Oracle 11 Pivot Query

Hi,
I have 2 questions on the pivot query below:
1 - I want to have total by Country and Year
2 - I want to allow the use a dynamic year range (like year between 1990 and 2000)
Thanks,
Ribhi
select * from (
select CNTRY_NAME, MYYEAR,AM_AMOUNT
from yearly_lending t
pivot
sum(AM_AMOUNT)
for MYYEAR in (1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009)
order by CNTRY_NAME

Hi all,
Thank you for your help.
The qury working as expected, but i wont to add total by country and year
Country 1974 1975 1976 1977 1977 1978...2009 Total
Jordan 10 5 0 3 5 1 24
Egypt 5 0 0 0 10 0 15
Syria 8 2 10 20
Total 23 7 0 3 15 11 59
also would like to select year range rather than entering year by year example year from 2000 to year 2009
I created a view from the qury below and then my pivot query
select
rtrim(cntry.short_name_e) cntry_name,
to_char(e.date0,'yyyy') myYear,
am.value / 1000000 am_amount,
a.fk_countrycode a_cntry
from event e,
agreement_amount am,
agreement a, in_country cntry
where
a.number0 = e.fk_agreementnumber
AND A.SUB_NUMBER <>'P'
AND a.fk_countrycode = cntry.intl_code
and a.sub_number = e.fk_agreementsub_nu
and a.type = e.fk_agreementtype
/*and rtrim(a.status) <> 'CANCELLED' */
and rtrim(e.type) = 'SIGNING'
and rtrim(e.fk_agreementtype) <> 'GRANT'
and e.fk_agreementnumber = am.fk_agreementnumber
and e.fk_agreementsub_nu = am.fk_agreementsub_nu
and e.fk_agreementtype = am.fk_agreementtype
and am.serial_number = 1
order by rtrim(cntry.short_name_e) ,to_char(e.date0,'yyyy')
Best regards,
Ribhi
Edited by: Ribhi on Apr 29, 2009 7:20 PM

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    PeriodNumber int NULL,
    PeriodData decimal(18, 6) NULL,
    Column1 varchar(50) NULL,
    Column2 varchar(50) NULL,
    Column3 varchar(50) NULL,
    Column4 varchar(50) NULL,
    Column5 int NULL,
    Column6 varchar(25) NULL,
    Column7 int NULL,
    Column8 int NULL,
    Column9 varchar(50) NULL,
    Column10 varchar(50) NULL,
    Column11 varchar(50) NULL,
    Column12 int NULL,
    RowNumber int NULL
    GO
    WITH cte as (
    SELECT
    DateKey ,
    VersionNumber ,
    SetID ,
    ClassID ,
    VariableName ,
    PeriodNumber ,
    PeriodData
    from StagingTable
    SELECT
    DateKey ,
    VersionNumber ,
    SetID ,
    ClassID ,
    VariableName,
    [0], [1], [2], [3], ,,,, [360]
    from cte
    pivot (SUM(PeriodData)
    FOR PeriodNumber IN (
    [0], [1], [2], [3], ..., [360]
    ) as pvt;
    CREATE UNIQUE NONCLUSTERED INDEX IX_StagingTable ON dbo.StagingTable
    DateKey,
    VersionNumber,
    SetId,
    ClassID,
    VariableName,
    PeriodNumber
    INCLUDE ([PeriodData])
    I have about 5 million rows in StageTable and the pivot query returns 32,000 rows.  It takes about 3 and a half minutes to run this query, whether I am outputting the results to the results window in SSMS or selecting into a new table.
    I checked the execution plan for this query (outputting to results window) and the only operation that takes any time is the non-clustered index scan (84% with Stream aggregate showing 14%).
    Here are the things I compared this to.  I ran a select from this table using just the columns in the index. The results returned in less than one minute and as expected the most expensive operation (100%) was the non-clustered index scan. 
    By the way, a select into returned almost immediately.
    If I take the pivot results (after a select into) and create a new table by select into, it takes almost no time for the query to finish.
    I did an estimated execution plan on these three queries (where PivotTable is a dump of the pivot query into a heap):
    WITH cte as (
    SELECT
    DateKey ,
    VersionNumber ,
    SetID ,
    ClassID ,
    VariableName ,
    PeriodNumber ,
    PeriodData
    from StagingTable
    SELECT
    DateKey ,
    VersionNumber ,
    SetID ,
    ClassID ,
    VariableName,
    [0], [1], [2], [3], ,,,, [360]
    from cte
    pivot (SUM(PeriodData)
    FOR PeriodNumber IN (
    [0], [1], [2], [3], ..., [360]
    ) as pvt;
    SELECT * from PivotTable;
    SELECT
    DateKey ,
    VersionNumber ,
    SetID ,
    ClassID ,
    VariableName ,
    PeriodNumber ,
    PeriodData
    from StagingTable;
    The first query (pivot query) had a cost of 41%, the second 25% (select pivottable) and the third 34% (select base table).  These are nowhere close to the ratios of the amount of time that it takes to run these queries (pivot query 3.5 minutes,
    select  PivotTable 5 seconds and select base table almost one minute).
    For the following:
    WITH cte as (
    SELECT
    DateKey ,
    VersionNumber ,
    SetID ,
    ClassID ,
    VariableName ,
    PeriodNumber ,
    PeriodData
    from StagingTable
    SELECT
    DateKey ,
    VersionNumber ,
    SetID ,
    ClassID ,
    VariableName,
    [0], [1], [2], [3], ,,,, [360]
    into newTable1
    from cte
    pivot (SUM(PeriodData)
    FOR PeriodNumber IN (
    [0], [1], [2], [3], ..., [360]
    ) as pvt;
    SELECT *
    into newTable2
    from PivotTable;
    SELECT
    DateKey ,
    VersionNumber ,
    SetID ,
    ClassID ,
    VariableName ,
    PeriodNumber ,
    PeriodData
    into newTable3
    from StagingTable;
    The distribution of query cost is strikingly different.  The pivot query has a cost of 98% and the other two queries have costs of 1%.  The big difference between these queries and the versions that just output the results (in the execution plan)
    is in the table insert.  The pivot query shows a cost of 26,000 while the select from pivottable shows cost of 160 and select from StagingTable shows cost of 280.
    What else can I look at?  Also, what else can I try to optimize the pivot query.
    For now, I am going to see if I get better performance letting SSRS do the pivoting.
    Russel Loski, MCT, MCSE Data Platform/Business Intelligence. Twitter: @sqlmovers; blog: www.sqlmovers.com

    I have finally nailed down what is causing the bottleneck.
    The Compute Scalar step for some reason shows almost no cost to the execution plan.  But I noticed that the actual number of rows is 5 million (the same as the scan).  It appears that SQL Server expands every row to 360+ columns, all 5 million
    of them.
    So I did an experiment.  I took the table that I was populating and did a cross join to a number table.  This table has 30 K rows and 360 columns.  I figured that if I select 150 rows from the number table it will generate around 5 million
    rows.  The results were almost identical to using the MAX(CASE WHEN ...) construct:  1 minute and some change.
    I then cross joined with only 75 rows.  It took 30 seconds.  37 rows took about 15 seconds.
    So the Compute Scalar costs a lot more then the Execution plan analyzer says.
    SSIS appears to gather one row at a time.  Once it finishes one row, one group by set, it sends the row on its way.  So, in my case, the 5 million rows is read in with 7 columns and 30 K rows are output with 365 columns or so.
    SQL Server creates 5 million rows with 365 columns, then aggregates them down to 30 K rows.
    Thank you, Tom for you discussion with me on this.  I think that I can present my thoughts to my lead.
    Russel Loski, MCT, MCSE Data Platform/Business Intelligence. Twitter: @sqlmovers; blog: www.sqlmovers.com

  • Power Pivot Bug: Can't Save Edits to Power Pivot Query without checking Teradata Connection's "Save my password" Option

    Can't edit and re-Save Power Pivot query with Teradata connection (using LDAP security mechanism) unless "Save my password" option was checked.  Without this option I receive this error upon attempt to Save changes made to the query ...
    The following exception occurred while the managed IDbConnection interface was being used: [TeraGSS Security Library] [115022] Exception occurred in TERAGSS layer.  See inner exception for details.;TdgssAuthenticationTokenExchange delegate threw an exception.
     See the inner exception for details.
    ErrorCode: -452984642 Severity: Error Facility: DotNet
    [Teradata Database] [8017] The UserId, Password or Account is invalid..
    A connection could not be made to the data source with the DataSourceID of '6a06124c-496f-4887-bf39-d2582173d499', Name of 'Teradata fsltdprd'.
    An error occurred while processing table 'Query'.
    The current operation was cancelled because another operation in the transaction failed.

    Sorry you're right, the Office category isn't currently accepting bug reports in which case Olaf's suggestion to use the smiley face is the way to go. In Excel please go to File > Options > Trust Centre > 'Trust Centre Settings...' and check
    that the Feeeback Tool is enabled.
    If the option is greyed out like this...
    ... then you should be able to enable it by changing the value of the 'Enabled' registry key from a 0 to a 1 which you will find under: HKEY_CURRENT_USER\Software\Microsoft\Office\15.0\Common\Feedback. You will then need to close all Office applications
    and re-launch Excel 2013.
    Once the Feeback Tool has been enabled, you should see the smile face(s) in the top right hand corner of the Excel window and be able to send your feedback.
    Regards,
    Michael
    Please remember to mark a post that answers your question as an answer...If a post doesn't answer your question but you've found it helpful, please remember to vote it as helpful :)
    Website: nimblelearn.com, Blog:
    nimblelearn.com/blog, Twitter:
    @nimblelearn

  • Help with oracle 11g pivot operator

    i need some help with oracle 11g pivot operator. is it possible to use multiple columns in the FOR clause and then compare it against multiple set of values.
    here is the sql to create some sample data
    create table pivot_data ( country_code number , dept number, job varchar2(20), sal number );
    insert into pivot_data values (1,30 , 'SALESMAN', 5000);
    insert into pivot_data values (1,301, 'SALESMAN', 5500);
    insert into pivot_data values (1,30 , 'MANAGER', 10000);     
    insert into pivot_data values (1,301, 'MANAGER', 10500);
    insert into pivot_data values (1,30 , 'CLERK', 4000);
    insert into pivot_data values (1,302, 'CLERK',4500);
    insert into pivot_data values (2,30 , 'SALESMAN', 6000);
    insert into pivot_data values (2,301, 'SALESMAN', 6500);
    insert into pivot_data values (2,30 , 'MANAGER', 11000);     
    insert into pivot_data values (2,301, 'MANAGER', 11500);
    insert into pivot_data values (2,30 , 'CLERK', 3000);
    insert into pivot_data values (2,302, 'CLERK',3500);
    using case when I can write something like this and get the output i want
    select country_code
    ,avg(case when (( dept = 30 and job = 'SALESMAN' ) or ( dept = 301 and job = 'SALESMAN' ) ) then sal end ) as d30_sls
    ,avg(case when (( dept = 30 and job = 'MANAGER' ) or ( dept = 301 and job = 'MANAGER' ) ) then sal end ) as d30_mgr
    ,avg(case when (( dept = 30 and job = 'CLERK' ) or ( dept = 302 and job = 'CLERK' ) ) then sal end ) as d30_clrk
    from pivot_data group by country_code;
    output
    country_code          D30_SLS               D30_MGR               D30_CLRK
    1      5250      10250      4250
    2      6250      11250      3250
    what I tried with pivot is like this I get what I want if I have only one ( dept,job) for one alias name. I want to call (30 , 'SALESMAN') or (301 , 'SALESMAN') AS d30_sls. any help how can I do this
    SELECT *
    FROM pivot_data
    PIVOT (SUM(sal) AS sum
    FOR (dept,job) IN ( (30 , 'SALESMAN') AS d30_sls,
              (30 , 'MANAGER') AS d30_mgr,               
    (30 , 'CLERK') AS d30_clk
    this is a simple example .... my real life scenario is compliated with more fields and more combinations .... So something like using substr(dept,1,2) won't work in my real case .
    any suggestions get the result similar to what i get in the case when example is really appreciated.

    Hi,
    Sorry, I don't think there's any way to get exactly what you requested. The values you give in the PIVOT ... IN clause are exact values, not alternatives.
    You could do something like this to map all alternatives to a common value:
    WITH     got_dept_grp     AS
         SELECT     country_code, job, sal
         ,     CASE
                  WHEN  job IN ('SALESMAN', 'MANAGER') AND dept = 301 THEN 30
                  WHEN  job IN ('CLERK')               AND dept = 302 THEN 30
                                                                     ELSE dept
              END     AS dept_grp
         FROM     pivot_data
    SELECT     *
    FROM     got_dept_grp
    PIVOT     (     AVG (sal)
         FOR     (job, dept_grp)
         IN     ( ('SALESMAN', 30)
              , ('MANAGER' , 30)
              , ('CLERK'   , 30)
    ;In your sample data (and perhaps in your real data), it's about as easy to explicitly define the pivoted groups individually, like this:
    WITH     got_pivot_key     AS
         SELECT     country_code, sal
         ,     CASE
                  WHEN  job = 'SALESMAN' AND dept IN (30, 301) THEN 'd30_sls'
                  WHEN  job = 'MANAGER'  AND dept IN (30, 301) THEN 'd30_mgr'
                  WHEN  job = 'CLERK'    AND dept IN (30, 302) THEN 'd30_clrk'
              END     AS pivot_key
         FROM    pivot_data
    SELECT     *
    FROM     got_pivot_key
    PIVOT     (     AVG (sal)
         FOR     pivot_key
         IN     ( 'd30_sls'
              , 'd30_mgr'
              , 'd30_clrk'
    ;Thanks for posting the CREATE TABLE and INSERT statements; that really helps!

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