Pivot in SQL

Hi,
How to display the following data in row based result,
Actual Table Result:
Cust_Name Prod1 Prod2 Prod3
A 5 10 11
I want the result like following,
Product Name Value
Prod1 5
Prod2 10
Prod3 11
Please help me to get know about this.
TIA

As per your need!!!
with t
as
select 'A' Cust_Name ,5 Prod1 , 10 Prod2 , 11 Prod3   from dual
union all
select 'B' Cust_Name ,7 Prod1 , 12 Prod2 , 15 Prod3   from dual
select Cust_Name,cols, vals
from t
UnPivot include nulls (Vals for cols in(Prod1 , Prod2 ,Prod3))
CUST_NAME COLS        VALS
A         PROD1          5
A         PROD2         10
A         PROD3         11
B         PROD1          7
B         PROD2         12
B         PROD3         15
Hi Dhiva, Kindly close this thread if answered.....
This track records doesn't look good Total Questions:      29 (27 unresolved)
Only 2 threads are closedRegards,
Lokanath Giri
Edited by: Lokanath Giri on ३ फ़रवरी, २०१२ २:५७ अपराह्न

Similar Messages

Help on Pivot in SQL

Hi Gurus,
I have req where i need to do comparison between regular bill vs trial bill. I need to get the trial of the current_month and 2 months previous and last months regular bills. Here is th sample data.
Account#    Invc #       Start_Date       End_Date    regular_Amoun   t Trial_Amount
1233456    26470000 01-Jun-2013      01-Jul-2013        $ 19                    $27
1347589    26470000 01-Aug-2013     current_date       $ 45                   $67
1115756    26470000 01-May-2013     01-June-2013     $ 39                    $27
Here is the desired output
Account#    Invc #   June 2013 July 2013 Aug 2013
1233456    26470000    $39         $19       $67
Any input is appreciated

Maybe
with
t as
(select 1233456 Account,
        26471000 Invc,
        to_date('01-Jun-2013','dd-Mon-yyyy') Start_Date,
        to_date('01-Jul-2013','dd-Mon-yyyy') End_Date,
        19 regular_amount,
        27 Trial_Amount
   from dual union all
select 1233456,26472001,to_date('01-Jul-2013','dd-Mon-yyyy'),to_date('01-Aug-2013','dd-Mon-yyyy'),45,67
from dual union all
select 1233456,26473002,to_date('01-May-2013','dd-Mon-yyyy'),to_date('01-June-2013','dd-Mon-yyyy'),39,27
from dual union all
select 1233457,26474003,to_date('01-Apr-2013','dd-Mon-yyyy'),to_date('01-May-2013','dd-Mon-yyyy'),22.9,51
from dual union all
select 1233457,26471110,to_date('01-Jun-2013','dd-Mon-yyyy'),to_date('01-Jul-2013','dd-Mon-yyyy'),500,500
from dual union all
select 1233457,26472112,to_date('01-Jul-2013','dd-Mon-yyyy'),to_date('01-Aug-2013','dd-Mon-yyyy'),100,100
from dual union all
select 1233457,26473114,to_date('01-May-2013','dd-Mon-yyyy'),to_date('01-Jun-2013','dd-Mon-yyyy'),2345,2344
from dual union all
select 1233457,26473116,to_date('01-Apr-2013','dd-Mon-yyyy'),to_date('01-May-2013','dd-Mon-yyyy'),12000,12000
from dual
) -- select * from t
select Account,Invc,p2m prior_2_month,p1m prior_1_month,cm current_month,sysdate
from (select max(Account) keep (dense_rank first order by invc) Account,
               Invc,
               sum(case when start_date = add_months(trunc(sysdate,'mm'),-2) then regular_amount end) p2m,
               sum(case when start_date = add_months(trunc(sysdate,'mm'),-1) then regular_amount end) p1m,
               sum(case when trunc(end_date,'mm') = trunc(sysdate,'mm') then trial_amount end) cm
          from t
         group by Invc
where coalesce(prior_2_month,prior_1_month,current_month) is not null
order by Account,Invc
ACCOUNT
INVC
PRIOR_2_MONTH
PRIOR_1_MONTH
CURRENT_MONTH
SYSDATE
1233456
26471000
19
08/19/2013
1233456
26472001
45
67
08/19/2013
1233457
26471110
500
08/19/2013
1233457
26472112
100
100
08/19/2013
Regards
Etbin

Dynamic PIVOT in T-SQL or somewhere else?

In a
recent thread on dynamic SQL, the issue of dynamic PIVOT came up.
Dynamic PIVOT can be implemented in T-SQL with dynamic SQL:
Pivots with Dynamic Columns in SQL Server 2005
http://sqlhints.com/2014/03/18/dynamic-pivot-in-sql-server/
http://stackoverflow.com/questions/10404348/sql-server-dynamic-pivot-query
http://www.sqlusa.com/bestpractices2005/dynamicpivot/
Alternatives:
1. Enhancement by MS to the current static PIVOT which has limited use since it is not data-driven
2. Use SSRS which has built-in dynamic columns
3. Use client app
What is your opinion? Is it OK to use dynamic SQL for dynamic PIVOT?
Kalman Toth Database & OLAP Architect
SQL Server 2014 Design & Programming
New Book / Kindle: Exam 70-461 Bootcamp: Querying Microsoft SQL Server 2012

solution elsewhere, for instance with Tablix in SSRS. Pivoting a result set in C# should not be too difficult
But I could do it much faster in T-SQL with dynamic SQL.
If your shop has a reporting system like SSRS and the request is for permanent report, then by all means, SSRS is the choice with built-in dynamic columns.
C#? I used to know C/C++. So that is not a choice for me. On the other hand, if you are competent in C#, then it may be a better choice, or it may not.
I'm not sure why people tend to shy away from dynamic SQL, for me, I've never had any problems or issues. Is there any specific reason for this?
Maybe the multiple single quotes like '''' in concatenation of the dynamic SQL string? When one looks at the following example, it is easy to see that dynamic SQL adds a new level of complexity to static SQL. Yet, the complexity pays off with incredible
dynamic SQL programming power.
BLOG: Building Dynamic SQL In a Stored Procedure
Code example from the blog:
/* This stored procedure builds dynamic SQL and executes
using sp_executesql */
Create Procedure sp_EmployeeSelect
/* Input Parameters */
@EmployeeName NVarchar(100),
@Department NVarchar(50),
@Designation NVarchar(50),
@StartDate DateTime,
@EndDate DateTime,
@Salary Decimal(10,2)
AS
Set NoCount ON
/* Variable Declaration */
Declare @SQLQuery AS NVarchar(4000)
Declare @ParamDefinition AS NVarchar(2000)
/* Build the Transact-SQL String with the input parameters */
Set @SQLQuery = 'Select * From tblEmployees where (1=1) '
/* check for the condition and build the WHERE clause accordingly */
If @EmployeeName Is Not Null
Set @SQLQuery = @SQLQuery + ' And (EmployeeName = @EmployeeName)'
If @Department Is Not Null
Set @SQLQuery = @SQLQuery + ' And (Department = @Department)'
If @Designation Is Not Null
Set @SQLQuery = @SQLQuery + ' And (Designation = @Designation)'
If @Salary Is Not Null
Set @SQLQuery = @SQLQuery + ' And (Salary >= @Salary)'
If (@StartDate Is Not Null) AND (@EndDate Is Not Null)
Set @SQLQuery = @SQLQuery + ' And (JoiningDate
BETWEEN @StartDate AND @EndDate)'
/* Specify Parameter Format for all input parameters included
in the stmt */
Set @ParamDefinition = ' @EmployeeName NVarchar(100),
@Department NVarchar(50),
@Designation NVarchar(50),
@StartDate DateTime,
@EndDate DateTime,
@Salary Decimal(10,2)'
/* Execute the Transact-SQL String with all parameter value's
Using sp_executesql Command */
Execute sp_Executesql @SQLQuery,
@ParamDefinition,
@EmployeeName,
@Department,
@Designation,
@StartDate,
@EndDate,
@Salary
If @@ERROR <> 0 GoTo ErrorHandler
Set NoCount OFF
Return(0)
ErrorHandler:
Return(@@ERROR)
GO
LINK:
http://www.codeproject.com/Articles/20815/Building-Dynamic-SQL-In-a-Stored-Procedure
Kalman Toth Database & OLAP Architect
SQL Server 2014 Design & Programming
New Book / Kindle: Exam 70-461 Bootcamp: Querying Microsoft SQL Server 2012

IR with dynamic pivot

Hi all
We have been designing resource management system and want to provide flexible way to extend resource properties at runtime. So we are storing resource properties in a single table, e.g.
select * from _kv
ID K V
1 name Bob
1 age 30
1 gender male
2 name Susan
2 status married
convert to
+-----+-------+--------+----------+
| key | color | height | whatever |
+-----+-------+--------+----------+
| 1 | green | 15 | --- |
| 2 | --- | --- | lol |
+-----+-------+--------+----------+
example of dynamic pivot Dynamic SQL Pivoting &#8211; Stealing Anton&#8217;s Thunder</title> //<title>AMIS Technology Blog…
Is it possible to create interactive report with dynamic columns updated when _kv will be changed?
Is it possible to create add/edit dynamic form depends on key set if we add value type description?
Thanks

make sure you put some thought into your database design before you go too far.
There are many horror stories about EAV based schema designs. (which this design seems to be heading.)
Read up on them before you go too far.
-- back to being on topic --
AFAIK you can not do dynamic SELECT with an Interactive Report.
However, you can with a Basic Report. But, it is non-trivial. (ie it is difficult to do)
Basic Report can use a "function returning SELECT statement".
You will also need to name the columns based on a different function.
In order to 'synchronize' the column names with the SELECT statement, you will need a 3rd function that properly generates them.
This 3rd function MUST have an 'ORDER BY' clause.
Both the generateSELECT() function and the generateCOLUMN_NAMES() function will call that 3rd function.
From a code management standpoint, you will need to create a package that contains all three functions.
are you sure you want to go this route?
are you ready to go this route?
Again, think about your table designs.
MK

PIVOT example

I need to some help to PIVOT my dataset, need to move the description column to individual columns, so I have 1 row for eaach id
below is an example
declare @Pivot table (
S_dates datetime
, id varchar(10)
, code varchar(100)
, description varchar(max))
insert @Pivot select '2014-03-24 00:00:00.000','1580/7','07611819360532','Matrix 90° L-Plate, medium, 2+2 holes, reversible, thickness 0.8 mm, Pure Titanium, sterile'
insert @Pivot select '2014-03-24 00:00:00.000','1580/7','07611819362369','Matrix Screw Ø 1.85 mm, self-drilling, length 4 mm, Titanium Alloy (TAN), sterile, pack of 4 units in Clip'
insert @Pivot select '2014-03-24 00:00:00.000','1580/7','07611819362383','Matrix Screw Ø 1.85 mm, self-drilling, length 5 mm, Titanium Alloy (TAN), sterile, pack of 4 units in Clip'
insert @Pivot select '2014-03-24 00:00:00.000','1580/7','07611819362437','Matrix Screw Ø 2.1 mm, self-tapping, length 4 mm, Titanium Alloy (TAN), sterile, pack of 1 unit in Clip'
insert @Pivot select '2014-03-21 00:00:00.000','7551/4','07611819362406','Matrix Screw Ø 1.85 mm, self-drilling, length 6 mm, Titanium Alloy (TAN), sterile, pack of 4 units in Clip'
insert @Pivot select '2014-03-21 00:00:00.000','7551/4','07611819362437','Matrix Screw Ø 2.1 mm, self-tapping, length 4 mm, Titanium Alloy (TAN), sterile, pack of 1 unit in Clip'
insert @Pivot select '2014-03-21 00:00:00.000','7551/4','07611819377523','Matrix Drill Bit Ø 1.4 mm with Stop, length 44.5/8 mm, for J-Latch Coupling, sterile'
insert @Pivot select '2014-03-21 00:00:00.000','4820/4','07611819360709','Matrix Anatomic L-Plate, short, 3+3 holes, reversible, thickness 0.8 mm, Pure Titanium, sterile'
insert @Pivot select '2014-03-21 00:00:00.000','4820/4','07611819362222','Matrix Screw Ø 1.85 mm, self-tapping, length 6 mm, Titanium Alloy (TAN), sterile, pack of 4 units in Clip'
insert @Pivot select '2014-03-21 00:00:00.000','4820/4','07611819377523','Matrix Drill Bit Ø 1.4 mm with Stop, length 44.5/8 mm, for J-Latch Coupling, sterile'
insert @Pivot select '2014-03-21 00:00:00.000','3738/4','07611819360709','Matrix Anatomic L-Plate, short, 3+3 holes, reversible, thickness 0.8 mm, Pure Titanium, sterile'
insert @Pivot select '2014-03-21 00:00:00.000','3738/4','07611819362222','Matrix Screw Ø 1.85 mm, self-tapping, length 6 mm, Titanium Alloy (TAN), sterile, pack of 4 units in Clip'
insert @Pivot select '2014-03-21 00:00:00.000','3738/4','07611819362406','Matrix Screw Ø 1.85 mm, self-drilling, length 6 mm, Titanium Alloy (TAN), sterile, pack of 4 units in Clip'
insert @Pivot select '2014-03-21 00:00:00.000','3738/4','07611819362437','Matrix Screw Ø 2.1 mm, self-tapping, length 4 mm, Titanium Alloy (TAN), sterile, pack of 1 unit in Clip'
insert @Pivot select '2014-03-21 00:00:00.000','3738/4','07611819377523','Matrix Drill Bit Ø 1.4 mm with Stop, length 44.5/8 mm, for J-Latch Coupling, sterile'
insert @Pivot select '2014-03-21 00:00:00.000','6578/1','07611819360709','Matrix Anatomic L-Plate, short, 3+3 holes, reversible, thickness 0.8 mm, Pure Titanium, sterile'
insert @Pivot select '2014-03-21 00:00:00.000','6578/1','07611819362406','Matrix Screw Ø 1.85 mm, self-drilling, length 6 mm, Titanium Alloy (TAN), sterile, pack of 4 units in Clip'
insert @Pivot select '2014-03-12 00:00:00.000','7666/1','07611819381100','Drill Bit Ø 1.5 mm with Stop, length 50/6 mm, 2-flute, for J-Latch Coupling, sterile'
select * from @Pivot

Hi,
Please see the Query below hope it helps. Its dynamic with data. I have used Temp Tables instead of table variables. Hope its helps.
Create
table #Pivot (
      S_dates
datetime
, id varchar(10)
, code varchar(100)
, description
varchar(max))
insert #Pivot
select '2014-03-24 00:00:00.000','1580/7','07611819360532','Matrix
90° L-Plate, medium, 2+2 holes, reversible, thickness 0.8 mm, Pure Titanium, sterile'
insert #Pivot
select '2014-03-24 00:00:00.000','1580/7','07611819362369','Matrix
Screw Ø 1.85 mm, self-drilling, length 4 mm, Titanium Alloy (TAN), sterile, pack of 4 units in Clip'
insert #Pivot
select '2014-03-24 00:00:00.000','1580/7','07611819362383','Matrix
Screw Ø 1.85 mm, self-drilling, length 5 mm, Titanium Alloy (TAN), sterile, pack of 4 units in Clip'
insert #Pivot
select '2014-03-24 00:00:00.000','1580/7','07611819362437','Matrix
Screw Ø 2.1 mm, self-tapping, length 4 mm, Titanium Alloy (TAN), sterile, pack of 1 unit in Clip'
insert #Pivot
select '2014-03-21 00:00:00.000','7551/4','07611819362406','Matrix
Screw Ø 1.85 mm, self-drilling, length 6 mm, Titanium Alloy (TAN), sterile, pack of 4 units in Clip'
insert #Pivot
select '2014-03-21 00:00:00.000','7551/4','07611819362437','Matrix
Screw Ø 2.1 mm, self-tapping, length 4 mm, Titanium Alloy (TAN), sterile, pack of 1 unit in Clip'
insert #Pivot
select '2014-03-21 00:00:00.000','7551/4','07611819377523','Matrix
Drill Bit Ø 1.4 mm with Stop, length 44.5/8 mm, for J-Latch Coupling, sterile'
insert #Pivot
select '2014-03-21 00:00:00.000','4820/4','07611819360709','Matrix
Anatomic L-Plate, short, 3+3 holes, reversible, thickness 0.8 mm, Pure Titanium, sterile'
insert #Pivot
select '2014-03-21 00:00:00.000','4820/4','07611819362222','Matrix
Screw Ø 1.85 mm, self-tapping, length 6 mm, Titanium Alloy (TAN), sterile, pack of 4 units in Clip'
insert #Pivot
select '2014-03-21 00:00:00.000','4820/4','07611819377523','Matrix
Drill Bit Ø 1.4 mm with Stop, length 44.5/8 mm, for J-Latch Coupling, sterile'
insert #Pivot
select '2014-03-21 00:00:00.000','3738/4','07611819360709','Matrix
Anatomic L-Plate, short, 3+3 holes, reversible, thickness 0.8 mm, Pure Titanium, sterile'
insert #Pivot
select '2014-03-21 00:00:00.000','3738/4','07611819362222','Matrix
Screw Ø 1.85 mm, self-tapping, length 6 mm, Titanium Alloy (TAN), sterile, pack of 4 units in Clip'
insert #Pivot
select '2014-03-21 00:00:00.000','3738/4','07611819362406','Matrix
Screw Ø 1.85 mm, self-drilling, length 6 mm, Titanium Alloy (TAN), sterile, pack of 4 units in Clip'
insert #Pivot
select '2014-03-21 00:00:00.000','3738/4','07611819362437','Matrix
Screw Ø 2.1 mm, self-tapping, length 4 mm, Titanium Alloy (TAN), sterile, pack of 1 unit in Clip'
insert #Pivot
select '2014-03-21 00:00:00.000','3738/4','07611819377523','Matrix
Drill Bit Ø 1.4 mm with Stop, length 44.5/8 mm, for J-Latch Coupling, sterile'
insert #Pivot
select '2014-03-21 00:00:00.000','6578/1','07611819360709','Matrix
Anatomic L-Plate, short, 3+3 holes, reversible, thickness 0.8 mm, Pure Titanium, sterile'
insert #Pivot
select '2014-03-21 00:00:00.000','6578/1','07611819362406','Matrix
Screw Ø 1.85 mm, self-drilling, length 6 mm, Titanium Alloy (TAN), sterile, pack of 4 units in Clip'
insert #Pivot
select '2014-03-12 00:00:00.000','7666/1','07611819381100','Drill
Bit Ø 1.5 mm with Stop, length 50/6 mm, 2-flute, for J-Latch Coupling, sterile'
select
* from #Pivot
Declare @SQL
Varchar(max)
, @Var
Varchar(max)
SELECT
        @Var=coalesce(@Var+',','')+'['
+ code +']'
FROM
(Select
DISTINCT code from #Pivot)
as A
Select @Var
SET @SQL
= ''
SET @SQL
= '
SELECT id, S_dates,'
+
@Var
+'
FROM
(SELECT *
    FROM #Pivot) AS SourceTable PIVOT
MAX(description)
FOR Code IN ('+ @Var
+ ')
) AS PivotTable;'
Exec
(@SQL)
Regards, PS

Pivoting string values( ,comma seperator) to separate columns(usingREG_EXP)

<pre>
I have column PART which contains string as shown below
PART
BMW PART,TEST PART,TEST PART,HYPER PART,HYPER PART,TESTINGNEWONE,TESTINGNEWONE,TESTINGNEWONE
string has got comma separated, i need to project as individual columns like
P1 P2 .... P8
BMW PART TEST PART TESTINGEWONE
how can it be done... (i think by using regular expressions it can be done but i am not aware of it can any one help)
</pre>
Thanks
Naren

Hi,
Narendar.Vishwanatham wrote:
thanks a lot for your query....
cant we make it dynamically instead of hardcoding each columnThe number of columns produced by a query must be hard-coded into the query.
Dynamic SQL means that you have some program (often another query) write all or part of the main query for you.
The following thread has an example of a dynamic pivot in SQL*Plus:
Help for a query to add columns
The following thread discusses different options for dealing with an unknown number of columns after the pivot:
Re: Report count and sum from many rows into many columns
(and i guess the answer you gave is not possible to get with out using regular expresssions right !!!)No, you can get the same results using INSTR and SUBSTR.
Whenever you ask for help, post a little sample data (CREATE TABLE and INSERT statements), and the results you want from that data.
Always mention what version of Oracle (and any other relevant tools) you're using. This is especially important with pivots; recent versions of Oracle have helpful new features.

Very Complex SQL Query

Hi,
I have three tables
master(m_id m_name)
1 m1
2 m2
3 m3
t1(m_id, int_type)
1 INT(2)
1 INT(3)
t2(m_id, char_type)
1 CHAR(3)
1 CHAR(4)
master table has m_id as a primary key, while this is foreign key in tables t1 and t2. Now i want to get the result like this.
m1 INT(2) INT(3) CHAR(3) CHAR(4)
[All these rows should be converted into columns]
Thanx in Advance

Hi,
Here's a sample based on pivoting:TEST.SQL>CREATE TABLE MASTER
2 (
3      M_ID NUMBER PRIMARY KEY,
4      M_NAME VARCHAR2(5)
5 );
Table created.
TEST.SQL>INSERT INTO MASTER VALUES (1,'m1');
1 row created.
TEST.SQL>INSERT INTO MASTER VALUES (2,'m2');
1 row created.
TEST.SQL>INSERT INTO MASTER VALUES (3,'m3');
1 row created.
TEST.SQL>
TEST.SQL>CREATE TABLE T1
2 (
3      M_ID NUMBER REFERENCES MASTER(M_ID),
4      INT_TYPE VARCHAR2(10)
5 );
Table created.
TEST.SQL>
TEST.SQL>INSERT INTO T1 VALUES (1,'INT(2)');
1 row created.
TEST.SQL>INSERT INTO T1 VALUES (1,'INT(3)');
1 row created.
TEST.SQL>INSERT INTO T1 VALUES (2,'INT(1)');
1 row created.
TEST.SQL>INSERT INTO T1 VALUES (3,'INT(1)');
1 row created.
TEST.SQL>INSERT INTO T1 VALUES (3,'INT(2)');
1 row created.
TEST.SQL>INSERT INTO T1 VALUES (3,'INT(4)');
1 row created.
TEST.SQL>INSERT INTO T1 VALUES (3,'INT(8)');
1 row created.
TEST.SQL>
TEST.SQL>CREATE TABLE T2
2 (
3      M_ID NUMBER REFERENCES MASTER(M_ID),
4      CHAR_TYPE VARCHAR2(10)
5 );
Table created.
TEST.SQL>
TEST.SQL>INSERT INTO T2 VALUES (1,'CHAR(3)');
1 row created.
TEST.SQL>INSERT INTO T2 VALUES (1,'CHAR(4)');
1 row created.
TEST.SQL>INSERT INTO T2 VALUES (3,'CHAR(9)');
1 row created.
TEST.SQL>INSERT INTO T2 VALUES (3,'CHAR(10)');
1 row created.
TEST.SQL>
TEST.SQL>
TEST.SQL>COMMIT;
Commit complete.
TEST.SQL>
TEST.SQL>SELECT M_NAME, MAX(V1), MAX(V2), MAX(V3), MAX(V4), MAX(V5), MAX(V6)
2 FROM
3      (
4      SELECT
5           M_NAME,RN,DECODE(RN,1,VAL) V1,DECODE(RN,2,VAL) V2,DECODE(RN,3,VAL) V3,DECODE(RN,4,VAL) V4,DECODE(RN,5,VAL) V5,DECODE(RN,6,VAL) V6
6      FROM
7                (
8                SELECT M_NAME, VAL, ROW_NUMBER() OVER (PARTITION BY M_NAME ORDER BY VAL) RN
9                FROM
10                          (
11                          SELECT MASTER.M_NAME, T1.INT_TYPE VAL
12                          FROM MASTER, T1
13                          WHERE T1.M_ID=MASTER.M_ID
14                          UNION ALL
15                          SELECT MASTER.M_NAME, T2.CHAR_TYPE VAL
16                          FROM MASTER, T2
17                          WHERE T2.M_ID=MASTER.M_ID
18                          ) SRC
19                )
20      ) TS
21 GROUP BY M_NAME
22 ;
M_NAM MAX(V1)    MAX(V2)    MAX(V3)    MAX(V4)    MAX(V5)    MAX(V6)
m1    CHAR(3)    CHAR(4)    INT(2)     INT(3)
m2    INT(1)
m3    CHAR(10)   CHAR(9)    INT(1)     INT(2)     INT(4)     INT(8)Note that this will work only if the max number of columns is 6.
It's possible (I already did it) to build a function that returns a dynamix result set from this query build dynamically. I'll let you do so!
Regards,
Yoann.

Can't Install Powe Pivot

Hello,
I have Office 2010,32 bit, Standard Version and I need to install Power Pivot for Excel 2010. I have tried to install de 32 bit version (SQL Server 2008), but it says that I need to install Office Shared Features and Excel 2010, which are already installed.
I have tried with other versions of Power Pivot, but I can't neither. I have also installed Visual Studio Tools for Office Runtime (also 32 bit), but I still can't install Powe Pivot, for SQL Server 2012 version.
Even more, I've been searching the solution in this forum, with persons that have the same problem as me, and when I try to implement the solution, it doesn't result.
Please help me to solve this problem.

Hi,
In regarding of the issue, please provide us more information to assist you better.
DO you mind telling us your Hardware/Software information?
Where did you download the Power Pivot for Excel 2010?
Would you like to share us the whole error message?
Based on the information that you mentioned above, we need to use the 32bit "Microsoft SQL Server 2008 R2 - PowerPivot for Microsoft Excel 2010 - RTM" with 32bit Excel
2010. We could see the information in "Install Instruction", I copied here:
>>Important : If you choose a custom installation of the Microsoft Office 2010, you must install both Excel 2010 and Office Shared Features in order to use PowerPivot for Excel.<< Please go to control panel to check Office Shared
Features is enabled:
Then, if you did meet the Prerequisites, then delete the power pivot and re-download it and follow the steps in the link and video:
http://msdn.microsoft.com/en-us/library/gg413462(v=sql.105).aspx
http://technet.microsoft.com/en-us/sqlserver/dn151340.aspx
Tips:
Please installed the prodcut release by runnuing the CMD line as admin.
Similar issue:
https://social.technet.microsoft.com/Forums/en-US/451eef18-5bf2-44bd-90e3-5507a9e834f2/installing-power-pivot?forum=sqlkjpowerpivotforexcel
Hope it's helpful.
Regards,
George Zhao
TechNet Community Support
It's recommended to download and install
Configuration Analyzer Tool (OffCAT), which is developed by Microsoft Support teams. Once the tool is installed, you can run it at any time to scan for hundreds of known issues in
Office programs.

Incorrect data value selected when clicking on slicer entry in Excel Services

We have uploaded various Excel 2013 files containing pivot tables to Sharepoint 2013 and viewed the pivot tables in a browser. The referenced pivot table data is normally a SSAS tabular model. This has been working fine for over 12 months apart
from one irritating feature.
Sometimes a clicked slicer entry does not result in the correct slicer value being selected. This typically occurs after using the mouse scroll button to scroll down a list of entries in a slicer. When using the keyboard arrow keys to highlight a slicer
value and pressing Return to select an entry, the correct value does always seem to be selected - so it appears to point to a mouse scrollwheel issue. Also, after scrolling through slicer entries using the mouse scroll wheel, there appears to be some sort
of slicer refresh problem that results in a blank entry/entries being displayed either at the top or bottom of a slicer. However, sometimes the correct 'tooltip' is shown for this blank slicer entry. One other point - when using the slicer scrollbar the scroll
down a list of slicer entries using Firefox, the problem does not seem to occur. IE does not seem to display the same type of slicer scrollbars (only active when the mouse hovers over the slicer) and so this is more difficult to replicate in Ie.
The worrying factor is that the user is often unaware that the incorrect slicer value has been selected. The problem can be replicated in both IE11 and Firefox. Also our client systems accessed via Citrix display the same problems.
Any help greatly appreciated. Thanks.
Graham Goodwin Email: [email protected]

Hi Graham,
i built the same version, please correct me if should your environment, is sharepoint 2013 with march 2013 update and your office also the same update. in my labbox seems the issue is not re-producible.
after some discussion with my colleague, seems there was issue similar like this back in 2010 Excel and the remedy is to update the excel services and to re-install the power pivot at SQL server. back then the issue is because when we scroll the selection,
it should be locked, so then when we scroll it may have the position to update and refresh the data. one of the workaround is by clicking the item and press enter, by doing this it will refresh the page correctly. the link was:http://www.microsoft.com/en-us/download/details.aspx?id=29074
i tried to look at our update for the excel services 2013, there are updates in every cumulative updates but there is no particlular update regarding this issue, perhaps you may try this to check in your development environment, if should it may fix the
issue.
to re-install the power pivot, you may need to do this on your sql side.　
http://technet.microsoft.com/en-us/library/ee210708.aspx
http://technet.microsoft.com/en-us/library/ee210671.aspxi may suggest you to check the ULS log, if should there are issues with powerpivot also, to make sure if should there are no issue
regarding power pivot. if there is no issues on the powerpivot, then you may need to open a ticket to report this issue, so that we can have a detailed checking to your environment remotely.
Regards,
Aries
Microsoft Online Community Support
Please remember to click “Mark as Answer” on the post that helps you, and to click “Unmark as Answer” if a marked post does not actually answer your question. This can be beneficial to other community members reading the thread.

Top N Analysis with multiple columns

Hi
I am using Oracle 9i. I do have a table which contains datewise promotional material types for an organisation.
The structure is as follows:
CREATE TABLE TEST
(CDATE DATE,
BROCHURE VARCHAR2(1),
WEBSITE VARCHAR2(1),
DIRECT_MAIL VARCHAR2(1),
PRESS_RELEASE VARCHAR2(1),
JOURNAL_AD VARCHAR2(1)
and the sample data is as follows:
CDate          Brochure     Website     Direct_Mail     Press_Release Journal_Ad
01/04/1996     Y Y Y N N
02/04/1996     Y Y N N N
23/06/1996     Y N Y Y N
13/09/1996     Y Y N N N
01/04/1997     Y Y N N N
02/04/1997     Y Y Y N Y
23/06/1997     N Y N N Y
13/09/1997     Y Y N N N
01/04/1998     Y Y Y N N
02/04/1998     Y N N Y N
23/06/1998     N Y N N Y
13/09/1998     Y Y N N Y
01/04/1999     Y Y Y N Y
02/04/1999     Y N N Y N
23/06/1999     N Y N N N
13/09/1999     Y Y Y N N
I want to have year wise top 4 promotional types in terms of count of 'Y' only. The result should be like as follows:
YEAR:1996
TYPE     COUNT
BROCHURE 4
WEBSITE 3
DIRECT_MAIL 2
PRESS_RELEASE 1
JOURNAL_AD 0
YEAR:1997
TYPE     COUNT
WEBSITE 4
BROCHURE 3
JOURNAL_AD 2
DIRECT_MAIL 1
PRESS_RELEASE 1
Please suggest a solution for the same. I am not able to sort it for multiple columns.
Regards
MS

One of the questions that must be asked when you have a requirement to only show the top N ranked items in a list, is "what about a tie in the ranking?".
Oracle has two ranking functions that allow you to deal with either requirement - RANK and DENSE_RANK. Both operate as either analytic or aggregate functions, so either will work for your requirements. The previous posting by Miguel demonstrated how to decode your Y/N flags and pivot the data.
In this example, I've taken the liberty of adding some data to year 2000 that will show the difference between RANK and DENSE_RANK as well as how to use them to filter your results.
First, here's the decoded/pivoted data:
SQL>WITH test AS
2 (         SELECT TO_DATE('01/04/1996','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'Y' AS WEBSITE, 'Y' AS DIRECT_MAIL, 'N' AS PRESS_RELEASE, 'N' AS JOURNAL_AD FROM DUAL
3 UNION ALL SELECT TO_DATE('02/04/1996','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'Y' AS WEBSITE, 'N' AS DIRECT_MAIL, 'N' AS PRESS_RELEASE, 'N' AS JOURNAL_AD FROM DUAL
4 UNION ALL SELECT TO_DATE('23/06/1996','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'N' AS WEBSITE, 'Y' AS DIRECT_MAIL, 'Y' AS PRESS_RELEASE, 'N' AS JOURNAL_AD FROM DUAL
5 UNION ALL SELECT TO_DATE('13/09/1996','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'Y' AS WEBSITE, 'N' AS DIRECT_MAIL, 'N' AS PRESS_RELEASE, 'N' AS JOURNAL_AD FROM DUAL
6 UNION ALL SELECT TO_DATE('01/04/1997','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'Y' AS WEBSITE, 'N' AS DIRECT_MAIL, 'N' AS PRESS_RELEASE, 'N' AS JOURNAL_AD FROM DUAL
7 UNION ALL SELECT TO_DATE('02/04/1997','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'Y' AS WEBSITE, 'Y' AS DIRECT_MAIL, 'N' AS PRESS_RELEASE, 'Y' AS JOURNAL_AD FROM DUAL
8 UNION ALL SELECT TO_DATE('23/06/1997','dd/mm/yyyy') AS CDATE, 'N' AS BROCHURE, 'Y' AS WEBSITE, 'N' AS DIRECT_MAIL, 'N' AS PRESS_RELEASE, 'Y' AS JOURNAL_AD FROM DUAL
9 UNION ALL SELECT TO_DATE('13/09/1997','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'Y' AS WEBSITE, 'N' AS DIRECT_MAIL, 'N' AS PRESS_RELEASE, 'N' AS JOURNAL_AD FROM DUAL
10 UNION ALL SELECT TO_DATE('01/04/1998','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'Y' AS WEBSITE, 'Y' AS DIRECT_MAIL, 'N' AS PRESS_RELEASE, 'N' AS JOURNAL_AD FROM DUAL
11 UNION ALL SELECT TO_DATE('02/04/1998','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'N' AS WEBSITE, 'N' AS DIRECT_MAIL, 'Y' AS PRESS_RELEASE, 'N' AS JOURNAL_AD FROM DUAL
12 UNION ALL SELECT TO_DATE('23/06/1998','dd/mm/yyyy') AS CDATE, 'N' AS BROCHURE, 'Y' AS WEBSITE, 'N' AS DIRECT_MAIL, 'N' AS PRESS_RELEASE, 'Y' AS JOURNAL_AD FROM DUAL
13 UNION ALL SELECT TO_DATE('13/09/1998','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'Y' AS WEBSITE, 'N' AS DIRECT_MAIL, 'N' AS PRESS_RELEASE, 'Y' AS JOURNAL_AD FROM DUAL
14 UNION ALL SELECT TO_DATE('01/04/1999','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'Y' AS WEBSITE, 'Y' AS DIRECT_MAIL, 'N' AS PRESS_RELEASE, 'Y' AS JOURNAL_AD FROM DUAL
15 UNION ALL SELECT TO_DATE('02/04/1999','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'N' AS WEBSITE, 'N' AS DIRECT_MAIL, 'Y' AS PRESS_RELEASE, 'N' AS JOURNAL_AD FROM DUAL
16 UNION ALL SELECT TO_DATE('23/06/1999','dd/mm/yyyy') AS CDATE, 'N' AS BROCHURE, 'Y' AS WEBSITE, 'N' AS DIRECT_MAIL, 'N' AS PRESS_RELEASE, 'N' AS JOURNAL_AD FROM DUAL
17 UNION ALL SELECT TO_DATE('13/09/1999','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'Y' AS WEBSITE, 'Y' AS DIRECT_MAIL, 'N' AS PRESS_RELEASE, 'N' AS JOURNAL_AD FROM DUAL
18 UNION ALL SELECT TO_DATE('01/04/2000','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'Y' AS WEBSITE, 'Y' AS DIRECT_MAIL, 'N' AS PRESS_RELEASE, 'Y' AS JOURNAL_AD FROM DUAL
19 UNION ALL SELECT TO_DATE('02/04/2000','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'Y' AS WEBSITE, 'Y' AS DIRECT_MAIL, 'Y' AS PRESS_RELEASE, 'N' AS JOURNAL_AD FROM DUAL
20 UNION ALL SELECT TO_DATE('23/06/2000','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'Y' AS WEBSITE, 'N' AS DIRECT_MAIL, 'N' AS PRESS_RELEASE, 'N' AS JOURNAL_AD FROM DUAL
21 UNION ALL SELECT TO_DATE('13/09/2000','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'Y' AS WEBSITE, 'Y' AS DIRECT_MAIL, 'Y' AS PRESS_RELEASE, 'N' AS JOURNAL_AD FROM DUAL
22 )
23 SELECT cyear
24        ,ctype
25        ,RANK()       OVER (PARTITION BY cyear ORDER BY num_media DESC) ranking
26        ,DENSE_RANK() OVER (PARTITION BY cyear ORDER BY num_media DESC) dense_ranking
27 FROM (SELECT TRUNC(CDATE,'Y') CYEAR
28             ,'BROCHURE' CTYPE, SUM(DECODE(BROCHURE, 'Y', 1, 0)) NUM_MEDIA
29        FROM test
30        GROUP BY TRUNC(CDATE,'Y')
31        UNION ALL
32        SELECT TRUNC(CDATE,'Y') CYEAR
33             ,'WEBSITE' CTYPE, SUM(DECODE(WEBSITE, 'Y', 1, 0))
34        FROM test
35        GROUP BY TRUNC(CDATE,'Y')
36        UNION ALL
37        SELECT TRUNC(CDATE,'Y') CYEAR
38             ,'DIRECT_MAIL' CTYPE, SUM(DECODE(DIRECT_MAIL, 'Y', 1, 0))
39        FROM test
40        GROUP BY TRUNC(CDATE,'Y')
41        UNION ALL
42        SELECT TRUNC(CDATE,'Y') CYEAR
43             ,'PRESS_RELEASE' CTYPE, SUM(DECODE(PRESS_RELEASE, 'Y', 1, 0))
44        FROM test
45        GROUP BY TRUNC(CDATE,'Y')
46        UNION ALL
47        SELECT TRUNC(CDATE,'Y') CYEAR
48             ,'JOURNAL_AD' CTYPE, SUM(DECODE(JOURNAL_AD, 'Y', 1, 0))
49        FROM test
50        GROUP BY TRUNC(CDATE,'Y')
51       )
52* order by cyear desc, ranking
53 /
CYEAR                         CTYPE             RANKING DENSE_RANKING
01-Jan-2000 00:00:00          BROCHURE                1             1
01-Jan-2000 00:00:00          WEBSITE                 1             1
01-Jan-2000 00:00:00          DIRECT_MAIL             3             2
01-Jan-2000 00:00:00          PRESS_RELEASE           4             3
01-Jan-2000 00:00:00          JOURNAL_AD              5             4
01-Jan-1999 00:00:00          BROCHURE                1             1
01-Jan-1999 00:00:00          WEBSITE                 1             1
01-Jan-1999 00:00:00          DIRECT_MAIL             3             2
01-Jan-1999 00:00:00          PRESS_RELEASE           4             3
01-Jan-1999 00:00:00          JOURNAL_AD              4             3
01-Jan-1998 00:00:00          BROCHURE                1             1
01-Jan-1998 00:00:00          WEBSITE                 1             1
01-Jan-1998 00:00:00          JOURNAL_AD              3             2
01-Jan-1998 00:00:00          DIRECT_MAIL             4             3
01-Jan-1998 00:00:00          PRESS_RELEASE           4             3
01-Jan-1997 00:00:00          WEBSITE                 1             1
01-Jan-1997 00:00:00          BROCHURE                2             2
01-Jan-1997 00:00:00          JOURNAL_AD              3             3
01-Jan-1997 00:00:00          DIRECT_MAIL             4             4
01-Jan-1997 00:00:00          PRESS_RELEASE           5             5
01-Jan-1996 00:00:00          BROCHURE                1             1
01-Jan-1996 00:00:00          WEBSITE                 2             2
01-Jan-1996 00:00:00          DIRECT_MAIL             3             3
01-Jan-1996 00:00:00          PRESS_RELEASE           4             4
01-Jan-1996 00:00:00          JOURNAL_AD              5             5You can see that in year 2000 there is a tie for first place (ranking #1). The RANK function will name the second highest count 3 (skipping the rank of 2 due to the tie), while the DENSE_RANK function will not skip a ranking.
Now, to filter on the ranking, wrap your query in another in-line view like this - but use which ever ranking function YOUR requirements call for:
SQL>WITH test AS
2 (         SELECT TO_DATE('01/04/1996','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'Y' AS WEBSITE, 'Y' AS DIRECT_MAIL, 'N' AS PRESS_RELEASE, 'N' AS JOURNAL_AD FROM DUAL
3 UNION ALL SELECT TO_DATE('02/04/1996','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'Y' AS WEBSITE, 'N' AS DIRECT_MAIL, 'N' AS PRESS_RELEASE, 'N' AS JOURNAL_AD FROM DUAL
4 UNION ALL SELECT TO_DATE('23/06/1996','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'N' AS WEBSITE, 'Y' AS DIRECT_MAIL, 'Y' AS PRESS_RELEASE, 'N' AS JOURNAL_AD FROM DUAL
5 UNION ALL SELECT TO_DATE('13/09/1996','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'Y' AS WEBSITE, 'N' AS DIRECT_MAIL, 'N' AS PRESS_RELEASE, 'N' AS JOURNAL_AD FROM DUAL
6 UNION ALL SELECT TO_DATE('01/04/1997','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'Y' AS WEBSITE, 'N' AS DIRECT_MAIL, 'N' AS PRESS_RELEASE, 'N' AS JOURNAL_AD FROM DUAL
7 UNION ALL SELECT TO_DATE('02/04/1997','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'Y' AS WEBSITE, 'Y' AS DIRECT_MAIL, 'N' AS PRESS_RELEASE, 'Y' AS JOURNAL_AD FROM DUAL
8 UNION ALL SELECT TO_DATE('23/06/1997','dd/mm/yyyy') AS CDATE, 'N' AS BROCHURE, 'Y' AS WEBSITE, 'N' AS DIRECT_MAIL, 'N' AS PRESS_RELEASE, 'Y' AS JOURNAL_AD FROM DUAL
9 UNION ALL SELECT TO_DATE('13/09/1997','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'Y' AS WEBSITE, 'N' AS DIRECT_MAIL, 'N' AS PRESS_RELEASE, 'N' AS JOURNAL_AD FROM DUAL
10 UNION ALL SELECT TO_DATE('01/04/1998','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'Y' AS WEBSITE, 'Y' AS DIRECT_MAIL, 'N' AS PRESS_RELEASE, 'N' AS JOURNAL_AD FROM DUAL
11 UNION ALL SELECT TO_DATE('02/04/1998','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'N' AS WEBSITE, 'N' AS DIRECT_MAIL, 'Y' AS PRESS_RELEASE, 'N' AS JOURNAL_AD FROM DUAL
12 UNION ALL SELECT TO_DATE('23/06/1998','dd/mm/yyyy') AS CDATE, 'N' AS BROCHURE, 'Y' AS WEBSITE, 'N' AS DIRECT_MAIL, 'N' AS PRESS_RELEASE, 'Y' AS JOURNAL_AD FROM DUAL
13 UNION ALL SELECT TO_DATE('13/09/1998','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'Y' AS WEBSITE, 'N' AS DIRECT_MAIL, 'N' AS PRESS_RELEASE, 'Y' AS JOURNAL_AD FROM DUAL
14 UNION ALL SELECT TO_DATE('01/04/1999','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'Y' AS WEBSITE, 'Y' AS DIRECT_MAIL, 'N' AS PRESS_RELEASE, 'Y' AS JOURNAL_AD FROM DUAL
15 UNION ALL SELECT TO_DATE('02/04/1999','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'N' AS WEBSITE, 'N' AS DIRECT_MAIL, 'Y' AS PRESS_RELEASE, 'N' AS JOURNAL_AD FROM DUAL
16 UNION ALL SELECT TO_DATE('23/06/1999','dd/mm/yyyy') AS CDATE, 'N' AS BROCHURE, 'Y' AS WEBSITE, 'N' AS DIRECT_MAIL, 'N' AS PRESS_RELEASE, 'N' AS JOURNAL_AD FROM DUAL
17 UNION ALL SELECT TO_DATE('13/09/1999','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'Y' AS WEBSITE, 'Y' AS DIRECT_MAIL, 'N' AS PRESS_RELEASE, 'N' AS JOURNAL_AD FROM DUAL
18 UNION ALL SELECT TO_DATE('01/04/2000','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'Y' AS WEBSITE, 'Y' AS DIRECT_MAIL, 'N' AS PRESS_RELEASE, 'Y' AS JOURNAL_AD FROM DUAL
19 UNION ALL SELECT TO_DATE('02/04/2000','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'Y' AS WEBSITE, 'Y' AS DIRECT_MAIL, 'Y' AS PRESS_RELEASE, 'N' AS JOURNAL_AD FROM DUAL
20 UNION ALL SELECT TO_DATE('23/06/2000','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'Y' AS WEBSITE, 'N' AS DIRECT_MAIL, 'N' AS PRESS_RELEASE, 'N' AS JOURNAL_AD FROM DUAL
21 UNION ALL SELECT TO_DATE('13/09/2000','dd/mm/yyyy') AS CDATE, 'Y' AS BROCHURE, 'Y' AS WEBSITE, 'Y' AS DIRECT_MAIL, 'Y' AS PRESS_RELEASE, 'N' AS JOURNAL_AD FROM DUAL
22 )
23 SELECT * FROM (
24      SELECT cyear
25            ,ctype
26            ,RANK()       OVER (PARTITION BY cyear ORDER BY num_media DESC) ranking
27            ,DENSE_RANK() OVER (PARTITION BY cyear ORDER BY num_media DESC) dense_ranking
28      FROM (SELECT TRUNC(CDATE,'Y') CYEAR
29                 ,'BROCHURE' CTYPE, SUM(DECODE(BROCHURE, 'Y', 1, 0)) NUM_MEDIA
30            FROM test
31            GROUP BY TRUNC(CDATE,'Y')
32            UNION ALL
33            SELECT TRUNC(CDATE,'Y') CYEAR
34                 ,'WEBSITE' CTYPE, SUM(DECODE(WEBSITE, 'Y', 1, 0))
35            FROM test
36            GROUP BY TRUNC(CDATE,'Y')
37            UNION ALL
38            SELECT TRUNC(CDATE,'Y') CYEAR
39                 ,'DIRECT_MAIL' CTYPE, SUM(DECODE(DIRECT_MAIL, 'Y', 1, 0))
40            FROM test
41            GROUP BY TRUNC(CDATE,'Y')
42            UNION ALL
43            SELECT TRUNC(CDATE,'Y') CYEAR
44                 ,'PRESS_RELEASE' CTYPE, SUM(DECODE(PRESS_RELEASE, 'Y', 1, 0))
45            FROM test
46            GROUP BY TRUNC(CDATE,'Y')
47            UNION ALL
48            SELECT TRUNC(CDATE,'Y') CYEAR
49                 ,'JOURNAL_AD' CTYPE, SUM(DECODE(JOURNAL_AD, 'Y', 1, 0))
50            FROM test
51            GROUP BY TRUNC(CDATE,'Y')
52           )
53      )
54 where RANKING <= 4
55* order by cyear desc, ranking
56 /
CYEAR                         CTYPE             RANKING DENSE_RANKING
01-Jan-2000 00:00:00          WEBSITE                 1             1
01-Jan-2000 00:00:00          BROCHURE                1             1
01-Jan-2000 00:00:00          DIRECT_MAIL             3             2
01-Jan-2000 00:00:00          PRESS_RELEASE           4             3
01-Jan-1999 00:00:00          BROCHURE                1             1
01-Jan-1999 00:00:00          WEBSITE                 1             1
01-Jan-1999 00:00:00          DIRECT_MAIL             3             2
01-Jan-1999 00:00:00          JOURNAL_AD              4             3
01-Jan-1999 00:00:00          PRESS_RELEASE           4             3
01-Jan-1998 00:00:00          BROCHURE                1             1
01-Jan-1998 00:00:00          WEBSITE                 1             1
01-Jan-1998 00:00:00          JOURNAL_AD              3             2
01-Jan-1998 00:00:00          PRESS_RELEASE           4             3
01-Jan-1998 00:00:00          DIRECT_MAIL             4             3
01-Jan-1997 00:00:00          WEBSITE                 1             1
01-Jan-1997 00:00:00          BROCHURE                2             2
01-Jan-1997 00:00:00          JOURNAL_AD              3             3
01-Jan-1997 00:00:00          DIRECT_MAIL             4             4
01-Jan-1996 00:00:00          BROCHURE                1             1
01-Jan-1996 00:00:00          WEBSITE                 2             2
01-Jan-1996 00:00:00          DIRECT_MAIL             3             3
01-Jan-1996 00:00:00          PRESS_RELEASE           4             4

Please help to generate the table from column to rows

Hello -
I have one table with more than 100 columns there are 70 column start with HC1.....HC70 (they are not in sequence) and has some value 0 or 1
Table structure:
HICN_ID HC1 HC2 HC4 HC5 HC6.................................HC70
1234A 0 1 1 0 1 1
3456D 1 0 0 1 0 0
Now What i want is like this..
HICN_ID HC
1234A 2
1234A 4
1234A 6
3456D 1
3456D 5
Can you please help me on this
thanks
nick

Please look at the same scenario from the below link.
You can accomplish this by a "pivot" query. Please look at the small testcase that I prepared below:
SQL> desc t1
Name Null? Type
NAME VARCHAR2(10)
YEAR NUMBER(4)
VALUE NUMBER(4)
SQL>
SQL> select * from t1;
NAME YEAR VALUE
john 1991 1000
john 1992 2000
john 1993 3000
jack 1991 1500
jack 1992 1200
jack 1993 1340
mary 1991 1250
mary 1992 2323
mary 1993 8700
9 rows selected.
SQL> -- now, try out the pivot query
SQL> select year,
2 max( decode( name, 'john', value, null ) ) "JOHN",
3 max( decode( name, 'jack', value, null ) ) "JACK",
4 max( decode( name, 'mary', value, null ) ) "MARY"
5 from
6 (
7 select name, year, value
8 from t1
9 )
10 group by year ;
YEAR JOHN JACK MARY
1991 1000 1500 1250
1992 2000 1200 2323
1993 3000 1340 8700
SQL>
Hope that helps.
Source : http://p2p.wrox.com/oracle/11931-sql-query-convert-columns-into-rows.html
Thanks,
Balaji K.

How to Create a Dynamic Crosstab Query?

Hi friends,
I have a table like:
DateOfSale SalesPerson SalesAmount
Which may have
any number of sales' staff (old/new workers) who have sold goods on different dates which may range at
any length of time.
Any suggestion for an appropriate query / method to derive a crosstab / pivot result as
SalesPerson Year1 Year2 Year3
With field SalesPerson representing
each of the staff member and all the amounts added
in terms of years, whatever the range may exist in time, instead of providing names and years in a hard-coded manner?
Looking forward for your expert advices.
Thanx in advance.
Best Regards, Faraz A Qureshi

like this
;With CTE
AS
SELECT ROW_NUMBER() OVER (PARTITION BY SalesPerson ORDER BY DATEDIFF(yy,0,DateOfSale)) AS Seq,
DATEADD(yy,DATEDIFF(yy,0,DateOfSale),0) AS YrDate,
SalesPerson,
SUM(SalesAmount) AS SalesAmount
FROM Table
GROUP BY DATEDIFF(yy,0,DateOfSale),SalesPerson
SELECT SalesPerson,
[1] AS Year1,
[2] AS Year2,
[3] AS Year3,
[4] AS Year4
FROM CTE
PIVOT (MAX(SalesAmount) FOR Seq IN ([1],[2],[3],[4]))p
if you want to make this dynamic see
http://beyondrelational.com/modules/2/blogs/70/posts/10840/dynamic-pivot-in-sql-server-2005.aspx
Please Mark This As Answer if it helps to solve the issue Visakh ---------------------------- http://visakhm.blogspot.com/ https://www.facebook.com/VmBlogs

A query in AdventureWorks2012

Hi,
i have faced with a problem when i was working on a query in AddentureWorks2012 db
the query is as a follow :
show the name of product next to its sum(OrderQty) in each years
LIKE:      Year          |    Name   | Quantity
              2005                 x1            90
              2005                 x2            120
             2006                 x1
100
             2006                 x2
40
that would be your kindness, if you answer my question; Thanks

Sounds like this to me
SELECT Name,[1],[2],[3],[4],[5],..
FROM (
SELECT ROW_NUMBER OVER (PARTITION BY Name ORDER BY Year) AS Seq,Name,Year,Quantity
FROM Table
)t
PIVOT (SUM(Quantity) FOR Seq IN ([1],[2],[3],[4],..))p
If you want to make it dynamic based on available years
see
http://sqlblogcasts.com/blogs/madhivanan/archive/2008/08/27/dynamic-pivot-in-sql-server-2005.aspx
Please Mark This As Answer if it solved your issue
Please Mark This As Helpful if it helps to solve your issue
Visakh
My MSDN Page
My Personal Blog
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Select with transposition and join

Hi Guys!
I'm using Oracle 9i and I'm facing the following problem:
My table looks like this:
Stripe
Unit
Value
1
1
a1
1
2
a2
1
3
a3
2
1
b1
2
2
b2
2
3
b3
2
4
b4
4
1
c1
4
2
c2
4
3
c3
4
4
c4
4
5
c5
My result should look like this:
Unit
Stripe1 Value
Stripe2 Value
Stripe3 Value
Stripe4 Value
1
a1
b1
c1
2
a2
b2
c2
3
a3
b3
c3
4
b4
c4
5
c5
I tried it with one select for each stripe and full joins, but in this example I would only see the first 3 units....
Any ideas?

Another way, but only if your on database version 11gR1 and onwards, is to use the PIVOT operator:
SQL> -- generating sample date:
SQL> with t as (
2 select 1 stripe, 1 unit, 'a1' value from dual union
3 select 1, 2, 'a2' from dual union
4 select 1, 3, 'a3' from dual union
5 select 2, 1, 'b1' from dual union
6 select 2, 2, 'b2' from dual union
7 select 2, 3, 'b3' from dual union
8 select 2, 4, 'b4' from dual union
9 select 4, 1, 'c1' from dual union
10 select 4, 2, 'c2' from dual union
11 select 4, 3, 'c3' from dual union
12 select 4, 4, 'c4' from dual union
13 select 4, 5, 'c5' from dual
14 )
15 --
16 -- actual query:
17 --
18 select *
19 from ( select unit
20         ,      stripe
21         ,      value
22         from   t
23       )
24 pivot (max(value) for (stripe) in ( 1 as stripe1value
25                                    , 2 as stripe2value
26                                    , 3 as stripe3value
27                                    , 4 as stripe4value
28                                    )
29        )
30 order by unit;
      UNIT ST ST ST ST
         1 a1 b1    c1
         2 a2 b2    c2
         3 a3 b3    c3
         4    b4    c4
         5          c5
5 rows selected.
ORACLE-BASE - PIVOT and UNPIVOT Operators in Oracle Database 11g Release 1

How to convert data from rows into columns

Hi,
I have a sql table and the data looks like this
GLYEAR GLMN01 GLMN02 GLMN03 GLMN04
2007 -109712.40 6909.15 4758.72 56.88
2007 -13411.32 19132.9 -5585.07 4362.64
Where GLyear reprsents Year and GLMN01 is February, GLMN02 is March and so on,
Now i want my output to be something like this which i want to insert into another table
GLYear GLMonth GLAmount
2007 February -109712.40
2007 March 6909.15
2007 April 56.88
My new table has 3 columns, GLYear,GLMonth,GLAmount.
Can someone please help me with the select statement on how to do this, i can work with the inserts.
Thanks.

I want you to check these form tread they have the same discussion as you. They will definitely solve your problem
http://blog.jontav.com/post/8344518585/convert-rows-to-columns-columns-to-rows-in-sql-server
http://dba.stackexchange.com/questions/19057/convert-rows-to-columns-using-pivot-in-sql-server-when-columns-are-string-data
http://stackoverflow.com/questions/18612326/how-to-convert-multiple-row-data-into-column-data-in-sql-server
I hope this helps you in solving your problem.
Please remember to click “Mark as Answer” on the post that has answered your question as it is very relevant to other community members dealing with same problem in seeking the right answer

Pivot in SQL

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