Improve Amoro: Merge Duplicate CalculateQuotaOccupy Functions

by Henrik Larsen 62 views

Hey guys! Today, we're diving into an exciting improvement for the Apache Amoro project. This is all about making our codebase cleaner, more maintainable, and just generally more awesome. We're going to talk about merging two nearly identical functions, and trust me, this is going to be a fun ride!

The Issue: Duplicate calculateQuotaOccupy Functions

So, here's the deal. In the Optimizing Management Web UI, we've got this cool feature where we display the occupation results for each table. This helps us understand how much space each table is taking up and how efficiently it's being used. To do this, we use a function called calculateQuotaOccupy. Makes sense, right?

<img width="778" height="666" alt="Image" src="https://github.com/user-attachments/assets/6d47a638-4eea-491f-9a68-82b3ac679a05" />

Now, when we schedule a table for optimization, we also need to figure out its occupation. This helps us prioritize which tables need optimization the most. And guess what? We're using another function, also called calculateQuotaOccupy, to do this.

<img width="809" height="475" alt="Image" src="https://github.com/user-attachments/assets/60f13635-019b-45ee-98c6-e457bee9358b" />

The problem here is that these two functions are almost identical. This isn't ideal because it means we're duplicating code, which can lead to inconsistencies and make maintenance a real headache. Imagine having to fix a bug in one function and then remembering to fix it in the other one too. Yikes!

Why Duplicated Code Is a No-Go

  • Inconsistency: When you have the same logic in multiple places, it's easy for them to drift apart over time. One function might get updated while the other doesn't, leading to different results and unexpected behavior.
  • Maintenance Nightmare: Debugging and updating duplicated code is a pain. You have to track down every instance of the code and make sure you're applying the changes consistently.
  • Increased Codebase Size: Duplicated code makes your codebase larger and more complex, which can slow down development and make it harder for new contributors to get involved.

The Goal: One Function to Rule Them All

Our goal here is simple: merge these two calculateQuotaOccupy functions into a single, unified function. This will make our code more consistent, easier to maintain, and generally more awesome. Think of it as decluttering your digital workspace – the cleaner, the better!

The Solution: Implement calculateQuotaOccupy in OptimizingUtil

So, how do we fix this? The proposed solution is to implement a single calculateQuotaOccupy function within the OptimizingUtil class. This makes perfect sense because OptimizingUtil is a great place for utility functions that are used across different parts of the codebase.

Why OptimizingUtil?

  • Centralized Location: OptimizingUtil acts as a central hub for optimization-related utilities. This makes it easy to find and reuse functions.
  • Improved Code Organization: By placing the function in OptimizingUtil, we're keeping our code organized and making it clear where to find optimization-related logic.
  • Reduced Duplication: This is the main goal! By having a single function, we eliminate the duplication and ensure consistency.

How to Implement the Merge

  1. Identify the Common Logic: First, we need to carefully examine the two existing calculateQuotaOccupy functions and identify the core logic that they share. This will form the basis of our merged function.
  2. Create the Unified Function: Next, we'll create a new calculateQuotaOccupy function in OptimizingUtil. This function will incorporate the common logic we identified in the previous step.
  3. Handle Differences: There might be slight differences between the two existing functions. We need to carefully handle these differences in the merged function, possibly by adding parameters or conditional logic.
  4. Update Call Sites: Finally, we need to update all the places where the existing calculateQuotaOccupy functions are called to now use the new function in OptimizingUtil.

Benefits of the Unified Function

  • Consistency: We ensure that the quota occupation calculation is always done the same way, regardless of where it's being used.
  • Maintainability: If we need to update the calculation logic, we only have to do it in one place.
  • Readability: A single, well-defined function is easier to understand and reason about than two similar functions.

Willing to Submit a PR!

The awesome part is that the person who raised this issue is willing to submit a Pull Request (PR) to fix it! This is fantastic because it means we're one step closer to having a cleaner, more maintainable codebase. If you're new to open source, submitting a PR is how you contribute code changes to a project. It's a great way to learn and make a difference.

What's a Pull Request (PR)?

A Pull Request is essentially a request to merge your code changes into the main codebase of a project. It's a standard process in open source development and allows other contributors to review your changes, provide feedback, and ensure that the changes are high quality.

Steps to Submit a PR

  1. Fork the Repository: First, you create your own copy of the project's repository on GitHub.
  2. Create a Branch: You create a new branch in your forked repository to work on the changes.
  3. Implement the Changes: You make the necessary code changes to implement the fix or feature.
  4. Commit the Changes: You commit your changes with descriptive commit messages.
  5. Push the Changes: You push your branch to your forked repository on GitHub.
  6. Create a Pull Request: You create a Pull Request from your branch to the main repository.
  7. Review and Feedback: Other contributors will review your PR and provide feedback. You might need to make additional changes based on the feedback.
  8. Merge: Once the PR is approved, it will be merged into the main codebase.

Subtasks and Code of Conduct

In this particular issue, there are no specific subtasks listed, but the contributor has agreed to follow the project's Code of Conduct. This is super important because it sets the tone for a respectful and collaborative environment.

Code of Conduct: Why It Matters

A Code of Conduct is a set of rules outlining how members of a community should behave. It's designed to ensure that everyone feels welcome and safe, and that discussions are respectful and productive. By agreeing to the Code of Conduct, contributors are committing to upholding these standards.

Conclusion: A Step Towards a Better Amoro

So, there you have it! Merging the calculateQuotaOccupy functions is a small but significant step towards making Apache Amoro an even better project. By eliminating code duplication, we're improving consistency, maintainability, and overall code quality. And with a contributor willing to submit a PR, we're well on our way to making this improvement a reality. Keep an eye out for the PR and get ready to review it, guys! Let's make Amoro awesome together!