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>
22 lines
604 B
Python
22 lines
604 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_iterate(aio_benchmark, num_models: int, authors_in_db: List[Author]):
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@aio_benchmark
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async def iterate_over_all(authors: List[Author]):
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authors = []
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async for author in Author.objects.iterate():
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authors.append(author)
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return authors
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authors = iterate_over_all(authors_in_db)
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for idx, author in enumerate(authors_in_db):
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assert authors[idx].id == author.id
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