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Oracle® OLAP Java API Developer's Guide
11g Release 2 (11.2)
E10795-03
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4 Creating Metadata and Analytic Workspaces

This chapter describes how to create new metadata objects and map them to relational structures or expressions. It describes how to export and import the definitions of the metadata objects to XML templates. It also describes how to associate the objects with an analytic workspace, and how to build the analytic workspace.

This chapter includes the following topics:

Overview of Creating and Mapping Metadata

The OLAP Java API provides the ability to create persistent metadata objects. The top-level metadata objects exist in the data dictionary of the Oracle Database instance. The API also provides the ability to create transient metadata objects that exist only for the duration of the session. An application can use both types of metadata objects to create queries that retrieve or otherwise use the data in the data store.

Before an OLAP Java API application can create metadata objects, a database administrator must have prepared the Oracle Database instance. The DBA must have set up permanent and temporary tablespaces in the database to support the creation of Oracle OLAP metadata objects and must have granted the privileges that allow the user of the session to create and manage objects. For information on preparing an Oracle Database instance, see Oracle OLAP User's Guide.

A dimensional metadata model typically includes the objects described in Chapter 2, "Understanding OLAP Java API Metadata". For detailed information on designing a dimensional metadata model, see Oracle OLAP User's Guide.

You implement the dimensional model by creating OLAP Java API metadata objects. You use classes in the oracle.olapi.metadata.mapping package to map the metadata objects to relational source objects and to build analytic workspaces. You use classes in the oracle.olapi.syntax package to specify Expression objects that you use in mapping the metadata. You use classes in the oracle.olapi.metadata.deployment package to deploy the metadata objects in an analytic workspace or in a relational database (ROLAP) organization.

The basic steps for implementing the dimensional model as OLAP Java API objects in an analytic workspace are the following:

  1. Create an AW object and MdmPrimaryDimension and MdmCube objects.

  2. Deploy the MdmPrimaryDimension and MdmCube objects to the AW.

  3. Create MdmDimensionLevel, MdmHierarchy, and MdmAttribute objects for each MdmPrimaryDimension, create MdmHierarchyLevel objects to associate MdmDimensionLevel objects with an MdmHierarchy, and create the MdmMeasure and related objects for the MdmCube objects.

  4. Map the metadata objects to the relational sources of the base data.

  5. Commit the Transaction, which creates persistent objects in the database.

  6. Load data into the objects from the relational sources by building the analytic workspace.

The following topics describe these steps. The examples in this chapter are from the CreateMetadataAndAW.java example program. That program creates some of the same metadata objects as the CreateAndBuildAW.java and SpecifyAWValues.java example programs. The CreateMetadataAndAW program also exports the analytic workspace to an XML template.

Creating an Analytic Workspace

An analytic workspace is a container for dimensional objects. It is represented by the AW class in the oracle.olapi.metadata.deployment package. An analytic workspace is owned by an MdmDatabaseSchema.

Example 4-1 demonstrates getting the MdmDatabaseSchema for the GLOBAL user and creating an AW. For an example that gets the MdmRootSchema, see Chapter 3.

Example 4-1 Creating an AW

private void createAW(MdmRootSchema mdmRootSchema)
{
  MdmDatabaseSchema mdmDBSchema = mdmRootSchema.getDatabaseSchema("GLOBAL");
  aw = mdmDBSchema.findOrCreateAW("GLOBAL_AWJ");
}

Creating the Dimensions, Levels, and Hierarchies

A dimension is a list of unique values that identify and categorize data. Dimensions form the edges of a cube and identify the values in the measures of the cube. A dimension can have one or more levels that categorize the dimension members. It can have one or more hierarchies that further categorize the members. A dimension can also have no levels or hierarchies. However, a dimension must have one or more levels before Oracle OLAP can create a materialized view for it.

A dimension also has attributes that contain information about dimension members. For descriptions of creating attributes, see "Creating Attributes".

This topic describes how to create objects that represent a dimension and the levels and hierarchies of a dimension.

Creating and Mapping Dimensions

An OLAP dimension is represented by the MdmPrimaryDimension class. A dimension is owned by an MdmDatabaseSchema. You create a dimension with the findOrCreateTimeDimension or the findOrCreateStandardDimension method of the MdmDatabaseSchema. You can map a dimension that has no levels to a relational data source by creating a MemberListMap for the dimension.

Example 4-2 creates a standard dimension that has the name CHANNEL_AWJ. The example creates an AWPrimaryDimensionOrganization object to deploy the dimension in an analytic workspace. The mdmDBSchema and aw objects are created by Example 4-1. The last three lines call the methods of Example 4-3, Example 4-4, and Example 4-9, respectively.

Example 4-2 Creating and Deploying an MdmStandardDimension

MdmStandardDimension mdmChanDim =
  mdmDBSchema.findOrCreateStandardDimension("CHANNEL_AWJ");
AWPrimaryDimensionOrganization awChanDimOrg = 
  mdmChanDim.findOrCreateAWPrimaryDimensionOrganization(aw);

createAndMapDimensionLevels(mdmChanDim);
createAndMapHierarchies();
commit(mdmChanDim);

Creating and Mapping Dimension Levels

An MdmDimensionLevel represents the members of a dimension that are at the same level. Typically, the members of a level are in a column in a dimension table in the relational source. A MemberListMap associates the MdmDimensionLevel with the relational source.

Example 4-3 creates two MdmDimensionLevel objects for the CHANNEL_AWJ dimension and maps the dimension levels to the key columns of the GLOBAL.CHANNEL_DIM table. The example also maps the long description attributes for the dimension levels to columns of that table. The long description attribute, chanLongDescAttr, is created by Example 4-6.

Example 4-3 Creating and Mapping an MdmDimensionLevel

private ArrayList<MdmDimensionLevel> dimLevelList = new ArrayList();
private ArrayList<String> dimLevelNames = new ArrayList();
private ArrayList<String> keyColumns = new ArrayList();
private ArrayList<String> lDescColNames = new ArrayList();

private void createAndMapDimensionLevels(MdmPrimaryDimension mdmChanDim)
{
  dimLevelNames.add("TOTAL_CHANNEL");
  dimLevelNames.add("CHANNEL");

  keyColumns.add("GLOBAL.CHANNEL_DIM.TOTAL_ID");
  keyColumns.add("GLOBAL.CHANNEL_DIM.CHANNEL_ID");

  lDescColNames.add("GLOBAL.CHANNEL_DIM.TOTAL_DSC");
  lDescColNames.add("GLOBAL.CHANNEL_DIM.CHANNEL_DSC");

  // Create the MdmDimensionLevel and MemberListMap objects.
  int i = 0;
  for(String dimLevelName : dimLevelNames)
  {
    MdmDimensionLevel mdmDimLevel = 
      mdmChanDim.findOrCreateDimensionLevel(dimLevelNames.get(i));
    dimLevelList.add(mdmDimLevel);

    // Create a MemberListMap for the dimension level.
    MemberListMap mdmDimLevelMemListMap = 
      mdmDimLevel.findOrCreateMemberListMap();
    ColumnExpression keyColExp = 
      (ColumnExpression)SyntaxObject.fromSyntax(keyColumns.get(i),
                                                metadataProvider);
    mdmDimLevelMemListMap.setKeyExpression(keyColExp);
    mdmDimLevelMemListMap.setQuery(keyColExp.getQuery());

    // Create an attribute map for the Long Description attribute.
    AttributeMap attrMapLong = 
      mdmDimLevelMemListMap.findOrCreateAttributeMap(chanLongDescAttr);

    // Create an expression for the attribute map.
    Expression lDescColExp = 
      (Expression)SyntaxObject.fromSyntax(lDescColNames.get(i),
                                          metadataProvider);
    attrMapLong.setExpression(lDescColExp);
    i++;
  }
}

Creating and Mapping Hierarchies

An MdmHierarchy represents a hierarchy in the dimensional object model. An MdmHierarchy can be an instance of the MdmLevelHierarchy or the MdmValueHierarchy class. An MdmLevelHierarchy has an ordered list of MdmHierarchyLevel objects that relate MdmDimensionLevel objects to the hierarchy.

Creating and Mapping an MdmLevelHierarchy

Example 4-4 creates a hierarchy for the CHANNEL_AWJ dimension. It creates hierarchy levels for the hierarchy and associates attributes with the hierarchy levels. It also maps the hierarchy levels and the attributes to relational sources. The example uses the ArrayList objects from Example 4-3. It maps the MdmHierarchyLevel objects to the same relational source objects as the MdmDimensionLevel objects are mapped.

Example 4-4 Creating and Mapping MdmLevelHierarchy and MdmHierarchyLevel Objects

private void createAndMapHierarchies()
{
  MdmLevelHierarchy mdmLevelHier =
    mdmChanDim.findOrCreateLevelHierarchy("CHANNEL_PRIMARY");

  // Create the MdmHierarchyLevel and HierarchyLevelMap objects.
  int i = 0;
  for(String dimLevelName : dimLevelNames)
  {
    MdmDimensionLevel mdmDimLevel = 
      mdmChanDim.findOrCreateDimensionLevel(dimLevelName);
    MdmHierarchyLevel mdmHierLevel = 
      mdmLevelHier.findOrCreateHierarchyLevel(mdmDimLevel);
    HierarchyLevelMap hierLevelMap =
      mdmHierLevel.findOrCreateHierarchyLevelMap();
    ColumnExpression keyColExp = 
      (ColumnExpression)SyntaxObject.fromSyntax(keyColumns.get(i),
                                                metadataProvider);
    hierLevelMap.setKeyExpression(keyColExp);
    hierLevelMap.setQuery(keyColExp.getQuery());
    i++;
  }
}

Creating and Mapping an MdmValueHierarchy

The GLOBAL_AWJ analytic workspace that is used by the examples in this documentation does not have an MdmPrimaryDimension for which an MdmValueHierarchy would be sensible. The sample schema for the user SCOTT has a table that can serve as an example.

The SCOTT sample schema has a table named EMP. That table has columns for employees and for managers. You could create a dimension for employees. You could then create an MdmValueHierarchy in which you map the employee column as the base values for the hierarchy and you map the manager column as the parent relation, as shown in Example 4-5. To be able to create OLAP dimensions, the SCOTT user must be granted the OLAP_USER role and the CREATE SESSION privilege.

In the example, mdmDBSchema is the MdmDatabaseSchema for the SCOTT user, dp is the DataProvider, and mp is the MdmMetadataProvider. The example does not show the code for connecting to the database or getting the DataProvider and creating a UserSession, or getting the MdmMetadataProvider, the MdmRootSchema, or the MdmDatabaseSchema. The code is an excerpt from a class that extends the BaseExample11g example class. That class uses other example classes that have methods for committing the current Transaction and for displaying output. For the complete code, see the CreateValueHierarchy.java example program.

Example 4-5 Creating an MdmValueHierarchy

// Create an analytic workspace object.
AW aw = mdmDBSchema.findOrCreateAW(awName);
// Create a dimension and deploy it to the analytic workspace.
MdmPrimaryDimension mdmEmpDim =
  mdmDBSchema.findOrCreateStandardDimension("EMP_DIM");
AWPrimaryDimensionOrganization awEmpDimOrg =
  mdmEmpDim.findOrCreateAWPrimaryDimensionOrganization(aw);

// Get the EMP table and the Query for the table.
MdmTable empTable = (MdmTable)mdmDBSchema.getTopLevelObject("EMP");
Query empQuery = empTable.getQuery();

// Create a value hierarchy. 
MdmValueHierarchy mdmValHier =
 mdmEmpDim.findOrCreateValueHierarchy("EMPVALHIER");
// Create a map for the hierarchy.
SolvedValueHierarchyMap solvedValHierMap =
 mdmValHier.findOrCreateSolvedValueHierarchyMap();
// Specify the Query, the key expression and the parent key expression for
// the hierarchy.
solvedValHierMap.setQuery(empQuery);
Expression keyExp =
 (Expression)SyntaxObject.fromSyntax("SCOTT.EMP.EMPNO", mp);
solvedValHierMap.setKeyExpression(keyExp);
Expression parentExp =
 (Expression)SyntaxObject.fromSyntax("SCOTT.EMP.MGR", mp);
solvedValHierMap.setParentKeyExpression(parentExp);

// Create an attribute that relates a name to each dimension member.
MdmBaseAttribute mdmNameAttr = 
 mdmEmpDim.findOrCreateBaseAttribute("EMP_NAME");
SQLDataType sdtVC2 = new SQLDataType("VARCHAR2");
mdmNameAttr.setSQLDataType(sdtVC2)
// Create an attribute map for the attribute.
AttributeMap attrMap =
 solvedValHierMap.findOrCreateAttributeMap(mdmNameAttr);
// Create and set an expression for the attribute map.
Expression exp = (Expression)
  SyntaxObject.fromSyntax("SCOTT.EMP.ENAME", mp);
attrMap.setExpression(exp);
mdmValHier.addAttribute(mdmNameAttr);
 
// Commit the Transaction before building the analytic workspace.
// The getContext method of BaseExample11g returns a Context11g object,
// which has a method that commits the Transaction.
getContext().commit();
BuildItem bldEmpDim = new BuildItem(mdmEmpDim);
ArrayList<BuildItem> items = new ArrayList();
items.add(bldEmpDim);
BuildProcess bldProc = new BuildProcess(items);
 
// Execute the build.
try
{
 dp.executeBuild(bldProc, 0);
}
catch (Exception ex)
{
 println("Could not execute the BuildProcess.");
 println("Caught: " + ex);
}

//Get the Source objects for the dimension, the hierarchy, and the attribute.
Source empDim = mdmEmpDim.getSource();
Source valHier = mdmValHier.getSource();
Source empNameAttr = mdmNameAttr.getSource();
// Get the parent attribute and get the Source for it.
MdmAttribute mdmParentAttr = mdmEmpDim.getParentAttribute();
Source parentAttr = mdmParentAttr.getSource();

Source parentByEmpByName = parentAttr.join(valHier.join(empNameAttr));
// Sort the values in ascending order by employee number of the managers.
Source sortedParentByEmpByName = parentByEmpByName.sortAscending();

// Commit the Transaction before creating a Cursor.
getContext().commit();
// The displayResult method of the Context11g object creates a Cursor and 
// displays the results.
println("The managers of the employees are:");
getContext().displayResult(sortedParentByEmpByName);

The output of Example 4-5 is the following. It shows the employee name, the employee ID and then the employee ID of the manager. The results are sorted by manager. The employee King does not have a parent and is the highest member of the hierarchy so the manager value for King is null, which appears as NA in the output.

The managers of the employees are:
1: ((SCOTT,EMPVALHIER::7788),EMPVALHIER::7566)
2: ((FORD,EMPVALHIER::7902),EMPVALHIER::7566)
3: ((ALLEN,EMPVALHIER::7499),EMPVALHIER::7698)
4: ((WARD,EMPVALHIER::7521),EMPVALHIER::7698)
5: ((MARTIN,EMPVALHIER::7654),EMPVALHIER::7698)
6: ((TURNER,EMPVALHIER::7844),EMPVALHIER::7698)
7: ((JAMES,EMPVALHIER::7900),EMPVALHIER::7698)
8: ((MILLER,EMPVALHIER::7934),EMPVALHIER::7782)
9: ((ADAMS,EMPVALHIER::7876),EMPVALHIER::7788)
10: ((JONES,EMPVALHIER::7566),EMPVALHIER::7839)
11: ((BLAKE,EMPVALHIER::7698),EMPVALHIER::7839)
12: ((CLARK,EMPVALHIER::7782),EMPVALHIER::7839)
13: ((SMITH,EMPVALHIER::7369),EMPVALHIER::7902)
14: ((KING,EMPVALHIER::7839),NA)

Creating Attributes

Attributes contain information about dimension members. An MdmBaseAttribute represents values that are based on relational source tables. An MdmDerivedAttribute represents values that Oracle OLAP derives from characteristics or relationships of the dimension members. For example, the getParentAttribute method of an MdmPrimaryDimension returns an MdmDerivedAttribute that records the parent of each dimension member.

You create a base attribute for a dimension with the findOrCreateBaseAttribute method. You can specify the data type of the attribute, although for many attributes Oracle OLAP can determine the data type from the attribute mapping. With the setAllowAutoDataTypeChange method, you can specify that Oracle OLAP determine the data type. Some attributes are used by the dimension in certain ways, such as to provide descriptions of dimension members or to provide date information that can be used in calculations. For example, you can specify an attribute for descriptions with the setValueDescriptionAttribute method of the dimension and you can specify an attribute that contains end date time period values with the setEndDateAttribute method of an MdmTimeDimension.

Example 4-6 creates a long description attribute for the CHANNEL_AWJ dimension and specifies it as the attribute that contains descriptions of the members of the dimension. The example specifies that Oracle OLAP automatically determines a SQL data type for the attribute.

Example 4-6 Creating an MdmBaseAttribute

private MdmBaseAttribute chanLongDescAttr = null;
private void createLongDesciptionAttribute(MdmPrimaryDimension mdmChanDim)
{
// Create the long description attribute and allow the automatic changing of
// the SQL data type.
chanLongDescAttr = mdmChanDim.findOrCreateBaseAttribute("LONG_DESCRIPTION");
chanLongDescAttr.setAllowAutoDataTypeChange(true));

// Specifies that the attribute contains descriptions of the dimension members.
mdmChanDim.setValueDescriptionAttribute(chanLongDescAttr);
}

An attribute can have different values for the members of different levels of the dimension. In that case the attribute has an attribute mapping for each level. Example 4-3 creates an AttributeMap for the long description attribute for each dimension level by calling the findOrCreateAttributeMap method of the MemberListMap for each dimension level. It specifies a different column for each attribute map.

Creating Cubes and Measures

A cube in a dimensional object model is represented by the MdmCube class. An MdmCube owns one or more MdmMeasure objects. It has a list of the MdmPrimaryDimension objects that dimension the measures.

An MdmCube has the following objects associated with it.

Creating Cubes

This topic has an example that creates a cube and some of the objects associated with it. Example 4-7 creates an MdmCube that has the name PRICE_CUBE_AWJ. The example creates an AWCubeOrganization object to deploy the cube in an analytic workspace. The mdmDBSchema and aw objects are created by Example 4-1 and the leafLevel ArrayList is created in Example 4-4. The mdmTimeDim and mdmProdDim objects are dimensions of time periods and product categories. The CreateAndBuildAW program creates those dimensions. The last lines of the example call the methods in Example 4-8 and Example 4-9, respectively.

Example 4-7 Creating and Mapping an MdmCube

private MdmCube createAndMapCube(MdmPrimaryDimension mdmTimeDim,
                                 MdmPrimaryDimension mdmProdDim)
{
  MdmCube mdmPriceCube = mdmDBSchema.findOrCreateCube("PRICE_CUBE_AWJ");
  // Add dimensions to the cube.
  mdmPriceCube.addDimension(mdmTimeDim);
  mdmPriceCube.addDimension(mdmProdDim);

  AWCubeOrganization awCubeOrg =
    mdmPriceCube.findOrCreateAWCubeOrganization(aw);
  awCubeOrg.setMVOption(AWCubeOrganization.NONE_MV_OPTION);
  awCubeOrg.setMeasureStorage(AWCubeOrganization.SHARED_MEASURE_STORAGE);
  awCubeOrg.setCubeStorageType("NUMBER");

  AggregationCommand aggCommand = new AggregationCommand("AVG");
  ArrayList<ConsistentSolveCommand> solveCommands = new ArrayList();
  solveCommands.add(aggCommand);
  ConsistentSolveSpecification conSolveSpec = 
                      new ConsistentSolveSpecification(solveCommands);
  mdmPriceCube.setConsistentSolveSpecification(conSolveSpec);

  // Create and map the measures of the cube.
  createAndMapMeasures(mdmPriceCube);
  // Commit the Transaction.
  commit(mdmPriceCube); 
}

Creating and Mapping Measures

This topic has an example that creates measures for a cube and maps the measures to fact tables in the relational database. The example uses the cube created by Example 4-7.

Example 4-8 Creating and Mapping Measures

private void createAndMapMeasures(MdmCube mdmPriceCube)
{
  ArrayList<MdmBaseMeasure> measures = new ArrayList();
  MdmBaseMeasure mdmCostMeasure =
    mdmPriceCube.findOrCreateBaseMeasure("UNIT_COST");
  MdmBaseMeasure mdmPriceMeasure =
    mdmPriceCube.findOrCreateBaseMeasure("UNIT_PRICE");
  mdmCostMeasure.setAllowAutoDataTypeChange(true);
  mdmPriceMeasure.setAllowAutoDataTypeChange(true);
  measures.add(mdmCostMeasure);
  measures.add(mdmPriceMeasure);
  MdmTable priceCostTable = 
    (MdmTable)mdmDBSchema.getTopLevelObject("PRICE_FACT"); 
  Query cubeQuery = priceCostTable.getQuery();
  ArrayList<String> measureColumns = new ArrayList();
  measureColumns.add("GLOBAL.PRICE_FACT.UNIT_COST");
  measureColumns.add("GLOBAL.PRICE_FACT.UNIT_PRICE");
  CubeMap cubeMap = mdmPriceCube.findOrCreateCubeMap();
  cubeMap.setQuery(cubeQuery);

  // Create MeasureMap objects for the measures of the cube and
  // set the expressions for the measures. The expressions specify the
  // columns of the fact table for the measures.
  int i = 0;
  for(MdmBaseMeasure mdmBaseMeasure : measures)
  {
    MeasureMap measureMap = cubeMap.findOrCreateMeasureMap(mdmBaseMeasure);
    Expression expr =
      (Expression)SyntaxObject.fromSyntax(measureColumns.get(i), 
                                          metadataProvider);
    measureMap.setExpression(expr);
    i++;
  }

  // Create CubeDimensionalityMap objects for the dimensions of the cube and
  // set the expressions for the dimensions. The expressions specify the
  // columns of the fact table for the dimensions.

  ArrayList<String> factColNames = new ArrayList();
  factColNames.add("GLOBAL.PRICE_FACT.MONTH_ID");
  factColNames.add("GLOBAL.PRICE_FACT.ITEM_ID");
  List<MdmDimensionality> mdmDimltys = mdmPriceCube.getDimensionality();
  for (MdmDimensionality mdmDimlty: mdmDimltys)
  {
    CubeDimensionalityMap cubeDimMap = 
      cubeMap.findOrCreateCubeDimensionalityMap(mdmDimlty);
    MdmPrimaryDimension mdmPrimDim = 
      (MdmPrimaryDimension)mdmDimlty.getDimension();
    String columnMap = null;
    if (mdmPrimDim.getName().startsWith("TIME"))
    {
      columnMap = factColNames.get(0);
      i = 0;
    }
    else// (mdmPrimDim.getName().startsWith("PRODUCT"))
    {
      columnMap = factColNames.get(1);
      i = 1;
    }
    Expression expr =
      (Expression)SyntaxObject.fromSyntax(columnMap,metadataProvider);
    cubeDimMap.setExpression(expr);

    // Associate the leaf level of the hierarchy with the cube.
    MdmHierarchy mdmDefHier = mdmPrimDim.getDefaultHierarchy();
    MdmLevelHierarchy mdmLevHier = (MdmLevelHierarchy)mdmDefHier;
    List<MdmHierarchyLevel> levHierList = mdmLevHier.getHierarchyLevels();
    // The last element in the list must be the leaf level of the hierarchy.
    MdmHierarchyLevel leafLevel = levHierList.get(levHierList.size() - 1);
    cubeDimMap.setMappedDimension(leafLevel);
  }
}

Committing Transactions

To save a metadata object as a persistent entity in the database, you must commit the Transaction in which you created the object. You can commit a Transaction at any time. Committing the Transaction after creating a top-level object and the objects that it owns is a good practice.

Example 4-9 gets the TransactionProvider from the DataProvider for the session and commits the current Transaction.

Example 4-9 Committing Transactions

private void commit(MdmSource mdmSource)
{
  try 
  {
    System.out.println("Committing the transaction for " + 
                        mdmSource.getName() + ".");      
    (dp.getTransactionProvider()).commitCurrentTransaction();
  } 
  catch (Exception ex) 
  {
    System.out.println("Could not commit the Transaction. " + ex);
  } 
}

Exporting and Importing XML Templates

You can save the definition of a metadata object by exporting the object to an XML template. Exporting an object saves the definition of the object and the definitions of any objects that it owns. For example, if you export an AW object to XML, then the XML includes the definitions of any MdmPrimaryDimension and MdmCube objects that the AW owns, and the MdmAttribute, MdmMeasure and other objects owned by the dimensions and cubes.

Example 4-10 exports metadata objects to an XML template and saves it in a file. The code excerpt at the beginning of the example creates a List of the objects to export. It adds to the List the aw object, which is the analytic workspace created by Example 4-1. It then calls the exportToXML method.

Example 4-10 Exporting to an XML Template

 ... // In some method.
List objectsToExport = new ArrayList();
objectsToExport.add(aw);
exportToXML(objectsToExport, "globalawj.xml");
...
public void exportToXML(List objectsToExport, String fileName)
{
  try
  {
    PrintWriter writer = new PrintWriter(new FileWriter(filename));
    mp.exportFullXML(writer,         // mp is the MdmMetadataProvider
                     objectsToExport,
                     null,           // No Map for renaming objects
                     false);         // Do not include the owner name
    writer.close();
  }
  catch (IOException ie)
  {
    ie.printStackTrace();
  }
}

You can import a metadata object definition as an XML template. After importing, you must build the object.

Building an Analytic Workspace

After creating and mapping metadata objects, or importing the XML definition of an object, you must perform the calculations that the objects specify and load the resulting data into physical storage structures.

Example 4-11 creates BuildItem objects for the dimensions and cubes of the analytic workspace. It creates a BuildProcess that specifies the BuildItem objects and passes the BuildProcess to the executeBuild method of the DataProvider for the session.

Example 4-11 Building an Analytic Workspace

BuildItem bldChanDim = new BuildItem(mdmChanDim);
BuildItem bldProdDim = new BuildItem(mdmProdDim);
BuildItem bldCustDim = new BuildItem(mdmCustDim);
BuildItem bldTimeDim = new BuildItem(mdmTimeDim);
BuildItem bldUnitsCube = new BuildItem(mdmUnitsCube);
BuildItem bldPriceCube = new BuildItem(mdmPriceCube);
ArrayList<BuildItem> items = new ArrayList();
items.add(bldChanDim);
items.add(bldProdDim); 
items.add(bldCustDim);
items.add(bldTimeDim);
items.add(bldUnitsCube);
items.add(bldPriceCube);
BuildProcess bldProc = new BuildProcess(items);
try 
{
  dp.executeBuild(bldProc, 0);
} 
catch (Exception ex) 
{
  System.out.println("Could not execute the BuildProcess." + ex);
}