Improve performance for creating crdt.TreeNode #939
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The time complexity of creating crdt.TreeNode is O(N^2), potentially causing performance bottlenecks. It's optimized to O(n).
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WalkthroughThe recent changes enhance the Changes
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- api/converter/from_pb.go (1 hunks)
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api/converter/from_pb.go (3)
586-587: InitializedepthTablemap with root node.The
depthTablemap is initialized to store the most recently processed node at each depth, starting with the root node.
589-589: UsedepthTablefor direct parent node access.The
depthTablemap is used to directly access the parent node based on its depth, eliminating the need for nested loops.
594-594: UpdatedepthTablewith the current node.After processing each node, the current node is added to the
depthTable, ensuring that the parent can be quickly accessed in subsequent iterations.
In order to check the performance of the tree, a tree_editing_bench_test file was added and a tree converting test was implemented.
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- test/bench/tree_editing_bench_test.go (1 hunks)
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GitHub Check: bench
test/bench/tree_editing_bench_test.go
[failure] 53-53:
undefined: api
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test/bench/tree_editing_bench_test.go (5)
1-20: Header and package declaration are correct.The build constraints and licensing information are standard and correctly declared.
21-27: Import statements are correct.The imported packages are necessary and correctly used in the file.
29-31: BenchmarkTreeEditing function is correct.The function correctly sets up the benchmark by calling
BenchmarkTreeConverting.
33-50: BenchmarkTreeConverting function is correct.The function correctly sets up and runs multiple benchmarks with different vertex counts.
68-74: TreeConverting function is correct.The function correctly sets up and runs the benchmark for converting protobuf tree nodes to
crdt.TreeNode.
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- test/bench/tree_editing_bench_test.go
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- test/bench/tree_editing_bench_test.go
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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. --------- Co-authored-by: JiHwan Yim <raararaara@gmail.com> Co-authored-by: Youngteac Hong <susukang98@gmail.com>
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I've cleaned up the benchmark code a little more. Please refer to the commit below. Before: After: |
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. --------- Co-authored-by: JiHwan Yim <raararaara@gmail.com> Co-authored-by: Youngteac Hong <susukang98@gmail.com>
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:
Summary by CodeRabbit
Summary by CodeRabbit
Improved Performance
Code Readability