Uint Murement optimization of Entrance Stability Functions to Reduced Size of Msg.DATA
Using a function with Uints array as input parameters such as “Samplefunction (Uint [] Calldata)”, it is important to optimize the size of the input to reduce the size of “msg.data”. In this article, we will study ways to reduce the size of the input argument “Uint [] Calldata”.
Understanding msg.data size
Solidity, msg.data reflects the memory transferred from the contract to other contracts or external functions when they call the function. The size of msg.data depends on the type and number of the transferred arguments.
For Uinta massive (uint []) with 6 elements, let’s say that the maximum value of each element is 2^256 – 1 (maximum value in the type of solidness in unsigned whole number).
Massive size optimization
To reduce the size of “msg.data”, consider the following strategies:
1.
Reduce the size of the items
- In your feature, make sure that every element “Uint [] Calldata” is as small as possible as long as it is valid for surgery.
- If you have data control, try to reduce the value of all items.
Example:
`Solidness
Functions Sample Function (Uint [] Calldata) Public {
// assume that 1900000000000000 is a valid number and not too big
UINT256 NUM1 = 1900000000000000;
Uint256 NUM2 = 1; // low value
Uint256 NUM3 = 990; // average value
Uint256 NUM4 = 2; // low value
}
`
2.
Use arrays with limited element size
If the maximum possible size of each element is known, use an array of this size.
Example:
`Solidness
Functions Sample Function (Uint [] Calldata) Public {
Uint256 [] memory data = new Uint256 [] (6);
// Initialize the items of an array of data here
}
`
3
Use the understanding of the array
A mass understanding can help reduce the size of “msg.data” by obtaining common elements or models of input data.
Example:
`Solidness
Functions Sample Function (Uint [] Calldata) Public {
Uint256 [] memory data = [190000000000, 1, 990, 990, 2, 1];
// filter large numbers and store in a new array
Uint256 [] memory Filtreddata = [];
for (uint256 i = 0; I
If (data [I] <= 10000000000) {
Filetreddata.push (data [i]);
}
}
}
`
4.
Use the distribution and residues of the array
If performance is crucial, consider using a mass distribution and creating methods to reduce memory use.
Example:
`Solidness
Functions Sample Function (Uint [] Calldata) Public {
Uint256 [] memory data = new Uint256 [] (6);
// Memory giving input here
// Use contours or array methods to update the items in data array
}
`
5.
Use a minimized type
If possible, use the Uint type of minimized size (eg Uint256) instead of Uint ‘. However, keep in mind that the Uint256 'is still relatively large and can be optimized in any stability.
Conclusion
By applying these strategies, you can significantly reduce the size of MSG.DATA if the input parameters are used using the Uints massif. Remember to carefully evaluate each approach based on your requirements for special use and performance.
Code example:
Solidness
Pragma Solidity ^0.8.