Google Map - 距离矩阵API - 结果顺序

关于Google Map - 距离矩阵API。结果是否会保证在同一个订单中有要求？如果我要求API获取从一个起始点到多个目标点的距离，结果排序是否能保证与请求的顺序相匹配？Google Map - 距离矩阵API - 结果顺序

我需要将我的业务对象映射到API调用的结果，我找不到硬映射他们。只有订单缝适合。

感谢您的输入。

雨果

2017-10-16 Hugo

距离矩阵API的Web服务返回结果作为rows阵列，其中每一行项目对应于一个来源从origins参数在请求和所述顺序被保存在原始请求。每个行项目包含elements数组，其中每个元素对应于请求中参数destinations中的一个目标，并且顺序也被保留。

你可以看看官方文档在距离矩阵API响应结构进行了说明：

https://developers.google.com/maps/documentation/distance-matrix/intro#DistanceMatrixResponses

希望这有助于！

来源

2017-10-18 12:02:27 xomena

1）结果如果是JSON响应，它将采用相同的格式。实施例：a.Single响应：

{ 
    "destination_addresses": [ 
     "Karnataka, India" 
    ], 
    "origin_addresses": [ 
     "Delhi, India" 
    ], 
    "rows": [ 
     { 
      "elements": [ 
       { 
        "distance": { 
         "text": "1,942 km", 
         "value": 1941907 
        }, 
        "duration": { 
         "text": "1 day 9 hours", 
         "value": 120420 
        }, 
        "status": "OK" 
       } 
      ] 
     } 
    ], 
    "status": "OK" 
}

湾多重响应：

{ 
    "destination_addresses": [ 
    "67-89 Pacific St, Brooklyn, NY 11201, USA", 
    "67-89 Pacific St, Brooklyn, NY 11201, USA", 
    "67-89 Pacific St, Brooklyn, NY 11201, USA", 
    "67-89 Pacific St, Brooklyn, NY 11201, USA", 
    "67-89 Pacific St, Brooklyn, NY 11201, USA", 
    "67-89 Pacific St, Brooklyn, NY 11201, USA", 
    "557-599 Dr Wesley McDonald Ave, Brooklyn, NY 11203, USA", 
    "66-0-66-26 103rd St, Rego Park, NY 11374, USA", 
    "1000 N Village Ave, Rockville Centre, NY 11570, USA", 
    "300-448 Beach 19th St, Far Rockaway, NY 11691, USA", 
    "557-599 Dr Wesley McDonald Ave, Brooklyn, NY 11203, USA", 
    "66-0-66-26 103rd St, Rego Park, NY 11374, USA", 
    "1000 N Village Ave, Rockville Centre, NY 11570, USA", 
    "300-448 Beach 19th St, Far Rockaway, NY 11691, USA" 
], 
"origin_addresses": [ 
    "566 Vermont St, Brooklyn, NY 11207, USA" 
], 
"rows": [ 
    { 
     "elements": [ 
      { 
       "distance": { 
        "text": "6.5 mi", 
        "value": 10423 
       }, 
       "duration": { 
        "text": "35 mins", 
        "value": 2096 
       }, 
       "status": "OK" 
      }, 
      { 
       "distance": { 
        "text": "6.5 mi", 
        "value": 10423 
       }, 
       "duration": { 
        "text": "35 mins", 
        "value": 2096 
       }, 
       "status": "OK" 
      }, 
      { 
       "distance": { 
        "text": "6.5 mi", 
        "value": 10423 
       }, 
       "duration": { 
        "text": "35 mins", 
        "value": 2096 
       }, 
       "status": "OK" 
      }, 
      { 
       "distance": { 
        "text": "6.5 mi", 
        "value": 10423 
       }, 
       "duration": { 
        "text": "35 mins", 
        "value": 2096 
       }, 
       "status": "OK" 
      }, 
      { 
       "distance": { 
        "text": "6.5 mi", 
        "value": 10423 
       }, 
       "duration": { 
        "text": "35 mins", 
        "value": 2096 
       }, 
       "status": "OK" 
      }, 
      { 
       "distance": { 
        "text": "6.5 mi", 
        "value": 10423 
       }, 
       "duration": { 
        "text": "35 mins", 
        "value": 2096 
       }, 
       "status": "OK" 
      }, 
      { 
       "distance": { 
        "text": "2.9 mi", 
        "value": 4662 
       }, 
       "duration": { 
        "text": "18 mins", 
        "value": 1086 
       }, 
       "status": "OK" 
      }, 
      { 
       "distance": { 
        "text": "8.5 mi", 
        "value": 13738 
       }, 
       "duration": { 
        "text": "23 mins", 
        "value": 1367 
       }, 
       "status": "OK" 
      }, 
      { 
       "distance": { 
        "text": "15.9 mi", 
        "value": 25544 
       }, 
       "duration": { 
        "text": "29 mins", 
        "value": 1755 
       }, 
       "status": "OK" 
      }, 
      { 
       "distance": { 
        "text": "13.2 mi", 
        "value": 21296 
       }, 
       "duration": { 
        "text": "34 mins", 
        "value": 2058 
       }, 
       "status": "OK" 
      }, 
      { 
       "distance": { 
        "text": "2.9 mi", 
        "value": 4662 
       }, 
       "duration": { 
        "text": "18 mins", 
        "value": 1086 
       }, 
       "status": "OK" 
      }, 
      { 
       "distance": { 
        "text": "8.5 mi", 
        "value": 13738 
       }, 
       "duration": { 
        "text": "23 mins", 
        "value": 1367 
       }, 
       "status": "OK" 
      }, 
      { 
       "distance": { 
        "text": "15.9 mi", 
        "value": 25544 
       }, 
       "duration": { 
        "text": "29 mins", 
        "value": 1755 
       }, 
       "status": "OK" 
      }, 
      { 
       "distance": { 
        "text": "13.2 mi", 
        "value": 21296 
       }, 
       "duration": { 
        "text": "34 mins", 
        "value": 2058 
       }, 
       "status": "OK" 
      } 
     ] 
    } 
], 
"status": "OK" 
}

2）我认为上面的例子应该照顾第二个问题。

3）同.NET对象的结果JSON可以容易地mapped.Here在下面映射类

public class Response 
    { 
     public string Status { get; set; } 

     [JsonProperty(PropertyName = "destination_addresses")] 
     public string[] DestinationAddresses { get; set; } 

     [JsonProperty(PropertyName = "origin_addresses")] 
     public string[] OriginAddresses { get; set; } 

     public Row[] Rows { get; set; } 

     public class Data 
     { 
      public int Value { get; set; } 
      public string Text { get; set; } 
     } 

     public class Element 
     { 
      public string Status { get; set; } 
      public Data Duration { get; set; } 
      public Data Distance { get; set; } 
     } 

     public class Row 
     { 
      public Element[] Elements { get; set; } 
     } 
    }

希望这有助于:)

来源

2017-10-18 12:11:45 user3530857

Google Map - 距离矩阵API - 结果顺序

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