eth2.0-specs/specs/simple-serialize.md

SimpleSerialize (SSZ)

Notice: This document is a work-in-progress describing typing, serialization, and Merkleization of Eth 2.0 objects.

Table of contents

• SimpleSerialize (SSZ)
  • Table of contents
  • Constants
  • Typing
    • Basic types
    • Composite types
    • Variable-size and fixed-size
    • Aliases
    • Default values
      • is_empty
    • Illegal types
  • Serialization
    • uintN
    • boolean
    • null
    • Bitvector[N]
    • Bitlist[N]
    • Vectors, containers, lists, unions
  • Deserialization
  • Merkleization
    • Merkleization of Bitvector[N]
    • Bitlist[N]
  • Self-signed containers
  • Implementations

Constants

Name	Value	Description
BYTES_PER_CHUNK	32	Number of bytes per chunk.
BYTES_PER_LENGTH_OFFSET	4	Number of bytes per serialized length offset.
BITS_PER_BYTE	8	Number of bits per byte.

Typing

Basic types

• uintN: N-bit unsigned integer (where N in [8, 16, 32, 64, 128, 256])
• boolean: True or False

Composite types

• container: ordered heterogeneous collection of values
  • python dataclass notation with key-type pairs, e.g.

class ContainerExample(Container):
    foo: uint64
    bar: boolean

• vector: ordered fixed-length homogeneous collection, with N values
  • notation Vector[type, N], e.g. Vector[uint64, N]
• list: ordered variable-length homogeneous collection, limited to N values
  • notation List[type, N], e.g. List[uint64, N]
• bitvector: ordered fixed-length collection of boolean values, with N bits
  • notation Bitvector[N]
• bitlist: ordered variable-length collection of boolean values, limited to N bits
  • notation Bitlist[N]
• union: union type containing one of the given subtypes
  • notation Union[type_1, type_2, ...], e.g. union[null, uint64]

Variable-size and fixed-size

We recursively define "variable-size" types to be lists, unions, Bitlist and all types that contain a variable-size type. All other types are said to be "fixed-size".

Aliases

For convenience we alias:

• bit to boolean
• byte to uint8 (this is a basic type)
• BytesN to Vector[byte, N] (this is not a basic type)
• null: {}, i.e. the empty container

Default values

The default value of a type upon initialization is recursively defined using 0 for uintN, False for boolean and the elements of Bitvector, and [] for lists and Bitlist. Unions default to the first type in the union (with type index zero), which is null if present in the union.

is_empty

An SSZ object is called empty (and thus, is_empty(object) returns true) if it is equal to the default value for that type.

Illegal types

Empty vector types (i.e. [subtype, 0] for some subtype) are not legal. The null type is only legal as the first type in a union subtype (i.e. with type index zero).

Serialization

We recursively define the serialize function which consumes an object value (of the type specified) and returns a bytestring of type bytes.

Note: In the function definitions below (serialize, hash_tree_root, signing_root, is_variable_size, etc.) objects implicitly carry their type.

uintN

assert N in [8, 16, 32, 64, 128, 256]
return value.to_bytes(N // 8, "little")

boolean

assert value in (True, False)
return b"\x01" if value is True else b"\x00"

null

return b""

Bitvector[N]

as_integer = sum([value[i] << i for i in range(len(value))])
return as_integer.to_bytes((N + 7) // 8, "little")

Bitlist[N]

Note that from the offset coding, the length (in bytes) of the bitlist is known. An additional leading 1 bit is added so that the length in bits will also be known.

as_integer = (1 << len(value)) + sum([value[i] << i for i in range(len(value))])
return as_integer.to_bytes((as_integer.bit_length() + 7) // 8, "little")

Vectors, containers, lists, unions

# Recursively serialize
fixed_parts = [serialize(element) if not is_variable_size(element) else None for element in value]
variable_parts = [serialize(element) if is_variable_size(element) else b"" for element in value]

# Compute and check lengths
fixed_lengths = [len(part) if part != None else BYTES_PER_LENGTH_OFFSET for part in fixed_parts]
variable_lengths = [len(part) for part in variable_parts]
assert sum(fixed_lengths + variable_lengths) < 2**(BYTES_PER_LENGTH_OFFSET * BITS_PER_BYTE)

# Interleave offsets of variable-size parts with fixed-size parts
variable_offsets = [serialize(sum(fixed_lengths + variable_lengths[:i])) for i in range(len(value))]
fixed_parts = [part if part != None else variable_offsets[i] for i, part in enumerate(fixed_parts)]

# Return the concatenation of the fixed-size parts (offsets interleaved) with the variable-size parts
return b"".join(fixed_parts + variable_parts)

If value is a union type:

Define value as an object that has properties value.value with the contained value, and value.type_index which indexes the type.

serialized_bytes = serialize(value.value)
serialized_type_index = value.type_index.to_bytes(BYTES_PER_LENGTH_OFFSET, "little")
return serialized_type_index + serialized_bytes

Deserialization

Because serialization is an injective function (i.e. two distinct objects of the same type will serialize to different values) any bytestring has at most one object it could deserialize to. Efficient algorithms for computing this object can be found in the implementations.

Note that deserialization requires hardening against invalid inputs. A non-exhaustive list:

• Offsets: out of order, out of range, mismatching minimum element size
• Scope: Extra unused bytes, not aligned with element size.
• More elements than a list limit allows. Part of enforcing consensus.

Merkleization

We first define helper functions:

• pack: Given ordered objects of the same basic type, serialize them, pack them into BYTES_PER_CHUNK-byte chunks, right-pad the last chunk with zero bytes, and return the chunks.
• next_pow_of_two(i): get the next power of 2 of i, if not already a power of 2, with 0 mapping to 1. Examples: 0->1, 1->1, 2->2, 3->4, 4->4, 6->8, 9->16
• merkleize(data, pad_for): Given ordered BYTES_PER_CHUNK-byte chunks, if necessary append zero chunks so that the number of chunks is a power of two, Merkleize the chunks, and return the root. The merkleization depends on the effective input, which can be padded: if pad_for=L, then pad the data with zeroed chunks to next_pow_of_two(L) (virtually for memory efficiency). Then, merkleize the chunks (empty input is padded to 1 zero chunk):
  • If 1 chunk: A single chunk is simply that chunk, i.e. the identity when the number of chunks is one.
  • If > 1 chunks: pad to next_pow_of_two(len(chunks)), merkleize as binary tree.
• mix_in_length: Given a Merkle root root and a length length ("uint256" little-endian serialization) return hash(root + length).
• mix_in_type: Given a Merkle root root and a type_index type_index ("uint256" little-endian serialization) return hash(root + type_index).

We now define Merkleization hash_tree_root(value) of an object value recursively:

• merkleize(pack(value)) if value is a basic object or a vector of basic objects
• mix_in_length(merkleize(pack(value), pad_for=(N * elem_size / BYTES_PER_CHUNK)), len(value)) if value is a list of basic objects.
• merkleize([hash_tree_root(element) for element in value]) if value is a vector of composite objects or a container
• mix_in_length(merkleize([hash_tree_root(element) for element in value], pad_for=N), len(value)) if value is a list of composite objects.
• mix_in_type(merkleize(value.value), value.type_index) if value is of union type

Merkleization of Bitvector[N]

as_integer = sum([value[i] << i for i in range(len(value))])
return merkleize(as_integer.to_bytes((N + 7) // 8, "little"))

Bitlist[N]

as_integer = sum([value[i] << i for i in range(len(value))])
return mix_in_length(merkleize(as_integer.to_bytes((N + 7) // 8, "little")), len(value))

Self-signed containers

Let value be a self-signed container object. The convention is that the signature (e.g. a "bytes96" BLS12-381 signature) be the last field of value. Further, the signed message for value is signing_root(value) = hash_tree_root(truncate_last(value)) where truncate_last truncates the last element of value.

Implementations

Language	Project	Maintainer	Implementation
Python	Ethereum 2.0	Ethereum Foundation	https://github.com/ethereum/py-ssz
Rust	Lighthouse	Sigma Prime	https://github.com/sigp/lighthouse/tree/master/eth2/utils/ssz
Nim	Nimbus	Status	https://github.com/status-im/nim-beacon-chain/blob/master/beacon_chain/ssz.nim
Rust	Shasper	ParityTech	https://github.com/paritytech/shasper/tree/master/utils/ssz
TypeScript	Lodestar	ChainSafe Systems	https://github.com/ChainSafe/ssz-js
Java	Cava	ConsenSys	https://www.github.com/ConsenSys/cava/tree/master/ssz
Go	Prysm	Prysmatic Labs	https://github.com/prysmaticlabs/go-ssz
Swift	Yeeth	Dean Eigenmann	https://github.com/yeeth/SimpleSerialize.swift
C#		Jordan Andrews	https://github.com/codingupastorm/csharp-ssz
C++		Jiyun Kim	https://github.com/NAKsir-melody/cpp_ssz