Let's say I have the following Django models:
class Toolbox(models.Model):
class Meta:
constraints = [
models.UniqueConstraint(
fields=["name", "version"],
name="%(app_label)s_%(class)s_unique_name_version",
)
]
name = models.CharField(max_length=255)
version = models.PositiveIntegerField()
tools = models.ManyToManyField("Tool", related_name="toolboxes")
def __str__(self) -> str:
return f"{self.name}"
class Tool(models.Model):
name = models.CharField(max_length=255)
def __str__(self) -> str:
return f"{self.name}"
I want to write a query that fetches all Tools and returns them sorted by their latest toolbox's name. I know I can achieve this using the following code:
tools = Tool.objects.all()
for tool in tools:
tool.latest_toolbox = tool.toolboxes.order_by("-version").first()
tools = sorted(tools, key=lambda x: x.latest_toolbox.name)
Here's a unit test written in pytest-django to prove this works:
from pytest_django.asserts import assertQuerysetEqual
def test_sort_tools_by_latest_toolbox_name():
tool1 = Tool.objects.create(name="Tool 1")
tool2 = Tool.objects.create(name="Tool 2")
toolbox1_v1 = Toolbox.objects.create(name="A", version=1)
toolbox1_v1.tools.add(tool1)
toolbox1_v2 = Toolbox.objects.create(name="Z", version=2)
toolbox1_v2.tools.add(tool1)
toolbox2_v1 = Toolbox.objects.create(name="B", version=1)
toolbox2_v1.tools.add(tool2)
tools = Tool.objects.all()
for tool in tools:
tool.latest_toolbox = tool.toolboxes.order_by("-version").first()
tools = sorted(tools, key=lambda x: x.latest_toolbox.name)
assertQuerysetEqual(tools, [tool2, tool1])
However, the Tool table has thousands of records and this is taking minutes to execute. Is there a faster query I can write?
I've tried the following but it's returning duplicates and isn't sorting the tools correctly:
Tool.objects.order_by("toolboxes__name")
# <QuerySet [<Tool: Tool 1>, <Tool: Tool 2>, <Tool: Tool 1>]>