Django Rest Framework,数据库查询优化

时间:2018-05-14 07:12:15

标签: django database optimization django-rest-framework

我是使用ORM执行数据库调用的新手,我找不到优化代码/查询的好方法。

我有Productss可以在ProductGroups中。产品可以有0到n的价格。价格由其ActorLocation及其值定义。 我想显示ProductGroup中所有产品的最小和最大价格。

我编写的代码正在运行但由于数据库访问量极其缓慢。任何有助于朝着良好方向发展的帮助将不胜感激:)

模特:

class ProductGroup(OwnedClass):
    name = models.CharField(max_length=200, blank=False)

class Product(models.Model):
    name = models.CharField(max_length=200, blank=True)
    internal_code = models.CharField(max_length=200, blank=True)
    description = models.CharField(max_length=1000, blank=True)
    product_group = models.ForeignKey(
        ProductGroup, blank=True, null=True, on_delete=models.CASCADE)

class Price(models.Model):
    price_without_taxes = models.FloatField(default=None, null=True)
    location = models.ForeignKey(
        ActorLocation, blank=True, null=True, on_delete=models.CASCADE)
    product = models.ForeignKey(Product, on_delete=models.CASCADE)

class ActorLocation(models.Model):
    name = models.CharField(max_length=200, blank=False, null=False)

这是我的函数,用于生成我发送给ProductGroupSerializer的上下文:

def get_context(product_groups):
    locations = company.actor_locations.all()

    for product_group in product_groups:
        price_list = []
        products = product_group.product_set.all()

        for product in products:
            for location in locations:
                price = Price.objects.filter(product=product, location=location).last()
                    if price:
                        price_list.append(price.price_without_taxes)

        if price_list:
            context = {'lowest_product_price': round(min(price_list), 2), 'highest_product_price': round(max(price_list), 2)}
        else:
            context = {'lowest_product_price': "", 'highest_product_price': ""}

        contexts[product_group.id] = context

    return contexts

1 个答案:

答案 0 :(得分:3)

您可以尝试aggregates-over-a-queryset,例如:

from django.db.models import Max, Min

locations = company.actor_locations.all()
Price.objects.annotate(
    lowest_product_price=Min(price_without_taxes),
    highest_product_price=Max(price_without_taxes)
    ).filter(
    product__product_group__in=product_groups,
    location__in=locations
    ).values(
    'lowest_product_price', 'highest_product_price')