Ethereum: a problem with firmness contracts maps
When creating a Blockchain program, it is necessary to ensure that your strength contracts are properly optimized and maintained. One common problem that may arise is using Solidas contracts maps.
When you define map maps (address => Player) , you create many arrows for the Player structure. This can lead to several questions including:
- If your contract is called many times, it can cause significant memory leaks.
2.
In this article, we will investigate why maps are problematic in solidity contracts and provide an alternative solution that reduces the use of memory and improves performance.
Solidity maps problem
The traditional firmness map is defined as follows:
Solidarity
Map formation (address => Player) public Playermap;
`
This creates maps where each address is linked to the “player” object. Maps are not stored in Blockchain, so it is not included in the smart contract.
However, when you call a feature that updates this map, such as Playermap [PlayRaddress] .wins = 10; , Solid Compiler must check each address maps that can cause performance and slow your application.
The problem of existing contract
Here's an example of what can happen after an update of the contract using a map:
Solidarity
Contract with MyContract {
Structure Player {
Wins;
Uint loss;
}
Map formation (address => Player) public Playermap;
Function Renewal Player (Address PlayDDRESS, Uint Wins) Public {
IF (Playermap [PlayDRESS] .wins> 0) {
Playermap [Playeraddress] .wins -= wins;
} ELSE {
// Manage the wrong player address
}
}
}
`
The UpdatePlayer features a specific address map. However, this can cause activity problems if the contract is called many times.
SUGGESTED Solution: Using a structure as an array
To reduce the use of memory and improve performance, we can use structure as an array in our strength contract:
`Solidarity
Structure Player {
Wins;
Uint loss;
}
Map formation (address => Player) public Playermap;
Function Renewal Player (Address PlayDDRESS, Uint Wins) Public {
// Update maps without verifying each address
for (address addr in playermap.keys ()) {
If (ADDR == PlayRaddress) {
Playermap [Addr] .wins = Wins;
}
}
}
`
In this revised version of the contract, we define a structural “player” with two fields: Wins and Losses. Then we associate the address with a copy of this structure using maps.
This approach has several benefits:
* Memory use : Solidity compiler does not need to check each address maps, so you will save memory.
* Performance : Call a function that updates maps, can be performed without checking each address that improves performance and reduces delay.
* Flexibility : This method makes it easy to add or remove maps from your contract.
Conclusion
Maps of solidity contracts can lead to memory leakage and performance problems. Instead, using the structure, you can reduce memory use and improve performance by maintaining flexibility. In the next chapter, we will explore the more complex concepts of strength that use these improvements.
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