Padding efficent merkle root algo (#436)

* Add initial work on padding efficent merkle roots

* Improve merklize_padded

* Improve tree_hash crate -- fix bugs, docs

* Update codebase for tree_hash API change

* Remove dbg statements, fix import error

* Fix clippy lints, doc error

* Tidy tree hash comments

* Increase tree_hash max tree height

* Fix PR review comments

* Fix typos

* Fix cache access off-by-one in tree hash

* Set max tree depth to 48 (from 64)
This commit is contained in:
Paul Hauner 2019-07-16 14:40:56 +10:00 committed by GitHub
parent af499c0b8c
commit 88c6d15c32
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
7 changed files with 403 additions and 12 deletions

View File

@ -5,9 +5,11 @@ authors = ["Paul Hauner <paul@paulhauner.com>"]
edition = "2018"
[dev-dependencies]
rand = "0.7"
tree_hash_derive = { path = "../tree_hash_derive" }
[dependencies]
ethereum-types = "0.5"
hashing = { path = "../hashing" }
int_to_bytes = { path = "../int_to_bytes" }
lazy_static = "0.1"

View File

@ -1,5 +1,5 @@
use super::*;
use crate::merkleize::merkle_root;
use crate::merkle_root;
use ethereum_types::H256;
use hashing::hash;
use int_to_bytes::int_to_bytes32;

View File

@ -1,5 +1,17 @@
#[macro_use]
extern crate lazy_static;
pub mod impls;
pub mod merkleize;
mod merkleize_padded;
mod merkleize_standard;
pub use merkleize_padded::merkleize_padded;
pub use merkleize_standard::merkleize_standard;
/// Alias to `merkleize_padded(&bytes, 0)`
pub fn merkle_root(bytes: &[u8]) -> Vec<u8> {
merkleize_padded(&bytes, 0)
}
pub const BYTES_PER_CHUNK: usize = 32;
pub const HASHSIZE: usize = 32;
@ -44,7 +56,7 @@ macro_rules! tree_hash_ssz_encoding_as_vector {
}
fn tree_hash_root(&self) -> Vec<u8> {
tree_hash::merkleize::merkle_root(&ssz::ssz_encode(self))
tree_hash::merkle_root(&ssz::ssz_encode(self))
}
}
};

View File

@ -0,0 +1,366 @@
use super::BYTES_PER_CHUNK;
use hashing::hash;
/// The size of the cache that stores padding nodes for a given height.
///
/// Currently, we panic if we encounter a tree with a height larger than `MAX_TREE_DEPTH`.
///
/// It is set to 48 as we expect it to be sufficiently high that we won't exceed it.
pub const MAX_TREE_DEPTH: usize = 48;
lazy_static! {
/// Cached zero hashes where `ZERO_HASHES[i]` is the hash of a Merkle tree with 2^i zero leaves.
static ref ZERO_HASHES: Vec<Vec<u8>> = {
let mut hashes = vec![vec![0; 32]; MAX_TREE_DEPTH + 1];
for i in 0..MAX_TREE_DEPTH {
hashes[i + 1] = hash_concat(&hashes[i], &hashes[i]);
}
hashes
};
}
/// Merkleize `bytes` and return the root, optionally padding the tree out to `min_leaves` number of
/// leaves.
///
/// First all nodes are extracted from `bytes` and then a padding node is added until the number of
/// leaf chunks is greater than or equal to `min_leaves`. Callers may set `min_leaves` to `0` if no
/// adding additional chunks should be added to the given `bytes`.
///
/// If `bytes.len() <= BYTES_PER_CHUNK`, no hashing is done and `bytes` is returned, potentially
/// padded out to `BYTES_PER_CHUNK` length with `0`.
///
/// ## CPU Performance
///
/// A cache of `MAX_TREE_DEPTH` hashes are stored to avoid re-computing the hashes of padding nodes
/// (or their parents). Therefore, adding padding nodes only incurs one more hash per additional
/// height of the tree.
///
/// ## Memory Performance
///
/// This algorithm has two interesting memory usage properties:
///
/// 1. The maximum memory footprint is roughly `O(V / 2)` memory, where `V` is the number of leaf
/// chunks with values (i.e., leaves that are not padding). The means adding padding nodes to
/// the tree does not increase the memory footprint.
/// 2. At each height of the tree half of the memory is freed until only a single chunk is stored.
/// 3. The input `bytes` are not copied into another list before processing.
///
/// _Note: there are some minor memory overheads, including a handful of usizes and a list of
/// `MAX_TREE_DEPTH` hashes as `lazy_static` constants._
pub fn merkleize_padded(bytes: &[u8], min_leaves: usize) -> Vec<u8> {
// If the bytes are just one chunk or less, pad to one chunk and return without hashing.
if bytes.len() <= BYTES_PER_CHUNK && min_leaves <= 1 {
let mut o = bytes.to_vec();
o.resize(BYTES_PER_CHUNK, 0);
return o;
}
assert!(
bytes.len() > BYTES_PER_CHUNK || min_leaves > 1,
"Merkle hashing only needs to happen if there is more than one chunk"
);
// The number of leaves that can be made directly from `bytes`.
let leaves_with_values = (bytes.len() + (BYTES_PER_CHUNK - 1)) / BYTES_PER_CHUNK;
// The number of parents that have at least one non-padding leaf.
//
// Since there is more than one node in this tree (see prior assertion), there should always be
// one or more initial parent nodes.
let initial_parents_with_values = std::cmp::max(1, next_even_number(leaves_with_values) / 2);
// The number of leaves in the full tree (including padding nodes).
let num_leaves = std::cmp::max(leaves_with_values, min_leaves).next_power_of_two();
// The number of levels in the tree.
//
// A tree with a single node has `height == 1`.
let height = num_leaves.trailing_zeros() as usize + 1;
assert!(height >= 2, "The tree should have two or more heights");
// A buffer/scratch-space used for storing each round of hashes at each height.
//
// This buffer is kept as small as possible; it will shrink so it never stores a padding node.
let mut chunks = ChunkStore::with_capacity(initial_parents_with_values);
// Create a parent in the `chunks` buffer for every two chunks in `bytes`.
//
// I.e., do the first round of hashing, hashing from the `bytes` slice and filling the `chunks`
// struct.
for i in 0..initial_parents_with_values {
let start = i * BYTES_PER_CHUNK * 2;
// Hash two chunks, creating a parent chunk.
let hash = match bytes.get(start..start + BYTES_PER_CHUNK * 2) {
// All bytes are available, hash as usual.
Some(slice) => hash(slice),
// Unable to get all the bytes, get a small slice and pad it out.
None => {
let mut preimage = bytes
.get(start..)
.expect("`i` can only be larger than zero if there are bytes to read")
.to_vec();
preimage.resize(BYTES_PER_CHUNK * 2, 0);
hash(&preimage)
}
};
assert_eq!(
hash.len(),
BYTES_PER_CHUNK,
"Hashes should be exactly one chunk"
);
// Store the parent node.
chunks
.set(i, &hash)
.expect("Buffer should always have capacity for parent nodes")
}
// Iterate through all heights above the leaf nodes and either (a) hash two children or, (b)
// hash a left child and a right padding node.
//
// Skip the 0'th height because the leaves have already been processed. Skip the highest-height
// in the tree as it is the root does not require hashing.
//
// The padding nodes for each height are cached via `lazy static` to simulate non-adjacent
// padding nodes (i.e., avoid doing unnecessary hashing).
for height in 1..height - 1 {
let child_nodes = chunks.len();
let parent_nodes = next_even_number(child_nodes) / 2;
// For each pair of nodes stored in `chunks`:
//
// - If two nodes are available, hash them to form a parent.
// - If one node is available, hash it and a cached padding node to form a parent.
for i in 0..parent_nodes {
let (left, right) = match (chunks.get(i * 2), chunks.get(i * 2 + 1)) {
(Ok(left), Ok(right)) => (left, right),
(Ok(left), Err(_)) => (left, get_zero_hash(height)),
// Deriving `parent_nodes` from `chunks.len()` has ensured that we never encounter the
// scenario where we expect two nodes but there are none.
(Err(_), Err(_)) => unreachable!("Parent must have one child"),
// `chunks` is a contiguous array so it is impossible for an index to be missing
// when a higher index is present.
(Err(_), Ok(_)) => unreachable!("Parent must have a left child"),
};
assert!(
left.len() == right.len() && right.len() == BYTES_PER_CHUNK,
"Both children should be `BYTES_PER_CHUNK` bytes."
);
let hash = hash_concat(left, right);
// Store a parent node.
chunks
.set(i, &hash)
.expect("Buf is adequate size for parent");
}
// Shrink the buffer so it neatly fits the number of new nodes created in this round.
//
// The number of `parent_nodes` is either decreasing or stable. It never increases.
chunks.truncate(parent_nodes);
}
// There should be a single chunk left in the buffer and it is the Merkle root.
let root = chunks.into_vec();
assert_eq!(root.len(), BYTES_PER_CHUNK, "Only one chunk should remain");
root
}
/// A helper struct for storing words of `BYTES_PER_CHUNK` size in a flat byte array.
#[derive(Debug)]
struct ChunkStore(Vec<u8>);
impl ChunkStore {
/// Creates a new instance with `chunks` padding nodes.
fn with_capacity(chunks: usize) -> Self {
Self(vec![0; chunks * BYTES_PER_CHUNK])
}
/// Set the `i`th chunk to `value`.
///
/// Returns `Err` if `value.len() != BYTES_PER_CHUNK` or `i` is out-of-bounds.
fn set(&mut self, i: usize, value: &[u8]) -> Result<(), ()> {
if i < self.len() && value.len() == BYTES_PER_CHUNK {
let slice = &mut self.0[i * BYTES_PER_CHUNK..i * BYTES_PER_CHUNK + BYTES_PER_CHUNK];
slice.copy_from_slice(value);
Ok(())
} else {
Err(())
}
}
/// Gets the `i`th chunk.
///
/// Returns `Err` if `i` is out-of-bounds.
fn get(&self, i: usize) -> Result<&[u8], ()> {
if i < self.len() {
Ok(&self.0[i * BYTES_PER_CHUNK..i * BYTES_PER_CHUNK + BYTES_PER_CHUNK])
} else {
Err(())
}
}
/// Returns the number of chunks presently stored in `self`.
fn len(&self) -> usize {
self.0.len() / BYTES_PER_CHUNK
}
/// Truncates 'self' to `num_chunks` chunks.
///
/// Functionally identical to `Vec::truncate`.
fn truncate(&mut self, num_chunks: usize) {
self.0.truncate(num_chunks * BYTES_PER_CHUNK)
}
/// Consumes `self`, returning the underlying byte array.
fn into_vec(self) -> Vec<u8> {
self.0
}
}
/// Returns a cached padding node for a given height.
fn get_zero_hash(height: usize) -> &'static [u8] {
if height <= MAX_TREE_DEPTH {
&ZERO_HASHES[height]
} else {
panic!("Tree exceeds MAX_TREE_DEPTH of {}", MAX_TREE_DEPTH)
}
}
/// Concatenate two vectors.
fn concat(mut vec1: Vec<u8>, mut vec2: Vec<u8>) -> Vec<u8> {
vec1.append(&mut vec2);
vec1
}
/// Compute the hash of two other hashes concatenated.
fn hash_concat(h1: &[u8], h2: &[u8]) -> Vec<u8> {
hash(&concat(h1.to_vec(), h2.to_vec()))
}
/// Returns the next even number following `n`. If `n` is even, `n` is returned.
fn next_even_number(n: usize) -> usize {
n + n % 2
}
#[cfg(test)]
mod test {
use super::*;
pub fn reference_root(bytes: &[u8]) -> Vec<u8> {
crate::merkleize_standard(&bytes)[0..32].to_vec()
}
macro_rules! common_tests {
($get_bytes: ident) => {
#[test]
fn zero_value_0_nodes() {
test_against_reference(&$get_bytes(0 * BYTES_PER_CHUNK), 0);
}
#[test]
fn zero_value_1_nodes() {
test_against_reference(&$get_bytes(1 * BYTES_PER_CHUNK), 0);
}
#[test]
fn zero_value_2_nodes() {
test_against_reference(&$get_bytes(2 * BYTES_PER_CHUNK), 0);
}
#[test]
fn zero_value_3_nodes() {
test_against_reference(&$get_bytes(3 * BYTES_PER_CHUNK), 0);
}
#[test]
fn zero_value_4_nodes() {
test_against_reference(&$get_bytes(4 * BYTES_PER_CHUNK), 0);
}
#[test]
fn zero_value_8_nodes() {
test_against_reference(&$get_bytes(8 * BYTES_PER_CHUNK), 0);
}
#[test]
fn zero_value_9_nodes() {
test_against_reference(&$get_bytes(9 * BYTES_PER_CHUNK), 0);
}
#[test]
fn zero_value_8_nodes_varying_min_length() {
for i in 0..64 {
test_against_reference(&$get_bytes(8 * BYTES_PER_CHUNK), i);
}
}
#[test]
fn zero_value_range_of_nodes() {
for i in 0..32 * BYTES_PER_CHUNK {
test_against_reference(&$get_bytes(i), 0);
}
}
#[test]
fn max_tree_depth_min_nodes() {
let input = vec![0; 10 * BYTES_PER_CHUNK];
let min_nodes = 2usize.pow(MAX_TREE_DEPTH as u32);
assert_eq!(
merkleize_padded(&input, min_nodes),
get_zero_hash(MAX_TREE_DEPTH)
);
}
};
}
mod zero_value {
use super::*;
fn zero_bytes(bytes: usize) -> Vec<u8> {
vec![0; bytes]
}
common_tests!(zero_bytes);
}
mod random_value {
use super::*;
use rand::RngCore;
fn random_bytes(bytes: usize) -> Vec<u8> {
let mut bytes = Vec::with_capacity(bytes);
rand::thread_rng().fill_bytes(&mut bytes);
bytes
}
common_tests!(random_bytes);
}
fn test_against_reference(input: &[u8], min_nodes: usize) {
let mut reference_input = input.to_vec();
reference_input.resize(
std::cmp::max(
reference_input.len(),
min_nodes.next_power_of_two() * BYTES_PER_CHUNK,
),
0,
);
assert_eq!(
reference_root(&reference_input),
merkleize_padded(&input, min_nodes),
"input.len(): {:?}",
input.len()
);
}
}

View File

@ -1,12 +1,23 @@
use super::*;
use hashing::hash;
pub fn merkle_root(bytes: &[u8]) -> Vec<u8> {
// TODO: replace this with a more memory efficient method.
efficient_merkleize(&bytes)[0..32].to_vec()
}
pub fn efficient_merkleize(bytes: &[u8]) -> Vec<u8> {
/// Merkleizes bytes and returns the root, using a simple algorithm that does not optimize to avoid
/// processing or storing padding bytes.
///
/// The input `bytes` will be padded to ensure that the number of leaves is a power-of-two.
///
/// It is likely a better choice to use [merkleize_padded](fn.merkleize_padded.html) instead.
///
/// ## CPU Performance
///
/// Will hash all nodes in the tree, even if they are padding and pre-determined.
///
/// ## Memory Performance
///
/// - Duplicates the input `bytes`.
/// - Stores all internal nodes, even if they are padding.
/// - Does not free up unused memory during operation.
pub fn merkleize_standard(bytes: &[u8]) -> Vec<u8> {
// If the bytes are just one chunk (or less than one chunk) just return them.
if bytes.len() <= HASHSIZE {
let mut o = bytes.to_vec();

View File

@ -150,7 +150,7 @@ pub fn tree_hash_derive(input: TokenStream) -> TokenStream {
leaves.append(&mut self.#idents.tree_hash_root());
)*
tree_hash::merkleize::merkle_root(&leaves)
tree_hash::merkle_root(&leaves)
}
}
};
@ -180,7 +180,7 @@ pub fn tree_hash_signed_root_derive(input: TokenStream) -> TokenStream {
leaves.append(&mut self.#idents.tree_hash_root());
)*
tree_hash::merkleize::merkle_root(&leaves)
tree_hash::merkle_root(&leaves)
}
}
};

View File

@ -1,5 +1,5 @@
use cached_tree_hash::{CachedTreeHash, TreeHashCache};
use tree_hash::{merkleize::merkle_root, SignedRoot, TreeHash};
use tree_hash::{merkle_root, SignedRoot, TreeHash};
use tree_hash_derive::{CachedTreeHash, SignedRoot, TreeHash};
#[derive(Clone, Debug, TreeHash, CachedTreeHash)]