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>
92 lines
2.8 KiB
Python
92 lines
2.8 KiB
Python
import random
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import string
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import pytest
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from benchmarks.conftest import Author, Book, Publisher
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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_creating_models_individually(aio_benchmark, num_models: int):
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@aio_benchmark
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async def create(num_models: int):
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authors = []
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for idx in range(0, num_models):
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author = await Author.objects.create(
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name="".join(random.sample(string.ascii_letters, 5)),
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score=random.random() * 100,
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)
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authors.append(author)
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return authors
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authors = create(num_models)
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for author in authors:
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assert author.id is not None
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@pytest.mark.parametrize("num_models", [10, 20, 40])
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async def test_creating_individually_with_related_models(
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aio_benchmark, num_models: int, author: Author, publisher: Publisher
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):
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@aio_benchmark
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async def create_with_related_models(
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author: Author, publisher: Publisher, num_models: int
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):
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books = []
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for idx in range(0, num_models):
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book = await Book.objects.create(
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author=author,
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publisher=publisher,
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title="".join(random.sample(string.ascii_letters, 5)),
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year=random.randint(0, 2000),
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)
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books.append(book)
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return books
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books = create_with_related_models(
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author=author, publisher=publisher, num_models=num_models
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)
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for book in books:
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assert book.id is not None
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@pytest.mark.parametrize("num_models", [10, 20, 40])
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async def test_get_or_create_when_create(aio_benchmark, num_models: int):
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@aio_benchmark
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async def get_or_create(num_models: int):
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authors = []
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for idx in range(0, num_models):
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author, created = await Author.objects.get_or_create(
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name="".join(random.sample(string.ascii_letters, 5)),
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score=random.random() * 100,
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)
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assert created
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authors.append(author)
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return authors
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authors = get_or_create(num_models)
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for author in authors:
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assert author.id is not None
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@pytest.mark.parametrize("num_models", [10, 20, 40])
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async def test_update_or_create_when_create(aio_benchmark, num_models: int):
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@aio_benchmark
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async def update_or_create(num_models: int):
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authors = []
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for idx in range(0, num_models):
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author = await Author.objects.update_or_create(
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name="".join(random.sample(string.ascii_letters, 5)),
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score=random.random() * 100,
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)
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authors.append(author)
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return authors
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authors = update_or_create(num_models)
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for author in authors:
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assert author.id is not None
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