Introduction to Blockchain Scaling Through Sharding
Sharding divides a blockchain or database into multiple smaller partitions, allowing different shards to process and store specific data separately, thereby reducing the burden on a single main chain. It is a scaling approach for the underlying network, but it also requires coordination mechanisms and security protections.
How Sharding Works
The common idea behind sharding is to divide data that needs to be processed or stored into smaller partitions. Some execution-sharding designs have each shard process its own transactions and interact through coordination mechanisms; other designs focus on distributing data storage and verifying availability. These should not be broadly understood to mean that every shard independently executes a separate transaction ledger.
Scaling and Node Operation
Sharding is a scaling approach for the underlying network and can reduce the data-processing burden on individual participants, but its benefits depend on the verification and coordination scheme. An attack on a single shard or data unavailability may affect the system. Therefore, participant allocation, cross-partition communication, and security assumptions must be clearly defined; the number of partitions alone is not enough.
Distinguishing Ethereum’s New and Old Roadmaps
Ethereum’s current scaling direction focuses on rollups and cheaper data availability. Official documentation states that Dencun, in 2024 year March, introduced Proto-Danksharding’s blob data to help rollups reduce data costs. The Academy’s original text refers to 64 independent execution shards, which belong to an outdated roadmap and should not be considered part of the currently implemented architecture.
Original Tutorial
https://www.binance.com/zh-CN/academy/glossary/sharding
Ethereum’s Official Scaling Roadmap
https://ethereum.org/roadmap/scaling/
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