(cls, doc_ids, doc_type, domain, config_ids)
Ignores the locking in update_record

        Should only be used if you know the table is not otherwise being used,
        and the doc ids you're supplying are not currently being used in another
        asynchronous table.

        For example the first build of a table, or any complete rebuilds.

        If after reading the above and you're still wondering whether it's safe
        to use, don't.
Ignores the locking in update_record
Ignores the locking in update_record
def bulk_creation(cls, doc_ids, doc_type, domain, config_ids):
        """Ignores the locking in update_record

        Should only be used if you know the table is not otherwise being used,
        and the doc ids you're supplying are not currently being used in another
        asynchronous table.

        For example the first build of a table, or any complete rebuilds.

        If after reading the above and you're still wondering whether it's safe
        to use, don't.
        """

        AsyncIndicator.objects.bulk_create([
            AsyncIndicator(doc_id=doc_id, doc_type=doc_type, domain=domain, indicator_config_ids=config_ids)
            for doc_id in doc_ids
        ])
def bulk_creation ( cls , doc_ids , doc_type , domain , config_ids ) : AsyncIndicator . objects . bulk_create ( [ AsyncIndicator ( doc_id = doc_id , doc_type = doc_type , domain = domain , indicator_config_ids = config_ids ) for doc_id in doc_ids ] )