Django将大型数据集插入模型-如何延迟提交？

from django.db import models

class Person(models.Model):
    first_name = models.CharField(max_length=30)
    last_name = models.CharField(max_length=30)

import csv
from django.core.paginator import Paginator
from .models import Person

def read_large_csv(file_path):
    with open(file_path, 'r') as csvfile:
        reader = csv.DictReader(csvfile)
        for row in reader:
            yield row

data_iterator = read_large_csv('large_file.csv')

batch_size = 1000  # 自定义批处理大小
for i, data_batch in enumerate(Paginator(data_iterator, batch_size)):
    persons = []
    for data in data_batch.object_list:
        person = Person(first_name=data['first_name'], last_name=data['last_name'])
        persons.append(person)

    Person.objects.bulk_create(persons)
    print(f'Batch {i + 1} inserted.')