#33636 , New Feature for bulk create/update

[netzkr]

#33636 , New Feature for bulk create/update

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

`

    class BulkyModel(models.Model, ModelBulkProcessMixin):
        id = models.BigAutoField(primary_key=True)
        name = models.CharField(max_length=30, null=False)

    names = [f"name-{num}" for num in range(100_100_000)]

    # Case : Raw bulk_create
    objs = [BulkyModel(name=name) for name in names]
    BulkyModel.objects.bulk_create(
        objs
    )  # We should maintain big array size and this leades to OOM error

    # Case : Chunked bulk_create
    objs = list()
    for name in names:
        obj = BulkyModel(name=name)
        objs.append(obj)
        if len(objs) > 10_1000:
            BulkyModel.objects.bulk_create(objs)
            objs.clear()

    if len(objs) > 0:
        BulkyModel.objects.bulk_create(objs)
        objs.clear()

    # Case : With ModelBulkProcessMixin
    with BulkyModel.gen_bulk_create(batch_size=10_000) as bulk:
        for name in names:
            bulk.add(BulkyModel(name=name))`

[timgraham]

Closing per ticket.