Load scd 1 and scd 2 in the same dimension

Hi
is there any order for load of customer dimension, when you have in the same dimension fields scd1 and scd2. which one it is better load first, scd type 2 and then, scd type 1 for each customer with state = 1?
thanks

hi Mark,
but I have one field that I want maintain the historic and then, more some fields that I want to update, always that it's possible. both case, in the same (customer) dimension.
(the state it is for scd type 2, if state=0 inactive , if state=1 active)
thanks,
David
Actually that will part of same task itself in SSIS
If you're using standard SCD task in SSIS, it will take care of all these aspects by itself. You just need to identify the attributes as Type and Type2
If you're planning to use another method like say lookup, you need to add the logic in data flow to handle the type2 cases also in the required branch
See this as an example where I've used lookup based on hash values for applying SCD type 1 and type 2 logic
http://visakhm.blogspot.in/2014/06/ssis-tips-implementing-scd.html
Please Mark This As Answer if it helps to solve the issue Visakh ---------------------------- http://visakhm.blogspot.com/ https://www.facebook.com/VmBlogs

Similar Messages

Why is the Star Transformation using two indexes for the same dimension?

Hi,
Recently, I have made an investigation about the Star Transformation feature. I have found a strange test case, which plays an important role in my strategy for our overall DWH architecture. Here it is:
The Strategy:
I would like to have the classical Star Transformation approach (single column Bitmap Indexes for each dimension foreign key column in the fact table), together with additional Bitmap Join Indexes for some of the dimension attributes, which would benefit from the materialization of the join (bitmap merge operation will be skipped/optimized).
The query:
select dp.brand, ds. region_name, dc.region_name
     , count(*), sum(f.extended_price)
from fact_line_item f
     , dim_part       dp
     , dim_supplier   ds
     , dim_customer   dc
where dp.mfgr        = 10                 -- dimension selectivity = 1/10 --> acttual/fact selectivity = 6/10
   and f.part_dk      = dp.dk
   and ds.region_name = 'REGION #1' -- dimension selectivity = 1/9
   and f.supplier_dk = ds.dk
   and dc.region_name = 'REGION #1' -- dimension selectivity = 1/11
   and f.customer_dk = dc.dk
group by dp.brand, ds. region_name, dc.region_name
The actual plan:
| Id | Operation                              | Name                        | Starts | E-Rows | Cost (%CPU)| A-Rows |   A-Time   | Buffers | Reads |
|   0 | SELECT STATEMENT                       |                             |      1 |        | 3247 (100)|      1 |00:01:42.05 |     264K|    220K|
|   1 | HASH GROUP BY                         |                             |      1 |      2 | 3247   (1)|      1 |00:01:42.05 |     264K|    220K|
|* 2 |   HASH JOIN                            |                             |      1 | 33242 | 3037   (1)|    217K|00:01:29.67 |     264K|    220K|
|* 3 |    TABLE ACCESS FULL                   | DIM_SUPPLIER                |      1 |   1112 |   102   (0)|   1112 |00:00:00.01 |     316 |      4 |
|* 4 |    HASH JOIN                           |                             |      1 | 33245 | 2934   (1)|    217K|00:01:29.10 |     264K|    220K|
|* 5 |     TABLE ACCESS FULL                  | DIM_CUSTOMER                |      1 |    910 |   102   (0)|    910 |00:00:00.08 |     316 |      8 |
|* 6 |     HASH JOIN                          |                             |      1 | 33248 | 2831   (1)|    217K|00:01:28.57 |     264K|    220K|
|* 7 |      TABLE ACCESS FULL                 | DIM_PART                    |      1 |     10 |     3   (0)|     10 |00:00:00.01 |       6 |      0 |
|   8 |      PARTITION RANGE ALL               |                             |      1 | 36211 | 2827   (1)|    217K|00:01:28.01 |     264K|    220K|
|   9 |       TABLE ACCESS BY LOCAL INDEX ROWID| FACT_LINE_ITEM              |      6 | 36211 | 2827   (1)|    217K|00:01:33.85 |     264K|    220K|
| 10 |        BITMAP CONVERSION TO ROWIDS     |                             |      6 |        |            |    217K|00:00:07.09 |   46980 |   3292 |
| 11 |         BITMAP AND                     |                             |      6 |        |            |     69 |00:00:08.33 |   46980 |   3292 |
| 12 |          BITMAP MERGE                  |                             |      6 |        |            |    193 |00:00:02.09 |    2408 |   1795 |
| 13 |           BITMAP KEY ITERATION         |                             |      6 |        |            |   4330 |00:00:04.66 |    2408 |   1795 |
| 14 |            BUFFER SORT                 |                             |      6 |        |            |     60 |00:00:00.01 |       6 |      0 |
|* 15 |             TABLE ACCESS FULL          | DIM_PART                    |      1 |     10 |     3   (0)|     10 |00:00:00.01 |       6 |      0 |
|* 16 |            BITMAP INDEX RANGE SCAN     | FACT_LI__P_PART_DIM_KEY_BIX |     60 |        |            |   4330 |00:00:02.11 |    2402 |   1795 |
|* 17 |          BITMAP INDEX SINGLE VALUE     | FACT_LI__P_PART_MFGR_BJX    |      6 |        |            |   1747 |00:00:06.65 |     890 |    888 |
| 18 |          BITMAP MERGE                  |                             |      6 |        |            |    169 |00:00:02.78 |   16695 |    237 |
| 19 |           BITMAP KEY ITERATION         |                             |      6 |        |            |   5460 |00:00:01.56 |   16695 |    237 |
| 20 |            BUFFER SORT                 |                             |      6 |        |            |   5460 |00:00:00.02 |     316 |      0 |
|* 21 |             TABLE ACCESS FULL          | DIM_CUSTOMER                |      1 |    910 |   102   (0)|    910 |00:00:00.01 |     316 |      0 |
|* 22 |            BITMAP INDEX RANGE SCAN     | FACT_LI__P_CUST_DIM_KEY_BIX |   5460 |        |            |   5460 |00:00:02.07 |   16379 |    237 |
| 23 |          BITMAP MERGE                  |                             |      6 |        |            |    170 |00:00:03.65 |   26987 |    372 |
| 24 |           BITMAP KEY ITERATION         |                             |      6 |        |            |   6672 |00:00:02.23 |   26987 |    372 |
| 25 |            BUFFER SORT                 |                             |      6 |        |            |   6672 |00:00:00.01 |     316 |      0 |
|* 26 |             TABLE ACCESS FULL          | DIM_SUPPLIER                |      1 |   1112 |   102   (0)|   1112 |00:00:00.01 |     316 |      0 |
|* 27 |            BITMAP INDEX RANGE SCAN     | FACT_LI__S_SUPP_DIM_KEY_BIX |   6672 |        |            |   6672 |00:00:02.74 |   26671 |    372 |
The Question:
Why is the Star Transformation using both indexes FACT_LI__P_PART_DIM_KEY_BIX and FACT_LI__P_PART_MFGR_BJX for the same dimension criteria (dp.mfgr = 10)?? The introduction of the additional Bitmap Join Index actually make Oracle to do the work twice !!!
Anybody, any idea ?!?

Dom, here it is the plan with the predicates:
| Id | Operation                              | Name                        | Starts | E-Rows | Cost (%CPU)| A-Rows |   A-Time   | Buffers | Reads |
|   0 | SELECT STATEMENT                       |                             |      1 |        | 3638 (100)|      1 |00:06:41.17 |     445K|    236K|
|   1 | HASH GROUP BY                         |                             |      1 |      2 | 3638   (1)|      1 |00:06:41.17 |     445K|    236K|
|* 2 |   HASH JOIN                            |                             |      1 | 33242 | 3429   (1)|    217K|00:08:18.02 |     445K|    236K|
|* 3 |    TABLE ACCESS FULL                   | DIM_SUPPLIER                |      1 |   1112 |   102   (0)|   1112 |00:00:00.03 |     319 |    313 |
|* 4 |    HASH JOIN                           |                             |      1 | 33245 | 3326   (1)|    217K|00:08:17.47 |     445K|    236K|
|* 5 |     TABLE ACCESS FULL                  | DIM_CUSTOMER                |      1 |    910 |   102   (0)|    910 |00:00:00.01 |     319 |    313 |
|* 6 |     HASH JOIN                          |                             |      1 | 33248 | 3223   (1)|    217K|00:08:16.63 |     445K|    236K|
|* 7 |      TABLE ACCESS FULL                 | DIM_PART                    |      1 |     10 |     3   (0)|     10 |00:00:00.01 |       6 |      0 |
|   8 |      PARTITION RANGE ALL               |                             |      1 | 36211 | 3219   (1)|    217K|00:08:16.30 |     445K|    236K|
|   9 |       TABLE ACCESS BY LOCAL INDEX ROWID| FACT_LINE_ITEM              |      6 | 36211 | 3219   (1)|    217K|00:08:40.89 |     445K|    236K|
| 10 |        BITMAP CONVERSION TO ROWIDS     |                             |      6 |        |            |    217K|00:00:32.00 |   46919 | 19331 |
| 11 |         BITMAP AND                     |                             |      6 |        |            |     69 |00:00:34.50 |   46919 | 19331 |
| 12 |          BITMAP MERGE                  |                             |      6 |        |            |    193 |00:00:00.58 |    2353 |      1 |
| 13 |           BITMAP KEY ITERATION         |                             |      6 |        |            |   4330 |00:00:00.10 |    2353 |      1 |
| 14 |            BUFFER SORT                 |                             |      6 |        |            |     60 |00:00:00.01 |       6 |      0 |
|* 15 |             TABLE ACCESS FULL          | DIM_PART                    |      1 |     10 |     3   (0)|     10 |00:00:00.01 |       6 |      0 |
|* 16 |            BITMAP INDEX RANGE SCAN     | FACT_LI__P_PART_DIM_KEY_BIX |     60 |        |            |   4330 |00:00:00.07 |    2347 |      1 |
|* 17 |          BITMAP INDEX SINGLE VALUE     | FACT_LI__P_PART_MFGR_BJX    |      6 |        |            |   1747 |00:01:23.64 |     882 |    565 |
| 18 |          BITMAP MERGE                  |                             |      6 |        |            |    169 |00:00:09.14 |   16697 |   7628 |
| 19 |           BITMAP KEY ITERATION         |                             |      6 |        |            |   5460 |00:00:02.19 |   16697 |   7628 |
| 20 |            BUFFER SORT                 |                             |      6 |        |            |   5460 |00:00:00.01 |     316 |      0 |
|* 21 |             TABLE ACCESS FULL          | DIM_CUSTOMER                |      1 |    910 |   102   (0)|    910 |00:00:00.01 |     316 |      0 |
|* 22 |            BITMAP INDEX RANGE SCAN     | FACT_LI__P_CUST_DIM_KEY_BIX |   5460 |        |            |   5460 |00:00:08.78 |   16381 |   7628 |
| 23 |          BITMAP MERGE                  |                             |      6 |        |            |    170 |00:00:21.46 |   26987 | 11137 |
| 24 |           BITMAP KEY ITERATION         |                             |      6 |        |            |   6672 |00:00:10.29 |   26987 | 11137 |
| 25 |            BUFFER SORT                 |                             |      6 |        |            |   6672 |00:00:00.01 |     316 |      0 |
|* 26 |             TABLE ACCESS FULL          | DIM_SUPPLIER                |      1 |   1112 |   102   (0)|   1112 |00:00:00.01 |     316 |      0 |
|* 27 |            BITMAP INDEX RANGE SCAN     | FACT_LI__S_SUPP_DIM_KEY_BIX |   6672 |        |            |   6672 |00:00:20.94 |   26671 | 11137 |
Predicate Information (identified by operation id):
   2 - access("F"."SUPPLIER_DK"="DS"."DK")
   3 - filter("DS"."REGION_NAME"='REGION #1')
   4 - access("F"."CUSTOMER_DK"="DC"."DK")
   5 - filter("DC"."REGION_NAME"='REGION #1')
   6 - access("F"."PART_DK"="DP"."DK")
   7 - filter("DP"."MFGR"=10)
15 - filter("DP"."MFGR"=10)
16 - access("F"."PART_DK"="DP"."DK")
17 - access("F"."SYS_NC00017$"=10)
21 - filter("DC"."REGION_NAME"='REGION #1')
22 - access("F"."CUSTOMER_DK"="DC"."DK")
26 - filter("DS"."REGION_NAME"='REGION #1')
27 - access("F"."SUPPLIER_DK"="DS"."DK")
Note
   - star transformation used for this statement

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tt2

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Hi Michael,
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You can workaround the situation by:
a. configure EBS11i and Discoverer to use the same version of Jiniator 1.3.xx
b. educate the users to open one MS IE browser to connect to EBS11i and then open a second MS IE browser to login to EBS11i SSWA or Discoverer 10g Plus directly to launch workbooks. They need to to this by clicking on the icon and not using File >> New browser. Clicking on the icon will spawn a new parent iexplore.exe process that can attach to a second/different JVM. File >> New Window will spawan a child of the parent.
c. As you did use two browser versions. MS IE for EBS11 connection and FireFox for Disocverer 10g connection.
I would choose optoin b, so that you can use Sun Java Plugin with Discoverer.
Open to any comments. I hope that helps you workaround the problem. The ideal solution is to have EBS 11i use/cerified with the 1.4 or 1.5 JRE. In poking around, I see there is a related post to this on one of Oracle's EBS 11i Product Managers Blog.
See:
http://blogs.oracle.com/schan/2006/04/18#a23

JTable fixed Row and Column in the same window

Hi
Could anyone tip me how to make fixed row and column in the same table(s).
I know how to make column fixed and row, tried to combine them but it didnt look pretty.
Can anyone give me a tip?
Thanks! :)

Got it to work!
heres the kod.. nothing beautiful, didnt clean it up.
* NewClass.java
* Created on den 29 november 2007, 12:51
* To change this template, choose Tools | Template Manager
* and open the template in the editor.
package tablevectortest;
* @author Sockan
import java.awt.*;
import java.awt.event.*;
import javax.swing.*;
import javax.swing.table.*;
import javax.swing.event.*;
public class FixedRowCol extends JFrame {
Object[][] data;
Object[] column;
JTable fixedTable,table,fixedColTable,fixedTopmodelTable;
private int FIXED_NUM = 16;
public FixedRowCol() {
    super( "Fixed Row Example" );
    data = new Object[][]{
        {      "","A","A","A","",""},
        {      "a","b","","","",""},
        {      "a","","c","","",""},
        {      "","","","d","",""},
        {      "","","","","e",""},
        {      "","","","","","f"},
        {      "","b","","","",""},
        {      "","","c","","",""},
        {      "","","","d","",""},
        {      "","","","","e",""},
        {      "","b","","","",""},
        {      "","","c","","",""},
        {      "","","","d","",""},
        {      "","","","","e",""},
        {      "","","","","","f"},
        {      "I","","W","G","A",""}};
    column = new Object[]{"A","B","C","D","E","F"};
    AbstractTableModel fixedColModel = new AbstractTableModel() {
      public int getColumnCount() {
        return 1;
      public int getRowCount() {
        return data.length;
      public String getColumnName(int col) {
        return (String) column[col];
      public Object getValueAt(int row, int col) {
        return data[row][col];
      public boolean CellEditable(int row, int col) {
        return true;
    AbstractTableModel    model = new AbstractTableModel() {
      public int getColumnCount() { return column.length-2; }
      public int getRowCount() { return data.length - FIXED_NUM; }
      public String getColumnName(int col) {
       return (String)column[col+1];
      public Object getValueAt(int row, int col) {
        return data[row][col+1];
      public void setValueAt(Object obj, int row, int col) {
        data[row][col+1] = obj;
      public boolean CellEditable(int row, int col) {
        return true;
    AbstractTableModel fixedTopModel = new AbstractTableModel() {
      public int getColumnCount() { return 1; }
      public int getRowCount() { return data.length - FIXED_NUM; }
      public String getColumnName(int col) {
       return (String)column[col];
      public Object getValueAt(int row, int col) {
        return data[row][col];
      public void setValueAt(Object obj, int row, int col) {
        data[row][col] = obj;
      public boolean CellEditable(int row, int col) {
        return true;
    AbstractTableModel fixedModel = new AbstractTableModel() {
      public int getColumnCount() { return column.length-2; }
      public int getRowCount() { return FIXED_NUM; }
      public Object getValueAt(int row, int col) {
        return data[row + (data.length - FIXED_NUM)][col+1];
    table = new JTable( model );
    table.setAutoResizeMode(JTable.AUTO_RESIZE_OFF);
    table.setSelectionMode(ListSelectionModel.SINGLE_SELECTION);
    fixedTable = new JTable( fixedModel );
    fixedTable.setAutoResizeMode(JTable.AUTO_RESIZE_OFF);
    fixedTable.setSelectionMode(ListSelectionModel.SINGLE_SELECTION);
    fixedColTable= new JTable(fixedColModel);
    fixedColTable.setAutoResizeMode(JTable.AUTO_RESIZE_OFF);
    fixedColTable.setSelectionMode(ListSelectionModel.SINGLE_SELECTION);
    fixedTopmodelTable = new JTable(fixedTopModel);
    fixedTopmodelTable.setAutoResizeMode(JTable.AUTO_RESIZE_OFF);
    fixedTopmodelTable.setSelectionMode(ListSelectionModel.SINGLE_SELECTION);
    JScrollPane scroll      = new JScrollPane( table );
     scroll.setHorizontalScrollBarPolicy(JScrollPane.HORIZONTAL_SCROLLBAR_NEVER);
     scroll.setVerticalScrollBarPolicy(JScrollPane.VERTICAL_SCROLLBAR_ALWAYS);
    JScrollPane fixedScroll = new JScrollPane( fixedTable ) {
      public void setColumnHeaderView(Component view) {}
    fixedScroll.setVerticalScrollBarPolicy(JScrollPane.VERTICAL_SCROLLBAR_ALWAYS);
    fixedScroll.setHorizontalScrollBarPolicy(JScrollPane.HORIZONTAL_SCROLLBAR_ALWAYS);
    JScrollBar bar = scroll.getVerticalScrollBar();
    JScrollBar dummyBar = new JScrollBar() {
      public void paint(Graphics g) {}
    dummyBar.setPreferredSize(bar.getPreferredSize());
    scroll.setVerticalScrollBar(dummyBar);
    final JScrollBar bar1 = scroll.getHorizontalScrollBar();
    JScrollBar bar2 = fixedScroll.getHorizontalScrollBar();
    bar2.addAdjustmentListener(new AdjustmentListener() {
      public void adjustmentValueChanged(AdjustmentEvent e) {
        bar1.setValue(e.getValue());
    JViewport viewport = new JViewport();
    viewport.setView(fixedColTable);
    viewport.setPreferredSize(fixedColTable.getPreferredSize());
    fixedScroll.setRowHeaderView(viewport);
    fixedScroll.setCorner(JScrollPane.UPPER_LEFT_CORNER, fixedColTable
        .getTableHeader());
    JViewport viewport2 = new JViewport();
    viewport2.setView(fixedTopmodelTable);
    viewport2.setPreferredSize(fixedTopmodelTable.getPreferredSize());
    scroll.setRowHeaderView(viewport2);
    scroll.setCorner(JScrollPane.UPPER_LEFT_CORNER, fixedTopmodelTable
        .getTableHeader());
    scroll.setPreferredSize(new Dimension(600, 19));
    fixedScroll.setPreferredSize(new Dimension(600, 100));
    getContentPane().add(     scroll, BorderLayout.NORTH);
    getContentPane().add(fixedScroll, BorderLayout.CENTER);
public static void main(String[] args) {
    FixedRowCol frame = new FixedRowCol();
    frame.addWindowListener( new WindowAdapter() {
      public void windowClosing( WindowEvent e ) {
        System.exit(0);
    frame.pack();
    frame.setVisible(true);
}

Load scd 1 and scd 2 in the same dimension

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