Posts tagged "trie":
28 Jul 2024
Ethereum Merkle Patricia Trie
This is a personal note of Ethereum Merkle Patricia Trie (MPT), resources are from:
1. Blockchain fundamentals
1.1. RLP (Recursive Length Prefix)
- A serialization method to encode arbitrarily nested arrays of binary data.
- RLP provides a simple (e.g., no type), space-efficient and deterministic encoding.
1.2. Merkle tree
- Used in Bitcoin to simplify proof of inclusion (PoI) of a transaction.
- If one computes the hash of an array of \(N\):
- Construction complexity: \(O(n)\) time and space.
- PoI complexity: \(O(n)\) time and space (needs all other items).
1.2.1. Complexity for \(N\) items.
- Construction: \(O(2n)\) time and space.
- PoI complexity:
- \(O(logN)\) space: PoI requires one hash from each level from the leaf to the root (the Merkle tree is binary).
- \(O(logN)\) time: \(O(logN)\) to collect all hashes, and \(O(logN)\) to generate the proof.
1.3. Patricia tree
- Trie: a data structure that stores key-value pair in a key’s prefix tree.
- Patricia tree: compress trie by merging nodes on the same path.
- The structure the Patricia tree is independent of the item insertion order.
- The time complexity for add, query and deletion is \(O(K)\), where \(K\) is the key length.
1.4. Merkle Patricia Tree (MPT)
- MPT is a hex-ary Merkle tree with an additional DB for hash lookup.
- There are 4 types of nodes:
- Empty node: the null node the root points to when first creating the tree.
- Leaf node: stores the real data, e.g., account balance.
- Branch node: stores the pointers to at most 16 other nodes, e.g., they have the common prefix (nibbles) before and differ at the current nibble (4 bit,0-f).
- Extension node: record the compressed common prefix for a branch node.
- Each pointer in the tree is the hash value of the child node; the real node data is stored in a separate DB that maps from a node hash to its data.
- If the child node is small, the parent node could also directly store the node data rather than the hash pointer.
- In practical implementation, the entire tree is typically stored in a KV DB, and each node is stored with its hash as the key.
1.4.1. Prefix byte
- Identify both the node type and the parity of the stored nibbles.
- Leaf node: 2 if the
key-end
has even number of nibbles, e.g., the compressed ending of an account; 3X if the number is odd (so the last 4-bit is stored as X in the prefix). - Extension: 0 if the
shared nibbles
has even number; 1X if has odd number.
1.4.2. Complexity for \(N\) items and key length \(K\)
- Construction:
- Time: worst \(O(NK)\); average: \(O(Nlog_{16}N)\).
- Space: \(O(N)\).
- Indexing (e.g., query an account balance):
- Time: tree traversal worst \(O(K)\), average \(O(log_{16}N)\); each traversal equals a DB query.
- PoI: \(O(16log_{16}N)\) time and space.
- Calculating the hash of a branch node requires the hash of all 16 child nodes.
1.5. Rollup state tree
- Rollup has a higher performance requirement for PoI.
- Separate the indexing and PoI with a sorted key-value arrays and a (binary) Merkle tree.
- MPT:
{Addr0: State0, Addr1: State1,...}
. - Rollup: map:
{Addr0: Id0, Addr1: Id1,...}
+ array:[(Addr0, State0), (Addr1, State1),...]
.
- MPT:
- When a client wants to query an account, it first gets the key id from the map, then get the state from the array.
- When a node wants to generate PoI, it follows the merkle path and collect hashes (more hashes than MPT).
1.6. PoI for Verkle tree (see MegaETH post for details)
- Stateless light nodes get a witness along with the new block, the witness is a PoI for the state change in the block.
- Light nodes download related state information, e.g., changed account from other full nodes, or from the portal network.
1.7. Polynomial/KZG commitment
- In MPT, PoI for a branch node requires the hash values of all branches.
- KZG commitment reduce the proof size by adding a polynomial formula \(f(x)\) in the branch node, and each branch has a point \((x, y)\) such that \(y = f(x)\).
- In this way, the proof no longer requires hashes of other branches, the proof space complexity \(O(log_{16}N)\) (no 16 coefficient).
2. Ethereum MPT data structure
- Essentially is a key-value mapping; it provides
Get
,Put
andDel
functions. - Ethereum has 3 MPTs: transaction trie; receipt trie and state trie, each trie root hash is included in the block header.
transactionTrie
: all transactions included in the block.- The keys are the RLP encodings of an unsigned integer starting from 0.
- The values are the RLP encodings of the transaction.
stateTrie
: all account states in the network.receiptTrie
: the outcomes of all transaction executions in the block, e.g., gas used, transaction status.
3. Ethereum MPT Functionality
- Allows to verify data integrity with the
Hash
function to compute the Merkle root hash. - Allows to verify the inclusion of a key-value pair without the access to the entire key-value pairs.
- A full node provide a merkle proof
Proof
for a key-value pair (e.g., an account and its balance). - A light node can verify a proof only against the root hash with
VerifyProf(rootHash, key, proof)
; if the proof does not match the hash (e.g., the balance mismatches), an error is thrown.
- A full node provide a merkle proof
- Why would a light node trust the root hash: it trusts the consensus mechanism, e.g., other benign full nodes verify the hash, act honestly is more profitable.
4. Proof of inclusion
- Proof: the path from the root to the leaf node.
- Verification: start from the root, decode the node to match the nibbles until find the node that matches all the remaining nibbles; if not found, the proof is invalid.