Zokyo Gas Savings
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  • ๐Ÿ“šTutorials
    • โœ”๏ธGas Saving Technique 1: Unchecked Arithmetic
    • โ›“๏ธGas Saving Technique 2: Immutable Variable
    • โœจGas Saving Technique 3: Double star ** inefficiency
    • ๐Ÿ’ฐGas Saving Technique 4: Cache Array Length
    • โฌ…๏ธGas Saving Technique 5: ++i costs less gas compared to i++
    • โš–๏ธGas Saving Technique 6: NOT operator ! cheaper than boolean FALSE
    • ๐ŸชกGas Saving Technique 7: Using Short Reason Strings
    • ๐ŸชตGas Saving Technique 8: Use Custom Errors instead of Revert Strings to save Gas
    • โœ’๏ธGas Saving Technique 9: Use Custom Errors instead of Revert Strings to save Gas
    • ๐Ÿ‘พGas Saving Technique 10: Calldata cheaper than memory
    • โ›”Gas Saving Technique 11: > 0 is less efficient than != 0 for unsigned integers
    • โž—Gas Saving Technique 12: SafeMath no longer needed
    • ๐Ÿ˜ฎGas Saving Technique 13: variables default to 0
    • ๐ŸงฑGas Saving Technique 14: struct layout/ variable packing
    • ๐Ÿ“žGas Saving Technique 15: Cache External Call
    • โœ๏ธGas Saving Technique 16: Early Validation before external call
    • ๐Ÿ˜ŽGas Saving Technique 17: Donโ€™t cache value that is used once
    • ๐Ÿ˜งGas Saving Technique 18: Redundant code
    • โœ…Gas Saving Technique 19: Early Validation before external call
    • โ›๏ธGas Saving Technique 20: Storage vs Memory read optimizations
    • โœ’๏ธGas Saving Technique 21: Unneeded If statements
    • ๐ŸŒ—Gas Saving Technique 22: >= is cheaper than >
    • ๐ŸŽ’Gas Saving Technique 23: Public to private constants
    • โน๏ธGas Saving Technique 24: Make unchanged variables constant/immutable
    • โฑ๏ธGas Saving Techniques 25: Redundant Access Control Checks
    • โžก๏ธGas Saving Technique 26: Shift Right instead of Dividing by 2
    • ๐ŸชƒGas Saving Tutorial 27: Efficient Boolean Comparison
    • ๐ŸคGas Saving Technique 28: && operator uses more gas
    • ๐Ÿ‘“Gas Saving Technique 29: x = x + y is cheaper than x += y
    • ๐Ÿ‘‚Gas Saving Technique 30: Using 1 and 2 rather than 0 and 1 saves gas
    • โšฝGas Saving Technique 31: Optimize Storage by Avoiding Booleans
    • ๐Ÿ”™Gas Saving Technique 32: Optimal Use of Named Return Variables in Solidity
    • ๐Ÿ›ข๏ธGas Saving Technique 33: Making Functions Payable for Optimized Gas Costs
    • โœ๏ธGas Saving Technique 34: Optimizing Storage References in Smart Contracts
    • โ›ฐ๏ธGas Saving Technique 35: Usage of uints/ints smaller than 32 bytes (256 bits) incurs overhead
    • ๐ŸŒช๏ธGas Saving Technique 36: Inlining Single Use Internal Functions for Savings
    • โ˜„๏ธGas Saving Technique 37: Switching from Public to External Functions for Savings
    • ๐ŸŽ†Gas Saving Technique 38: Upgrading Solidity Compiler to Improve Gas Efficiency and Security
    • ๐Ÿ•ถ๏ธGas Saving Technique 39: Avoiding Duplicated Code for Gas Savings
    • ๐Ÿ˜„Gas Saving Technique 40: Removal of Unused Internal Functions for Gas Savings
    • ๐Ÿ–‹๏ธGas Saving Tutorial 41: In-lining Single Use Modifiers For Gas Saving
    • โ›๏ธGas Saving Technique 42: `require` vs`assert`
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Gas Saving Technique 10: Calldata cheaper than memory

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Last updated 1 year ago

Introduction

Gas optimization plays a crucial role in making smart contracts efficient and cost-effective. In this context, choosing the appropriate data location for function parameters is vital. For read-only data in external functions, calldata proves to be a more gas-efficient choice than memory as it avoids unnecessary data copying and is cheaper in terms of gas cost.

Impact & Details

Understanding Gas Consumption

  • Memory Costs: Using memory for function parameters incurs extra gas cost due to data copying and allocation of memory space.

  • Calldata Efficiency: calldata is an immutable data area that holds function arguments. Itโ€™s more gas-efficient as it doesn't involve copying data and utilizes the non-modifiable, non-persistent space where function arguments are already stored.

How to Implement calldata for Gas Savings

Practical Example: Optimizing Data Location with calldata

Consider an example where you have a function that accepts an array of tokens as an argument:

Before Optimization:

solidityCopy code// SPDX-License-Identifier: MIT
pragma solidity ^0.8.0;

import "@openzeppelin/contracts/token/ERC20/IERC20.sol";

contract TokenSweeper {
    function sweepTokens(IERC20[] memory _tokens) external {
        for (uint256 i = 0; i < _tokens.length; i++) {
            IERC20 token = _tokens[i];
            token.transfer(msg.sender, token.balanceOf(address(this)));
        }
    }
}

After Optimization:

solidityCopy code// SPDX-License-Identifier: MIT
pragma solidity ^0.8.0;

import "@openzeppelin/contracts/token/ERC20/IERC20.sol";

contract TokenSweeper {
    function sweepTokens(IERC20[] calldata _tokens) external {
        for (uint256 i = 0; i < _tokens.length; i++) {
            IERC20 token = _tokens[i];
            token.transfer(msg.sender, token.balanceOf(address(this)));
        }
    }
}

In the optimized version, the _tokens parameter uses calldata instead of memory, leading to lower gas consumption as it minimizes data copying.

Recommended Mitigation Steps

  1. Identify Memory Parameters: Go through your smart contracts to identify external functions with read-only parameters using memory.

  2. Replace with Calldata: Switch the data location of these parameters from memory to calldata for gas savings.

  3. Test: Rigorously test to ensure that the switch in data location does not affect the expected functionality of the contract while saving gas on transactions.

Conclusion

Switching to calldata for read-only data in external functions is a simple yet effective optimization technique for reducing gas consumption in smart contracts. The savings from this practice can be substantial over numerous transactions, especially for contracts with high traffic. After making these changes, it is imperative to perform detailed testing to ensure the contract operates as expected while utilizing less gas.

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