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>
28 lines
705 B
Python
28 lines
705 B
Python
import random
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import string
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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", [10, 20, 40])
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async def test_updating_models_in_bulk(
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aio_benchmark, num_models: int, authors_in_db: List[Author]
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):
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starting_first_name = authors_in_db[0].name
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@aio_benchmark
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async def update(authors: List[Author]):
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await Author.objects.bulk_update(authors)
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for author in authors_in_db:
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author.name = "".join(random.sample(string.ascii_letters, 5))
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update(authors_in_db)
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author = await Author.objects.get(id=authors_in_db[0].id)
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assert author.name != starting_first_name
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