68 lines
4.2 KiB
Markdown
68 lines
4.2 KiB
Markdown
# Pydantic 2 vs MsgSpec
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Libs used for benchmark:
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- [pydantic 2.4.2](https://docs.pydantic.dev/latest/)
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- [msgspec 0.18.4](https://jcristharif.com/msgspec/index.html)
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- [attrs 23.1.0](https://www.attrs.org)
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Note that Pydantic used in benchmark is v2 which should be dozen of times faster than Pydantic v1. I have no time to waste benchmarking Pydantic v1.
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## Usage
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### Install virtual environment
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```
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poetry install
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```
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### Create test data
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- Edit `benchmark/factories.py` and set `COLUMNS_COUNT` and `PLANOGRAMS_COUNT` to desired size.
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- Uncomment `create_test_file(TEST_DATA_FILE)` line in main.py
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- Run main.py
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You can comment back this line after json test file is created.
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### Run benchmark
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```
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python main.py
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```
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## Results
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Test file: json, 162MB
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```
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*** Running PydanticBenchmark
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Finished in 10.733s
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*** Running AttrsBenchmark
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Finished in 3.271s
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*** Running MsgSpecBenchmark
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Finished in 1.685s
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```
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```
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██████╗ ██╗ ██╗██████╗ █████╗ ███╗ ██╗████████╗██╗ ██████╗
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██╔══██╗╚██╗ ██╔╝██╔══██╗██╔══██╗████╗ ██║╚══██╔══╝██║██╔════╝
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██████╔╝ ╚████╔╝ ██║ ██║███████║██╔██╗ ██║ ██║ ██║██║
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██╔═══╝ ╚██╔╝ ██║ ██║██╔══██║██║╚██╗██║ ██║ ██║██║
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██║ ██║ ██████╔╝██║ ██║██║ ╚████║ ██║ ██║╚██████╗
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╚═╝ ╚═╝ ╚═════╝ ╚═╝ ╚═╝╚═╝ ╚═══╝ ╚═╝ ╚═╝ ╚═════╝
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╚██╗ ██╔╝██╔═══██╗██║ ██║ ██╔════╝██║ ██║██╔════╝██║ ██╔╝ ██╔══██╗██╔══██╗██║ ██║ ██╔════╝
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╚████╔╝ ██║ ██║██║ ██║ ███████╗██║ ██║██║ █████╔╝ ██████╔╝███████║██║ ██║ ███████╗
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╚██╔╝ ██║ ██║██║ ██║ ╚════██║██║ ██║██║ ██╔═██╗ ██╔══██╗██╔══██║██║ ██║ ╚════██║
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██║ ╚██████╔╝╚██████╔╝ ███████║╚██████╔╝╚██████╗██║ ██╗ ██████╔╝██║ ██║███████╗███████╗███████║
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╚═╝ ╚═════╝ ╚═════╝ ╚══════╝ ╚═════╝ ╚═════╝╚═╝ ╚═╝ ╚═════╝ ╚═╝ ╚═╝╚══════╝╚══════╝╚══════╝
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██████╗ ██╗ ██████╗ ████████╗██╗███╗ ███╗███████╗
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██╔══██╗██║██╔════╝ ╚══██╔══╝██║████╗ ████║██╔════╝
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██████╔╝██║██║ ███╗ ██║ ██║██╔████╔██║█████╗
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██╔══██╗██║██║ ██║ ██║ ██║██║╚██╔╝██║██╔══╝
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██████╔╝██║╚██████╔╝ ██║ ██║██║ ╚═╝ ██║███████╗
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╚═════╝ ╚═╝ ╚═════╝ ╚═╝ ╚═╝╚═╝ ╚═╝╚══════╝
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```
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