Settings and view options

# settings.py
DRF_BATCH = {"BATCH_MAX_SIZE": 1000}

DRF_BATCH must be a dictionary (any other type is an ImproperlyConfigured at first use). Every key has a default:

Key	Default	Meaning
BATCH_MAX_SIZE	1000	maximum rows per batch (413 above it)
COLLECT_TIMEOUT	10.0	seconds allowed for collection (504 above it)
BULK_SIZE	1000	rows per bulk statement
EVENT_LOOP	"auto"	"auto": the ASGI server's loop under ASGI, else thread mode; "thread": always thread mode (loops)
THREAD_LOOP	None	thread mode: dotted path to a callable returning a loop your app runs in its own thread; None = the built-in drf-batch-loop thread

Per-view attributes (a None falls back to the setting):

class OrderViewSet(BatchMixin, GenericViewSet):
    batch_serializer_class = OrderSerializer  # falls back to serializer_class
    batch_collector_class = None  # a BatchCollector = full-replacement hook
    batch_max_size = None  # BATCH_MAX_SIZE
    batch_use_bulk = True  # False: per-row create / update / delete()
    batch_bulk_size = None  # BULK_SIZE
    batch_actions = ("create", "update", "destroy")  # + "replace" for PUT; others → 405
    batch_conflict_status = 409
    batch_retry_policy = None  # FixedRetryPolicy(...) to retry the write
    batch_lock_targets = True  # select_for_update() targets during the write
    batch_concurrent_collection = True  # False: fetch one by one, sync inline
    batch_response = "count"  # or "data"

A replacement collector's collect_timeout overrides COLLECT_TIMEOUT for that collector.

# settings.py: every key, with its default
DRF_BATCH = {
    "BATCH_MAX_SIZE": 1000,
    "BULK_SIZE": 1000,
    "COLLECT_TIMEOUT": 10.0,
    "EVENT_LOOP": "auto",
    "THREAD_LOOP": None,  # e.g. "myapp.runtime.get_io_loop"
}