Row to Column Transformation for Millions of records

Hi Members,
I need to transform data from two stage tables which has data in PIM structure (data stored as separate records ) to target table which has a flat structure (data stored in a single record). One of the stg tables has data volume of 45M and other has 5M records.The challenge I am seeing here is to transform such huge data into single table with considerable performance.What would be the ideal way to transform such huge data?Also can we have multiple programs running at the same time to achieve transformation for such huge data load quicker?
Just to add my Oracle Version is 10g.
Thanks
Edited by: Sonic on Jul 12, 2010 1:33 AM

Still no version number, still no code, and no explain plan report.
Is there a better, faster way to do it?, I don't know ... how could I or anyone else as you've not told us what you are doing beyond the level of "my car won't start tell me why?"
This should help you understand the issue from my keyboard.
http://www.builderau.com.au/strategy/developmentprocess/soa/How-developers-should-ask-for-help/0,339028278,339299138,00.htm

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SQL> /
NE              RAISED                         CLEARED                        RTTS_NO        RING
10100000-1LU    22-FEB-2011 22:01:04/28-FEB-20 22-FEB-2011 22:12:27/28-FEB-20                SR-10/ ER-16/ CR-25/ CR-29/ CR-26/ RIDM-1/ NER5/ CR-31/ RiC600-1
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could you do something like this?
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union
select NE,   regexp_substr( raised,'[^/]+',1,5) , regexp_substr( cleared,'[^/]+',1,5) cleared from t
union
select NE,   regexp_substr( raised,'[^/]+',1,6) , regexp_substr( cleared,'[^/]+',1,6) cleared from t
union
select NE,   regexp_substr( raised,'[^/]+',1,7) , regexp_substr( cleared,'[^/]+',1,7) cleared from t
union
select NE,   regexp_substr( raised,'[^/]+',1,8) , regexp_substr( cleared,'[^/]+',1,8) cleared from t
union
select NE,   regexp_substr( raised,'[^/]+',1,9) , regexp_substr( cleared,'[^/]+',1,9) cleared from t
union
select NE,   regexp_substr( raised,'[^/]+',1,10) , regexp_substr( cleared,'[^/]+',1,10) cleared from t
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select NE,   regexp_substr( raised,'[^/]+',1,11) , regexp_substr( cleared,'[^/]+',1,11) cleared from t
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NE     RAISED     CLEARED
10100000-1LU     28-FEB-2011 01:25:22     28-FEB-2011 02:40:06
10100000-1LU     22-FEB-2011 22:01:04     22-FEB-2011 22:12:27
10100000-2LU     28-FEB-2011 01:25:22     28-FEB-2011 02:40:13
10100000-2LU     19-FEB-2011 10:36:12     19-FEB-2011 10:41:35
10100000-2LU     19-FEB-2011 11:03:13     19-FEB-2011 11:08:18
10100000-2LU     19-FEB-2011 11:16:14     19-FEB-2011 11:21:35
10100000-2LU     06-FEB-2011 07:00:53     06-FEB-2011 10:49:18
10100000-2LU     01-FEB-2011 12:15:58     05-FEB-2011 10:05:48
10100000-2LU     18-FEB-2011 22:04:56     18-FEB-2011 22:15:17you should be able to do it without all those unions using a connect by but I can't quite get it to work
the following doesn't work but maybe someone can answer.
select NE,   regexp_substr( raised,'[^/]+',1,level) raised, regexp_substr( cleared,'[^/]+',1,level) cleared from t
connect by prior NE = NE and   regexp_substr( raised,'[^/]+',1,level) = prior regexp_substr( raised,'[^/]+',1,level + 1)Edited by: pollywog on Mar 29, 2011 9:38 AM
here it is with the model clause which gets rid of all the unions.
WITH t
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                   '22-FEB-2011 22:01:04/28-FEB-2011 01:25:22/' raised,
                   '22-FEB-2011 22:12:27/28-FEB-2011 02:40:06/' cleared
              FROM DUAL
            UNION
            SELECT '10100000-2LU',
                   '01-FEB-2011 12:15:58/06-FEB-2011 07:00:53/18-FEB-2011 22:04:56/19-FEB-2011 10:36:12/19-FEB-2011 11:03:13/19-FEB-2011 11:16:14/28-FEB-2011 01:25:22/',
                   '05-FEB-2011 10:05:48/06-FEB-2011 10:49:18/18-FEB-2011 22:15:17/19-FEB-2011 10:41:35/19-FEB-2011 11:08:18/19-FEB-2011 11:21:35/28-FEB-2011 02:40:13/'
              FROM DUAL)
SELECT *
    FROM (SELECT NE, raised, cleared
            FROM t
          MODEL RETURN UPDATED ROWS
             PARTITION BY (NE)
             DIMENSION BY (0 d)
             MEASURES (raised, cleared)
             RULES
                ITERATE (1000) UNTIL raised[ITERATION_NUMBER] IS NULL
                (raised [ITERATION_NUMBER + 1] =
                      REGEXP_SUBSTR (raised[0],
                                     '[^/]+',
                                     1,
                                     ITERATION_NUMBER + 1),
                cleared [ITERATION_NUMBER + 1] =
                      REGEXP_SUBSTR (cleared[0],
                                     '[^/]+',
                                     1,
                                     ITERATION_NUMBER + 1)))
   WHERE raised IS NOT NULL
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I have 11.5, sr3.
I was going to use the XSLTransformation action to swap rows and columns of a data set using /Illuminator/stylesheets/RowToColumnTransform.xsl. I cannot get anything but the following as an output:
<?xml version="1.0" encoding="UTF-8"?><Rowsets DateCreated="2007-12-12T13:27:29" EndDate="2007-12-03T08:09:17" StartDate="2007-12-03T08:09:17" Version="11.5.3"><Rowset><Columns/><Row/></Rowset></Rowsets>
There are no errors, I just don't get the result. The input data set is as follows:
<?xml version="1.0" encoding="UTF-8"?><Rowsets DateCreated="2007-12-12T13:27:29" EndDate="2007-12-03T08:09:17" StartDate="2007-12-03T08:09:17" Version="11.5.3"><Rowset><Columns><Column Description="" MaxRange="1" MinRange="0" Name="User_ID" SQLDataType="1" SourceColumn="User_ID"/><Column Description="" MaxRange="1" MinRange="0" Name="User_Name" SQLDataType="1" SourceColumn="User_Name"/><Column Description="" MaxRange="1" MinRange="0" Name="Sample_Number" SQLDataType="4" SourceColumn="Sample_Number"/><Column Description="User Name" MaxRange="1" MinRange="0" Name="Login_By" SQLDataType="1" SourceColumn="Login_By"/><Column Description="Examination Type" MaxRange="1" MinRange="0" Name="Examination" SQLDataType="1" SourceColumn="Examination"/><Column Description="" MaxRange="1" MinRange="0" Name="Examination_Title" SQLDataType="1" SourceColumn="Examination_Title"/><Column Description="" MaxRange="1" MinRange="0" Name="Examination_Desc" SQLDataType="1" SourceColumn="Examination_Desc"/><Column Description="" MaxRange="1" MinRange="0" Name="Test_Number" SQLDataType="4" SourceColumn="Test_Number"/><Column Description="" MaxRange="1" MinRange="0" Name="Sample_Time" SQLDataType="93" SourceColumn="Sample_Time"/><Column Description="" MaxRange="1" MinRange="0" Name="Sample_Status" SQLDataType="1" SourceColumn="Sample_Status"/><Column Description="" MaxRange="1" MinRange="0" Name="Authorize" SQLDataType="1" SourceColumn="Authorize"/><Column Description="" MaxRange="1" MinRange="0" Name="Total_Defects" SQLDataType="4" SourceColumn="Total_Defects"/><Column Description="" MaxRange="1" MinRange="0" Name="Carton_Code_Date" SQLDataType="1" SourceColumn="Carton_Code_Date"/><Column Description="" MaxRange="1" MinRange="0" Name="Package_Code_Date" SQLDataType="1" SourceColumn="Package_Code_Date"/><Column Description="" MaxRange="1" MinRange="0" Name="Sample_1_Container" SQLDataType="1" SourceColumn="Sample_1_Container"/><Column Description="" MaxRange="1" MinRange="0" Name="Sample_2_Container" SQLDataType="1" SourceColumn="Sample_2_Container"/><Column Description="" MaxRange="1" MinRange="0" Name="Sample_1_Container_Get" SQLDataType="1" SourceColumn="Sample_1_Container_Get"/><Column Description="" MaxRange="1" MinRange="0" Name="Sample_2_Container_Get" SQLDataType="1" SourceColumn="Sample_2_Container_Get"/><Column Description="" MaxRange="1" MinRange="0" Name="Machine_Scanned" SQLDataType="1" SourceColumn="Machine_Scanned"/><Column Description="" MaxRange="1" MinRange="0" Name="Machine_Shift_Flag" SQLDataType="4" SourceColumn="Machine_Shift_Flag"/><Column Description="" MaxRange="1" MinRange="0" Name="Maker_Name" SQLDataType="1" SourceColumn="Maker_Name"/><Column Description="" MaxRange="1" MinRange="0" Name="Packer_Name" SQLDataType="1" SourceColumn="Packer_Name"/><Column Description="" MaxRange="1" MinRange="0" Name="Sample_Size" SQLDataType="4" SourceColumn="Sample_Size"/><Column Description="SAP Product Code of the associated Cigarette Audit if Linked" MaxRange="1" MinRange="0" Name="Associated_Cig_Audit_SAP_Code" SQLDataType="1" SourceColumn="Associated_Cig_Audit_SAP_Code"/><Column Description="SAP Product Code of the associated Pack Audit if Linked" MaxRange="1" MinRange="0" Name="Associated_Pack_Audit_SAP_Code" SQLDataType="1" SourceColumn="Associated_Pack_Audit_SAP_Code"/><Column Description="Sample Number of the associated CIg Audit if Linked" MaxRange="1" MinRange="0" Name="Associated_Cig_Audit_Sample_Number" SQLDataType="1" SourceColumn="Associated_Cig_Audit_Sample_Number"/><Column Description="Sample Number of the associated Pack Audit if Linked" MaxRange="1" MinRange="0" Name="Associated_Pack_Audit_Sample_Number" SQLDataType="1" SourceColumn="Associated_Pack_Audit_Sample_Number"/><Column Description="" MaxRange="1" MinRange="0" Name="Machine_SAP_Code" SQLDataType="1" SourceColumn="Machine_SAP_Code"/><Column Description="" MaxRange="1" MinRange="0" Name="Machine_SAP_Desc" SQLDataType="1" SourceColumn="Machine_SAP_Desc"/><Column Description="" MaxRange="1" MinRange="0" Name="Maker_SAP_Code" SQLDataType="1" SourceColumn="Maker_SAP_Code"/><Column Description="" MaxRange="1" MinRange="0" Name="Maker_SAP_Desc" SQLDataType="1" SourceColumn="Maker_SAP_Desc"/><Column Description="" MaxRange="1" MinRange="0" Name="Packer_SAP_Code" SQLDataType="1" SourceColumn="Packer_SAP_Code"/><Column Description="" MaxRange="1" MinRange="0" Name="Packer_SAP_Desc" SQLDataType="1" SourceColumn="Packer_SAP_Desc"/><Column Description="" MaxRange="1" MinRange="0" Name="Action" SQLDataType="1" SourceColumn="Action"/></Columns><Row><Sample_Number>46</Sample_Number><Examination>MKNG_PQC_PACK</Examination><Examination_Title>PQC Pack Audit</Examination_Title><Examination_Desc>Making & Packing PQC Pack Audit Sample Template</Examination_Desc><User_ID>clmf90</User_ID><User_Name></User_Name><Login_By>SYSTEM</Login_By><Test_Number>63</Test_Number><Sample_Time>2007-12-12T13:46:52</Sample_Time><Sample_Status>Complete</Sample_Status><Authorize>No</Authorize><Total_Defects>1</Total_Defects><Carton_Code_Date>-</Carton_Code_Date><Package_Code_Date>7T28D205 11:30</Package_Code_Date><Sample_1_Container>01-01</Sample_1_Container><Sample_2_Container>-</Sample_2_Container><Sample_1_Container_Get>01-01</Sample_1_Container_Get><Sample_2_Container_Get>-</Sample_2_Container_Get><Machine_Scanned>U-MAKER-205</Machine_Scanned><Maker_Name>0205</Maker_Name><Machine_Shift_Flag>1</Machine_Shift_Flag><Packer_Name>0205</Packer_Name><Sample_Size>2</Sample_Size><Associated_Cig_Audit_SAP_Code>2001155</Associated_Cig_Audit_SAP_Code><Associated_Pack_Audit_SAP_Code>-</Associated_Pack_Audit_SAP_Code><Associated_Cig_Audit_Sample_Number>MKNG-PQC-CIG-20071128-0004</Associated_Cig_Audit_Sample_Number><Associated_Pack_Audit_Sample_Number>---</Associated_Pack_Audit_Sample_Number><Machine_SAP_Code></Machine_SAP_Code><Machine_SAP_Desc>MAVERICK LT MENT 100</Machine_SAP_Desc><Maker_SAP_Code>2001155</Maker_SAP_Code><Maker_SAP_Desc>MAVERICK LT MENT 100</Maker_SAP_Desc><Packer_SAP_Desc>MAVERICK LT MENT 100</Packer_SAP_Desc><Packer_SAP_Code></Packer_SAP_Code></Row></Rowset></Rowsets>
What am I missing?

Sparks,
Any reason you are not using the VerticalGrid Applet?
Did you specify any of the parameters required by the XSL, such as ColumnID and ValueID?
The XSL appears to only translate a single row node to a column....
Try using this XSL:
<?xml version="1.0"?>
<xsl:stylesheet version="1.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform" xmlns:java="http://xml.apache.org/xslt/java" xmlns:xalan="http://xml.apache.org/xalan" exclude-result-prefixes="xalan java">
     <xsl:output encoding="UTF-8" method="xml" media-type="text/xml"/>
     <xsl:template match="/">
          <Rowsets DateCreated="{Rowsets/@DateCreated}" Version="{Rowsets/@Version}" StartDate="{Rowsets/@StartDate}" EndDate="{Rowsets/@EndDate}">
               <xsl:for-each select="Rowsets">
                    <xsl:copy-of select="FatalError"/>
                    <xsl:copy-of select="Messages"/>
                    <xsl:copy-of select="HyperLinks"/>
                    <xsl:if test="count(/Rowsets/FatalError) = '0'">
                         <Rowset>
                              <Columns>
                                   <Column Name="Name" SourceColumn="Name" Description="Name" SQLDataType="1" MinRange="0.0" MaxRange="1.0"/>
                                   <Column Name="Value" SourceColumn="Value" Description="Value" SQLDataType="1" MinRange="0.0" MaxRange="1.0"/>
                              </Columns>
                              <xsl:for-each select="/Rowsets/Rowset/Row/*[name()]">
                                   <Row>
                                        <xsl:element name="Name">
                                             <xsl:value-of select="name(.)"/>
                                        </xsl:element>
                                        <xsl:element name="Value">
                                             <xsl:value-of select="."/>
                                        </xsl:element>
                                   </Row>
                              </xsl:for-each>
                         </Rowset>
                    </xsl:if>
               </xsl:for-each>
          </Rowsets>
     </xsl:template>
</xsl:stylesheet>
Sam

Row to Column Transformation for Millions of records

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