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AmbitionEng/django-pgbulk（新しいタブで開きます）
主要言語: Python
Native Postgres upsert, update, and copy operations.
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- 最終更新
- 2025/12/01
gem-hunter主要言語: Python
Native Postgres upsert, update, and copy operations.
django-pgbulk provides functions for doing native Postgres bulk upserts (i.e. UPDATE ON CONFLICT), bulk updates, and COPY FROM.
Bulk upserts can distinguish between updated/created rows and ignore unchanged updates.
Bulk updates are true bulk updates, unlike Django's bulk_update which can still suffer from O(N) queries and can create poor locking scenarios.
Bulk copies can significantly speed-up bulk inserts, sometimes by an order of magnitude over Django's bulk_create.
import pgbulk pgbulk.upsert( MyModel, [ MyModel(int_field=1, some_attr="some_val1"), MyModel(int_field=2, some_attr="some_val2"), ], # These are the fields that identify the uniqueness constraint. ["int_field"], # These are the fields that will be updated if the row already # exists. If not provided, all fields will be updated ["some_attr"] )
import pgbulk pgbulk.update( MyModel, [ MyModel(id=1, some_attr='some_val1'), MyModel(id=2, some_attr='some_val2') ], # These are the fields that will be updated. If not provided, # all fields will be updated ['some_attr'] )
import pgbulk pgbulk.copy( MyModel, # Insert these rows using COPY FROM [ MyModel(id=1, some_attr='some_val1'), MyModel(id=2, some_attr='some_val2') ], )
Here are some advanced features at a glance:
pgbulk.upsert can categorize which rows were inserted or updated.pgbulk.upsert and pgbulk.update can ignore updating unchanged fields.pgbulk.upsert and pgbulk.update can use expressions in updates.View the django-pgbulk docs here for more examples.
django-pgbulk is compatible with Python 3.10 - 3.14, Django 4.2 - 6.0, Psycopg 2 - 3, and Postgres 14 - 18.
Install django-pgbulk with:
pip3 install django-pgbulk
For information on setting up django-pgbulk for development and contributing changes, view CONTRIBUTING.md.