一般获取查询都会模型.objects.all()但是数据太大就会冗余。所以要优化查询。(直接从redis去获取数据而不是所有的数据库，还要写crontab定时任务定时更新redis的数据)

在settings.py设置以下代码

# 缓存配置
CACHES = {
    "default": {
        "BACKEND": "django_redis.cache.RedisCache",
        "LOCATION": "redis://127.0.0.1:6379",
        "OPTIONS": {
            "CLIENT_CLASS": "django_redis.client.DefaultClient",
            # 修改默认存储的类型，默认为bytes
            "CONNECTION_POOL_KWARGS":{'decode_responses':True}
        }
    }
}

goods/views.py(优化代码)

import json
@api_view(['GET'])
def home(request):
    # TODO: 如何优化查询, 如何设置存储的格式（默认为bytes）, json
    # 如果使用redis缓存数据，类型: hash散列
    # hset key field value
    # hset goods main_wheels MainWheelSerializer(main_wheels, many=True).data
    # hset goods main_navs MainNavSerializer(main_navs, many=True).data
    conn = get_redis_connection()
    redis_main_wheels = conn.hget('goods', 'main_wheels')
    if not redis_main_wheels:
        main_wheels = MainWheel.objects.all()
        new_main_wheels = MainWheelsSerializer(main_wheels, many=True).data
        # 存储结果为json格式数据，json.dumps()
        value_wheels = json.dumps(new_main_wheels)
        conn.hset('goods', 'main_wheels', value_wheels)
    # 存储为字符串类型的结果值，需转换为字典，json.loads()
    old_main_wheels = json.loads(redis_main_wheels)