Question

我使用flask_sqlalchemy和flask_restless来创建一个API端点来访问PostgreSQL数据库中的数据。如何在flask-restless中构造以下SQL查询？

SELECT AVG("SpeedBand"), "Location"
FROM public.traffic_data
WHERE "RoadName"='ABC ROAD'
GROUP BY "Location"

返回属于＆＃34; ABC ROAD＆＃34;的所有坐标对。和每对坐标上的平均速度：

   avg   | Location
 ------------------------
1)'1.52' | 'X1 Y1 X2 Y2'
2)'1.85' | 'X3 Y3 X4 Y4'
 ------------------------

目前，此查询：

http://127.0.0.1:5000/api/traffic_data?q={"filters":[{"name":"RoadName","op":"==","val":"ABC ROAD"}]}

返回属于＆＃34; ABC ROAD＆＃34;的所有数据的JSON字符串。以及不同时间的所有速度数据：

{
  "num_results": 26, 
  "objects": [
    {
      "DateTime": "2017-09-07T19:25:37.035325", 
      "LinkID": "109002906", 
      "Location": "X1 Y1 X2 Y2", 
      "RoadName": "ABC ROAD", 
      "SpeedBand": 3, 
      "id": 34094
    }, 
    {
      "DateTime": "2017-09-07T19:25:37.035325", 
      "LinkID": "109002907", 
      "Location": "X3 Y3 X4 Y4", 
      "RoadName": "ABC ROAD", 
      "SpeedBand": 1, 
      "id": 38003
    }, 
    {
      "DateTime": "2017-09-13T09:57:07.163900", 
      "LinkID": "109002906", 
      "Location": "X1 Y1 X2 Y2", 
      "RoadName": "ABC ROAD", 
      "SpeedBand": 1, 
      "id": 92874
    }, 
    {
      "DateTime": "2017-09-13T09:57:07.163900", 
      "LinkID": "109002907", 
      "Location": "X3 Y3 X4 Y4", 
      "RoadName": "ABC ROAD", 
      "SpeedBand": 1, 
      "id": 96783
    }, 
    {
      "DateTime": "2017-09-13T09:57:07.163900", 
      "LinkID": "109002906", 
      "Location": "X1 Y1 X2 Y2", 
      "RoadName": "ABC ROAD", 
      "SpeedBand": 1, 
      "id": 114755
    }, 
    {
      "DateTime": "2017-09-13T09:57:07.163900", 
      "LinkID": "109002907", 
      "Location": "X3 Y3 X4 Y4", 
      "RoadName": "ABC ROAD", 
      "SpeedBand": 2, 
      "id": 114756
    }, 
    {
      "DateTime": "2017-09-13T10:08:17.727949", 
      "LinkID": "109002906", 
      "Location": "X1 Y1 X2 Y2", 
      "RoadName": "ABC ROAD", 
      "SpeedBand": 2, 
      "id": 151654
    }, 
    {
      "DateTime": "2017-09-13T10:08:17.727949", 
      "LinkID": "109002907", 
      "Location": "X3 Y3 X4 Y4", 
      "RoadName": "ABC ROAD", 
      "SpeedBand": 2, 
      "id": 155563
    }, 
    {
      "DateTime": "2017-09-13T10:19:39.040191", 
      "LinkID": "109002906", 
      "Location": "X1 Y1 X2 Y2", 
      "RoadName": "ABC ROAD", 
      "SpeedBand": 2, 
      "id": 210434
    }, 
    {
      "DateTime": "2017-09-13T10:19:39.040191", 
      "LinkID": "109002907", 
      "Location": "X3 Y3 X4 Y4", 
      "RoadName": "ABC ROAD", 
      "SpeedBand": 2, 
      "id": 214343
    }, 
    {
      "DateTime": "2017-09-13T10:27:51.307349", 
      "LinkID": "109002906", 
      "Location": "X1 Y1 X2 Y2", 
      "RoadName": "ABC ROAD", 
      "SpeedBand": 2, 
      "id": 269214
    }, 
    {
      "DateTime": "2017-09-13T10:42:36.724985", 
      "LinkID": "109002906", 
      "Location": "X1 Y1 X2 Y2", 
      "RoadName": "ABC ROAD", 
      "SpeedBand": 2, 
      "id": 327994
    }, 
    {
      "DateTime": "2017-09-13T10:42:36.724985", 
      "LinkID": "109002907", 
      "Location": "X3 Y3 X4 Y4", 
      "RoadName": "ABC ROAD", 
      "SpeedBand": 2, 
      "id": 331903
    }, 
    {
      "DateTime": "2017-09-13T10:42:36.724985", 
      "LinkID": "109002906", 
      "Location": "X1 Y1 X2 Y2", 
      "RoadName": "ABC ROAD", 
      "SpeedBand": 1, 
      "id": 349875
    }, 
    {
      "DateTime": "2017-09-13T10:42:36.724985", 
      "LinkID": "109002907", 
      "Location": "X3 Y3 X4 Y4", 
      "RoadName": "ABC ROAD", 
      "SpeedBand": 2, 
      "id": 349876
    },

    . . .


  ], 
  "page": 1, 
  "total_pages": 1
}

Answer 1

对于group by，您需要以下列格式指定feild。通过...分组表单对象列表：

{"field": <fieldname>}

此处fieldname是group by使用的列。

如何构建＆＃34; group_by＆＃34;在查询中的SQL查询 - 不安分？

1 个答案: