I'm having a bit of trouble here. I have two different tables, one that stores the number of impressions a particular banner has had on the website per day and per user, and another the number of e-mails that have been sent any user any given date.
A bit like this:
BANNERS DATE USER_ID CLIENT_ID BANNER_ID IMPRESSI开发者_StackOverflow中文版ONS ________ _______ _________ ________ ___________ 04/05/11 AX745 CC CC45 4 04/05/11 AX745 KC KC66 1 04/07/11 XY555 DP DP45 2
And:
EMAILS DATE USER_ID EMAIL_ID CLIENT_ID ________ _______ ________ _________ 04/05/11 AX745 EM001 CC 04/05/11 AX745 EM005 BK 04/07/11 XY555 EM008 DP
Both tables contain the client ID, and some form of date information, besides the user id.
I also need to reference the client ID to get the actual client's name, and those are stored in yet a third table, like so:
CLIENTS CLIENT_ID CLIENT _________ ________________________ CC COCA-COLA KC KFC DP DOMINOS BK BURGER KING
I need a query that will return, on a per date per user listing, how many impressions has the user had of each banner, as well as which client owns it, and how many e-mails was the user sent that particular day, and from which client.
Something roughly like so:
DATE USER_ID BANNER_CLIENT_ID BANNER_ID IMPRESSIONS EMAIL_ID EMAIL_CLIENT_ID ________ _______ ________________ _________ ___________ ________ _______________ 04/05/11 AX745 COCA-COLA CC45 4 EM001 COCA-COLA 04/05/11 AX745 EM005 BURGER-KING 04/05/11 AX745 KFC KC66 1 04/07/11 XY555 DOMINOS DP45 2 EM008 DOMINOS
I have no problem getting each set of information separately, but so far I haven't been able to merge all the data into a single report.
Any help will be greatly appreciated.
Thanks!
C
The query below should give you the desired output.
SELECT A.DATE, A.USER_ID, A.BANNER_ID, A.IMPRESSIONS, B.EMAIL_ID, C.CLIENT AS EMAIL_CLIENT_ID
FROM BANNERS A
LEFT JOIN EMAILS B ON A.CLIENT_ID=B.CLIENT_ID
LEFT JOIN CLIENTS C ON A.CLIENT_ID=C.CLIENT_ID
WHERE A.DATE=TO_DATE('04/07/11', 'MM-DD-YY')
Declare @impressions table
( [DATE] date,
[USER_ID] varchar(10),
[CLIENT_ID] varchar(10),
[BANNER_ID] varchar(10),
[IMPRESSIONS] int
)
Declare @ClientEmails table
( [DATE] date,
[USER_ID] varchar(10),
[EMAIL_ID] varchar(10),
[CLIENT_ID] varchar(10)
)
Declare @Clients table
( [CLIENT_ID] varchar(10),
[CLIENT] varchar(50)
)
Insert Into @impressions ([DATE], [USER_ID], [CLIENT_ID], [BANNER_ID], [IMPRESSIONS])
Values ('2011/04/05', 'AX745', 'CC', 'CC45', 4),
('2011/04/05', 'AX745', 'KC', 'KC66', 1),
('2011/04/07', 'XY555', 'DP', 'DP45', 2)
Insert Into @ClientEmails ([DATE],[USER_ID],[EMAIL_ID], [CLIENT_ID])
Values ('2011/04/05', 'AX745', 'EM001', 'CC'),
('2011/04/05', 'AX745', 'EM005', 'BK'),
('2011/04/07', 'XY555', 'EM008', 'DP')
Insert Into @Clients([CLIENT_ID], [CLIENT])
Values ('CC', 'COCA-COLA'),
('KC', 'KFC'),
('DP', 'DOMINOS'),
('BK', 'BURGER KING')
Select isNull(imp.[DATE], eml.[DATE]) as [DATE],
imp.[USER_ID],
cli.[CLIENT] as [BANNER_CLIENT_ID],
imp.[USER_ID] as [BANNER_ID],
imp.[IMPRESSIONS],
eml.[EMAIL_ID],
emc.[CLIENT] as [EMAIL_CLIENT_ID]
from @impressions imp
Left Join @Clients cli
on imp.[CLIENT_ID]=cli.[CLIENT_ID]
Full outer Join @ClientEmails eml
on imp.[CLIENT_ID]=eml.[CLIENT_ID]
and imp.[USER_ID]=eml.[USER_ID]
and imp.[DATE]=eml.[DATE]
Left Join @Clients emc
on eml.CLIENT_ID=emc.CLIENT_ID
Order By [DATE]
Because you could have either BANNERs without EMAILs and also EMAILS without BANNERS you will need to user a FULL OUTER JOIN.
SELECT
nvl(A.DATE, b.date) as DATE,
nvl(A.USER_ID, b.user_id) as USER_ID,
c.client as banner_client_id,
A.BANNER_ID,
A.IMPRESSIONS,
B.EMAIL_ID,
D.CLIENT AS EMAIL_CLIENT_ID
FROM
BANNERS A
FULL OUTER JOIN EMAILS B ON (A.USER_ID=B.USER_ID AND
a.DATE = b.DATE and
A.CLIENT_ID = B.CLIENT_ID)
LEFT OUTER JOIN CLIENTS C ON (C.CLIENT_ID= a.CLIENT_ID)
LEFT OUTER JOIN CLIENTS D ON (D.CLIENT_ID= B.CLIENT_ID)
A full version of the query including some sample data is shown below:
with banners as (
select date '2011-04-05' as date_col, 'AX745' as user_id, 'CC' as client_id, 'CC45' as banner_id, 4 as impressions from dual union all
select date '2011-04-05' as date_col, 'AX745' as user_id, 'KC' as client_id, 'KC56' as banner_id, 1 as impressions from dual union all
select date '2011-04-07' as date_col, 'XY555' as user_id, 'DP' as client_id, 'CC45' as banner_id, 2 as impressions from dual
),
emails as (
select date '2011-04-05' as date_col, 'AX745' as user_id, 'EM001' as email_id, 'CC' as client_id from dual union all
select date '2011-04-05' as date_col, 'AX745' as user_id, 'EM005' as email_id, 'BK' as client_id from dual union all
select date '2011-04-07' as date_col, 'XY555' as user_id, 'EM008' as email_id, 'DP' as client_id from dual
),
clients as (
select 'CC' as client_id, 'Coca-Cola' as client_name from dual union all
select 'KC' as client_id, 'KFC' as client_name from dual union all
select 'DP' as client_id, 'Dominos' as client_name from dual union all
select 'BK' as client_id, 'Burger King' as client_name from dual
)
select
nvl(A.DATE_col, b.date_col) as DATE_col,
nvl(A.USER_ID, b.user_id) as USER_ID,
c.client_name as banner_client_id,
A.BANNER_ID,
A.IMPRESSIONS,
B.EMAIL_ID,
D.CLIENT_name AS EMAIL_CLIENT_ID
from
banners a
full outer join emails b on (A.USER_ID=B.USER_ID AND
a.DATE_col = b.DATE_col and
A.CLIENT_ID = B.CLIENT_ID)
left outer join clients c on (a.client_id = c.client_id)
left outer join clients d on (b.client_id = d.client_id)
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