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Announcing World Trade Francs: The Official Ethereum Stablecoin 01st April, Ethereum scalability research and development subsidy programs 02nd January, First of all, let us begin by exploring why the current Ethereum client database is so large.
The purpose of this is simple: For light clients, the state root is even more advantageous: However, this state tree mechanism has an important disadvantage if implemented naively: To see why, consider this diagram here:. The change in the tree during each individual block is fairly small, and the magic of the tree as a data structure is that most of the data can simply be referenced twice without being copied. However, even still, for every change to the state that is made, a logarithmically large number of nodes ie.
In practical terms, the Ethereum blockchain is only 1. So, what can we do? The alternative approach is to implement state tree pruning: Essentially, we store the tree nodes that are part of the current state, and we even store recent history, but we do not store history older than blocks.
X should be set as low as possible to conserve space, but setting X too low compromises robustness: Once this is done, the database should only be storing state nodes associated with the last X blocks, so you will still have all the information you need from those blocks but nothing more.
On top of this, there are further optimizations. Now, how much savings can this give us? As it turns out, quite a lot! At every value in between, we can expect the disk space growth to be linear ie. Note that we may want to pursue a hybrid strategy: That said, light clients will also need to prune block headers if they are to survive in low-memory circumstances. The strategy described above has been implemented in a very early alpha form in pyeth ; it will be implemented properly in all clients in due time after Frontier launches, as such storage bloat is only a medium-term and not a short-term scalability concern.
Are the current state trees generated locally by each client, or are they being pulled over the wire when synchronizing with the network?
And even people with fast connections may be limited by the connection speeds of their peers…. In networking, we solve problems like this with a hierarchical model. As long as there are a suitable number of supernodes participating in the network, this method allows scale relatively easily. This sounds vaguely similar to my quadratic scaling model here https: Thanks very much for the link Vitalik; still digging through it.
Blocks simply come with some pre-computed data in them, but if you have all the blocks, you can compute the data locally and if you the block is no longer the head, the state root is effectively stale cache that can be deleted, or am I missing something?
Nice, learned about Entereum today, and by seeing the state is keep in a tree, I think this provides much more scalability than BitCoin. For audit purposes, can there be a procedure to recover the pruned sections of the tree? Just my 2 cents. You may use these HTML tags and attributes: State Tree Pruning Introduction. The Official Ethereum Stablecoin 01st April, Ethereum scalability research and development subsidy programs 02nd January, Author oliverkx Posted at 9: And even people with fast connections may be limited by the connection speeds of their peers… Reply.
Author Vitalik Buterin Posted at 7: Generated locally by the client. Author William Mougayar Posted at 2: Author Simon de la Rouviere Posted at Author Blake Posted at Author Vitalik Buterin Posted at 9: Author Blake Posted at 1: Author Kobi Gurkan Posted at 3: Author Rick Dudley Posted at 2: Author Marco Hernandez Posted at 5: