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Скачать или смотреть Efficient Input Validation in Solidity: Best Practices for DApp Development

  • vlogize
  • 2025-03-29
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Efficient Input Validation in Solidity: Best Practices for DApp Development
input validation in soliditysoliditytruffle
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Описание к видео Efficient Input Validation in Solidity: Best Practices for DApp Development

Learn how to effectively manage input validation in Solidity for your DApp while minimizing costs and risks.
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This video is based on the question https://stackoverflow.com/q/70569173/ asked by the user 'Milad Jafari' ( https://stackoverflow.com/u/1788781/ ) and on the answer https://stackoverflow.com/a/70571947/ provided by the user 'NuMa' ( https://stackoverflow.com/u/13786832/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: input validation in solidity

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The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

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Efficient Input Validation in Solidity: Best Practices for DApp Development

Building a decentralized application (DApp) often comes with the challenge of handling complex data inputs, especially in scenarios involving geographical coordinates like polygons. One common question that developers face is: Can I calculate the area of geographical coordinates on the client-side, and what risks are involved?

In this guide, we will explore the intricacies of performing calculations on a DApp while ensuring input validation is thorough and that gas fees remain minimized.

The Problem: Calculating Areas with Geographic Coordinates

As you embark on your DApp journey, calculating the area of geographical coordinates (like polygons) becomes quite crucial. Here’s where potential issues might arise:

Client-side Calculations: Using libraries such as TurfJS can simplify calculations, but there's a significant risk involved. Users might manipulate the input data, leading to inaccurate or forged results.

Smart Contract Limitations: Although Solidity, the programming language for Ethereum smart contracts, doesn’t support float calculations directly, options are available for representing geographic data, such as using Strings or UINTs.

This brings us to the question: should you implement these calculations on the smart contract, or can you rely on client-side calculations?

The Solution: Best Practices for Efficient Input Management

1. Perform Off-Blockchain Calculations

Given the high costs of gas fees and computational expenses associated with on-chain calculations, it’s advisable to handle these operations off-blockchain. Here’s why:

Cost-Effective: Offloading calculations to client-side reduces gas fees associated with executing functions on-chain.

Utilizing Established Libraries: Client-side libraries like TurfJS provide robust and tested solutions that can effectively handle geographical calculations without overwhelming the blockchain.

2. Validate User Input

Ensuring the integrity of data before it's processed or sent on-chain is crucial. You can manage input validation as follows:

Sanitize Input Data: Implement checks to validate user inputs against expected formats and ranges before conducting calculations.

Minimize Risk of Manipulation: While you might perform values validation client-side, it’s essential to add secondary checks on the server-side (if applicable) or smart contract side to avoid any form of manipulation.

3. Use Proper Data Representation in Smart Contracts

Since Solidity lacks support for Float types, carefully structuring your data representation is necessary:

Coordinate Storage: Store the polygon coordinates as String or UINT types, ensuring you have a clear method for their interpretation within your calculations.

Avoid Complex Calculations Within Smart Contracts: Simplify your smart contract's responsibilities. It's generally better to keep your contracts manageable and limit on-chain computations, particularly with resource-heavy operations like geographic calculations.

4. Trust the Consensus Mechanism

One of the hallmarks of blockchain technology is its consensus mechanism, which ensures a level of trust in the data validated by the network:

Trust but Verify: Always verify any crucial input data against predefined rules or requirements on the blockchain before executing significant actions or changes to state.

Conclusion

While programming your DApp and especially dealing with complex calculations such as geographic coordinates, it is typically more efficient to perform these calculations off-chain. Not only does this strategy optimize your DApp for cost efficiency, but it significantly reduces risks associated with manipulated user inputs.

By following best practices for input validation, you can develop

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