Attempting To Transpose/pivot Columns To Rows... I Think.

Jun 26, 2006

I have something of a challenge for you folks (at least it's very challenging for me).

I have a table that has data that looks like this:

Date______OrderNum____WorkDay

2006-06-1__AA_________1

2006-06-1__AB_________1

2006-06-2__BA_________2

2006-06-2__BB_________2

2006-06-2__BC_________2

2006-06-5__CA_________3

2006-06-5__CB_________3

etc.

So, there are dates that orders happened and each date is marked as the 1, 2, 3, etc. business day of the month.

What I am trying to write is a SQL statement that will display results thus:

Day1______Day2______Day3_______etc.

AA________BA_______CA_________etc.

AB________BB_______CB_________etc.

Is this making any sense to anyone? Basically, I need to turn the WorkDay rows into columns and display all the info for each WorkDay under them.

I have a feeling this isn't hard, but I am fairly new to writing SQL so any advice would be pure gold to me. Thanks!

 

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Aug 15, 2015

I need to pivot my records in columns into rows. Here is sample data:

create table #columnstorows
(
Payer varchar (5),                  
ID varchar (5),      
ClM varchar (2),                 
Paid1 float,
Paid2 float,
Paid3 float
)                      

[code]....

Desired result:

Payer1 Payer2
ID1 ID2
Paid1A Paid1B
Paid2A Paid2B
Paid3A Paid3B
U001 U002
 001 002
76.58 19.53
 153.48 96.43
 53.48   200

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Aug 15, 2015

I need to pivot my records in columns into rows. Here is sample data:

create table #columnstorows
(
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IDvarchar (5),
ClMvarchar (2),
Paid1float,

[Code] ....

Desired result:

Payer1Payer2ID1ID2Paid1APaid1BPaid2APaid2BPaid3APaid3B
U001 U002 00100276.58 19.53 153.4896.43 53.48 200

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Oct 22, 2007

Any of you have code to transpose rows into columns in T-SQL 2000. For example I have the following table

ID type
1 A
1 B
2 A
2 C
2 D
etc,....




I want to tranpose

to some like

ID type
1 A,B
2 A,C,D
etc,...


or

ID type1 type2 type3
1 A B
2 A C D

etc,....


Really appreciate any input.

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Apr 23, 2008

I have the below table:
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Pallet1 ItemB1
Pallet1 ItemC1
Pallet1 ItemD1
Pallet1 ItemE1
Pallet2 ItemA2
Pallet2 ItemB2
Pallet2 ItemC2
Pallet2 ItemD2


Would like to Transpose it to
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Would be thankful for Any help.

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Mar 23, 2015

how to transpose rows to columns . there are 800 dynamic rows

device_idUserNameipaddrmacaddrLastConnecttimeOperatingSystemRAMCPUTOTALSIZEFREESPACEpercentageDriveNameName
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[code]...

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I am struggling with doing what should be a fairly simply transpose of columns to rows. I have found some examples but nothing I could get working.

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Brand, Model, Color1, Color2, Color3, Color4, Color5, Color6
Honda, Accord, Red, Grey, Black, White,,,
Toyota, Corolla, White, Black,,,,,

The output should look like:

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Honda, Accord, Red
Honda, Accord, Grey
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Toyota, Corolla, White
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Aug 31, 2015

Below. I have also pasted the current result of this query and the desired result. 

Query can be updated to get the desired result as given below?

Query:
Select c.OTH_PAYER_ID, c.PAID_DATE, f.GROUP_CODE, f.REASON_CODE, f.ADJUSTMENT_AMOUNT
From MMIT_CLAIM_ITEM b, mmit_tpl c , mmit_attachment_link d, MMIT_TPL_GROUP_RSN_ADJ f
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Current Result which I am getting with this query

OTH_PAYER_ID PAID_DATE GROUP_CODE REASON_CODE ADJUSTMENT_AMOUNT
5501 07/13/2015 CO 11 23.87
5501 07/13/2015 PR 12 3.76
5501 07/13/2015 OT 32 33.45
2032 07/14/2015 CO 12 23.87
2032 07/14/2015 OT 14 43.01

Desired/Expected Result for which I need updated query

OTH_PAYER_ID PAID_DATE GROUP_CODE_1 REASON_CODE_1 ADJUSTMENT_AMOUNT_1 GROUP_CODE_2
REASON_CODE_2 ADJUSTMENT_AMOUNT_2 GROUP_CODE_3 REASON_CODE_3 ADJUSTMENT_AMOUNT_3

5501 07/13/2015 CO 11 23.87 PR 12 3.76 OT 32 33.45 2032 07/14/2015 CO 12 23.87 OT 14 43.01

Using DB2.

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Jul 10, 2006

Hi everybody.

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SellerID(PK)
Year(PK)
ItemsSoldDPT1
ItemsSoldDPT2
ValueSoldDPT1
ValueSoldDPT2

1
2002
10
20
300.00
400.00

1
2003
13
71
450.00
320.00

1
2004
8
4
350.00
640.00

1
2005
2
15
110.00
680.00

2
2001
3
1
130.00
100.00

2
2005
1
7
190.00
200.00

2
2006
6
9
170.00
500.00

...
...
...
...
...
...

I'm trying to write a query that puts the data present in the "Year" column as if they were in a row (column definitions)..making sums of pieces and values.. or.. to be more clear..

I want to obtain this:



SellerID
2001 Items
2001 Values
2002 Items
2002 Values
2003 Items
2003 Values
2004 Items
2004 Values
2005 Items
2005 Values
2006 Items
2006 Values
...

1
(NULL)
(NULL)
30
700.00
84
770.00
12
990.00
17
790.00
(NULL)
(NULL)
...

2
4
230.00
(NULL)
(NULL)
(NULL)
(NULL)
(NULL)
(NULL)
8
390.00
15
670.00
...

...
...
..
...
...
...
...
...
...
...
...
...
...
...

Any ideas? I think I should use the PIVOT keyword to write the sql but I can't figure how it works and how can I do that sums.

Please note: I don't know how many distinct values of "Year" exists and the min and max year can be specified by the user.

Thank you for your help.

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empid lastname firstname title titleofcourtesy ModifiedOROriginal

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We need an output like this:

empid
1
1

lastname
Davis1
Davis

firstname
Sara
Sara

title
CEO
CEO

titleofcourtesy
Ms.
Ms.

ModifiedOROriginal
Modified
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Hi,

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-------- ----- -------- --------
Panel_1 1 R
Panel_1 1 L
Panel_1 1 R
Panel_1 1 R
Panel_2 1
Panel_2 1 L


I need to group this data like this :

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-------- ----- -------- --------
Panel_1 3 L R
Panel_2 1
Panel_2 1 L


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The attached file provides an example of the table structure along with sample data. Below the first set of data is the desired final format.

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Aug 3, 2007

Hello All,

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Consider that we have Product Category, Product and its monthly sales information retrieved as follows:













CategoryID
ProductID
ProductName
Month
UnitPrice
QtySold
SalesAmount

1
1
Panel
Jan
5
10
50

1
1
Panel
Feb
5
15
75

1
1
Panel
Mar
5
20
100

1
2
Frame
Jan
10
30
300

1
2
Frame
Feb
10
25
250

1
2
Frame
Mar
10
20
200

1
3
Glass
Jan
20
10
200

1
3
Glass
Feb
20
20
400

1
3
Glass
Mar
20
30
600

I would like it to be converted into following result set:















CategoryID
ProductID
ProductName
UnitPrice
QtySold_Jan
SalesAmt_Jan
QtySold_Feb
SalesAmt_Feb
QtySold_Mar
SalesAmt_Mar

1
1
Panel
5
10
50
15
75
20
100

1
2
Frame
10
30
300
25
250
20
200

1
3
Glass
20
10
200
20
400
30
600

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Thanks.

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I have this query:

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[Code] ....

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Hello,
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;WITH
ctePreAgg AS
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t3.s_initials "Initials"
from mytablestuff
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I can get the rows needed:

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================================
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01101

I think I need to then convert this set of rows to a table which I can join to the object runtime table to start these objects if the column has a count/sum greater than 0. This is the table I think I need in order to join on guids to the runtime table:

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===========
guid10
guid22
guid32
guid40
guid51

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I also don't want to use a cursor to construct a table.


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go
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-----------------------------

SELECT
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------------------------------------------------------------ ------------------------------------------------------------ --------------------------------- -------------------- ---------------------
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FROM dbo.allNotes(8) AS t
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Hello,

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1 1 cat_nbr Granrier
1 1 cat_page pg 21
1 2 cat_nbr H&S
1 2 cat_page pg234
2 1 cat_nbr Ford
2 1 cat_page pg5

I need to pivot on rec_id and sequence to get an output like this:

rec_id sequence cat_nbr cat_page
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1 2 H&S pg234
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All I seem to be able to get thoug is this:
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1 2 H&S
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456, Lime Juice, 120.00, 81.00, 17.25, 2.00

There could be 1 item or 4000 items.

What I want to see is.

Item # - 123, 456
Description - Grenadine, Lime Juice
CaseSalePrice - 100.00, 120.00
Cost - 75.00, 81.00
BottleSalePrice - 15.50, 17.25
Discount - 2.00, 2.00

What I am actually doing is running this the top example and saving to excel. Then copying the sheet. Creating a new sheet then doing a paste special transpose and this gives the users what they want to see.

I want to grab that table object in the report layout tab and twist it 90degrees so the header is on the left, detail is in the middle and the footer is on the right. It would be perfect.

The dynamic column need is really the problem here. I never know how many items will be in the report. They all have the same basic information like description and pricing.

I am all out of creative ideas, any help would be appreciated.

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