django-bulk-load 1.4.3

Bulk load Django models

Django Bulk Load

Load large batches of Django models into the DB using the Postgres COPY command. This library is a more performant alternative to bulk_create and bulk_update in Django.

Note: Currently, this library only supports Postgres. Other databases may be added in the future.

Install

pip install django-bulk-load

Benchmarks

bulk_update_models vs Django's bulk_update vs django-bulk-update

Results

count: 1,000
bulk_update (Django):             0.45329761505126953
bulk_update (django-bulk-update): 0.1036691665649414
bulk_update_models:               0.04524850845336914

count: 10,000
bulk_update (Django):             6.0840747356414795
bulk_update (django-bulk-update): 2.433042049407959
bulk_update_models:               0.10899758338928223

count: 100,000
bulk_update (Django):             647.6648473739624
bulk_update (django-bulk-update): 619.0643970966339
bulk_update_modelsL               0.9625072479248047

count: 1,000,000
bulk_update (Django):             Does not complete
bulk_update (django-bulk-update): Does not complete
bulk_update_models:               14.923949003219604

See this thread for information on Django performance issues. https://groups.google.com/g/django-updates/c/kAn992Fkk24

Code

models = [TestComplexModel(id=i, integer_field=i, string_field=str(i)) for i in range(count)]

def run_bulk_update_django():
  start = time()
  TestComplexModel.objects.bulk_update(models, fields=["integer_field", "string_field"])
  print(time() - start)
  
def run_bulk_update_library():
  start = time()
  TestComplexModel.objects.bulk_update(models, update_fields=["integer_field", "string_field"])
  print(time() - start)
  
def run_bulk_update_models():
  start = time()
  bulk_update_models(models)
  print(time() - start)

bulk_insert_models vs Django's bulk_create

Results

count: 1,000
bulk_create:        0.048630714416503906
bulk_insert_models: 0.03132152557373047

count: 10,000
bulk_create:        0.45952868461608887
bulk_insert_models: 0.1908433437347412

count: 100,000
bulk_create:        4.875206708908081
bulk_insert_models: 1.764514684677124

count: 1,000,000
bulk_create:        59.16990399360657
bulk_insert_models: 18.651455640792847

Code

models = [TestComplexModel(integer_field=i, string_field=str(i)) for i in range(count)]

def run_bulk_create():
  start = time()
  TestComplexModel.objects.bulk_create(models)
  print(time() - start)
  
def run_bulk_insert_models():
  start = time()
  bulk_insert_models(models)
  print(time() - start)

API

Just import and use the functions below. No need to change settings.py

bulk_insert_models()

INSERT a batch of models. It makes use of the Postgres COPY command to improve speed. If a row already exist, the entire insert will fail. See bulk_load.py for descriptions of all parameters.

from django_bulk_load import bulk_insert_models

bulk_insert_models(
    models: Sequence[Model],
    ignore_conflicts: bool = False,
    return_models: bool = False,
)

bulk_upsert_models()

UPSERT a batch of models. It replicates UPSERTing. By default, it matches existing models using the model pk, but you can specify matching on other fields with pk_field_names. See bulk_load.py for descriptions of all parameters.

from django_bulk_load import bulk_upsert_models

bulk_upsert_models(
    models: Sequence[Model],
    pk_field_names: Sequence[str] = None,
    insert_only_field_names: Sequence[str] = None,
    model_changed_field_names: Sequence[str] = None,
    update_if_null_field_names: Sequence[str] = None,
    update_where: Callable[[Sequence[Field], str, str], Composable] = None,
    return_models: bool = False,
)

bulk_update_models()

UPDATE a batch of models. By default, it matches existing models using the model pk, but you can specify matching on other fields with pk_field_names. If the model is not found in the database, it is ignored. See bulk_load.py for descriptions of all parameters.

from django_bulk_load import bulk_update_models

bulk_update_models(
    models: Sequence[Model],
    update_field_names: Sequence[str] = None,
    pk_field_names: Sequence[str] = None,
    model_changed_field_names: Sequence[str] = None,
    update_if_null_field_names: Sequence[str] = None,
    update_where: Callable[[Sequence[Field], str, str], Composable] = None,
    return_models: bool = False,
)

bulk_insert_changed_models()

INSERTs a new record in the database when a model field has changed in any of compare_field_names, with respect to its latest state, where "latest" is defined by ordering the records for a given primary key by sorting in descending order on the column passed in order_field_name. Does not INSERT a new record if the latest record has not changed. See bulk_load.py for descriptions of all parameters.

from django_bulk_load import bulk_insert_changed_models

bulk_insert_changed_models(
    models: Sequence[Model],
    pk_field_names: Sequence[str],
    compare_field_names: Sequence[str],
    order_field_name=None,
    return_models=None,
)

bulk_select_model_dicts()

Select/Get model dictionaries by filter_field_names. It returns dictionaries, not Django models for performance reasons. This is useful when querying a very large set of models or multiple field IN clauses.

from django_bulk_load import bulk_select_model_dicts

bulk_select_model_dicts(
    model_class: Type[Model],
    filter_field_names: Iterable[str],
    select_field_names: Iterable[str],
    filter_data: Iterable[Sequence],
    select_for_update=False,
    skip_filter_transform=False,
)

Contributing

We are not accepting pull requests from anyone outside Cedar employees at this time. All pull requests will be closed.

Commit Syntax

All PRs must be a single commit and follow the following syntax https://github.com/angular/angular/blob/master/CONTRIBUTING.md#-commit-message-format

Testing

You will need Docker installed and run the following command

./test.sh