# Pydantic 2 vs MsgSpec

Libs used for benchmark:

- [pydantic 2.4.2](https://docs.pydantic.dev/latest/)
- [msgspec 0.18.4](https://jcristharif.com/msgspec/index.html)
- [attrs 23.1.0](https://www.attrs.org)

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.

## Usage

### Install virtual environment

```
poetry install
```

### Create test data

- Edit `benchmark/factories.py` and set `COLUMNS_COUNT` and `PLANOGRAMS_COUNT` to desired size.
- Uncomment `create_test_file(TEST_DATA_FILE)` line in main.py
- Run main.py

You can comment back this line after json test file is created.

### Run benchmark

```
python main.py
```

## Results

Test file: json, 162MB

```
*** Running PydanticBenchmark
Finished in 10.733s
*** Running AttrsBenchmark
Finished in 3.271s
*** Running MsgSpecBenchmark
Finished in 1.685s
```

```
██████╗ ██╗   ██╗██████╗  █████╗ ███╗   ██╗████████╗██╗ ██████╗
██╔══██╗╚██╗ ██╔╝██╔══██╗██╔══██╗████╗  ██║╚══██╔══╝██║██╔════╝
██████╔╝ ╚████╔╝ ██║  ██║███████║██╔██╗ ██║   ██║   ██║██║
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╚═╝        ╚═╝   ╚═════╝ ╚═╝  ╚═╝╚═╝  ╚═══╝   ╚═╝   ╚═╝ ╚═════╝

██╗   ██╗ ██████╗ ██╗   ██╗    ███████╗██╗   ██╗ ██████╗██╗  ██╗    ██████╗  █████╗ ██╗     ██╗     ███████╗
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   ╚═╝    ╚═════╝  ╚═════╝     ╚══════╝ ╚═════╝  ╚═════╝╚═╝  ╚═╝    ╚═════╝ ╚═╝  ╚═╝╚══════╝╚══════╝╚══════╝

██████╗ ██╗ ██████╗     ████████╗██╗███╗   ███╗███████╗
██╔══██╗██║██╔════╝     ╚══██╔══╝██║████╗ ████║██╔════╝
██████╔╝██║██║  ███╗       ██║   ██║██╔████╔██║█████╗
██╔══██╗██║██║   ██║       ██║   ██║██║╚██╔╝██║██╔══╝
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╚═════╝ ╚═╝ ╚═════╝        ╚═╝   ╚═╝╚═╝     ╚═╝╚══════╝
```