Struct diem_scratchpad::SparseMerkleTree
source · pub struct SparseMerkleTree<V> { /* private fields */ }
Expand description
The Sparse Merkle Tree implementation.
Implementations§
source§impl<V> SparseMerkleTree<V>where
V: Clone + CryptoHash + Send + Sync,
impl<V> SparseMerkleTree<V>where V: Clone + CryptoHash + Send + Sync,
sourcepub fn new(root_hash: HashValue) -> Self
pub fn new(root_hash: HashValue) -> Self
Constructs a Sparse Merkle Tree with a root hash. This is often used when we restart and the scratch pad and the storage have identical state, so we use a single root hash to represent the entire state.
sourcepub fn serial_update(
&self,
update_batch: Vec<Vec<(HashValue, &V)>>,
proof_reader: &impl ProofRead<V>
) -> Result<(Vec<(HashValue, HashMap<NibblePath, HashValue>)>, Self), UpdateError>
pub fn serial_update( &self, update_batch: Vec<Vec<(HashValue, &V)>>, proof_reader: &impl ProofRead<V> ) -> Result<(Vec<(HashValue, HashMap<NibblePath, HashValue>)>, Self), UpdateError>
Constructs a new Sparse Merkle Tree as if we are updating the existing tree multiple
times with the batch_update
. The function will return the root hash after each
update and a Sparse Merkle Tree of the final state.
The serial_update
applies batch_update' method many times, unlike a more optimized (and parallelizable)
batches_update’ implementation below. It takes in a reference of
value instead of an owned instance to be consistent with the `batches_update’ interface.
sourcepub fn generate_node_hashes(
&self,
touched_accounts: Vec<HashValue>
) -> HashMap<NibblePath, HashValue>
pub fn generate_node_hashes( &self, touched_accounts: Vec<HashValue> ) -> HashMap<NibblePath, HashValue>
This is a helper function that compares an updated in-memory sparse merkle with the current on-disk jellyfish sparse merkle to get the hashes of newly generated nodes.
sourcepub fn batches_update(
&self,
update_batch: Vec<Vec<(HashValue, &V)>>,
proof_reader: &impl ProofRead<V>
) -> Result<(Vec<HashValue>, Self), UpdateError>
pub fn batches_update( &self, update_batch: Vec<Vec<(HashValue, &V)>>, proof_reader: &impl ProofRead<V> ) -> Result<(Vec<HashValue>, Self), UpdateError>
Constructs a new Sparse Merkle Tree, returns the SMT root hash after each update and the
final SMT root. Since the tree is immutable, existing tree remains the same and may
share parts with the new, returned tree. Unlike serial_update', intermediate trees aren't constructed, but only root hashes are computed.
batches_update’ takes value reference
because the algorithm requires a copy per value at the end of tree traversals. Taking
in a reference avoids double copy (by the caller and by the implementation).
sourcepub fn get(&self, key: HashValue) -> AccountStatus<V>
pub fn get(&self, key: HashValue) -> AccountStatus<V>
Queries a key
in this SparseMerkleTree
.
sourcepub fn batch_update(
&self,
updates: Vec<(HashValue, &V)>,
proof_reader: &impl ProofRead<V>
) -> Result<Self, UpdateError>
pub fn batch_update( &self, updates: Vec<(HashValue, &V)>, proof_reader: &impl ProofRead<V> ) -> Result<Self, UpdateError>
Constructs a new Sparse Merkle Tree by applying updates
, which are considered to happen
all at once. See serial_update
and batches_update
which take in multiple batches
of updates and yields intermediate results.
Since the tree is immutable, existing tree remains the same and may share parts with the
new, returned tree.
Trait Implementations§
source§impl<V: Clone> Clone for SparseMerkleTree<V>
impl<V: Clone> Clone for SparseMerkleTree<V>
source§fn clone(&self) -> SparseMerkleTree<V>
fn clone(&self) -> SparseMerkleTree<V>
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read moresource§impl<V: Debug> Debug for SparseMerkleTree<V>
impl<V: Debug> Debug for SparseMerkleTree<V>
Auto Trait Implementations§
impl<V> RefUnwindSafe for SparseMerkleTree<V>where V: RefUnwindSafe,
impl<V> Send for SparseMerkleTree<V>where V: Send + Sync,
impl<V> Sync for SparseMerkleTree<V>where V: Send + Sync,
impl<V> Unpin for SparseMerkleTree<V>
impl<V> UnwindSafe for SparseMerkleTree<V>where V: RefUnwindSafe,
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