Unpivot multiple rows into columns

Hello again. I'm still learning the pivot and unpivot in mssql. Really fresh at it. I learned a few things and was able to create the query I needed.
SELECT dbo.RiverRoadUNPIVOT.Date, dbo.RiverRoadUNPIVOT.Piezometer, dbo.RiverRoadUNPIVOT.Unites, dbo.TOC.TOC,
dbo.TOC.TOC - dbo.RiverRoadUNPIVOT.Unites AS Adjusted, dbo.ReservoirLevel.ReservoirLevel
FROM dbo.TOC INNER JOIN
dbo.RiverRoadUNPIVOT ON dbo.TOC.Piezometer = dbo.RiverRoadUNPIVOT.Piezometer INNER JOIN
dbo.ReservoirLevel ON dbo.RiverRoadUNPIVOT.Date = dbo.ReservoirLevel.Date
I'm trying to figure out how to now take the Piezometer column and convert its results into columns.
'AC-1', 'AM-1', 'AM-1E', 'AM-1W', 'AM-2', 'AT-1', 'BT-1', 'CC-1', 'CM-1', 'CM-2', 'CT-1', 'CT-2', 'DC-1', 'DM-1', 'DM-2', 'DT-1', 'DT-2', 'ET-1', 'FT-1', 'GC-1', 'GM-1', 'GM-2', 'GT-1', 'GT-2', 'HT-1', 'IC-1', 'IM-1', 'IM-2', 'IT-1', 'JT-1', 'KC-1', 'KM-1',
'KM-2', 'KT-1', 'LT-1', 'MT-1', 'NT-1', 'OC-1', 'OM-1', 'OM-2', 'OT-1', 'OT-2', 'PC-1', 'PM-1', 'PM-2', 'PT-1', 'KT-2'
Thank you all very much for the help. You all rock!

SELECT P.[Date],Max(P.[AC-1] as [AC-1], MAX(P.[AM-1] as [AM-1],Max(.....--other part of your queryGroup by P.[Date]

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I am trying to convert data from multiple rows into multiple columns. Let me see if I can paint the picture for you.
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17                 account,
18                 row_number() over (partition by company, name order by 1) as rn
19            from t)
20   group by company, name;
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3 rows selected.
test@XE>
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Thanks

Hi,
That's called Pivoting . The forum FAQ has a section on this subject: {message:id=9360005}
I hope this answers your question.
If not, post your best attempt, along with a little sample data (CREATE TABLE and INSERT statements, relevant columns only), and also post the results you want from that data. (You did post the results you wanted, but they're very hard to read because they're not formatted. Use \ tags, as described in the forum FAQ, below.)
Explain, using specific examples, how you get the results you want from the data given.
Always say which version of Oracle you're using (e.g., 11.2.0.2.0). This is always important, but especially so with pivots.
See the forum FAQ {message:id=9360002}

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Qwerty wrote:
see below for rows to column case
SQL> WITH t as
2      (
3       SELECT 'US' test_string FROM DUAL UNION
4       SELECT 'AMERICA' FROM DUAL UNION
5       SELECT'HOLLYWOOD' FROM DUAL UNION
6       SELECT 'WASHINGTON' FROM DUAL
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10     SELECT row_number() over(order by test_string) rno, test_string
11       FROM t)
12       WHERE connect_by_isleaf = 1 and rownum=1
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TEST_STRING
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Rows to columns (or pivot) is more like:
SQL> ed
Wrote file afiedt.buf
1 WITH t as
2       (
3        SELECT 'US' test_string FROM DUAL UNION
4        SELECT 'AMERICA' FROM DUAL UNION
5        SELECT'HOLLYWOOD' FROM DUAL UNION
6        SELECT 'WASHINGTON' FROM DUAL
7       )
8 --
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12        ,max(decode(rn,4,test_string)) as col_4
13* from (select test_string, row_number() over (order by test_string) as rn from t)
SQL> /
COL_1      COL_2      COL_3      COL_4
AMERICA    HOLLYWOOD US         WASHINGTON
SQL>And columns to rows (or unpivot) is like:
SQL> ed
Wrote file afiedt.buf
1 WITH t as
2       (
3        SELECT 'US' col_1, 'AMERICA' col_2, 'HOLLYWOOD' col_3, 'WASHINGTON' col_4 FROM DUAL
4       )
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6 select col_1 as col from t union all
7 select col_2 from t union all
8 select col_3 from t union all
9* select col_4 from t
SQL> /
COL
US
AMERICA
HOLLYWOOD
WASHINGTONor...
SQL> ed
Wrote file afiedt.buf
1 WITH t as
2       (
3        SELECT 'US' col_1, 'AMERICA' col_2, 'HOLLYWOOD' col_3, 'WASHINGTON' col_4 FROM DUAL
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6 select decode(rownum,1,col_1,2,col_2,3,col_3,4,col_4) as col
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SQL> /
COL
US
AMERICA
HOLLYWOOD
WASHINGTON
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Pivoting rows into columns in Oracle 10g

Hi,
I want to pivot rows into column in some optimal way.
I don't want to go with the DECODE option as the number of columns can be more than 200.
i have also tried the transpose logic which is making the pl/sql block too huge.
can i directly query the database for the desired output instead of storing the data into some arrays and displaying rows as columns?

Hi,
Here's a dynamic way to do this is Oracle 10, using theSQL*Plus @ command to handle the dynamic parts.
First, let's see how we would do this using a static query:
WITH     col_cntr    AS
     SELECT     column_name
     FROM     all_tab_columns
     WHERE     owner          = 'FKULASH'
     AND     table_name     = 'TEST_EMP'
     AND     column_name     NOT IN ('EMP_ID', 'TYPE_VAL')
,     unpivoted_data     AS
     SELECT     e.type_val
     ,     c.column_name
     ,     CASE c.column_name
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              WHEN 'Y_AMT' THEN y_amt     -- ***** Dynamic section 1 *****
              WHEN 'Z_AMT' THEN z_amt     -- ***** Dynamic section 1 *****
          END     AS v
     FROM          test_emp e
     CROSS JOIN     col_cntr c
SELECT       column_name     AS type_val
,       SUM (CASE WHEN type_val = 'Q1' THEN v ELSE 0 END)     AS q1     -- ***** Dynamic section 2 *****
,       SUM (CASE WHEN type_val = 'Q2' THEN v ELSE 0 END)     AS q2     -- ***** Dynamic section 2 *****
,       SUM (CASE WHEN type_val = 'Q3' THEN v ELSE 0 END)     AS q3     -- ***** Dynamic section 2 *****
,       SUM (CASE WHEN type_val = 'Q4' THEN v ELSE 0 END)     AS q4     -- ***** Dynamic section 2 *****
FROM       unpivoted_data
GROUP BY column_name
ORDER BY column_name
;Column names are hard-coded in two places:
(1) in the sub-query unpivoted_data, we had to know that there were 3 columns to be unpivoted, and that they were called x_amt, y_amt and z_amt. You want to derive all of that from all_tab_columns.
(2) in the main query, we had to know that there would be 4 pivoted columns in the rsult set, and that they would be called q1, q2, q3 and q4. You want to derive all that from the data actually in test_emp.
Instead of hard-coding those 2 dynamic sections, have Preliminary Queries write them for you, a split second before you run the main query, by running this script:
-- Before writing sub-scripts, turn off features designed for human readers
SET     FEEDBACK    OFF
SET     PAGESIZE    0
PROMPT ***** Preliminary Query 1 *****
SPOOL     c:\temp\sub_script_1.sql
SELECT    '              WHEN '''
||       column_name
||       ''' THEN '
||       LOWER (column_name)     AS txt
FROM       all_tab_columns
WHERE       owner          = 'FKULASH'
AND       table_name     = 'TEST_EMP'
AND       column_name     NOT IN ('EMP_ID', 'TYPE_VAL')
ORDER BY column_name
SPOOL     OFF
PROMPT     ***** Preliminary Query 2 *****
SPOOL     c:\temp\sub_script_2.sql
SELECT DISTINCT ',       SUM (CASE WHEN type_val = '''
||                type_val
||           ''' THEN v ELSE 0 END)     AS '
||           LOWER (type_val)         AS txt
FROM           test_emp
ORDER BY      txt
SPOOL     OFF
-- After writing sub-scripts, turn on features designed for human readers
SET     FEEDBACK    5
SET     PAGESIZE    50
-- Main Query:
WITH     col_cntr    AS
     SELECT     column_name
     FROM     all_tab_columns
     WHERE     owner          = 'FKULASH'
     AND     table_name     = 'TEST_EMP'
     AND     column_name     NOT IN ('EMP_ID', 'TYPE_VAL')
,     unpivoted_data     AS
     SELECT     e.type_val
     ,     c.column_name
     ,     CASE c.column_name
              @c:\temp\sub_script_1
          END     AS v
     FROM          test_emp e
     CROSS JOIN     col_cntr c
SELECT       column_name     AS type_val
@c:\temp\sub_script_2
FROM       unpivoted_data
GROUP BY column_name
ORDER BY column_name
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As others have said, the fact that you're asking this question hints at a poor table design. Perhaps the table should be permanently stored in a form pretty much like unpivoted_data, above. When you need to display it with columns x_amt, y_amt, ..., then pivot it, using GROUP BY type_col. When you need to display it with columns q1, q2, ..., then pivot it using GROUP BY column_name.

Coverting a Row into Columns values

Hi SQL Expert Friends,
I have a row which contains 6 columns where I want that data to be shown in the form of columns as shown here:
From:
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ITEM1 ITEM2 ITEM3 AMT1 AMT2 AMT3
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Now I want that data to convert into columns as shown here:
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I found one query which converts a row into columns, but this does not serve my requirement: [for your reference only]
SQL> select substr( the_string
, decode( level, 1, 1, instr(the_string,',',1,level-1)+1)
, decode( instr(the_string,',',1,level), 0, length(the_string), instr(the_string,',',1,level) - decode( level, 1, 0, instr(the_string,',',1,level-1))-1)
) the_value
from ( select (select item1||','||item2||','|| item3 from item_table where sno=1) ITEMS
from DUAL)
connect by level <= length(the_string)-length(replace(the_string,','))+1
Thanks and REgards,
Kiran

Hi, Kirtan,
kiran wrote:
... I want to learn this query, If you could explain me this how it works, then it will definitely helps me.If you don't understand a query that involves sub-queries, make sure you understand the sub-queries first. Run them separately, and study the results.
In this case, the only sub-query is cntr. Run it separately, like this:
WITH     cntr     AS
     SELECT     LEVEL     AS n
     FROM     dual
     CONNECT BY     LEVEL     <= 3
SELECT    *
FROM       cntr;Output:
`        N
         1
         2
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Once you understand the sub-queries, try running the main query. Include the raw values of all columns that play any part in the output. For example:
WITH     cntr     AS
     SELECT     LEVEL     AS n
     FROM     dual
     CONNECT BY     LEVEL     <= 3
SELECT       CASE cn.n
           WHEN 1 THEN co.city1
           WHEN 2 THEN co.city2
           WHEN 3 THEN co.city3
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           WHEN 2 THEN co.population2
           WHEN 3 THEN co.population3
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,       cn.*          -- For testing/understanding only
FROM             continent     co
CROSS JOIN     cntr          cn
WHERE     co.country     = 'America'
;Output:
`            POPUL                                       POPUL POPUL POPUL
CITIES       ATION COUNTRY CITY1   CITY2       CITY3   ATION1 ATION2 ATION3 N
Phoenix      20000 America Phoenix Los Angeles Chicago 20000 15000 10000 1
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Hi All,
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You could use SQL*Loader to load the data into a staging table with a varray column, then use a SQL insert statement to distribute it to the destination table, as demonstrated below.
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1,"1001,2001,3001,4001"
2,"1002,2002,3002,4002"
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( field1
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4 /
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SQL*Loader: Release 11.2.0.1.0 - Production on Wed Dec 18 21:48:09 2013
Copyright (c) 1982, 2009, Oracle and/or its affiliates. All rights reserved.
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2 /
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Hi,
I have a table service_request_master where a column has data like
Srid function_activity_id
1001 12,13,14
1002 11,12
1003 null
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I need to convert function_activity_ids for each row into columns i.e.
for 1001 it would be 12
13
14
for 1002 11
12
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I wrote this query but it is not workig for multiple rows:
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a generic function would also do...
Thx,..
JP

JP,
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SQL> create table service_request_master
2 as
3 select 1001 srid, '12,13,14' function_activity_id from dual union all
4 select 1002, '11,12' from dual union all
5 select 1003, null from dual union all
6 select 1004, '19' from dual;
Tabel is aangemaakt.
SQL>
SQL> select srm.srid
2       , case numbers.n
3         when 1 then
4              case instr(srm.function_activity_id,',',1,1)
5              when 0 then srm.function_activity_id
6              else substr(srm.function_activity_id,1,instr(srm.function_activity_id,',',1,1)-1)
7              end
8         else substr
9              ( srm.function_activity_id
10              , 1 + instr(srm.function_activity_id,',',1,numbers.n-1)
11              , case instr(srm.function_activity_id,',',1,numbers.n)
12                when 0 then length(srm.function_activity_id)
13                            - instr(srm.function_activity_id,',',1,numbers.n-1) + 1
14                else instr(srm.function_activity_id,',',1,numbers.n)
15                     - instr(srm.function_activity_id,',',1,numbers.n-1) - 1
16                end
17              )
18         end single_id
19    from service_request_master srm
20       , ( select level n from dual connect by level <= 3 ) numbers
21   where length(srm.function_activity_id) - length(replace(srm.function_activity_id,',')) + 1
22         >= numbers.n
23   order by srm.srid
24       , single_id
25 /
                                  SRID SINGLE_I
                                  1001 12
                                  1001 13
                                  1001 14
                                  1002 11
                                  1002 12
                                  1004 19
6 rijen zijn geselecteerd.Regards,
Rob.

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Here is a screen shot of what I have now:
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Hope this helps.
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Hi friends,
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Hello
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without Control
with Control depressed
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Hi
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My Query is:
WITH t
AS ( SELECT 'A' AS x, 100 AS y FROM DUAL
UNION ALL
SELECT 'B',200 FROM DUAL
SELECT X, Y
FROM t;
X Y
A 100
B 200
My Requirement is
A B
100 200
So any one could help me that how I resolve this.
Regards,
Prasanta

Dear frank,
Thanks for your support,.
It's working fine for static cases.If the first column is dynamic then how come i will resolve it.
Example:
Create table mytab (ID_C Varchar2(15),Value_N Number);
Records Population into MyTab table is dynamic.
Insert into mytab values('HO',5000);
Insert Into mytab values('PG1',2400);
Insert Into mytab values('PG2',3000);
Insert Into mytab values('PG3',800);
Commit;
SQL> Select * From MyTab;
IDC_ ValueN_
HO 5000
PG1 2400
PG2 3000
PG3 800
Then My expected result will be as follows
HO PG1 PG2 PG3
5000 2400 3000 800
Thanks and Regards,
Prasanta

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