Chunk large QuerySets into small chunks, and iterate over them without killing your RAM.
Project description
Chunk large QuerySets into small chunks, and iterate over them without killing your RAM.
Tested with all the combinations of:
Python: 2.7, 3.4, 3.5.
Django: 1.8 (LTS), 1.9, 1.10, 1.11.
Also, tested the following:
Python 3.6 + Django 1.11
Python 3.4, 3.5, 3.6 + Django “master”.
Usage
from chunkator import chunkator
for item in chunkator(LargeModel.objects.all(), 200):
do_something(item)This tool is intended to work on Django querysets.
Your model must define a pk field (this is done by default, but sometimes it can be overridden) and this pk has to be unique. django- chunkator has been tested with PostgreSQL and SQLite, using regular PKs and UUIDs as primary keys.
You can also use values():
from chunkator import chunkator
for item in chunkator(LargeModel.objects.values('pk', 'name'), 200):
do_something(item)If you want to manipulate the pages directly, you can use chunkator_page:
from chunkator import chunkator_page
queryset = LargeModel.objects.all().values('pk')
for page in chunkator_page(queryset, 200):
launch_some_task([item['pk'] for item in page])License
MIT License.
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