Pivot with Month and Year

Question

Hi all Thanks in Advance
I need help in Pivoting Data
SELECT ID,MONTH,COUNT FROM TABLE_PIVOT ORDER BY ID,MONTH
ID     MONTH          COUNT
10     10/01/2009     60
10     11/01/2009     80
10     12/01/2009     78
10     01/01/2010     81
10     02/01/2010     73
10     03/01/2010     84
10     04/01/2010     100
10     05/01/2010     107
10     06/01/2010     90
10     07/01/2010     0
10     08/01/2010     0
10     09/01/2010     73
20     10/01/2010     71
20     11/01/2010     76
20     12/01/2010     79
20     01/01/2011     79
20     02/01/2011     81
20     03/01/2011     88
20     04/01/2011     97
20     05/01/2011     87
20     06/01/2011     97I tried to pivot with below query
SELECT ID,
SUM(DECODE(to_char(month,'MM'),'01',count,0)) " Jan",
SUM(DECODE(to_char(month,'MMYY'),'02',count,0)) Feb,
SUM(DECODE(to_char(month,'MM'),'03',count,0)) Mar,
SUM(DECODE(to_char(month,'MM'),'04',count,0)) Apr,
SUM(DECODE(to_char(month,'MM'),'05',count,0)) May,
SUM(DECODE(to_char(month,'MM'),'06',count,0)) June,
SUM(DECODE(to_char(month,'MM'),'07',count,0)) July,
SUM(DECODE(to_char(month,'MM'),'08',count,0)) August,
SUM(DECODE(to_char(month,'MM'),'09',count,0)) September,
SUM(DECODE(to_char(month,'MM'),'10',count,0)) October,
SUM(DECODE(to_char(month,'MM'),'11',count,0)) November,
SUM(DECODE(to_char(MONTH,'MM'),'12',count,0)) December
FROM Table_PIVOT
GROUP BY ID
ORDER BY ID
ID      Jan     FEB     MAR     APR     MAY     JUNE     JULY     AUGUST     SEPTEMBER     OCTOBER     NOVEMBER     DECEMBER
10      81     0     84     100     107     90     0     0          73          60          80          78
20      79     0     88     97     87     97     0     0          0          71          76          79I want output to display the column names with Month and Year like below
ID     Oct-2009     Nov-2009     Dec-2009   Jan-2010  Feb-2010 ................... OCT-2010  NOV-2010 DEC-2010 JAN-2011 FEB-2011 ......
10     60          80          78          81          73     ...................
20                                                                    71           76          79     79          81
CREATE TABLE "TABLE_PIVOT"
   (     "ID" NUMBER,
     "MONTH" DATE,
     "COUNT" NUMBER
Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (10,to_timestamp('10/01/2009','MM/DD/YYYY'),60);
Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (10,to_timestamp('11/01/2009','MM/DD/YYYY'),80);
Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (10,to_timestamp('12/01/2009','MM/DD/YYYY'),78);
Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (10,to_timestamp('01/01/2010','MM/DD/YYYY'),81);
Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (10,to_timestamp('02/01/2010','MM/DD/YYYY'),73);
Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (10,to_timestamp('03/01/2010','MM/DD/YYYY'),84);
Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (10,to_timestamp('04/01/2010','MM/DD/YYYY'),100);
Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (10,to_timestamp('05/01/2010','MM/DD/YYYY'),107);
Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (10,to_timestamp('06/01/2010','MM/DD/YYYY'),90);
Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (10,to_timestamp('07/01/2010','MM/DD/YYYY'),0);
Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (10,to_timestamp('08/01/2010','MM/DD/YYYY'),0);
Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (10,to_timestamp('09/01/2010','MM/DD/YYYY'),73);
Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (20,to_timestamp('10/01/2010','MM/DD/YYYY'),71);
Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (20,to_timestamp('11/01/2010','MM/DD/YYYY'),76);
Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (20,to_timestamp('12/01/2010','MM/DD/YYYY'),79);
Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (20,to_timestamp('01/01/2011','MM/DD/YYYY'),79);
Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (20,to_timestamp('02/01/2011','MM/DD/YYYY'),81);
Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (20,to_timestamp('03/01/2011','MM/DD/YYYY'),88);
Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (20,to_timestamp('04/01/2011','MM/DD/YYYY'),97);
Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (20,to_timestamp('05/01/2011','MM/DD/YYYY'),87);
Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (20,to_timestamp('06/01/2011','MM/DD/YYYY'),97);
COMMIT;

Answer 1

Hi,
user1849 wrote:
Any Sample code is appreciated
I didn't see any solution for following one in your linklI think Centinul was specifically referring to:
Help for a query to add columns
but other links from
SQL and PL/SQL FAQ
may help you more.
>
Re: How to pipeline a function with a dynamic number of columns?
Posted: May 9, 2006 2:58 PM in response to: Billy Verreynne Reply
Interesting stuff! It's going to take me awhile to digest it.
For what it's worth, I was trying to build a pivoting function that would take a MYTABLE table like this:
YEAR CITY X Y
2000 BAL 95 96
2000 BOS 101 101
2001 BAL 92 94
2001 BOS 101 101
2002 BAL 98 98
2002 BOS 98 99
2003 BAL 95 96
2003 BOS 105 104
and allow me to do something like:
CREATE VIEW MYPIVOT
AS
SELECT *
FROM TABLE (PIVOT(MYTABLE, [with other params]))
and get the following view MYPIVOT on the table:
YEAR BOS_X BOS_Y BAL_X BAL_Y
2000 101 101 95 96
2001 101 101 92 94
2002 98 99 98 98
2003 105 104 95 96
Where the number of distinct CITY values will vary over time. I am able to build the query I need dynamically, but since the CITY data values in the original table change, the columns are not necessarily static from invocation to invocation. Therefore I didn't want to just create a view using the dynamic SQL once, because it may need to be created next time I need to access the view. I wanted to be able to access the pivoted data on demand.A pipelined function is your best bet for that.
I couldn't do was be able to execute the query and treat it as a pipelined function, hence my original question.Sorry, I don't understand.
I'll dig into the code above to see if it does what I wanted, but if someone has a better suggestion on how to approach this, I'd be interested in hearing it.A completely different approach is String Aggregation , where you would get output like this:
YEAR  TXT
        BOS_X    BOS_Y    BAL_X    BAL_Y
2000      101      101       95       96
2001      101      101       92       94
2002       98       99       98       98
2003      105      104       95       96Note that this output contains 6 rows and 2 columns. On the first row, year is NULL and txt='  BOS_X    BOS_Y    BAL_X    BAL_Y'. You can do this is pure, static SQL, without knowing the number of cities in advance.