- 教程概述
- 架构概述
- 视频概述
- 测量完成
- 0 — 快速入门
- 1 - Adobe Experience Platform数据收集和Web SDK扩展
- 2 — 数据摄取
- 3 — 实时客户资料
- 4 — 语音助手 — AmazonAlexa
- 5 - ETL工具
- 6 -Adobe Journey Optimizer:编排
- 7 — 查询服务
- 8 — 数据科学工作区 — 基于热门程度的Recommendations
- 9 — 使用Google标签管理器和Google Analytics摄取数据
- 10 — 智能服务
- 11 — 实时CDP — 构建一个区段并采取行动！
- 12 -Adobe Journey Optimizer:外部数据源和自定义操作
- 13 -Customer Journey Analytics — 在Adobe Experience Platform上使用Analysis Workspace构建功能板
- 14 -Offer decisioning
- 15 - Data Science Workspace — 汽车保险销售倾向
- 16 — 使用BigQuery Source Connector在Adobe Experience Platform中摄取和分析Google Analytics数据
- 17 -Adobe Experience Platform和Microsoft Dynamics 365
- 18 — 区段激活到Microsoft Azure事件中心
- 19 - Adobe Experience Platform和ServiceNow:将服务与营销和销售连接
- 20 — 由Stackchat提供支持的AI驱动聊天应用和实时聊天
- 21 -Adobe Experience Platform数据收集和实时事件转发，与Adobe Experience Platform数据收集结合使用
- 22 — 使用Adobe I/O — 项目Firefly和Adobe Experience Platform构建您自己的实时功能板
- 23 -Adobe Journey Optimizer
- 24 — 将数据从Apache Kafka流式传输到Adobe Experience Platform
7.3查询、查询、查询和客户流失分析
目标
- 为查询分析编写数据
- 编写SQL查询，将在线、呼叫中心和忠诚度数据结合在一起，在Adobe Experience Platform提供
- 了解Adobe定义的函数
上下文
在本练习中，您将编写查询来分析产品视图、产品漏斗、客户流失等。
本章中列出的所有查询都将在PSQL命令行界面中执行。 您应复制(CTRL-c)用SQL指示的语句块，并将它们粘贴(CTRL-v)到PSQL命令行界面中。 查询结果块显示粘贴的SQL语句和关联的查询结果。
7.3.1为查询分析编写基本数据
时间戳
在Adobe Experience Platform捕获的数据有时间戳。 timestamp属性允许您随时间分析数据。
我们每天有多少产品视图?
SQL
select date_format( timestamp , 'yyyy-MM-dd') AS Day,
count(*) AS productViews
from demo_system_event_dataset_for_website_global_v1_1
where --aepTenantId--.demoEnvironment.brandName IN ('Luma Telco', 'Citi Signal')
and eventType = 'commerce.productViews'
group by Day
limit 10;
复制上面的语句，并在PSQL命令行接口中执行它。
查询结果
aepenablementfy21:all=> select date_format( timestamp , 'yyyy-MM-dd') AS Day,
aepenablementfy21:all-> count(*) AS productViews
aepenablementfy21:all-> from demo_system_event_dataset_for_website_global_v1_1
aepenablementfy21:all-> where --aepTenantId--.demoEnvironment.brandName IN ('Luma Telco', 'Citi Signal')
aepenablementfy21:all-> and eventType = 'commerce.productViews'
aepenablementfy21:all-> group by Day
aepenablementfy21:all-> limit 10;
Day | productViews
------------+--------------
2020-07-31 | 2297
(1 row)
查看的5大产品
查看的5大产品有哪些？
SQL
select productListItems.name, count(*)
from demo_system_event_dataset_for_website_global_v1_1
where --aepTenantId--.demoEnvironment.brandName IN ('Luma Telco', 'Citi Signal')
and eventType = 'commerce.productViews'
group by productListItems.name
order by 2 desc
limit 5;
复制上面的语句，并在PSQL命令行接口中执行它。
查询结果
aepenablementfy21:all=> select productListItems.name, count(*)
aepenablementfy21:all-> from demo_system_event_dataset_for_website_global_v1_1
aepenablementfy21:all-> where --aepTenantId--.demoEnvironment.brandName IN ('Luma Telco', 'Citi Signal')
aepenablementfy21:all-> and eventType = 'commerce.productViews'
aepenablementfy21:all-> group by productListItems.name
aepenablementfy21:all-> order by 2 desc
aepenablementfy21:all-> limit 5;
name | count(1)
---------------------------------------+----------
Google Pixel XL 32GB Black Smartphone | 938
SIM Only | 482
Samsung Galaxy S8 | 456
Samsung Galaxy S7 32GB Black | 421
(4 rows)
产品交互漏斗，从查看到购买
SQL
select eventType, count(*)
from demo_system_event_dataset_for_website_global_v1_1
where --aepTenantId--.demoEnvironment.brandName IN ('Luma Telco', 'Citi Signal')
and eventType is not null
and eventType <> ''
group by eventType;
复制上面的语句，并在PSQL命令行接口中执行它。
查询结果
aepenablementfy21:all=> select eventType, count(*)
aepenablementfy21:all-> from demo_system_event_dataset_for_website_global_v1_1
aepenablementfy21:all-> where --aepTenantId--.demoEnvironment.brandName IN ('Luma Telco', 'Citi Signal')
aepenablementfy21:all-> and eventType is not null
aepenablementfy21:all-> and eventType <> ''
aepenablementfy21:all-> group by eventType;
eventType | count(1)
------------------------------+----------
commerce.productViews | 2297
commerce.productListAdds | 494
commerce.purchases | 246
(3 rows)
识别有参与风险的访客（访问页面=>取消服务）
SQL
select distinct --aepTenantId--.identification.core.ecid
from demo_system_event_dataset_for_website_global_v1_1
where --aepTenantId--.demoEnvironment.brandName IN ('Luma Telco', 'Citi Signal')
and web.webPageDetails.name = 'Cancel Service'
group by --aepTenantId--.identification.core.ecid
limit 10;
复制上面的语句，并在PSQL命令行接口中执行它。
查询结果
aepenablementfy21:all=> select distinct --aepTenantId--.identification.core.ecid
aepenablementfy21:all-> from demo_system_event_dataset_for_website_global_v1_1
aepenablementfy21:all-> where --aepTenantId--.demoEnvironment.brandName IN ('Luma Telco', 'Citi Signal')
aepenablementfy21:all-> and web.webPageDetails.name = 'Cancel Service'
aepenablementfy21:all-> group by --aepTenantId--.identification.core.ecid
aepenablementfy21:all-> limit 10;
ecid
----------------------------------
67802232253493573025911610627278
27147331741697745713411940873426
19806347932758146991274525406147
06339676267512351981624626408225
23933440740775575701680766564499
11860828134020790182705892056898
04258863338643046907489131372300
90257333076958492787834714105751
66695181015407529430237951973742
19103852558440070949457567094096
(10 rows)
在下一组查询中，我们将扩展上述查询，以便获得关于已访问“取消服务”页面的客户及其行为的完整视图。 您将学习如何使用Adobe定义函数对信息进行会话，确定事件的顺序和时间。 您还可以将数据集连接在一起，以进一步丰富和准备数据，以便在MicrosoftPower BI中分析。
7.3.2高级查询
大多数业务逻辑要求为客户收集接触点并按时订购。 此支持由Spark SQL以窗口函数的形式提供。 窗口函数是标准SQL的一部分，并受许多其他SQL引擎支持。
Adobe定义的函数
Adobe已将一组Adobe定义函数添加到标准SQL语法中，以便更好地了解体验数据。 在接下来的几个查询中，您将了解这些ADF功能。 您可以在文档🔗中找到更多信息和完整的列表。
在将“取消服务”页面作为会话中的第3页访问之前，人们在网站上做什么？
通过此查询，您将发现前两个Adobe定义的函数SESS_TIMEOUT和NEXT
SESS_TIMEOUT()重现使用Adobe Analytics找到的访问分组。 它执行类似的基于时间的分组，但可自定义参数。
NEXT() 和 PREVIOUS() 可以帮助您了解客户如何浏览您的网站。
SQL
SELECT
webPage,
webPage_2,
webPage_3,
webPage_4,
count(*) journeys
FROM
(
SELECT
webPage,
NEXT(webPage, 1, true)
OVER(PARTITION BY ecid, session.num
ORDER BY timestamp
ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING).value
AS webPage_2,
NEXT(webPage, 2, true)
OVER(PARTITION BY ecid, session.num
ORDER BY timestamp
ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING).value
AS webPage_3,
NEXT(webPage, 3, true)
OVER(PARTITION BY ecid, session.num
ORDER BY timestamp
ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING).value
AS webPage_4,
session.depth AS SessionPageDepth
FROM (
select a.--aepTenantId--.identification.core.ecid as ecid,
a.timestamp,
web.webPageDetails.name as webPage,
SESS_TIMEOUT(timestamp, 60 * 30)
OVER (PARTITION BY a.--aepTenantId--.identification.core.ecid
ORDER BY timestamp
ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW)
AS session
from demo_system_event_dataset_for_website_global_v1_1 a
where a.--aepTenantId--.identification.core.ecid in (
select b.--aepTenantId--.identification.core.ecid
from demo_system_event_dataset_for_website_global_v1_1 b
where b.--aepTenantId--.demoEnvironment.brandName IN ('Luma Telco', 'Citi Signal')
and b.web.webPageDetails.name = 'Cancel Service'
)
)
)
WHERE SessionPageDepth=1
and webpage_3 = 'Cancel Service'
GROUP BY webPage, webPage_2, webPage_3, webPage_4
ORDER BY journeys DESC
LIMIT 10;
复制上面的语句，并在PSQL命令行接口中执行它。
查询结果
webPage | webPage_2 | webPage_3 | webPage_4 | journeys
---------------------------------------+---------------------------------------+----------------+------------+----------
Citi Signal Sport | Google Pixel XL 32GB Black Smartphone | Cancel Service | Call Start | 2
SIM Only | Citi Signal Shop | Cancel Service | | 2
SIM Only | Telco Home | Cancel Service | | 2
TV & Broadband Deals | Samsung Galaxy S7 32GB Black | Cancel Service | | 2
Telco Home | Citi Signal Sport | Cancel Service | Call Start | 2
Google Pixel XL 32GB Black Smartphone | Broadband Deals | Cancel Service | | 2
Broadband Deals | Samsung Galaxy S7 32GB Black | Cancel Service | | 2
Broadband Deals | Samsung Galaxy S8 | Cancel Service | | 1
Samsung Galaxy S8 | Google Pixel XL 32GB Black Smartphone | Cancel Service | | 1
SIM Only | Google Pixel XL 32GB Black Smartphone | Cancel Service | Call Start | 1
(10 rows)
访问“取消服务”页面后，访客拨叫呼叫中心的时间是多少？
要回答这种查询，我们将使用TIME_BETWEEN_NEXT_MATCH() Adobe定义函数。
前一匹配函数或下一匹配函数之间的时间提供了一个新维度，该维度测量自特定事件以来经过的时间。
SQL
select * from (
select --aepTenantId--.identification.core.ecid as ecid,
web.webPageDetails.name as webPage,
TIME_BETWEEN_NEXT_MATCH(timestamp, web.webPageDetails.name='Call Start', 'seconds')
OVER(PARTITION BY --aepTenantId--.identification.core.ecid
ORDER BY timestamp
ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
AS contact_callcenter_after_seconds
from demo_system_event_dataset_for_website_global_v1_1
where --aepTenantId--.demoEnvironment.brandName IN ('Luma Telco', 'Citi Signal')
and web.webPageDetails.name in ('Cancel Service', 'Call Start')
) r
where r.webPage = 'Cancel Service'
limit 15;
复制上面的语句，并在PSQL命令行接口中执行它。
查询结果
ecid | webPage | contact_callcenter_after_seconds
----------------------------------+----------------+----------------------------------
00331886620679939148047665693117 | Cancel Service |
00626561600197295782131349716866 | Cancel Service |
00630470663554417679969244202779 | Cancel Service | -797
00720875344152796154458668700428 | Cancel Service | -519
00746064605049656090779523644276 | Cancel Service | -62
00762093837616944422322357210965 | Cancel Service |
00767875779073091876070699689209 | Cancel Service |
00798691264980137616449378075855 | Cancel Service |
00869613691740150556826953447162 | Cancel Service | -129
00943638725078228957873279219207 | Cancel Service | -750
01167540466536077846425644389346 | Cancel Service |
01412448537869549016063764484810 | Cancel Service |
01419076946514450291741574452702 | Cancel Service | -482
01533124771963987423015507880755 | Cancel Service |
01710651086750904478559809475925 | Cancel Service |
(15 rows)
那么，这种接触的结果是什么？
解释我们将数据集连接在一起，在本例中，我们将demo_system_event_dataset_for_website_global_v1_1与demo_system_event_dataset_for_call_center_global_v1_1连接。 我们这样做是为了了解呼叫中心互动的结果。
SQL
select distinct r.*,
c.--aepTenantId--.interactionDetails.core.callCenterAgent.callFeeling,
c.--aepTenantId--.interactionDetails.core.callCenterAgent.callTopic,
c.--aepTenantId--.interactionDetails.core.callCenterAgent.callContractCancelled
from (
select --aepTenantId--.identification.core.ecid ecid,
web.webPageDetails.name as webPage,
TIME_BETWEEN_NEXT_MATCH(timestamp, web.webPageDetails.name='Call Start', 'seconds')
OVER(PARTITION BY --aepTenantId--.identification.core.ecid
ORDER BY timestamp
ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
AS contact_callcenter_after_seconds
from demo_system_event_dataset_for_website_global_v1_1
where --aepTenantId--.demoEnvironment.brandName IN ('Luma Telco', 'Citi Signal')
and web.webPageDetails.name in ('Cancel Service', 'Call Start')
) r
, demo_system_event_dataset_for_call_center_global_v1_1 c
where r.ecid = c.--aepTenantId--.identification.core.ecid
and r.webPage = 'Cancel Service'
and c.--aepTenantId--.interactionDetails.core.callCenterAgent.callContractCancelled IN (true,false)
and c.--aepTenantId--.interactionDetails.core.callCenterAgent.callTopic IN ('contract', 'invoice','complaint','wifi')
limit 15;
复制上面的语句，并在PSQL命令行接口中执行它。
查询结果
ecid | webPage | contact_callcenter_after_seconds | callfeeling | calltopic | callcontractcancelled
----------------------------------+----------------+----------------------------------+-------------+-----------+-----------------------
65003638134805559755890758041032 | Cancel Service | -440 | negative | contract | true
24197860921105808861772992106002 | Cancel Service | -109 | negative | contract | true
96145097889556586310105454800766 | Cancel Service | -501 | neutral | contract | true
18680613140217544548647790969994 | Cancel Service | -502 | negative | contract | true
66121898576007921287545496624574 | Cancel Service | -546 | negative | contract | true
35086866174626846547860375146326 | Cancel Service | -493 | negative | contract | false
30502827193916828536733220567055 | Cancel Service | -924 | negative | contract | true
85319114253582167371394801608573 | Cancel Service | -267 | positive | contract | true
04258863338643046907489131372300 | Cancel Service | -588 | positive | contract | false
23933440740775575701680766564499 | Cancel Service | -261 | neutral | contract | true
17332005215125613039685855763735 | Cancel Service | -478 | neutral | contract | true
02666934104296797891818818456669 | Cancel Service | -297 | positive | contract | true
48158305927116134877913019413025 | Cancel Service | -47 | neutral | contract | false
13294750130353985087337266864522 | Cancel Service | -71 | positive | contract | false
69034679856689334967307492458080 | Cancel Service | -812 | negative | contract | true
(15 rows)
这些客户的忠诚度用户档案是什么？
在此查询，我们加入已载入Adobe Experience Platform的忠诚度数据。 这样，您就可以利用忠诚度数据丰富客户流失分析。
SQL
select r.*,
c.--aepTenantId--.interactionDetails.core.callCenterAgent.callFeeling,
c.--aepTenantId--.interactionDetails.core.callCenterAgent.callTopic,
l.--aepTenantId--.loyaltyDetails.level,
l.--aepTenantId--.identification.core.loyaltyId
from (
select --aepTenantId--.identification.core.ecid ecid,
web.webPageDetails.name as webPage,
TIME_BETWEEN_NEXT_MATCH(timestamp, web.webPageDetails.name='Call Start', 'seconds')
OVER(PARTITION BY --aepTenantId--.identification.core.ecid
ORDER BY timestamp
ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
AS contact_callcenter_after_seconds
from demo_system_event_dataset_for_website_global_v1_1
where --aepTenantId--.demoEnvironment.brandName IN ('Luma Telco', 'Citi Signal')
and web.webPageDetails.name in ('Cancel Service', 'Call Start')
) r
, demo_system_event_dataset_for_call_center_global_v1_1 c
, demo_system_profile_dataset_for_loyalty_global_v1_1 l
where r.ecid = c.--aepTenantId--.identification.core.ecid
and r.webPage = 'Cancel Service'
and l.--aepTenantId--.identification.core.ecid = r.ecid
and c.--aepTenantId--.interactionDetails.core.callCenterAgent.callTopic IN ('contract', 'invoice','complaint','wifi','promo')
limit 15;
复制上面的语句，并在PSQL命令行接口中执行它。
查询结果
ecid | webPage | contact_callcenter_after_seconds | callfeeling | calltopic | level | loyaltyid
----------------------------------+----------------+----------------------------------+-------------+-----------+--------+-----------
65003638134805559755890758041032 | Cancel Service | -440 | negative | contract | Gold | 924854108
65003638134805559755890758041032 | Cancel Service | -440 | negative | contract | Gold | 924854108
24197860921105808861772992106002 | Cancel Service | -109 | negative | contract | Bronze | 094259678
24197860921105808861772992106002 | Cancel Service | -109 | negative | contract | Bronze | 094259678
96145097889556586310105454800766 | Cancel Service | -501 | neutral | contract | Gold | 644887358
96145097889556586310105454800766 | Cancel Service | -501 | neutral | contract | Gold | 644887358
18680613140217544548647790969994 | Cancel Service | -502 | negative | contract | Gold | 205300004
18680613140217544548647790969994 | Cancel Service | -502 | negative | contract | Gold | 205300004
66121898576007921287545496624574 | Cancel Service | -546 | negative | contract | Bronze | 095728673
66121898576007921287545496624574 | Cancel Service | -546 | negative | contract | Bronze | 095728673
35086866174626846547860375146326 | Cancel Service | -493 | negative | contract | Bronze | 453145930
35086866174626846547860375146326 | Cancel Service | -493 | negative | contract | Bronze | 453145930
30502827193916828536733220567055 | Cancel Service | -924 | negative | contract | Gold | 269406417
30502827193916828536733220567055 | Cancel Service | -924 | negative | contract | Gold | 269406417
85319114253582167371394801608573 | Cancel Service | -267 | positive | contract | Bronze | 899276035
(15 rows)
他们从哪个地区来我们？
让我们包括Adobe Experience Platform捕获的地理信息，如经度、态度、城市、国家代码，以便获得一些关于吸引客户的地理洞察。
SQL
select distinct r.ecid,
r.city,
r.countrycode,
r.lat as latitude,
r.lon as longitude,
r.contact_callcenter_after_seconds as seconds_to_contact_callcenter,
c.--aepTenantId--.interactionDetails.core.callCenterAgent.callFeeling,
c.--aepTenantId--.interactionDetails.core.callCenterAgent.callTopic,
c.--aepTenantId--.interactionDetails.core.callCenterAgent.callContractCancelled,
l.--aepTenantId--.loyaltyDetails.level,
l.--aepTenantId--.identification.core.loyaltyId
from (
select --aepTenantId--.identification.core.ecid ecid,
placeContext.geo._schema.latitude lat,
placeContext.geo._schema.longitude lon,
placeContext.geo.city,
placeContext.geo.countryCode,
web.webPageDetails.name as webPage,
TIME_BETWEEN_NEXT_MATCH(timestamp, web.webPageDetails.name='Call Start', 'seconds')
OVER(PARTITION BY --aepTenantId--.identification.core.ecid
ORDER BY timestamp
ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
AS contact_callcenter_after_seconds
from demo_system_event_dataset_for_website_global_v1_1
where --aepTenantId--.demoEnvironment.brandName IN ('Luma Telco', 'Citi Signal')
and web.webPageDetails.name in ('Cancel Service', 'Call Start')
) r
, demo_system_event_dataset_for_call_center_global_v1_1 c
, demo_system_profile_dataset_for_loyalty_global_v1_1 l
where r.ecid = c.--aepTenantId--.identification.core.ecid
and r.webPage = 'Cancel Service'
and l.--aepTenantId--.identification.core.ecid = r.ecid
and c.--aepTenantId--.interactionDetails.core.callCenterAgent.callTopic IN ('contract', 'invoice','complaint','wifi','promo')
limit 15;
复制上面的语句，并在PSQL命令行接口中执行它。
查询结果
ecid | city | countrycode | latitude | longitude | seconds_to_contact_callcenter | callfeeling | calltopic | callcontractcancelled | level | loyaltyid
----------------------------------+-----------+-------------+------------+------------+-------------------------------+-------------+-----------+-----------------------+--------+-----------
00630470663554417679969244202779 | Charlton | GB | 51.59119 | -1.407848 | -797 | negative | contract | false | Bronze | 524483285
00630470663554417679969244202779 | Charlton | GB | 51.59119 | -1.407848 | -797 | negative | contract | | Bronze | 524483285
00720875344152796154458668700428 | Ashley | GB | 51.4139633 | -2.2685462 | -519 | positive | contract | false | Silver | 860696333
00720875344152796154458668700428 | Ashley | GB | 51.4139633 | -2.2685462 | -519 | positive | contract | | Silver | 860696333
00746064605049656090779523644276 | Liverpool | GB | 53.4913801 | -2.867264 | -62 | positive | contract | true | Bronze | 072387270
00746064605049656090779523644276 | Liverpool | GB | 53.4913801 | -2.867264 | -62 | positive | contract | | Bronze | 072387270
00869613691740150556826953447162 | Langley | GB | 51.888151 | -0.23924 | -129 | negative | contract | true | Bronze | 789347684
00869613691740150556826953447162 | Langley | GB | 51.888151 | -0.23924 | -129 | negative | contract | | Bronze | 789347684
00943638725078228957873279219207 | Eaton | GB | 53.2945961 | -0.9335791 | -750 | positive | contract | false | Gold | 033926162
00943638725078228957873279219207 | Eaton | GB | 53.2945961 | -0.9335791 | -750 | positive | contract | | Gold | 033926162
01419076946514450291741574452702 | Tullich | GB | 57.4694803 | -3.1269422 | -482 | neutral | contract | false | Bronze | 105063634
01419076946514450291741574452702 | Tullich | GB | 57.4694803 | -3.1269422 | -482 | neutral | contract | | Bronze | 105063634
01738842540109643781526526573341 | Whitwell | GB | 54.3886617 | -1.555363 | -562 | neutral | contract | false | Gold | 791324509
01738842540109643781526526573341 | Whitwell | GB | 54.3886617 | -1.555363 | -562 | neutral | contract | | Gold | 791324509
02052460258994877317679083617975 | Edinburgh | GB | 55.9309486 | -3.1859102 | -545 | neutral | contract | false | Gold | 443477555
(15 rows)
呼叫中心交互分析
在以上查询中，我们只查看在取消服务时最终与呼叫中心联系的访客。 我们希望将这一点放得更广一些，并考虑所有呼叫中心互动，包括wifi、促销、发票、投诉和合同。
您需要编辑查询，因此我们先打开记事本或括号。
在Windows上，单击Windows工具栏中的“search”图标(1)，在“search”-field(2)中键入记事本 ，然后单击(3)“notepad”结果：
在Mac上
将以下语句复制到记事本／括号：
select /* enter your name */
e.--aepTenantId--.identification.core.ecid as ecid,
e.placeContext.geo.city as city,
e.placeContext.geo._schema.latitude latitude,
e.placeContext.geo._schema.longitude longitude,
e.placeContext.geo.countryCode as countrycode,
c.--aepTenantId--.interactionDetails.core.callCenterAgent.callFeeling as callFeeling,
c.--aepTenantId--.interactionDetails.core.callCenterAgent.callTopic as callTopic,
c.--aepTenantId--.interactionDetails.core.callCenterAgent.callContractCancelled as contractCancelled,
l.--aepTenantId--.loyaltyDetails.level as loyaltystatus,
l.--aepTenantId--.loyaltyDetails.points as loyaltypoints,
l.--aepTenantId--.identification.core.loyaltyId as crmid
from demo_system_event_dataset_for_website_global_v1_1 e
,demo_system_event_dataset_for_call_center_global_v1_1 c
,demo_system_profile_dataset_for_loyalty_global_v1_1 l
where e.--aepTenantId--.demoEnvironment.brandName IN ('Luma Telco', 'Citi Signal')
and e.web.webPageDetails.name in ('Cancel Service', 'Call Start')
and e.--aepTenantId--.identification.core.ecid = c.--aepTenantId--.identification.core.ecid
and l.--aepTenantId--.identification.core.ecid = e.--aepTenantId--.identification.core.ecid;
并替换
enter your name
请勿删除/\*和\*/。 您在记事本中修改的语句应当如下：
将修改后的语句从记事本复制到PSQL命令行窗口中并按Enter。 PSQL命令行窗口中应显示以下结果：
aepenablementfy21:all=>
aepenablementfy21:all=> select /* vangeluw */
aepenablementfy21:all-> e._experienceplatform.identification.core.ecid as ecid,
aepenablementfy21:all-> e.placeContext.geo.city as city,
aepenablementfy21:all-> e.placeContext.geo._schema.latitude latitude,
aepenablementfy21:all-> e.placeContext.geo._schema.longitude longitude,
aepenablementfy21:all-> e.placeContext.geo.countryCode as countrycode,
aepenablementfy21:all-> c._experienceplatform.interactionDetails.core.callCenterAgent.callFeeling as callFeeling,
aepenablementfy21:all-> c._experienceplatform.interactionDetails.core.callCenterAgent.callTopic as callTopic,
aepenablementfy21:all-> c._experienceplatform.interactionDetails.core.callCenterAgent.callContractCancelled as contractCancelled,
aepenablementfy21:all-> l._experienceplatform.loyaltyDetails.level as loyaltystatus,
aepenablementfy21:all-> l._experienceplatform.loyaltyDetails.points as loyaltypoints,
aepenablementfy21:all-> l._experienceplatform.identification.core.loyaltyId as crmid
aepenablementfy21:all-> from demo_system_event_dataset_for_website_global_v1_1 e
aepenablementfy21:all-> ,demo_system_event_dataset_for_call_center_global_v1_1 c
aepenablementfy21:all-> ,demo_system_profile_dataset_for_loyalty_global_v1_1 l
aepenablementfy21:all-> where e._experienceplatform.demoEnvironment.brandName IN ('Luma Telco', 'Citi Signal')
aepenablementfy21:all-> and e.web.webPageDetails.name in ('Cancel Service', 'Call Start')
aepenablementfy21:all-> and e._experienceplatform.identification.core.ecid = c._experienceplatform.identification.core.ecid
aepenablementfy21:all-> and l._experienceplatform.identification.core.ecid = e._experienceplatform.identification.core.ecid;
ecid | city | latitude | longitude | countrycode | callFeeling | callTopic | contractCancelled | loyaltystatus | loyaltypoints | crmid
----------------------------------+------------+------------+------------+-------------+-------------+-----------+-------------------+---------------+---------------+-----------
33977405947573095768416894125891 | Tullich | 57.4694803 | -3.1269422 | GB | positive | wifi | false | Bronze | 73.0 | 904552921
33977405947573095768416894125891 | Tullich | 57.4694803 | -3.1269422 | GB | positive | wifi | false | Bronze | 73.0 | 904552921
33977405947573095768416894125891 | Tullich | 57.4694803 | -3.1269422 | GB | positive | wifi | | Bronze | 73.0 | 904552921
33977405947573095768416894125891 | Tullich | 57.4694803 | -3.1269422 | GB | positive | wifi | | Bronze | 73.0 | 904552921
67802232253493573025911610627278 | Linton | 54.0542238 | -2.0215836 | GB | none | none | false | Silver | 522.0 | 417981877
67802232253493573025911610627278 | Linton | 54.0542238 | -2.0215836 | GB | none | none | false | Silver | 522.0 | 417981877
67802232253493573025911610627278 | Linton | 54.0542238 | -2.0215836 | GB | none | none | | Silver | 522.0 | 417981877
67802232253493573025911610627278 | Linton | 54.0542238 | -2.0215836 | GB | none | none | | Silver | 522.0 | 417981877
27147331741697745713411940873426 | Langley | 51.888151 | -0.23924 | GB | none | none | false | Bronze | 790.0 | 826545716
27147331741697745713411940873426 | Langley | 51.888151 | -0.23924 | GB | none | none | false | Bronze | 790.0 | 826545716
27147331741697745713411940873426 | Langley | 51.888151 | -0.23924 | GB | none | none | | Bronze | 790.0 | 826545716
27147331741697745713411940873426 | Langley | 51.888151 | -0.23924 | GB | none | none | | Bronze | 790.0 | 826545716
19806347932758146991274525406147 | Edinburgh | 55.9309486 | -3.1859102 | GB | none | none | false | Gold | 981.0 | 412492571
19806347932758146991274525406147 | Edinburgh | 55.9309486 | -3.1859102 | GB | none | none | false | Gold | 981.0 | 412492571
19806347932758146991274525406147 | Edinburgh | 55.9309486 | -3.1859102 | GB | none | none | | Gold | 981.0 | 412492571
19806347932758146991274525406147 | Edinburgh | 55.9309486 | -3.1859102 | GB | none | none | | Gold | 981.0 | 412492571
06339676267512351981624626408225 | Edinburgh | 55.9309486 | -3.1859102 | GB | none | none | false | Bronze | 632.0 | 024761880
06339676267512351981624626408225 | Edinburgh | 55.9309486 | -3.1859102 | GB | none | none | false | Bronze | 632.0 | 024761880
06339676267512351981624626408225 | Edinburgh | 55.9309486 | -3.1859102 | GB | none | none | | Bronze | 632.0 | 024761880
06339676267512351981624626408225 | Edinburgh | 55.9309486 | -3.1859102 | GB | none | none | | Bronze | 632.0 | 024761880
23933440740775575701680766564499 | Whitwell | 54.3886617 | -1.555363 | GB | neutral | contract | true | Gold | 853.0 | 696923821
23933440740775575701680766564499 | Whitwell | 54.3886617 | -1.555363 | GB | neutral | contract | true | Gold | 853.0 | 696923821
23933440740775575701680766564499 | Whitwell | 54.3886617 | -1.555363 | GB | neutral | contract | | Gold | 853.0 | 696923821
23933440740775575701680766564499 | Whitwell | 54.3886617 | -1.555363 | GB | neutral | contract | | Gold | 853.0 | 696923821
11860828134020790182705892056898 | Norton | 52.2679288 | -1.1202549 | GB | none | none | false | Gold | 139.0 | 271933383
11860828134020790182705892056898 | Norton | 52.2679288 | -1.1202549 | GB | none | none | false | Gold | 139.0 | 271933383
11860828134020790182705892056898 | Norton | 52.2679288 | -1.1202549 | GB | none | none | | Gold | 139.0 | 271933383
11860828134020790182705892056898 | Norton | 52.2679288 | -1.1202549 | GB | none | none | | Gold | 139.0 | 271933383
:
接下来，您将将您的查询（也称为创建表，作为选择或CTAS）作为将在MicrosoftPower BI中使用的新数据集。
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