Improve performance for creating crdt.TreeNode

m4ushold commented 1 month ago

What this PR does / why we need it:

The time complexity of creating crdt.TreeNode is O(N^2), potentially causing performance bottlenecks. It's optimized to O(n).

While this may not be a significant issue currently, there is a risk that as the number of tree nodes in the protobuf increases, operations will scale quadratically, potentially causing performance bottlenecks.

Which issue(s) this PR fixes:

Addresses #930

Special notes for your reviewer:

Does this PR introduce a user-facing change?:

Additional documentation:

Checklist:

[x] Added relevant tests or not required
[x] Didn't break anything

Summary by CodeRabbit

Improved Performance
- Enhanced efficiency in managing parent-child relationships among tree node instances, particularly for larger datasets.
- Introduced benchmarking tests to assess performance for tree editing and conversion operations, offering insights into efficiency.
Code Readability
- Simplified control flow in the management of parent-child relationships, improving overall code comprehension.

CLAassistant commented 1 month ago

All committers have signed the CLA.

coderabbitai[bot] commented 1 month ago

Walkthrough

The recent changes enhance the FromTreeNodes function in api/converter/from_pb.go, streamlining the management of parent-child relationships among TreeNode instances. By introducing a depthTable, the new implementation allows direct access to parent nodes, significantly boosting efficiency and readability, especially for larger datasets. Additionally, new benchmarking tests have been added to assess the performance of tree editing operations across various sizes.

Changes

File	Change Summary
`api/converter/from_pb.go`	Optimized `FromTreeNodes` function by replacing nested loops with a `depthTable` for direct parent node access, improving time complexity and overall performance.
`test/bench/tree_editing_bench_test.go`	Introduced benchmarking tests for tree editing operations with `BenchmarkTreeEditing` and `BenchmarkTreeConverting`, assessing performance across various tree sizes.

Poem

In the forest deep, where tree nodes grow,
A rabbit found a way to make them flow.
With a map of depth, oh what a sight,
No more loops to slow down the night!
Hopping through code, so swift and bright,
Efficiency gained, oh what a delight! 🐇✨

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hackerwins commented 1 month ago

I've cleaned up the benchmark code a little more. Please refer to the commit below. https://github.com/yorkie-team/yorkie/commit/379ee54f5c72216d429addb1ce1915101c974ba5

Before:

After:

yorkie-team / yorkie