#33636: BulkProcessMixin on models.Model
-------------------------------------+-------------------------------------
     Reporter:  Myung Eui Yoon       |                    Owner:  Myung Eui
                                     |  Yoon
         Type:  New feature          |                   Status:  assigned
    Component:  Database layer       |                  Version:  4.0
  (models, ORM)                      |
     Severity:  Normal               |               Resolution:
     Keywords:  bulk, model          |             Triage Stage:
                                     |  Unreviewed
    Has patch:  1                    |      Needs documentation:  0
  Needs tests:  0                    |  Patch needs improvement:  0
Easy pickings:  0                    |                    UI/UX:  0
-------------------------------------+-------------------------------------
Changes (by Myung Eui Yoon):

 * has_patch:  0 => 1


Old description:

> {{{
>         """
>         class BulkyModel(models.Model, ModelBulkProcessMixin):
>             id = models.BigAutoField(primary_key=True)
>             name = models.CharField(max_length=10, null=False)
>
>         With ModelBulkProcessMixin , We could minimize memory usage.
>         Without ModelBulkProcessMixin, We shold maintain bulk array size
> up to 100_000
>         or manually maintain arraysize up to batch_size like 10_000
>
>         if len(chunked_list)>10_000:
>             Model.objects.bulk_create(chunked_list)
>
>         and check remain in list again at the end.
>
>         if len(chunked_list)>0:
>             Model.objects.bulk_create(chunked_list)
>         """
>
>         names = [f"name-{num}" for num in range(100_000)]
>
>         with BulkyModel.gen_bulk_create(batch_size=10_000) as bulk:
>             for name in names:
>                 bulk.add(BulkyModel(name=name))
>
>         self.assertEqual(100_000, BulkyModel.objects.all().count())
> }}}

New description:

 {{{
         """
         class BulkyModel(models.Model, ModelBulkProcessMixin):
             id = models.BigAutoField(primary_key=True)
             name = models.CharField(max_length=10, null=False)

         With ModelBulkProcessMixin , We could minimize memory usage.
         Without ModelBulkProcessMixin, We shold maintain bulk array size
 up to 100_000
         or manually maintain arraysize up to batch_size like 10_000

         if len(chunked_list)>10_000:
             Model.objects.bulk_create(chunked_list)

         and check remain in list again at the end.

         if len(chunked_list)>0:
             Model.objects.bulk_create(chunked_list)
         """

         names = [f"name-{num}" for num in range(100_000)]

         with BulkyModel.gen_bulk_create(batch_size=10_000) as bulk:
             for name in names:
                 bulk.add(BulkyModel(name=name))

         self.assertEqual(100_000, BulkyModel.objects.all().count())
 }}}

 https://github.com/django/django/pull/15577

--

Comment:

 Issued Pull Request
 https://github.com/django/django/pull/15577

-- 
Ticket URL: <https://code.djangoproject.com/ticket/33636#comment:2>
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