由于与解析相比,Firebase的使用量较少,因此对于像阿里巴巴,Olx,Quicker这样的应用使用Firebase是否合理?
如何抓取我周围100公里的广告?基于存储在表中的lat长数据。
以上用例的firebase效率如何?
如何在Firebase中创建复杂的数据结构和关系?
像这样的结构 [
{
"salelead_id": 1,
"salelead_user_id": 2,
"salelead_post_date": "12-2-1500",
"salelead_offer_start": "12-2-1500",
"salelead_offer_end": "12-2-1500",
"salelead_loc_lat": 12,
"salelead_loc_long": 12,
"salelead_details": {
"sid": 0, <----- primery key of sale table
"user_id": 0, <----- User primerykey from user table
"title": "Mobile",
"desc": "good quality",
"quantity": "1000",
"price": "1000/piece",
"post_date": "12-06-2015",
"offer_start": "12-06-2015",
"offer_end": "12-07-2015",
"loc_lat": 12.34,
"loc_long": 23.43,
"photo_url": [
{
"url": "https://s3.amazonaws.com"
},
{
"url": "https://s3.amazonaws.com"
},
{
"url": "https://s3.amazonaws.com"
}
],
"video_url": [
{
"url": "https://s3.amazonaws.com"
},
{
"url": "https://s3.amazonaws.com"
},
{
"url": "https://s3.amazonaws.com"
}
]
}
}
]