7c18fa55e7
* Add benchmarking test suite * Improve amortized time of model relation loads with a large number of rows * Improve performance of loading models with many related models * Improve performance of loading models with many related models to O(N)ish * Fix bug where N model creation with shared related model would build in N^2 time * Lower blocking time for queryset results * Add docstrings and streamline hash code Co-authored-by: haydeec1 <Eric.Haydel@jhuapl.edu>
37 lines
867 B
Python
37 lines
867 B
Python
from typing import List
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import pytest
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from benchmarks.conftest import Author
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pytestmark = pytest.mark.asyncio
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@pytest.mark.parametrize("num_models", [250, 500, 1000])
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async def test_deleting_all(
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aio_benchmark, num_models: int, authors_in_db: List[Author]
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):
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@aio_benchmark
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async def delete_all():
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await Author.objects.delete(each=True)
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delete_all()
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num = await Author.objects.count()
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assert num == 0
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@pytest.mark.parametrize("num_models", [10, 20, 40])
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async def test_deleting_individually(
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aio_benchmark, num_models: int, authors_in_db: List[Author]
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):
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@aio_benchmark
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async def delete_one_by_one(authors: List[Author]):
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for author in authors:
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await Author.objects.filter(id=author.id).delete()
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delete_one_by_one(authors_in_db)
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num = await Author.objects.count()
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assert num == 0
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