borsh-derive 0.2.0

Binary Object Representation Serializer for Hashing
Documentation

Why do we need yet another serialization format? Borsh is the first serializer that prioritizes the following qualities that are crucial for high-security projects:

  • Consistent and specified binary representation:
    • Consistent means there is a bijective mapping between objects and their binary representations. There is no two binary representations that deserialize into the same object. This is extremely useful for applications that use binary representation to compute hash;
    • Borsh comes with a full specification that can be used for implementations in other languages;
  • Safe. Borsh implementations use safe coding practices. In Rust, Borsh uses only safe code;
  • Speed. In Rust, Borsh achieves high performance by opting out from Serde which makes it faster than bincode; which also reduces the code size.

Example

use borsh::{BorshSerialize, BorshDeserialize};

#[derive(BorshSerialize, BorshDeserialize, PartialEq, Debug)]
struct A {
    x: u64,
    y: String,
}

#[test]
fn test_simple_struct() {
    let a = A {
        x: 3301,
        y: "liber primus".to_string(),
    };
    let encoded_a = a.try_to_vec().unwrap();
    let decoded_a = A::try_from_slice(&encoded_a).unwrap();
    assert_eq!(a, decoded_a);
}

Features

Opting out from Serde allows borsh to have some features that currently are not available for serde-compatible serializers. Currently we support two features: borsh_init and borsh_for (the former one not available in Serde).

borsh_init allows to automatically run an initialization function right after deserialization. This adds a lot of convenience for objects that are architectured to be used as strictly immutable. Usage example:

#[derive(BorshSerialize, BorshDeserialize)]
#[borsh_init(init)]
struct Message {
    message: String,
    timestamp: u64,
    public_key: CryptoKey,
    signature: CryptoSignature
    hash: CryptoHash
}

impl Message {
    pub fn init(&mut self) {
        self.hash = CryptoHash::new().write_string(self.message).write_u64(self.timestamp);
        self.signature.verify(self.hash, self.public_key);
    }
}

borsh_skip allows to skip serializing/deserializing fields, assuming they implement Default trait, similary to #[serde(skip)].

#[derive(BorshSerialize, BorshDeserialize)]
struct A {
    x: u64,
    #[borsh_skip]
    y: f32,
}

Benchmarks

We measured the following benchmarks on objects that blockchain projects care about the most: blocks, block headers, transactions, accounts. We took object structure from the nearprotocol blockchain. The benchmarks were run on Google Cloud n1-highmem-16 (16 vCPUs, 104 GB memory), with Intel(R) Xeon(R) CPU @ 2.20GHz, 56320 KB cache processors. Using one core for the actual benchmark execution. Version used for benchmarks: 0.2.0.

test ser_account_cbor         ... bench:         536 ns/iter (+/- 8)
test ser_account_bincode      ... bench:         150 ns/iter (+/- 7)
test ser_account_borsh        ... bench:          42 ns/iter (+/- 4)
test ser_account_speedy       ... bench:          40 ns/iter (+/- 7)

test ser_transaction_cbor     ... bench:      35,374 ns/iter (+/- 815)
test ser_transaction_bincode  ... bench:      26,749 ns/iter (+/- 1,375)
test ser_transaction_borsh    ... bench:      14,160 ns/iter (+/- 614)
test ser_transaction_speedy   ... bench:         840 ns/iter (+/- 46)

test ser_block_header_cbor    ... bench:     211,129 ns/iter (+/- 4,477)
test ser_block_header_bincode ... bench:     186,559 ns/iter (+/- 14,868)
test ser_block_header_borsh   ... bench:      26,196 ns/iter (+/- 1,224)
test ser_block_header_speedy  ... bench:      25,540 ns/iter (+/- 2,172)

test ser_block_cbor           ... bench:  31,438,399 ns/iter (+/- 4,456,689)
test ser_block_bincode        ... bench:  22,405,977 ns/iter (+/- 767,936)
test ser_block_borsh          ... bench:  12,722,433 ns/iter (+/- 1,067,208)
test ser_block_speedy         ... bench:     767,713 ns/iter (+/- 32,926)

test de_account_cbor          ... bench:         649 ns/iter (+/- 21)
test de_account_bincode       ... bench:         110 ns/iter (+/- 2)
test de_account_borsh         ... bench:          46 ns/iter (+/- 5)
test de_account_speedy        ... bench:          12 ns/iter (+/- 0)

test de_transaction_bincode   ... bench:      13,581 ns/iter (+/- 574)
test de_transaction_cbor      ... bench:      18,910 ns/iter (+/- 704)
test de_transaction_borsh     ... bench:      29,698 ns/iter (+/- 1,370)
test de_transaction_speedy    ... bench:       1,249 ns/iter (+/- 57)

test de_block_header_cbor     ... bench:     647,718 ns/iter (+/- 32,769)
test de_block_header_bincode  ... bench:     182,284 ns/iter (+/- 14,020)
test de_block_header_borsh    ... bench:      91,914 ns/iter (+/- 16,850)
test de_block_header_speedy   ... bench:      84,948 ns/iter (+/- 14,968)

test de_block_cbor            ... bench:  40,483,706 ns/iter (+/- 2,271,670)
test de_block_bincode         ... bench:  10,804,396 ns/iter (+/- 407,032)
test de_block_borsh           ... bench:  27,766,896 ns/iter (+/- 2,318,010)
test de_block_speedy          ... bench:   2,199,706 ns/iter (+/- 649,436)

Specification

In short, Borsh is a non self-describing binary serialization format. It is designed to serialize any objects to canonical and deterministic set of bytes.

General principles:

  • integers are little endian;
  • sizes of dynamic containers are written before values as u32;
  • all unordered containers (hashmap/hashset) are ordered in lexicographic order by key (in tie breaker case on value);
  • structs are serialized in the order of fields in the struct;
  • enums are serialized with using u8 for the enum ordinal and then storing data inside the enum value (if present).

Formal specification:

Note:

  • Some parts of Rust grammar are not yet formalized, like enums and variants. We backwards derive EBNF forms of Rust grammar from syn types;
  • We had to extend repetitions of EBNF and instead of defining them as [ ident_field ':' ident_type ',' ] * we define them as ident_field0 ':' ident_type0 ',' ident_field1 ':' ident_type1 ',' ... so that we can refer to individual elements in the pseudocode;
  • We use repr() function to denote that we are writing the representation of the given element into an imaginary buffer.