Add benchmarking test suite and greatly improve performance in a few cases (#948)

* 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>

benchmarks/test_benchmark_iterate.py

@@ -0,0 +1,21 @@
+from typing import List
+
+import pytest
+
+from benchmarks.conftest import Author
+
+pytestmark = pytest.mark.asyncio
+
+
+@pytest.mark.parametrize("num_models", [250, 500, 1000])
+async def test_iterate(aio_benchmark, num_models: int, authors_in_db: List[Author]):
+    @aio_benchmark
+    async def iterate_over_all(authors: List[Author]):
+        authors = []
+        async for author in Author.objects.iterate():
+            authors.append(author)
+        return authors
+
+    authors = iterate_over_all(authors_in_db)
+    for idx, author in enumerate(authors_in_db):
+        assert authors[idx].id == author.id