Blockchains contain enormous and complex data sets, and the way those are handled has huge implications for both the security and scalability of a blockchain network. The size of blockchains is gradually increasing over time as more transactions are executed and more people are onboarded into the space – Bitcoin has already surpassed 640 GB. But how exactly do blockchains map the constantly expanding amounts of data they’re handling? The answer lies with something called a Merkle tree, a critical blockchain concept that is often poorly understood.
In this article, we will explore what a Merkle tree is, how it works, and why it plays a critical role in Bitcoin and other blockchain applications.
A Merkle tree, also called a hash tree, is a hierarchical data structure that verifies and secures large datasets. It is the result of repeatedly hashing pairs of data and organizing them in a tree-like structure, with each higher level summarizing the data below it.
The top of the tree is the root node, while the bottom-most nodes are leaf nodes. Each leaf node represents a hashed transaction or piece of data. The intermediate nodes, also known as child nodes, contain hashes derived from the data of their corresponding child nodes below them.
Merkle trees find wide use in blockchain systems and help with data integrity and efficiency when verifying transactions. Consequently, the nodes in a blockchain can confirm transactions quickly without storing the entire blockchain history.
A Merkle tree works by continuously hashing pairs of transactions until it creates a single hash. The term for this hash is the Merkle “root”. Here’s how the process works step by step:
Blockchain networks, including Bitcoin, use Merkle trees to verify transactions without storing unnecessary data. Each block in a blockchain contains a Merkle root, acting as a cryptographic fingerprint for all transactions in that block.
When a user or node wants to verify a transaction, they only need a portion of the tree. As opposed to reviewing the entire dataset. This process, known as a Merkle proof, significantly improves efficiency by reducing the amount of data that needs to be transmitted and stored.
For example, Bitcoin nodes use Merkle trees in the Simplified Payment Verification (SPV) system, allowing users to verify transactions without downloading the entire blockchain.
Merkle trees offer several advantages in blockchain and cryptographic applications such as:
The size of a Merkle tree depends on the number of transactions it needs to store. The more transactions included in a block, the larger the tree.
However, trees scale efficiently. If a block contains N transactions, the number of levels in its tree is approximately log₂(N). This guarantees that even when dealing with thousands of transactions, only a small amount of computational work is necessary to verify any single transaction.
For example, in Bitcoin, a block typically contains 1,500–2,500 transactions, but a node only needs a few hash computations to verify whether a transaction is in a block.
Bitcoin utilizes Merkle trees to make transaction verification faster and more efficient. Without them, every node in the Bitcoin network would have to store and process the entire blockchain. Considering that the size of the blockchain keeps growing over time (currently at 491.50 GB), this would make the network slow and inefficient. Instead, Bitcoin benefits from using Merkle trees:
Merkle trees keep Bitcoin’s decentralized ledger efficient, secure, and scalable, making them an essential part of blockchain networks.
Merkle trees lie at the foundation of blockchain security. They help secure and verify transactions in a blockchain without requiring excessive storage or computational power. By using a Merkle tree, cryptocurrencies like Bitcoin can efficiently manage large amounts of transaction data while maintaining high levels of security and integrity.
By leveraging hash functions, Merkle trees ensure that even large-scale blockchain networks remain decentralized and tamper-proof.