2013-04-23 63 views
0

我有一个集合,是充满了这样的文件:MongoHQ REST API日期查询

{ 
    _id: ObjectId("51715ade030112703e4c1fd3"), 
    gas_price: 78, 
    elec_usage: 110, 
    elec_price: 88, 
    gas_usage: 146, 
    user: "test_user", 
    timestamp: ISODate("2013-04-19T15:55:26.813Z") 
} 

我想查询他们为“时间戳是今天”。我查询JSON看起来是这样的:

{"timestamp" : { $gte : new Date('2013-4-23')}} 

如果我手动运行此查询它的工作原理:

find({"timestamp" : { $gte : new Date('2013-4-23')}}).limit(100) 

[{ _id: ObjectId("51763f708b26fe92e77d7898"), gas_price: 98, elec_usage: 146, elec_price: 82, gas_usage: 120, user: "test_user", timestamp: ISODate("2013-04-23T08:59:44.587Z") } 
{ _id: ObjectId("517646798b26fe92e77d7899"), gas_price: 76, elec_usage: 84, elec_price: 91, gas_usage: 117, user: "test_user", timestamp: ISODate("2013-04-23T09:29:45.693Z") } 
{ _id: ObjectId("51764d858b26fe92e77d789a"), gas_price: 90, elec_usage: 69, elec_price: 87, gas_usage: 30, user: "test_user", timestamp: ISODate("2013-04-23T09:59:49.702Z") } 
{ _id: ObjectId("517663058b26fe9629162cfe"), gas_price: 100, elec_usage: 38, elec_price: 80, gas_usage: 68, user: "test_user", timestamp: ISODate("2013-04-23T11:31:33.800Z") } 
{ _id: ObjectId("517663868b26fe9637611ca4"), gas_price: 95, elec_usage: 147, elec_price: 93, gas_usage: 117, user: "test_user", timestamp: ISODate("2013-04-23T11:33:42.693Z") }] 

,但如果我在一个网址查询:

https://api.mongohq.com/databases/vIHD_Development/collections/hourly_usage/documents?_apikey=xxxxxxxxxxxx&q=%7B%22timestamp%22%20:%20%7B%20$gte%20:%20new%20Date('2013-4-23')%7D%7D 

(其中未编码是“https://api.mongohq.com/databases/vIHD_Development/collections/hourly_usage/documents?_apikey=xxxxxxxxxxxx&q={"reading_time" : { $gte : new Date('2013-4-23')}}”)

我得到一个空数组。我试过不同的编码(这个URL包含一个%24的$)和不同的构造(ISODate而不是日期,不同的日期格式),但似乎没有任何工作。如果我做一个简单的查询{“用户”:“test_user”}我得到的文件后面例如: -

https://api.mongohq.com/databases/vIHD_Development/collections/hourly_usage/documents?_apikey=xxxxxxxxxxxx&q=%7Bgas_price:%20%7B%20$gte:%2070%7D%20%7D 

我最近没有在检索的任何效果更改时间戳字段名称从潜在的冲突戳了。

回答

0

似乎MongoHQ在REST API中执行$ date的日期并未完成。

我解决这个问题的方法是将日期存储为自时代以来的秒数,并对此进行查询。它不仅工作,而且代码更简单。