    },
    "value": 3
  },
  "value": 2
}