使用Stream Analytics从Application Insights将自定义事件维度导出到SQL

时间:2015-07-20 23:48:27

标签: json azure azure-stream-analytics azure-application-insights

我正在按照示例演练Export to SQL from Application Insights using Stream Analytics进行操作。我试图导出自定义事件维度(下面的JSON示例中的context.custom.dimensions),它将作为嵌套的JSON数组添加到数据文件中。如何在context.custom.dimensions中展平维度数组以导出到SQL?

... JSON

{
  "event": [
    {
      "name": "50_DistanceSelect",
      "count": 1
    }
  ],
  "internal": {
    "data": {
      "id": "aad2627b-60c5-48e8-aa35-197cae30a0cf",
      "documentVersion": "1.5"
    }
  },
  "context": {
    "device": {
      "os": "Windows",
      "osVersion": "Windows 8.1",
      "type": "PC",
      "browser": "Chrome",
      "browserVersion": "Chrome 43.0",
      "screenResolution": {
        "value": "1920X1080"
      },
      "locale": "unknown",
      "id": "browser",
      "userAgent": "Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/43.0.2357.134 Safari/537.36"
    },
    "application": {},
    "location": {
      "continent": "North America",
      "country": "United States",
      "point": {
        "lat": 38.0,
        "lon": -97.0
      },
      "clientip": "0.115.6.185",
      "province": "",
      "city": ""
    },
    "data": {
      "isSynthetic": false,
      "eventTime": "2015-07-15T23:43:27.595Z",
      "samplingRate": 0.0
    },
    "operation": {
      "id": "2474EE6F-5F6F-48C3-BA43-51636928075A"
    },
    "user": {
      "anonId": "BA05C4BE-1C42-482F-9836-D79008E78A9D",
      "anonAcquisitionDate": "0001-01-01T00:00:00Z",
      "authAcquisitionDate": "0001-01-01T00:00:00Z",
      "accountAcquisitionDate": "0001-01-01T00:00:00Z"
    },
    "custom": {
      "dimensions": [
        {
          "CategoryAction": "click"
        },
        {
          "SessionId": "73ef454d-fa39-4125-b4d0-44486933533b"
        },
        {
          "WebsiteVersion": "3.0"
        },
        {
          "PageSection": "FilterFind"
        },
        {
          "Category": "EventCategory1"
        },
        {
          "Page": "/page-in-question"
        }
      ],
      "metrics": []
    },
    "session": {
      "id": "062703E5-5E15-491A-AC75-2FE54EF03623",
      "isFirst": false
    }
  }
}

5 个答案:

答案 0 :(得分:6)

稍微更动态的解决方案是设置临时表:

WITH ATable AS (
SELECT
     temp.internal.data.id as ID
    ,dimensions.ArrayValue.CategoryAction as CategoryAction
    ,dimensions.ArrayValue.SessionId as SessionId 
    ,dimensions.ArrayValue.WebsiteVersion as WebsiteVersion 
    ,dimensions.ArrayValue.PageSection as PageSection 
    ,dimensions.ArrayValue.Category as Category 
    ,dimensions.ArrayValue.Page as Page  
FROM [analyticseventinputs] temp 
CROSS APPLY GetElements(temp.[context].[custom].[dimensions]) as dimensions)

然后根据唯一键

进行连接
FROM [analyticseventinputs] Input 
Left JOIN ATable CategoryAction on 
    Input.internal.data.id = CategoryAction.ID AND
    CategoryAction.CategoryAction <> "" AND
     DATEDIFF(day, Input, CategoryAction) BETWEEN 0 AND 5 

相当恼人的一点是对datediff的要求,因为连接旨在组合2个数据流,但在这种情况下,您只加入唯一键。所以我把它设置为5天的大值。与其他解决方案相比,这实际上只能防止自定义参数不符合要求。

答案 1 :(得分:5)

大多数教程在线使用CROSS APPLY或OUTER APPLY,但这不是您要查找的内容,因为它会将每个属性放在不同的行上。为了解决这个问题,请使用以下函数:GetRecordPropertyValue和GetArrayElement。这会将属性展平为一行。

SELECT
    GetRecordPropertyValue(GetArrayElement(MySource.context.custom.dimensions, 0), 'CategoryAction') AS CategoryAction,
    GetRecordPropertyValue(GetArrayElement(MySource.context.custom.dimensions, 1), 'SessionId') AS SessionId,
    GetRecordPropertyValue(GetArrayElement(MySource.context.custom.dimensions, 2), 'WebsiteVersion') AS WebsiteVersion,
    GetRecordPropertyValue(GetArrayElement(MySource.context.custom.dimensions, 3), 'PageSection') AS PageSection,
    GetRecordPropertyValue(GetArrayElement(MySource.context.custom.dimensions, 4), 'Category') AS Category,
    GetRecordPropertyValue(GetArrayElement(MySource.context.custom.dimensions, 5), 'Page') AS Page
INTO
  [outputstream]
FROM
  [inputstream] MySource

答案 2 :(得分:2)

SQL中有哪些架构?你想要SQL中的所有单行吗? 尺寸为列?

今天可能无法做到这一点。但是,7月30日之后,Azure Stream Analytics中将有更多阵列/记录功能。

然后你就能做到这样的事情:

SELECT 
    CASE 
        WHEN GetArrayLength(A.context.custom.dimensions) > 0
            THEN GetRecordPropertyValue(GetArrayElement(A.context.custom.dimensions, 0), 'CategoryAction')
        ELSE ''
        END AS CategoryAction 
    CASE 
        WHEN GetArrayLength(A.context.custom.dimensions) > 1
            THEN GetRecordPropertyValue(GetArrayElement(A.context.custom.dimensions, 1), 'WebsiteVersion')
        ELSE ''
        END AS WebsiteVersion 
    CASE 
        WHEN GetArrayLength(A.context.custom.dimensions) > 2
            THEN GetRecordPropertyValue(GetArrayElement(A.context.custom.dimensions, 2), 'PageSection')
        ELSE ''
        END AS PageSection
FROM input

如果您希望每个维度有单独的行,则可以使用CROSS APPLY运算符。

答案 3 :(得分:0)

Alex Raizman提出的一种非常方便的方法是对您要展平的字段进行一些汇总,并根据剩余的选择列表进行分组,假设

  • 您知道维度中可能存在的对象的集合,
  • 此数组中没有重复的对象,并且
  • 有些东西可以唯一地标识您的初始行(例如id)

    SELECT
      CategoryAction= MIN(CAST(GetRecordPropertyValue(d.arrayvalue, 'CategoryAction') AS
      NVARCHAR(MAX))),
      SessionId= min(CAST(GetRecordPropertyValue(d.arrayvalue, 'SessionId') AS
      NVARCHAR(MAX))),
      WebsiteVersion= MIN(CAST(GetRecordPropertyValue(d.arrayvalue, 'WebsiteVersion') AS
      NVARCHAR(MAX))),
      PageSection= MIN(CAST(GetRecordPropertyValue(d.arrayvalue, 'PageSection') AS
      NVARCHAR(MAX))),
      Category= MIN(CAST(GetRecordPropertyValue(d.arrayvalue, 'Category') AS
      NVARCHAR(MAX))),    
      Page= MIN(CAST(GetRecordPropertyValue(d.arrayvalue, 'Page') AS NVARCHAR(MAX))) 
    INTO  
      [outputstream] 
    FROM [inputstream] MySource 
    CROSS APPLY GetArrayElements(MySource.[context].[custom].[dimensions]) d 
    GROUP BY System.Timestamp, MySource.id
    

我们还将System.Timestamp分组,以创建Stream Analytics期望的一个时间窗口,以执行基于集合的操作,例如计数或聚合。

答案 4 :(得分:0)

尽管这个问题很古老。但这是实现自定义尺寸的单行的方式。随着自定义维度数量的增加,它可能会变得难看。

    SELECT
    A.internal.data.id,        
    eventFlat.ArrayValue.name as eventName,
    A.context.operation.name as operation,
    A.context.data.eventTime,
    a1.company,
    a2.userId,
    a3.feature,        
    A.context.device,    
    A.context.location         
FROM [YourInputAlias] A   
OUTER APPLY GetArrayElements(A.event) eventFlat  
LEFT JOIN (
        SELECT 
        A1.internal.data.id as id,   
        customDimensionsFlat.ArrayValue.company
      FROM [YourInputAlias] A1  
      OUTER APPLY GetArrayElements(A1.context.custom.dimensions) customDimensionsFlat   
      where  customDimensionsFlat.ArrayValue.company IS NOT NULL
      ) a1 ON a.internal.data.id = a1.id AND datediff(day, a, a1) between 0 and 5
LEFT JOIN (
        SELECT 
        A2.internal.data.id as id,   
        customDimensionsFlat.ArrayValue.userid     
      FROM [YourInputAlias] A2  
      OUTER APPLY GetArrayElements(A2.context.custom.dimensions) customDimensionsFlat    
      where  customDimensionsFlat.ArrayValue.userid  IS NOT NULL
      ) a2 ON a.internal.data.id = a2.id AND datediff(day, a, a2) between 0 and 5
LEFT JOIN (
        SELECT 
        A3.internal.data.id as id,   
        customDimensionsFlat.ArrayValue.feature     
      FROM [YourInputAlias] A3
      OUTER APPLY GetArrayElements(A3.context.custom.dimensions) customDimensionsFlat    
      where  customDimensionsFlat.ArrayValue.feature  IS NOT NULL
      ) a3 ON a.internal.data.id = a3.id AND datediff(day, a, a3) between 0 and 5