这是我之前发布的问题的扩展，可以在此处找到：Previous Question
现在我还有2个表，这些表也连接到ProfileFan，以跟踪粉丝的活动（ProfileFan）。
Table Fan
-----------------------
| FanId | Name | Info |
-----------------------
| 17111 | Fan1 | Info1|
-----------------------
| 17112 | Fan2 | Info2|
-----------------------
Table ProfileFan m:1 Fan FanId(FK)
-----------------------------------
| Id | LinkedInProfileId | FanId |
-----------------------------------
| 1111 | 1 | 17111 |
---------------------------------
| 1112 | 2 | 17111 |
----------------------------------
| 1113 | 1 | 17112 |
----------------------------------
| 1114 | 2 | 17112 |
----------------------------------
Table LinkedInProfile
--------------------------
| Id | Name | Client |
--------------------------
| 1 | Linked1 | Client1|
--------------------------
| 2 | Linked2 | Client1|
--------------------------
Table FanActivity m:1 ProfileFan via ProfileFanId (FK)
------------------------------------------------
| Id | Created | ProfileFanId | ActivityId |
-------------------------------------------------
| 1 | 2019-01-05 | 17111 | 1 |
-------------------------------------------------
| 2 | 2019-01-05 | 17111 | 2 |
-------------------------------------------------
| 3 | 2019-01-05 | 17112 | 3 |
-------------------------------------------------
| 4 | 2019-01-05 | 17112 | 4 |
-------------------------------------------------
Table Activity Id(PK)
--------------------
| Id | Name |
---------------------
| 1 | ConAccepted |
---------------------
| 2 | Message |
---------------------
| 3 | LikesContent |
----------------------
| 4 | JoinsGroup |
----------------------
Table DeliveryActions m:1 ProfileFan via ProfileFanId (FK)
------------------------------------------------------
| Id | LoggedAt | ProfileFanId | DeliveryActionId |
-------------------------------------------------------
| 1 | 2019-01-05 | 17111 | 1 |
------------------------------------------------------
| 2 | 2019-01-05 | 17111 | 2 |
------------------------------------------------------
| 3 | 2019-01-05 | 17112 | 3 |
------------------------------------------------------
| 4 | 2019-01-05 | 17112 | 4 |
------------------------------------------------------
Table DeliveryAction Id(PK)
------------------------
| Id | Name |
------------------------
| 1 | M1 |
------------------------
| 2 | M2 |
------------------------
| 3 | M3 |
------------------------
| 4 | M4 |
------------------------
查询的输出应如下所示。
-------------------------------------------------------------------------------------------------------------------------------------------------------
| Name | Info | LinkedInProfile1| LinkedInProfile2 | Client |ConAccepted | Message | LikesContent | JoinsGroup | M1 | M2 | M3 | M4 |
---------------------------------------------------------------------------------------------------------------------------------------------------
| Name1 | Info1| Linked1(1111) | Linked2(1112) | Client1 | 2019-01-05 | 2019-01-06 | 2019-01-07 | 2019-01-08 | 2019-01-09 | 2019-01-05 |2019-01-06 | 2019-01-07 |
---------------------------------------------------------------------------------------------------------------------------------------------------
| Name2 | Info2| Linked1(1113) | Linked2(1114) | Client1 |2019-01-05 | 2019-01-06 | 2019-01-07 | 2019-01-08 | 2019-01-09 | 2019-01-05 |2019-01-05 | 2019-01-0 |
---------------------------------------------------------------------------------------------------------------------------------------------------
我需要在查询中为单个风扇插入一行数据，而不是在每行允许插入的风扇中插入多个数据。 到目前为止，根据stackoverflow用户的建议，我已经找到了使用PIVOT和动态查询仅针对LinkedInProfile进行解决方案。
我还在https://rextester.com/live/NYYK67222
上创建了一个模拟我需要使用FanActivities和DeliveryActions表进行适当的联接，到目前为止，在联接之上，每个FAN将数据放在一行中！
因此1个粉丝低于2个LinkedInProfiles->这将创建2个ProfileFansId。所有profileFans都有很多FanActivities和很多DeliveryAction。
我知道我需要在此处使用带有动态列的PIVOT。但这对我来说是新的。
答案 0 :(得分：2)
由于您期望的结果与rexter上的示例数据不同，因此我只修改了FanActivities＆DeliveryActions表中的少量数据。
CREATE TABLE #Fan (FanId INT, Name VARCHAR(100), Info VARCHAR(100));
INSERT INTO #Fan
VALUES (17111, 'Fan1', 'Info1'), (17112, 'Fan2', 'Info2');
CREATE TABLE #LinkedInProfile (Id INT, Name VARCHAR(100), Client VARCHAR(100));
INSERT INTO #LinkedInProfile
VALUES (1, 'Linked1', 'Client1'), (2, 'Linked2', 'Client1');
CREATE TABLE #ProfileFan (Id INT, ProfileId INT, FanId INT);
INSERT INTO #ProfileFan
VALUES (1111, 1, 17111), (1112, 2, 17111), (1113, 1, 17112), (1114, 2, 17112);
CREATE TABLE #Activities (Id INT, Name VARCHAR(100));
INSERT INTO #Activities
VALUES (1, 'ConAccepted'), (2, 'Message'), (3, 'LikesContent'), (4, 'JoinsGroup');
CREATE TABLE #FanActivities (Id INT, Created VARCHAR(100), ProfileFanId INT
, ActivityId INT);
INSERT INTO #FanActivities
VALUES
(1, '2019-01-05', 1111, 1), (1, '2019-01-05', 1111, 2)
, (1, '2019-01-05', 1112, 3), (1, '2019-01-05', 1111, 4)
, (1, '2019-01-05', 1113, 1), (1, '2019-01-05', 1113, 2)
, (1, '2019-01-05', 1114, 3), (1, '2019-01-05', 1113, 4);
CREATE TABLE #DeliveryAction (Id INT, Name VARCHAR(100));
INSERT INTO #DeliveryAction
VALUES (1, 'M1'), (2, 'M2'), (3, 'M3'), (4, 'M4');
CREATE TABLE #DeliveryActions (Id INT, Created VARCHAR(100), ProfileFanId INT
, ActivityId INT);
INSERT INTO #DeliveryActions
VALUES
(1, '2019-01-05', 1111, 1), (1, '2019-01-05', 1111, 2)
, (1, '2019-01-05', 1112, 3), (1, '2019-01-05', 1111, 4)
, (1, '2019-01-05', 1113, 1), (1, '2019-01-05', 1113, 2)
, (1, '2019-01-05', 1114, 3), (1, '2019-01-05', 1113, 4);
您的查询将是
;WITH CTE AS(
SELECT F.FanId,F.Name AS FANNAME,F.Info
,CONCAT(lip.Name,'(',pf.Id,')') AS LINKEDPROFILE
,CONCAT('#LinkedInProfile',pf.ProfileId) as LipId
, LIP.Client
,FACT.Name AS FANACTIVITY, FA.Created FANACTIVITYDATE
,DA.Name AS DELVACTIVITY, DAS.Created DELVACTIVITYDATE
FROM #Fan F
LEFT JOIN #ProfileFan pf ON f.FanId = pf.FanId
LEFT JOIN #LinkedInProfile lip ON pf.ProfileId = lip.Id
LEFT JOIN #FanActivities FA ON PF.Id = FA.ProfileFanId
LEFT JOIN #ActivitieS FACT ON FACT.Id = FA.ActivityId
LEFT JOIN #DeliveryActions DAS ON PF.Id = DAS.ProfileFanId
LEFT JOIN #DeliveryAction DA ON DAS.ActivityId = DA.ID
)
SELECT FANNAME, Info, Client
,[#LinkedInProfile1],[#LinkedInProfile2]
,[ConAccepted],[Message],[LikesContent],[JoinsGroup]
,[M1],[M2],[M3],[M4] FROM (
SELECT FANNAME, Info, Client,KEYS,VALUE
FROM CTE
CROSS APPLY (
VALUES (LipId, LINKEDPROFILE)
, (FANACTIVITY,FANACTIVITYDATE)
,(DELVACTIVITY,DELVACTIVITYDATE)
)AS TAB(KEYS,VALUE)
)AS A
PIVOT
(
MAX(VALUE) FOR KEYS IN ([#LinkedInProfile1],[#LinkedInProfile2]
,[ConAccepted],[Message],[LikesContent],[JoinsGroup]
,[M1],[M2],[M3],[M4])
)PV
我得到的结果
+---------+-------+---------+-------------------+-------------------+-------------+------------+--------------+------------+------------+------------+------------+------------+
| FANNAME | Info | Client | #LinkedInProfile1 | #LinkedInProfile2 | ConAccepted | Message | LikesContent | JoinsGroup | M1 | M2 | M3 | M4 |
+---------+-------+---------+-------------------+-------------------+-------------+------------+--------------+------------+------------+------------+------------+------------+
| Fan1 | Info1 | Client1 | Linked1(1111) | Linked2(1112) | 2019-01-05 | 2019-01-05 | 2019-01-05 | 2019-01-05 | 2019-01-05 | 2019-01-05 | 2019-01-05 | 2019-01-05 |
| Fan2 | Info2 | Client1 | Linked1(1113) | Linked2(1114) | 2019-01-05 | 2019-01-05 | 2019-01-05 | 2019-01-05 | 2019-01-05 | 2019-01-05 | 2019-01-05 | 2019-01-05 |
+---------+-------+---------+-------------------+-------------------+-------------+------------+--------------+------------+------------+------------+------------+------------+
答案 1 :(得分：1)
该帖子中的示例代码与您的rextester示例之间存在一些差异（例如，您帖子中的DeliveryActions.ProfileFanId似乎引用了Fan.FanId，但在rextester示例中，它引用了ProfileFan.Id）。我的答案是根据您的前三个月样本得出的。
我个人的喜好是在不需要的情况下不要执行多个枢轴操作，而是使用交叉表查询...对于我来说，查看和理解要比拥有多个枢轴操作要容易得多。< / p>
您可以在here月份看到它。
import React, { Component } from 'react';
import { Actions } from 'react-native-router-flux';
import NetInfo from "@react-native-community/netinfo";
import { StyleSheet, Text, View, Button } from 'react-native';
import AsyncStorage from "@react-native-community/async-storage";
export default class NetworkStatusProvider extends React.Component {
constructor(props) {
super(props);
this.state = {
status: "Unknown"
}
}
componentDidMount() {
NetInfo.isConnected.addEventListener(
'connectionChange',
isConnected => {
this.setState({ status: isConnected ? "Connected" : "Not connected" });
}
);
}
render() {
return <Text>{this.state.status}</Text>
}
}