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>
66 lines
1.7 KiB
Python
66 lines
1.7 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_saving_models_individually(aio_benchmark, num_models: int):
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@aio_benchmark
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async def make_and_insert(num_models: int):
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authors = [
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Author(
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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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for i in range(0, num_models)
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]
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assert len(authors) == num_models
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ids = []
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for author in authors:
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a = await author.save()
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ids.append(a)
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return ids
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ids = make_and_insert(num_models)
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for id in ids:
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assert id is not None
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@pytest.mark.parametrize("num_models", [10, 20, 40])
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async def test_saving_models_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 making_and_inserting_related_models_one_by_one(
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author: Author, publisher: Publisher, num_models: int
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):
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books = [
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Book(
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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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for i in range(0, num_models)
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]
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ids = []
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for book in books:
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await book.save()
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ids.append(book.id)
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return ids
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ids = making_and_inserting_related_models_one_by_one(
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author=author, publisher=publisher, num_models=num_models
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)
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for id in ids:
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assert id is not None
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