[Tech Request]: optimize hashmap dup

[badboynt1]

What type of PR is this?

• API-change
• BUG
• Improvement
• Documentation
• Feature
• Test and CI
• Code Refactoring

Which issue(s) this PR fixes:

issue #15967

What this PR does / why we need it:

optimize hashmap dup to save memory

[matrix-meow]

@badboynt1 Thanks for your contributions!

Pull Request Review:

Title:

The title of the pull request is clear and informative, indicating that it is a request to optimize the hashmap duplication process.

Body:

The body of the pull request provides relevant information about the type of PR (Improvement), the specific issue it addresses (issue #15967), and the purpose of the changes (to optimize hashmap duplication to save memory).

Changes:

1. In the compile.go file, within the newJoinBuildScope function, the change made is to modify the argument passed to the constructJoinBuildInstruction function. The change is from ss != nil to false.

Feedback and Suggestions for Improvement:

1. Code Optimization:

   • The change made in the pull request seems to be related to optimizing the hashmap duplication process to save memory. However, the specific optimization is not explicitly clear from the diff provided.
   • It would be beneficial to include more details in the pull request description about how this change optimizes the hashmap duplication process and how it helps in saving memory. Providing this context can help reviewers understand the impact of the optimization better.

2. Code Clarity and Maintainability:

   • The change made seems straightforward, but it would be helpful to have comments or a more descriptive commit message explaining the rationale behind changing the argument from ss != nil to false. This would aid in understanding the purpose of the modification for future reference.

3. Security Concerns:

   • From the provided diff, there are no apparent security concerns. However, it is essential to ensure that optimizations do not compromise data integrity or introduce vulnerabilities. It is recommended to conduct thorough testing, especially around the hashmap duplication logic, to validate the changes.

4. Testing:

   • It is crucial to include relevant tests to verify that the optimization does not introduce regressions or unexpected behavior. Adding test cases that cover the hashmap duplication functionality can help ensure the correctness of the optimization.

5. Documentation:

   • Consider updating any relevant documentation to reflect the changes made, especially if the optimization impacts how developers interact with or understand the code related to hashmap duplication.

6. Review and Collaboration:

   • Encourage collaboration and feedback from team members to gather diverse perspectives on the optimization approach and its implications. This can lead to a more robust solution and help in identifying any overlooked aspects.

In conclusion, while the optimization in the pull request appears to target memory savings in the hashmap duplication process, providing more context, ensuring code clarity, conducting thorough testing, and considering documentation updates are essential steps to enhance the quality and maintainability of the codebase.