Solved

sql with pivot I think???

Posted on 2009-07-16
8
284 Views
Last Modified: 2012-05-07
I am trying to list all the extensions for 1 phone call from phone data
each extension should be a column
I currently use max and min to get 2 of the columns but I want all
I think I need to do a pivot or something but dont know how
I am not sure how to put each UnitAddress from the multiple rows that
are associated with the phone number on 1 Row

it would be like

select

Phone
, MAX(UnitAddress)
, MIN(UnitAddress)
, SUM(CallLength)

from PhoneData

where Phone='212xxxYYYY'

group by

Phone


Note I need to sum of all the calls from 1 phone on 1 day together and then on that same row list all of the unitaddress instead of just max and min


any ideas?
0
Comment
Question by:pmtolk1
[X]
Welcome to Experts Exchange

Add your voice to the tech community where 5M+ people just like you are talking about what matters.

  • Help others & share knowledge
  • Earn cash & points
  • Learn & ask questions
8 Comments
 
LVL 9

Assisted Solution

by:Hwkranger
Hwkranger earned 165 total points
ID: 24872405
You want a dynamic pivot.

Use this function that this team wrote:

http://weblogs.sqlteam.com/jeffs/articles/5120.aspx
0
 
LVL 60

Assisted Solution

by:Kevin Cross
Kevin Cross earned 335 total points
ID: 24872418
Does the list of extensions need to be in separate columns or would say a comma delimited list of extensions work just fine?

PIVOT would be good solution if you want the SUM by extension IMHO.

Since you do NOT in this case, I would avoid using PIVOT and the complexities associated with that; however, depending on your answer to my question, that may have to be a considered alternative.

If you are OK with a comma delimited listing, you can try this out as a solution:
SELECT Phone
, REPLACE((SELECT UnitAddress AS "data()" 
		FROM PhoneData e 
		WHERE e.Phone = p.Phone 
		FOR XML PATH(''))
	, ' ', ',') AS extensions
, SUM(CallLength)
FROM PhoneData p
WHERE Phone='212xxxYYYY'
GROUP BY Phone

Open in new window

0
 
LVL 42

Expert Comment

by:pcelba
ID: 24873184
Very nice. I would say this FOR XML side effect is neglected(unsure if is it the right word) in most cases. Are you sure it does not report "missing aggregate function" error? I have to test it.

Hope UnitAddress does not contain spaces... :-)
0
Get Actionable Data from Your Monitoring Solution

Your communication platform is only as good as the relevance of the information you send. Ensure your alerts get to the right people every time with actionable responses. Create escalation rules that ensure everyone follows the process and nothing is left to chance.

 
LVL 60

Accepted Solution

by:
Kevin Cross earned 335 total points
ID: 24873634
Yeah, I think I learned that trick from CGLuttrell.

For potential spaces, can just LTrim(RTrim(UnitAddress)).  Also could have duplicate records to represent multiple calls logged, so here an updated version.

It doesn't need aggregate since it is a sub query that only uses Phone which is included in the group by clause.  Would have errors if had to join on some other field like CallLength that is being aggregated.
-- cte used for test purposes, can remove for live query
;WITH PhoneData(Phone, UnitAddress, CallLength) AS (
	SELECT '212xxxYYYY', '  345 ', 1.2
	UNION ALL SELECT '212xxxYYYY', '123', 2.4
	UNION ALL SELECT '212xxxYYYY', '212', 1.1
	UNION ALL SELECT '212xxxYYYY', '123', 0.4
	UNION SELECT '212xxzYYYY', '  345 ', 1.2
	UNION ALL SELECT '212xxzYYYY', '123', 2.4
	UNION ALL SELECT '212xxqYYYY', '212', 1.1
	UNION ALL SELECT '212xxzYYYY', '123', 0.4
	
) -- end cte used for test purposes
SELECT Phone
, REPLACE((SELECT DISTINCT LTrim(RTrim(UnitAddress)) AS "data()" 
                FROM PhoneData e 
                WHERE e.Phone = p.Phone 
                FOR XML PATH(''))
        , ' ', ',') AS extensions
, SUM(CallLength)
FROM PhoneData p
-- commented to show works on multiple rows without impacting aggregate
--WHERE Phone='212xxxYYYY'
GROUP BY Phone

Open in new window

0
 
LVL 27

Expert Comment

by:Chris Luttrell
ID: 24874077
mwvisa1, thanks for the plug :-)  
Nice to know folks learn from what I have contributed.
Congrats on your Good Answer here!
0
 
LVL 60

Expert Comment

by:Kevin Cross
ID: 24874111
Most definitely.
I like this approach much better than using variable and so having to do in multi-part statement.  You inspired me to look more deeply into how it works and actually used it in reverse for splitting comma delimited string to table/list.

Regards,
--isa
0
 
LVL 2

Author Comment

by:pmtolk1
ID: 24874183
mwvisa1: I am running your query and it is taking over two minutes now
I am getting some weird kind of combinatorial explosion
How can I filter the results better so it doesnt explode?

Thanks so much
0
 
LVL 60

Expert Comment

by:Kevin Cross
ID: 24874236
Sorry, I missed the fact that you said this but didn't have in your code an actual filter:
"Note I need to sum of all the calls from 1 phone on 1 day together"

If that is truly the case, then you should probably have this as your group by:
GROUP BY Phone, CallDate
Where "CallDate" should be replaced with your column containing the date you want to filter on.

With that said, you will probably want to take that a step further and filter your subquery for extensions to only pull the extensions that correspond to phone for that same date.
SELECT Phone, CallDate
, REPLACE((SELECT DISTINCT LTrim(RTrim(UnitAddress)) AS "data()" 
                FROM PhoneData e 
                WHERE e.Phone = p.Phone AND e.CallDate = p.CallDate
                FOR XML PATH(''))
        , ' ', ',') AS extensions
, SUM(CallLength)
FROM PhoneData p
-- remember I commented this to test, you had uncommented:
WHERE Phone='212xxxYYYY'
GROUP BY Phone, CallDate

Open in new window

0

Featured Post

Free eBook: Backup on AWS

Everything you need to know about backup and disaster recovery with AWS, for FREE!

Question has a verified solution.

If you are experiencing a similar issue, please ask a related question

This article explains how to reset the password of the sa account on a Microsoft SQL Server.  The steps in this article work in SQL 2005, 2008, 2008 R2, 2012, 2014 and 2016.
In this article we will get to know that how can we recover deleted data if it happens accidently. We really can recover deleted rows if we know the time when data is deleted by using the transaction log.
There are cases when e.g. an IT administrator wants to have full access and view into selected mailboxes on Exchange server, directly from his own email account in Outlook or Outlook Web Access. This proves useful when for example administrator want…
This tutorial will teach you the special effect of super speed similar to the fictional character Wally West aka "The Flash" After Shake : http://www.videocopilot.net/presets/after_shake/ All lightning effects with instructions : http://www.mediaf…

717 members asked questions and received personalized solutions in the past 7 days.

Join the community of 500,000 technology professionals and ask your questions.

Join & Ask a Question