refactor: simplify recording MerkleStore structure

This commit is contained in:
Bobbin Threadbare
2023-06-23 23:07:24 -07:00
parent 679a30e02e
commit f08644e4df
8 changed files with 348 additions and 364 deletions

View File

@@ -9,56 +9,21 @@ use core::borrow::Borrow;
#[cfg(test)]
mod tests;
// TRAIT / TYPE DECLARATIONS
// ================================================================================================
/// A supertrait that defines the required traits for a type to be used as a data map backend for
/// the [GenericMerkleStore]
pub trait MerkleMapT:
KvMap<RpoDigest, Node>
+ Extend<(RpoDigest, Node)>
+ FromIterator<(RpoDigest, Node)>
+ IntoIterator<Item = (RpoDigest, Node)>
{
}
// MERKLE STORE
// ------------------------------------------------------------------------------------------------
/// Type that represents a standard MerkleStore.
pub type MerkleStore = GenericMerkleStore<MerkleMap>;
/// Declaration of a BTreeMap that uses a [RpoDigest] as a key and a [Node] as the value. This type
/// is used as a data backend for the standard [GenericMerkleStore].
pub type MerkleMap = BTreeMap<RpoDigest, Node>;
/// Implementation of [MerkleMapT] trait on [MerkleMap].
impl MerkleMapT for MerkleMap {}
// RECORDING MERKLE STORE
// ------------------------------------------------------------------------------------------------
/// Type that represents a MerkleStore with recording capabilities.
pub type RecordingMerkleStore = GenericMerkleStore<RecordingMerkleMap>;
/// Declaration of a [RecordingMap] that uses a [RpoDigest] as a key and a [Node] as the value.
/// This type is used as a data backend for the recording [GenericMerkleStore].
pub type RecordingMerkleMap = RecordingMap<RpoDigest, Node>;
/// Implementation of [MerkleMapT] on [RecordingMerkleMap].
impl MerkleMapT for RecordingMerkleMap {}
// NODE DEFINITION
// ================================================================================================
/// A default [MerkleStore] which uses a simple [BTreeMap] as the backing storage.
pub type DefaultMerkleStore = MerkleStore<BTreeMap<RpoDigest, Node>>;
/// A [MerkleStore] with recording capabilities which uses [RecordingMap] as the backing storage.
pub type RecordingMerkleStore = MerkleStore<RecordingMap<RpoDigest, Node>>;
#[derive(Debug, Default, Copy, Clone, Eq, PartialEq)]
pub struct Node {
left: RpoDigest,
right: RpoDigest,
}
// MERKLE STORE IMPLEMENTATION
// ================================================================================================
/// An in-memory data store for Merkelized data.
///
/// This is a in memory data store for Merkle trees, this store allows all the nodes of multiple
@@ -87,7 +52,7 @@ pub struct Node {
/// # let T1 = MerkleTree::new([A, B, C, D, E, F, G, H1].to_vec()).expect("even number of leaves provided");
/// # let ROOT0 = T0.root();
/// # let ROOT1 = T1.root();
/// let mut store = MerkleStore::new();
/// let mut store: MerkleStore = MerkleStore::new();
///
/// // the store is initialized with the SMT empty nodes
/// assert_eq!(store.num_internal_nodes(), 255);
@@ -122,25 +87,25 @@ pub struct Node {
/// assert_eq!(store.num_internal_nodes() - 255, 10);
/// ```
#[derive(Debug, Clone, Eq, PartialEq)]
pub struct GenericMerkleStore<T: MerkleMapT> {
pub struct MerkleStore<T: KvMap<RpoDigest, Node> = BTreeMap<RpoDigest, Node>> {
nodes: T,
}
impl<T: MerkleMapT> Default for GenericMerkleStore<T> {
impl<T: KvMap<RpoDigest, Node>> Default for MerkleStore<T> {
fn default() -> Self {
Self::new()
}
}
impl<T: MerkleMapT> GenericMerkleStore<T> {
impl<T: KvMap<RpoDigest, Node>> MerkleStore<T> {
// CONSTRUCTORS
// --------------------------------------------------------------------------------------------
/// Creates an empty `GenericMerkleStore` instance.
pub fn new() -> GenericMerkleStore<T> {
/// Creates an empty `MerkleStore` instance.
pub fn new() -> MerkleStore<T> {
// pre-populate the store with the empty hashes
let nodes = empty_hashes().into_iter().collect();
GenericMerkleStore { nodes }
MerkleStore { nodes }
}
// PUBLIC ACCESSORS
@@ -154,10 +119,10 @@ impl<T: MerkleMapT> GenericMerkleStore<T> {
/// Returns the node at `index` rooted on the tree `root`.
///
/// # Errors
///
/// This method can return the following errors:
/// - `RootNotInStore` if the `root` is not present in the store.
/// - `NodeNotInStore` if a node needed to traverse from `root` to `index` is not present in the store.
/// - `NodeNotInStore` if a node needed to traverse from `root` to `index` is not present in
/// the store.
pub fn get_node(&self, root: RpoDigest, index: NodeIndex) -> Result<RpoDigest, MerkleError> {
let mut hash = root;
@@ -181,7 +146,8 @@ impl<T: MerkleMapT> GenericMerkleStore<T> {
/// # Errors
/// This method can return the following errors:
/// - `RootNotInStore` if the `root` is not present in the store.
/// - `NodeNotInStore` if a node needed to traverse from `root` to `index` is not present in the store.
/// - `NodeNotInStore` if a node needed to traverse from `root` to `index` is not present in
/// the store.
pub fn get_path(&self, root: RpoDigest, index: NodeIndex) -> Result<ValuePath, MerkleError> {
let mut hash = root;
let mut path = Vec::with_capacity(index.depth().into());
@@ -225,7 +191,7 @@ impl<T: MerkleMapT> GenericMerkleStore<T> {
/// - The path from the root continues to a depth greater than `tree_depth`.
/// - The provided `tree_depth` is greater than `64.
/// - The provided `index` is not valid for a depth equivalent to `tree_depth`. For more
/// information, check [NodeIndex::new].
/// information, check [NodeIndex::new].
pub fn get_leaf_depth(
&self,
root: RpoDigest,
@@ -289,12 +255,12 @@ impl<T: MerkleMapT> GenericMerkleStore<T> {
/// nodes which are descendants of the specified roots.
///
/// The roots for which no descendants exist in this Merkle store are ignored.
pub fn subset<I, R>(&self, roots: I) -> GenericMerkleStore<T>
pub fn subset<I, R>(&self, roots: I) -> MerkleStore<T>
where
I: Iterator<Item = R>,
R: Borrow<RpoDigest>,
{
let mut store = GenericMerkleStore::new();
let mut store = MerkleStore::new();
for root in roots {
let root = *root.borrow();
store.clone_tree_from(root, self);
@@ -302,7 +268,7 @@ impl<T: MerkleMapT> GenericMerkleStore<T> {
store
}
/// Iterator over the inner nodes of the [GenericMerkleStore].
/// Iterator over the inner nodes of the [MerkleStore].
pub fn inner_nodes(&self) -> impl Iterator<Item = InnerNodeInfo> + '_ {
self.nodes.iter().map(|(r, n)| InnerNodeInfo {
value: *r,
@@ -343,7 +309,7 @@ impl<T: MerkleMapT> GenericMerkleStore<T> {
/// This will compute the sibling elements for each Merkle `path` and include all the nodes
/// into the store.
///
/// For further reference, check [GenericMerkleStore::add_merkle_path].
/// For further reference, check [MerkleStore::add_merkle_path].
pub fn add_merkle_paths<I>(&mut self, paths: I) -> Result<(), MerkleError>
where
I: IntoIterator<Item = (u64, RpoDigest, MerklePath)>,
@@ -356,7 +322,7 @@ impl<T: MerkleMapT> GenericMerkleStore<T> {
/// Appends the provided [MerklePathSet] into the store.
///
/// For further reference, check [GenericMerkleStore::add_merkle_path].
/// For further reference, check [MerkleStore::add_merkle_path].
pub fn add_merkle_path_set(
&mut self,
path_set: &MerklePathSet,
@@ -371,10 +337,10 @@ impl<T: MerkleMapT> GenericMerkleStore<T> {
/// Sets a node to `value`.
///
/// # Errors
///
/// This method can return the following errors:
/// - `RootNotInStore` if the `root` is not present in the store.
/// - `NodeNotInStore` if a node needed to traverse from `root` to `index` is not present in the store.
/// - `NodeNotInStore` if a node needed to traverse from `root` to `index` is not present in
/// the store.
pub fn set_node(
&mut self,
mut root: RpoDigest,
@@ -412,6 +378,14 @@ impl<T: MerkleMapT> GenericMerkleStore<T> {
Ok(parent)
}
// DESTRUCTURING
// --------------------------------------------------------------------------------------------
/// Returns the inner storage of this MerkleStore while consuming `self`.
pub fn into_inner(self) -> T {
self.nodes
}
// HELPER METHODS
// --------------------------------------------------------------------------------------------
@@ -431,19 +405,122 @@ impl<T: MerkleMapT> GenericMerkleStore<T> {
}
}
// RECORDING MERKLE STORE FINALIZER
// ===============================================================================================
// CONVERSIONS
// ================================================================================================
impl RecordingMerkleStore {
/// Consumes the [DataRecorder] and returns a [BTreeMap] containing the key-value pairs from
/// the initial data set that were read during recording.
pub fn into_proof(self) -> MerkleMap {
self.nodes.into_proof()
impl<T: KvMap<RpoDigest, Node>> From<&MerkleTree> for MerkleStore<T> {
fn from(value: &MerkleTree) -> Self {
let nodes = combine_nodes_with_empty_hashes(value.inner_nodes()).collect();
Self { nodes }
}
}
// EMPTY HASHES
impl<T: KvMap<RpoDigest, Node>> From<&SimpleSmt> for MerkleStore<T> {
fn from(value: &SimpleSmt) -> Self {
let nodes = combine_nodes_with_empty_hashes(value.inner_nodes()).collect();
Self { nodes }
}
}
impl<T: KvMap<RpoDigest, Node>> From<&Mmr> for MerkleStore<T> {
fn from(value: &Mmr) -> Self {
let nodes = combine_nodes_with_empty_hashes(value.inner_nodes()).collect();
Self { nodes }
}
}
impl<T: KvMap<RpoDigest, Node>> From<&TieredSmt> for MerkleStore<T> {
fn from(value: &TieredSmt) -> Self {
let nodes = combine_nodes_with_empty_hashes(value.inner_nodes()).collect();
Self { nodes }
}
}
impl<T: KvMap<RpoDigest, Node>> From<T> for MerkleStore<T> {
fn from(values: T) -> Self {
let nodes = values.into_iter().chain(empty_hashes().into_iter()).collect();
Self { nodes }
}
}
impl<T: KvMap<RpoDigest, Node>> FromIterator<InnerNodeInfo> for MerkleStore<T> {
fn from_iter<I: IntoIterator<Item = InnerNodeInfo>>(iter: I) -> Self {
let nodes = combine_nodes_with_empty_hashes(iter.into_iter()).collect();
Self { nodes }
}
}
impl<T: KvMap<RpoDigest, Node>> FromIterator<(RpoDigest, Node)> for MerkleStore<T> {
fn from_iter<I: IntoIterator<Item = (RpoDigest, Node)>>(iter: I) -> Self {
let nodes = iter.into_iter().chain(empty_hashes().into_iter()).collect();
Self { nodes }
}
}
// ITERATORS
// ================================================================================================
impl<T: KvMap<RpoDigest, Node>> Extend<InnerNodeInfo> for MerkleStore<T> {
fn extend<I: IntoIterator<Item = InnerNodeInfo>>(&mut self, iter: I) {
self.nodes.extend(iter.into_iter().map(|info| {
(
info.value,
Node {
left: info.left,
right: info.right,
},
)
}));
}
}
// SERIALIZATION
// ================================================================================================
impl Serializable for Node {
fn write_into<W: ByteWriter>(&self, target: &mut W) {
self.left.write_into(target);
self.right.write_into(target);
}
}
impl Deserializable for Node {
fn read_from<R: ByteReader>(source: &mut R) -> Result<Self, DeserializationError> {
let left = RpoDigest::read_from(source)?;
let right = RpoDigest::read_from(source)?;
Ok(Node { left, right })
}
}
impl<T: KvMap<RpoDigest, Node>> Serializable for MerkleStore<T> {
fn write_into<W: ByteWriter>(&self, target: &mut W) {
target.write_u64(self.nodes.len() as u64);
for (k, v) in self.nodes.iter() {
k.write_into(target);
v.write_into(target);
}
}
}
impl<T: KvMap<RpoDigest, Node>> Deserializable for MerkleStore<T> {
fn read_from<R: ByteReader>(source: &mut R) -> Result<Self, DeserializationError> {
let len = source.read_u64()?;
let mut nodes: Vec<(RpoDigest, Node)> = Vec::with_capacity(len as usize);
for _ in 0..len {
let key = RpoDigest::read_from(source)?;
let value = Node::read_from(source)?;
nodes.push((key, value));
}
Ok(nodes.into_iter().collect())
}
}
// HELPER FUNCTIONS
// ================================================================================================
/// Creates empty hashes for all the subtrees of a tree with a max depth of 255.
fn empty_hashes() -> impl IntoIterator<Item = (RpoDigest, Node)> {
let subtrees = EmptySubtreeRoots::empty_hashes(255);
@@ -478,122 +555,3 @@ fn combine_nodes_with_empty_hashes(
})
.chain(empty_hashes().into_iter())
}
// CONVERSIONS
// ================================================================================================
impl<T: MerkleMapT> From<&MerkleTree> for GenericMerkleStore<T> {
fn from(value: &MerkleTree) -> Self {
let nodes = combine_nodes_with_empty_hashes(value.inner_nodes()).collect();
GenericMerkleStore { nodes }
}
}
impl<T: MerkleMapT> From<&SimpleSmt> for GenericMerkleStore<T> {
fn from(value: &SimpleSmt) -> Self {
let nodes = combine_nodes_with_empty_hashes(value.inner_nodes()).collect();
GenericMerkleStore { nodes }
}
}
impl<T: MerkleMapT> From<&Mmr> for GenericMerkleStore<T> {
fn from(value: &Mmr) -> Self {
let nodes = combine_nodes_with_empty_hashes(value.inner_nodes()).collect();
GenericMerkleStore { nodes }
}
}
impl<T: MerkleMapT> From<&TieredSmt> for GenericMerkleStore<T> {
fn from(value: &TieredSmt) -> Self {
let nodes = combine_nodes_with_empty_hashes(value.inner_nodes()).collect();
GenericMerkleStore { nodes }
}
}
impl<T: MerkleMapT> FromIterator<InnerNodeInfo> for GenericMerkleStore<T> {
fn from_iter<I: IntoIterator<Item = InnerNodeInfo>>(iter: I) -> Self {
let nodes = combine_nodes_with_empty_hashes(iter).collect();
GenericMerkleStore { nodes }
}
}
impl From<MerkleStore> for RecordingMerkleStore {
fn from(value: MerkleStore) -> Self {
GenericMerkleStore {
nodes: RecordingMerkleMap::new(value.nodes.into_iter()),
}
}
}
impl FromIterator<(RpoDigest, Node)> for RecordingMerkleMap {
fn from_iter<T: IntoIterator<Item = (RpoDigest, Node)>>(iter: T) -> Self {
RecordingMerkleMap::new(iter)
}
}
impl From<MerkleMap> for MerkleStore {
fn from(value: MerkleMap) -> Self {
GenericMerkleStore { nodes: value }
}
}
// ITERATORS
// ================================================================================================
impl<T: MerkleMapT> Extend<InnerNodeInfo> for GenericMerkleStore<T> {
fn extend<I: IntoIterator<Item = InnerNodeInfo>>(&mut self, iter: I) {
self.nodes.extend(iter.into_iter().map(|info| {
(
info.value,
Node {
left: info.left,
right: info.right,
},
)
}));
}
}
// SERIALIZATION
// ================================================================================================
impl Serializable for Node {
fn write_into<W: ByteWriter>(&self, target: &mut W) {
self.left.write_into(target);
self.right.write_into(target);
}
}
impl Deserializable for Node {
fn read_from<R: ByteReader>(source: &mut R) -> Result<Self, DeserializationError> {
let left = RpoDigest::read_from(source)?;
let right = RpoDigest::read_from(source)?;
Ok(Node { left, right })
}
}
impl<T: MerkleMapT> Serializable for GenericMerkleStore<T> {
fn write_into<W: ByteWriter>(&self, target: &mut W) {
target.write_u64(self.nodes.len() as u64);
for (k, v) in self.nodes.iter() {
k.write_into(target);
v.write_into(target);
}
}
}
impl Deserializable for GenericMerkleStore<MerkleMap> {
fn read_from<R: ByteReader>(source: &mut R) -> Result<Self, DeserializationError> {
let len = source.read_u64()?;
let mut nodes: MerkleMap = BTreeMap::new();
for _ in 0..len {
let key = RpoDigest::read_from(source)?;
let value = Node::read_from(source)?;
nodes.insert(key, value);
}
Ok(GenericMerkleStore { nodes })
}
}

View File

@@ -1,6 +1,6 @@
use super::{
EmptySubtreeRoots, MerkleError, MerklePath, MerkleStore, NodeIndex, RecordingMerkleStore,
RpoDigest,
DefaultMerkleStore as MerkleStore, EmptySubtreeRoots, MerkleError, MerklePath, NodeIndex,
RecordingMerkleStore, RpoDigest,
};
use crate::{
hash::rpo::Rpo256,
@@ -38,7 +38,7 @@ const VALUES8: [RpoDigest; 8] = [
#[test]
fn test_root_not_in_store() -> Result<(), MerkleError> {
let mtree = MerkleTree::new(digests_to_words(&VALUES4))?;
let store = MerkleStore::default();
let store = MerkleStore::from(&mtree);
assert_eq!(
store.get_node(VALUES4[0], NodeIndex::make(mtree.depth(), 0)),
Err(MerkleError::RootNotInStore(VALUES4[0])),
@@ -826,6 +826,7 @@ fn test_recorder() {
KEYS8.into_iter().zip(VALUES8.into_iter().map(|x| x.into()).rev()),
)
.unwrap();
let mut recorder: RecordingMerkleStore =
mtree.inner_nodes().chain(smtree.inner_nodes()).collect();
@@ -845,7 +846,8 @@ fn test_recorder() {
assert_eq!(recorder.get_node(root, index_2).unwrap(), new_value);
// construct the proof
let proof = recorder.into_proof();
let rec_map = recorder.into_inner();
let proof = rec_map.into_proof();
let merkle_store: MerkleStore = proof.into();
// make sure the proof contains all nodes from both trees