首页 \ 问答 \ 在列表中显示mongo中的相应字段(display corresponding fields in mongo in a list)

在列表中显示mongo中的相应字段(display corresponding fields in mongo in a list)

 这是我存储的数据： 
 

{ "_id" : ObjectId("57080a7b01351177a4113f63"), "title" : "Data Scientist", "url" : "https://www.Pinterest.com/jobs/732?t=nu6xow", "timestamp" : "2016-04-08 19:46:03", "company" : "Pinterest", "state" : " CA", "todays_date" : "04/08/2016", "city_name" : "San+Francisco", "location" : "San Francisco, CA", "team" : "T0BT323QS", "search_word" : "Data+scientist"}
{ "_id" : ObjectId("57080a7b01351177a4113f64"), "title" : "Director of Analytics / Data Mining", "url" : "http://www.Pinterest.com/careers-position-data-mining-leader", "timestamp" : "2016-04-08 19:46:03", "company" : "Pinterest", "state" : " CA", "todays_date" : "04/08/2016", "city_name" : "San+Francisco", "location" : "Silicon Valley, CA", "team" : "T0BT323QS", "search_word" : "Data+scientist"}
{ "_id" : ObjectId("57080a7d01351177a4113f65"), "title" : "Senior Real World Data Scientist", "url" : "http://www.Pinterest.com/careers/detail/00443369/Senior-Real-World-Data-Scientist?src=JB-12568", "timestamp" : "2016-04-08 19:46:05", "company" : "Pinterest", "state" : " CA", "todays_date" : "04/08/2016", "city_name" : "San+Francisco", "location" : "South San Francisco, CA", "team" : "T0BT323QS", "search_word" : "Data+scientist"}

 

 这是我的查询： 
 

db.Books.aggregate([{$match:{"timestamp":{
       $gte: "2016-04-08 19:46:03", $lt: "2016-04-08 19:46:06"}}}
     ,{ "$group": {
        "_id": "$company",
        "count": { "$sum": 1 },
        "urls": {
            "$addToSet": "$url"
        }
    }},
    { "$sort": { "count": -1 } },
    { "$limit": 10 },
    { "$project": {
        "count": 1,
        "urls": { "$slice": ["$urls",0, 3] }
    }}
])

 

 这是输出： 
 

{ 
    "_id" : "Pinterest", 
    "urls" : [ 
        "https://www.Pinterest.com/jobs/732?t=nu6xow",
        "http://www.Pinterest.com/careers-position-data-mining-leader",
        "http://www.Pinterest.com/careers/detail/00443369/Senior-Real-World-Data-Scientist?src=JB-12568" 
    ] 
}

 

 但是，与“url”一起，我希望它显示相应的“标题”和“位置”字段。 像这样的东西： 
 

{ 
    "_id" : "Pinterest", 
    "urls" : [ 
        [
            "https://www.Pinterest.com/jobs/732?t=nu6xow",
            "Data Scientist","San Francisco, CA"
        ],[
            "http://www.Pinterest.com/careers-position-data-mining-leader",
            "Director of Analytics / Data Mining","Silicon Valley, CA"
        ],[
            "http://www.Pinterest.com/careers/detail/00443369/Senior-Real-World-Data-Scientist?src=JB-12568",
            "Senior Real World Data Scientist",
            "South San Francisco, CA"
        ]
]}


This is my stored data:
 

{ "_id" : ObjectId("57080a7b01351177a4113f63"), "title" : "Data Scientist", "url" : "https://www.Pinterest.com/jobs/732?t=nu6xow", "timestamp" : "2016-04-08 19:46:03", "company" : "Pinterest", "state" : " CA", "todays_date" : "04/08/2016", "city_name" : "San+Francisco", "location" : "San Francisco, CA", "team" : "T0BT323QS", "search_word" : "Data+scientist"}
{ "_id" : ObjectId("57080a7b01351177a4113f64"), "title" : "Director of Analytics / Data Mining", "url" : "http://www.Pinterest.com/careers-position-data-mining-leader", "timestamp" : "2016-04-08 19:46:03", "company" : "Pinterest", "state" : " CA", "todays_date" : "04/08/2016", "city_name" : "San+Francisco", "location" : "Silicon Valley, CA", "team" : "T0BT323QS", "search_word" : "Data+scientist"}
{ "_id" : ObjectId("57080a7d01351177a4113f65"), "title" : "Senior Real World Data Scientist", "url" : "http://www.Pinterest.com/careers/detail/00443369/Senior-Real-World-Data-Scientist?src=JB-12568", "timestamp" : "2016-04-08 19:46:05", "company" : "Pinterest", "state" : " CA", "todays_date" : "04/08/2016", "city_name" : "San+Francisco", "location" : "South San Francisco, CA", "team" : "T0BT323QS", "search_word" : "Data+scientist"}

 

This is my query:
 

db.Books.aggregate([{$match:{"timestamp":{
       $gte: "2016-04-08 19:46:03", $lt: "2016-04-08 19:46:06"}}}
     ,{ "$group": {
        "_id": "$company",
        "count": { "$sum": 1 },
        "urls": {
            "$addToSet": "$url"
        }
    }},
    { "$sort": { "count": -1 } },
    { "$limit": 10 },
    { "$project": {
        "count": 1,
        "urls": { "$slice": ["$urls",0, 3] }
    }}
])

 

This is the output:
 

{ 
    "_id" : "Pinterest", 
    "urls" : [ 
        "https://www.Pinterest.com/jobs/732?t=nu6xow",
        "http://www.Pinterest.com/careers-position-data-mining-leader",
        "http://www.Pinterest.com/careers/detail/00443369/Senior-Real-World-Data-Scientist?src=JB-12568" 
    ] 
}

 

However, alongwith "url" I want it to display corresponding "title" and "location" field. Something like this:
 

{ 
    "_id" : "Pinterest", 
    "urls" : [ 
        [
            "https://www.Pinterest.com/jobs/732?t=nu6xow",
            "Data Scientist","San Francisco, CA"
        ],[
            "http://www.Pinterest.com/careers-position-data-mining-leader",
            "Director of Analytics / Data Mining","Silicon Valley, CA"
        ],[
            "http://www.Pinterest.com/careers/detail/00443369/Senior-Real-World-Data-Scientist?src=JB-12568",
            "Senior Real World Data Scientist",
            "South San Francisco, CA"
        ]
]}


原文：https://stackoverflow.com/questions/36753436
更新时间：2023-03-22 18:03

最满意答案

 我不确定你是否可以，但我认为你可能不需要。 您已经拥有以下工具： 
 

     
 
  •  tf.contrib.framework.is_tensor将为tf.contrib.framework.is_tensor返回True 
    •  
 
  •  tf.executing_eagerly返回True如果你是，那么急切地执行。 
    •  

 

 我相信他们应该覆盖99％的需求 - 如果漏掉了这个百分比，我会很好奇听到你的问题。 

I am not sure if you can, but I think you probably don't need to. You already have the following tools:
 

     
 
  • tf.contrib.framework.is_tensor that will return True for an EagerTensor
    •  
 
  • tf.executing_eagerly that returns True if you are, well, executing eagerly.
    •  

 

I believe they should cover 99% of your needs -- and I would be curious to hear about your problem if it falls in that percentage left out.

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