How to make and use customised DataSource

Hi Gurus. If we are not making cubes for Inventory etc for which DS is already available, how can we create data sources in order to load the desired data in BW.means if Database fields are entirely different
kind regards
rajesh

Hi,
Customised extractors are called Generic extracters.
Usage:
1. When the standard extractors are not supporting the extraction what you need. If SAP does not have a standard extractor for your need to get data from R3, you would have to go for generic extractor.
2. If you create a custom object say by combining certain base tables in R3 say custom tables ZTAB1 and ZTAB2. These two tables are not SAP provided tables and there will not be any standard extractors. So cases like this you will have to go for generic extractors.
3. FI-SL requires generic extractors.
How:
You have to use RSO2 transaction and you can also set delta based on, one of the three characteristics such as timestamp, calday or pointer (a sequence no).
once you create it and activate it. The extractor will be available in ROOSOURCE - (table in R3 where all the data sources are available).
Steps
Log on sap R/3.
Step 1. create a table or view for generic extraction in se11.
Step 2. Goto t-code RSO2
Step 3. Here u have to decide whether to extract transaction data or master data attributes or texts.
Step 4. suppose if u have opted for transaction data,then give name in the column ex:ztd_m(data source name)
Step 5. select create button,this will take u to another screen.
Step 6. Here u have to decide from which application component u r extacting data.Ex: SD,MM,..
Step 7. in this screen u have to fill short disciption,medium,long( these r mandatory).
Step 8. then U have to Table name or view name which u have created in se11.
Step 9. I f u want to maintain generic delta then u can select generic delta in top left hand side corner.
Step 10. in next screen u have to give some field which is primary key.
step 11. here u to specify whether time stamp or cal day or numeric pointer depending on u r requirement.
step 12. then u have to specify whether new status for changed records or additive delta.
If u choose additive delta ,then u have to load data to infocube or ods object.
If u choose new status for changed records, then u to load data to ods object only.
Step 13. then save it.
Step 14. then logon to sap bw ,then replicate the data source then as usuall.
Refer:
/people/siegfried.szameitat/blog/2005/09/29/generic-extraction-via-function-module
Generic Extraction with Table, View, FM & Infoset
Creating a datasource for generic extraction
Generic Extraction
Customer and Generic extraction difference ?
generic extraction
Re: Generic extractors
generic extraction
https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/library/uuid/d3219af2-0c01-0010-71ac-db
https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/library/uuid/84bf4d68-0601-0010-13b5-b0
https://www.sdn.sap.com/irj/sdn/go/portal/prtroot/docs/library/uuid/84bf4d68-0601-0010-13b5-b0
http://help.sap.com/saphelp_nw04/helpdata/en/3f/548c9ec754ee4d90188a4f108e0121/content.h
http://help.sap.com/saphelp_nw04/helpdata/en/3f/548c9ec754ee4d90188a4f108e0121/content.htm
https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/library/uuid/84bf4d68-0601-0010-13b5-b062adbb3e33
Re: Generic Extractor - Delta
Thanks,
JituK

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How to make OLAPDATAGRID use AS3

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[Attach Code]
package My
import mx.collections.ArrayCollection;
import mx.collections.IList;
import mx.controls.Alert;
import mx.controls.OLAPDataGrid;
import mx.olap.IOLAPCube;
import mx.olap.IOLAPDimension;
import mx.olap.IOLAPQuery;
import mx.olap.IOLAPQueryAxis;
import mx.olap.OLAPAttribute;
import mx.olap.OLAPCube;
import mx.olap.OLAPDimension;
import mx.olap.OLAPHierarchy;
import mx.olap.OLAPLevel;
import mx.olap.OLAPMeasure;
import mx.olap.OLAPQuery;
import mx.olap.OLAPResult;
import mx.olap.OLAPSet;
import mx.rpc.AsyncResponder;
import mx.rpc.AsyncToken;
public class OlapDGCreator
[Bindable]
private var flatData:ArrayCollection = new ArrayCollection(
{otd:"div1",pos:"programmer",year:2007,quarter:"q1",zp:20000},
{otd:"div1",pos:"manager",year:2007,quarter:"q1",zp:15000},
{otd:"div2",pos:"programmer",year:2007,quarter:"q1",zp:25000},
{otd:"div2",pos:"manager",year:2007,quarter:"q1",zp:23000},
{otd:"div1",pos:"programmer",year:2007,quarter:"q2",zp:21000},
{otd:"div1",pos:"manager",year:2007,quarter:"q2",zp:16000},
{otd:"div2",pos:"programmer",year:2007,quarter:"q2",zp:27000},
{otd:"div2",pos:"manager",year:2007,quarter:"q2",zp:24000},
public var str:String = "";
public var ODG:OLAPDataGrid = new OLAPDataGrid();
public var MyCube:OLAPCube = new OLAPCube("otchet");
public function OlapDGCreator()
MyCube.dataProvider=flatData;
var m:OLAPMeasure = new OLAPMeasure("ZP");
m.aggregator="SUM";
m.dataField="zp";
var a:IList = new ArrayCollection();
a.addItem(m);
var dimDateTime:OLAPDimension = new
OLAPDimension("DateTime","DateTime");
dimDateTime.cube=MyCube;
dimDateTime.name="DateTime";
var hierDataTime:OLAPHierarchy = new
OLAPHierarchy("hierDataTime","displayHierDataTime");
var l1:OLAPLevel = new OLAPLevel("Year","Year")
var l2:OLAPLevel = new OLAPLevel("Quarter","Quarter")
hierDataTime.levels.addItem(l1);
hierDataTime.levels.addItem(l2);
var att1:OLAPAttribute = new OLAPAttribute("Year","Year")
att1.dataField="year";
att1.name="Year";
var att2:OLAPAttribute = new
OLAPAttribute("Quarter","quarter")
att2.dataField="quarter";
att2.name="Quarter";
dimDateTime.attributes.addItem(att1)
dimDateTime.attributes.addItem(att2)
dimDateTime.hierarchies.addItem(hierDataTime);
var dimDivDim:OLAPDimension = new
OLAPDimension("DivDim","DivDim");
dimDivDim.cube=MyCube;
dimDivDim.name="DivDim";
var hierDivDim:OLAPHierarchy = new
OLAPHierarchy("hierDivDim","displayHierDivDim");
var dd_l1:OLAPLevel = new OLAPLevel("Otd","Otd")
var dd_l2:OLAPLevel = new OLAPLevel("Pos","Pos")
hierDivDim.levels.addItem(dd_l1);
hierDivDim.levels.addItem(dd_l2);
var dd_att1:OLAPAttribute = new OLAPAttribute("Otd","Otd")
dd_att1.dataField="otd";
dd_att1.dimension=dimDivDim;
var dd_att2:OLAPAttribute = new OLAPAttribute("Pos","Pos")
dd_att2.dataField="pos";
dd_att2.dimension=dimDivDim;
dimDivDim.attributes.addItem(dd_att1);
dimDivDim.attributes.addItem(dd_att2);
dimDivDim.hierarchies.addItem(hierDivDim);
MyCube.dimensions.addItem(dimDateTime);
MyCube.dimensions.addItem(dimDivDim);
MyCube.measures = a
MyCube.refresh();
//MyCube.measures.addEventListener("www",test);
//MyCube.addEventListener(CubeEvent.CUBE_COMPLETE,runQuery)
runQuery();
//запустили
выражение
// Create the OLAP query.
private function getQuery(cube:IOLAPCube):IOLAPQuery {
// Create an instance of OLAPQuery to represent the query.
var query:OLAPQuery = new OLAPQuery;
// Get the row axis from the query instance.
var rowQueryAxis:IOLAPQueryAxis =
query.getAxis(OLAPQuery.ROW_AXIS);
// Create an OLAPSet instance to configure the axis.
var otdSet:OLAPSet = new OLAPSet;
// Add the Product to the row to aggregate data
// by the Product dimension.
var tmp:IOLAPDimension = cube.findDimension("DivDim");
var tmp2:OLAPDimension = cube.dimensions[0];
otdSet.addElements(OLAPAttribute(OLAPDimension(cube.dimensions[1]).attributes[0]).childre n);//zah
otdSet.addElements(cube.findDimension("DivDim").findAttribute("Otd").children);
// Add the OLAPSet instance to the axis.
var posSet:OLAPSet = new OLAPSet;
// Add the Product to the row to aggregate data
// by the Product dimension.
posSet.addElements(OLAPAttribute(OLAPDimension(cube.dimensions[1]).attributes[1]).childre n);//zah
posSet.addElements(cube.findDimension("DivDim").findAttribute("Pos").children);
// Add the OLAPSet instance to the axis.
rowQueryAxis.addSet(otdSet.crossJoin(posSet));
// Get the column axis from the query instance, and
configure it
// to aggregate the columns by the Quarter dimension.
var colQueryAxis:IOLAPQueryAxis =
query.getAxis(OLAPQuery.COLUMN_AXIS);
var yearSet:OLAPSet= new OLAPSet;
yearSet.addElements(OLAPAttribute(OLAPDimension(cube.dimensions[0]).attributes[0]).childr en);//zah
yearSet.addElements(cube.findDimension("DateTime").findAttribute("Year").children);
var quarterSet:OLAPSet= new OLAPSet;
quarterSet.addElements(OLAPAttribute(OLAPDimension(cube.dimensions[0]).attributes[1]).chi ldren);//zah
//quarterSet.addElements(cube.findDimension("DateTime").findAttribute("Quarter").children );
colQueryAxis.addSet(yearSet.crossJoin(quarterSet));
return query;
// Event handler to execute the OLAP query
// after the cube completes initialization.
// private function runQuery(event:CubeEvent):void {
private function runQuery():void {
// Get cube.
//var cube:IOLAPCube = IOLAPCube(event.currentTarget);
var cube:IOLAPCube = IOLAPCube(this.MyCube);
// Create a query instance.
var query:IOLAPQuery = getQuery(cube);
// Execute the query.
var token:AsyncToken = cube.execute(query);
// Setup handlers for the query results.
token.addResponder(new AsyncResponder(showResult,
showFault));
// Handle a query fault.
private function showFault(result:Object, token:Object):void
Alert.show("Error in query.");
// Handle a successful query by passing the query results to
// the OLAPDataGrid control..
private function showResult(result:Object,
token:Object):void {
if (!result) {
Alert.show("No results from query.");
return;
ODG.dataProvider= result as OLAPResult;
[/Attach Code]

Here is the fixed code. I would have loved to re-organize the
code but left it as is so that you can diff the files and make a
note of the differences.
package
import mx.collections.ArrayCollection;
import mx.controls.Alert;
import mx.controls.OLAPDataGrid;
import mx.events.CubeEvent;
import mx.olap.IOLAPCube;
import mx.olap.IOLAPDimension;
import mx.olap.IOLAPQuery;
import mx.olap.IOLAPQueryAxis;
import mx.olap.OLAPAttribute;
import mx.olap.OLAPCube;
import mx.olap.OLAPDimension;
import mx.olap.OLAPHierarchy;
import mx.olap.OLAPLevel;
import mx.olap.OLAPMeasure;
import mx.olap.OLAPQuery;
import mx.olap.OLAPResult;
import mx.olap.OLAPSet;
import mx.rpc.AsyncResponder;
import mx.rpc.AsyncToken;
public class OlapDGCreator
[Bindable]
private var flatData:ArrayCollection = new ArrayCollection(
{otd:"div1",pos:"programmer",year:2007,quarter:"q1",zp:20000},
{otd:"div1",pos:"manager",year:2007,quarter:"q1",zp:15000},
{otd:"div2",pos:"programmer",year:2007,quarter:"q1",zp:25000},
{otd:"div2",pos:"manager",year:2007,quarter:"q1",zp:23000},
{otd:"div1",pos:"programmer",year:2007,quarter:"q2",zp:21000},
{otd:"div1",pos:"manager",year:2007,quarter:"q2",zp:16000},
{otd:"div2",pos:"programmer",year:2007,quarter:"q2",zp:27000},
{otd:"div2",pos:"manager",year:2007,quarter:"q2",zp:24000},
public var str:String = "";
public var ODG:OLAPDataGrid = new OLAPDataGrid();
public var MyCube:OLAPCube = new OLAPCube("otchet");
public function OlapDGCreator()
MyCube.dataProvider=flatData;
var m:OLAPMeasure = new OLAPMeasure("ZP");
m.aggregator="SUM";
m.dataField="zp";
//var a:IList = new ArrayCollection();
//a.addItem(m);
var dimDateTime:OLAPDimension = new
OLAPDimension("DateTime","DateTime");
//dimDateTime.cube=MyCube;
//dimDateTime.name="DateTime";
var hierDataTime:OLAPHierarchy = new
OLAPHierarchy("hierDataTime","displayHierDataTime");
var l1:OLAPLevel = new OLAPLevel("Year","Year")
l1.attributeName = "Year";
var l2:OLAPLevel = new OLAPLevel("Quarter","Quarter")
l2.attributeName = "Quarter";
//hierDataTime.levels.addItem(l1);
//hierDataTime.levels.addItem(l2);
hierDataTime.levels = new ArrayCollection([l1, l2]);
var att1:OLAPAttribute = new OLAPAttribute("Year","Year")
att1.dataField="year";
//att1.name="Year";
var att2:OLAPAttribute = new
OLAPAttribute("Quarter","quarter")
att2.dataField="quarter";
//att2.name="Quarter";
//dimDateTime.attributes.addItem(att1)
//dimDateTime.attributes.addItem(att2)
dimDateTime.attributes = new ArrayCollection([att1, att2]);
//dimDateTime.hierarchies.addItem(hierDataTime);
dimDateTime.hierarchies = new
ArrayCollection([hierDataTime]);
var dimDivDim:OLAPDimension = new
OLAPDimension("DivDim","DivDim");
//dimDivDim.cube=MyCube;
//dimDivDim.name="DivDim";
var hierDivDim:OLAPHierarchy = new
OLAPHierarchy("hierDivDim","displayHierDivDim");
var dd_l1:OLAPLevel = new OLAPLevel("Otd","Otd")
dd_l1.attributeName = "Otd";
var dd_l2:OLAPLevel = new OLAPLevel("Pos","Pos")
dd_l2.attributeName = "Pos";
//hierDivDim.levels.addItem(dd_l1);
//hierDivDim.levels.addItem(dd_l2);
hierDivDim.levels = new ArrayCollection([dd_l1, dd_l2]);
var dd_att1:OLAPAttribute = new OLAPAttribute("Otd","Otd")
dd_att1.dataField="otd";
//dd_att1.dimension=dimDivDim;
var dd_att2:OLAPAttribute = new OLAPAttribute("Pos","Pos")
dd_att2.dataField="pos";
//dd_att2.dimension=dimDivDim;
//dimDivDim.attributes.addItem(dd_att1);
//dimDivDim.attributes.addItem(dd_att2);
//dimDivDim.hierarchies.addItem(hierDivDim);
dimDivDim.attributes = new ArrayCollection([dd_att1,
dd_att2]);
dimDivDim.hierarchies = new ArrayCollection([hierDivDim]);
//MyCube.dimensions.addItem(dimDateTime);
//MyCube.dimensions.addItem(dimDivDim);
//MyCube.measures = a
MyCube.elements = [dimDateTime, dimDivDim, m];
MyCube.refresh();
//MyCube.measures.addEventListener("www",test);
MyCube.addEventListener(CubeEvent.CUBE_COMPLETE,runQuery)
// Create the OLAP query.
private function getQuery(cube:IOLAPCube):IOLAPQuery {
// Create an instance of OLAPQuery to represent the query.
var query:OLAPQuery = new OLAPQuery;
// Get the row axis from the query instance.
var rowQueryAxis:IOLAPQueryAxis =
query.getAxis(OLAPQuery.ROW_AXIS);
// Create an OLAPSet instance to configure the axis.
var otdSet:OLAPSet = new OLAPSet;
// Add the Product to the row to aggregate data
// by the Product dimension.
var tmp:IOLAPDimension = cube.findDimension("DivDim");
var tmp2:OLAPDimension = cube.dimensions[0];
otdSet.addElements(OLAPAttribute(OLAPDimension(cube.dimensions[1]).attributes[0]).children );//zah
otdSet.addElements(cube.findDimension("DivDim").findAttribute("Otd").children);
// Add the OLAPSet instance to the axis.
var posSet:OLAPSet = new OLAPSet;
// Add the Product to the row to aggregate data
// by the Product dimension.
posSet.addElements(OLAPAttribute(OLAPDimension(cube.dimensions[1]).attributes[1]).children );//zah
posSet.addElements(cube.findDimension("DivDim").findAttribute("Pos").children);
// Add the OLAPSet instance to the axis.
rowQueryAxis.addSet(otdSet.crossJoin(posSet));
// Get the column axis from the query instance, and configure
it
// to aggregate the columns by the Quarter dimension.
var colQueryAxis:IOLAPQueryAxis =
query.getAxis(OLAPQuery.COLUMN_AXIS);
var yearSet:OLAPSet= new OLAPSet;
yearSet.addElements(OLAPAttribute(OLAPDimension(cube.dimensions[0]).attributes[0]).childre n);//zah
yearSet.addElements(cube.findDimension("DateTime").findAttribute("Year").children);
var quarterSet:OLAPSet= new OLAPSet;
quarterSet.addElements(OLAPAttribute(OLAPDimension(cube.dimensions[0]).attributes[1]).chil dren);//zah
//quarterSet.addElements(cube.findDimension("DateTime").findAttribute("Quarter").children) ;
colQueryAxis.addSet(yearSet.crossJoin(quarterSet));
return query;
// Event handler to execute the OLAP query
// after the cube completes initialization.
// private function runQuery(event:CubeEvent):void {
private function runQuery(event:Event):void {
// Get cube.
//var cube:IOLAPCube = IOLAPCube(event.currentTarget);
var cube:IOLAPCube = IOLAPCube(this.MyCube);
// Create a query instance.
var query:IOLAPQuery = getQuery(cube);
// Execute the query.
var token:AsyncToken = cube.execute(query);
// Setup handlers for the query results.
token.addResponder(new AsyncResponder(showResult,
showFault));
// Handle a query fault.
private function showFault(result:Object, token:Object):void
Alert.show("Error in query.");
// Handle a successful query by passing the query results to
// the OLAPDataGrid control..
private function showResult(result:Object, token:Object):void
if (!result) {
Alert.show("No results from query.");
return;
ODG.dataProvider= result as OLAPResult;

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<The only think I can really do is to go back on my old windows...give back this orrible lap top and ask for my money back!>
Great suggestion. You should go with that one, but good luck getting a refund.
Bye

Need help how to install and use html db

plz any body can help me i have download htmldb2.0 and want to install and use it with oracle but i do not know how to install and use it first time any body can help me in detail .
Niazi

Niazi,
Included in the 2.0 download are some very comprehensive Installation and Upgrade instructions, I would highly recommend you read those.

How to make and use customised DataSource

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