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How to deal with the complexity of data storage in Ethereum smart contract
How does the smart contract of Ethereum deal with the complexity of data storage?

With the continuous development of blockchain technology, the smart contract of Ethereum has become more and more complicated because it needs to process more and more data. These data usually include various types of digital assets, such as tokens, files, audio and video, and other types of information, such as user ID, password and transaction history. Although the complexity of the smart contract of Ethereum is getting higher and higher, the complexity of its data storage is also increasing. Therefore, developers need to adopt different methods to deal with the complexity of data storage of Ethereum smart contract. This article will introduce how Ethereum Smart Contract handles the complexity of data storage.

Selection of storage structure

To manage a large amount of data, the developer of Ethereum smart contract needs to choose an effective storage structure. This includes common data structures such as hash tables, linked lists, queues and stacks. Hash tables are widely used to map key-value pairs, linked lists are used to build ordered data structures, and queues and stacks are used to access data sequentially. Developers can also choose to use nested storage structures, for example, nesting hash tables in linked lists.

Restrictions on storing updates

The data stored in the Ethernet smart contract is not permanent, but is stored in the global state transition of the Ethernet network. The updated storage limits include the storage limits of each block, each transaction and each smart contract. Developers need to recognize these limitations and modify their smart contracts accordingly to ensure that they can successfully store and update data.

Consideration of natural gas cost

Storing more data in Ethereum Smart Contract means that more fuel costs are needed to successfully store and update data. The amount of gas charges depends on the type and amount of stored data. Therefore, developers need to consider and calculate the natural gas cost that their smart contracts will need, so as to ensure that their smart contracts will not lose interest because of the high natural gas cost.

conclusion

The complexity of Ethereum smart contract makes data storage more complicated and challenging. Developers need to choose an appropriate storage structure and plan storage updates to effectively handle their storage needs. In addition, considering the gas cost is also a key factor to deal with the complexity of data storage. Although the data storage complexity of Ethereum smart contract is getting higher and higher, developers can easily handle it with the skills and methods mentioned above.