django-data-shape

A realistically shaped test database from Django models.

Declare the shape of your data -- cardinality, value skew, foreign-key fan-out as a distribution with a long tail, and where related rows physically sit -- then load it by COPY and ANALYZE it, so the query planner makes the same choices it will make in production.

It exists because a plan over ten rows is a lie, and because the loop it replaces is not merely smaller: uniform fan-out makes the planner always right, and generating children parent-by-parent clusters them perfectly, which flatters every index scan. A test database can be wrong in the flattering direction, and usually is.

Install

pip install django-data-shape[postgres]

Use

import datetime

from django_data_shape import Sequential, Shape, Skew, Table, Uniform, build

shape = Shape(
    Table(
        Order,
        rows=1_000_000,
        status=Skew({"complete": 0.98, "pending": 0.015, "cancelled": 0.005}),
        total=Uniform(0, 500, places=2),
        created_at=Sequential(
            datetime.datetime(2020, 1, 1, tzinfo=datetime.timezone.utc),
            datetime.timedelta(seconds=3),
        ),
    ),
    seed=1234,
)

build(shape)

build() generates the rows, loads them with COPY, moves the identity sequence past the keys it assigned, and runs ANALYZE so the planner can see the shape. It raises on any backend that is not PostgreSQL rather than degrading quietly.

Status

Early. This release covers single tables. Foreign-key fan-out as a distribution, physical placement, per-group invariants and template-database reuse are the releases after it; declaring a relation raises today rather than generating ids that point at nothing.

Full documentation: https://artui.github.io/django-data-shape/

License

MIT

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