Ir Meta Data Guide

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Learn Hyperion/OBIEE
By
Amit Sharma

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Managing Metadata In Hyperion Interactive Report(Brio):- A data model, a focused visual representation of
the actual database tables. A Data Model displays database tables as topics in the Contents frame. Topics
are visually joined together like database tables and contain related items used to build a query. If the
same Data Model wants to use for future queries, you can promote it to a master data model and lock its
basic property design. This feature enables you to generate future queries without having to recreate the
Data Model. An Interactive Reporting document file can contain any number of master data models from
which any numbers of queries can be generated.

The below example is created based on Sample Database available with IR.

To create a Data Model like given above, just select the table(s) and drag and drop on content pane. And join them
based on the information availble in Data Model Documents in HLD.

Metatopics and metadata enable advanced users to mask the more confusing technical aspects of
databases for non-technical users. While data models are already simplified views of the database, they
sometimes still present a challenge to novice users. This is especially true when confusing database names
and complicated strategies are visible in the data model.



Once the Data Model is ready to use and you want the same data model should be used for further queries so
promote the data model to Master Data Model.



• Metatopics—Topics created from items in other topics. Metatopics are higher level topics, or
“virtual topics” that simplify the data model structure and make joins transparent. A metatopic
looks and behaves like any other topic and can accept modifications and metadata.
• Metadata—Data about data. Typically stored in database tables, and often associated with data
warehousing, metadata describes the history, content, and function of database tables, columns,
and joins in understandable business terms.

It’s become quite challenging to manage mapping between MetaTopic and actual table when we have
large number of tables and the model become so complex. To eliminate the complexity and ease the work I
have written a custom script, which will export all joining info and MetaTopic and actual Table mapping in
excel sheet. Below the script given



Command Button for Generating the Metadata Mapping

Excel = new JOOLEObject("Excel.Application");
Excel.Visible = true;
Excel.Workbooks.Add;

Topic = ActiveDocument.Sections["MasterDataModel"].DataModel.Topics["Product Sales"]
var NumElements = Topic.TopicItems.Count
var k = 1

for (I = 1; I <= NumElements;I++)
{
a=Topic.TopicItems[I].DisplayName
b = Topic.TopicItems[I].PhysicalName
table = b.substring(0,b.indexOf("."))
column = b.substring(b.indexOf(".")+1)
Excel.Sheets.Item(1).Cells.Item(1).Item(k).Value = a;
//Excel.Sheets.Item(1).Cells.Item(2).Item(k).Value = table ;
//Excel.Sheets.Item(1).Cells.Item(3).Item(k).Value = column ;
Excel.Sheets.Item(1).Cells.Item(3).Item(k).Value = b ;
k = k+1
}

Command Button for Generating the Joining Info

Excel = new JOOLEObject("Excel.Application");
Excel.Visible = true;
Excel.Workbooks.Add;

var k =1
var operator_string = ""
join_count = ActiveDocument.Sections["MasterDataModel"].DataModel.Joins.Count
Console.Writeln("Step 1")
for(i = 1; i<= join_count; i++)
{
cnt=1;
Console.Writeln("Step 2 "+i)
phy_left = ActiveDocument.Sections["MasterDataModel"].DataModel.Joins[i].Topic1Name
phy_left = ActiveDocument.Sections["MasterDataModel"].DataModel.Topics[phy_left ].PhysicalName.split(".");
db_left = phy_left[0];
table_left = phy_left[1];
Excel.Sheets.Item(1).Cells.Item(cnt++).Item(k).Value = db_left
Excel.Sheets.Item(1).Cells.Item(cnt++).Item(k).Value = table_left
Excel.Sheets.Item(1).Cells.Item(cnt++).Item(k).Value =
ActiveDocument.Sections["MasterDataModel"].DataModel.Joins[i].Topic1Name
phy_right= ActiveDocument.Sections["MasterDataModel"].DataModel.Joins[i].Topic2Name
phy_right = ActiveDocument.Sections["MasterDataModel"].DataModel.Topics[phy_right ].PhysicalName.split(".");
db_right = phy_right[0];
table_right = phy_right[1];
Excel.Sheets.Item(1).Cells.Item(cnt++).Item(k).Value = db_right
Excel.Sheets.Item(1).Cells.Item(cnt++).Item(k).Value = table_right
Console.Writeln("Step 5.1 "+i)



//ActiveDocument.Sections["MasterDataModel"].DataModel.Joins[i].Topic2Name

Console.Writeln("Step 5.2 "+i)
var oper
if(i!= 1)
{
if(operator_string == ActiveDocument.Sections["MasterDataModel"].DataModel.Joins[i].Topic1Name +
ActiveDocument.Sections["MasterDataModel"].DataModel.Joins[i].Topic2Name)
oper = "AND"
else
oper = "ON"
}
else
oper = "ON" ;

Excel.Sheets.Item(1).Cells.Item(cnt++).Item(k).Value=oper

operator_string = ActiveDocument.Sections["MasterDataModel"].DataModel.Joins[i].Topic1Name +

ActiveDocument.Sections["MasterDataModel"].DataModel.Joins[i].TopicItem1.DisplayName;
ActiveDocument.Sections["MasterDataModel"].DataModel.Joins[i].TopicItem2.DisplayName;

var temp= ActiveDocument.Sections["MasterDataModel"].DataModel.Joins[i].Type ;

if(temp==7)
{
Excel.Sheets.Item(1).Cells.Item(cnt++).Item(k).Value="EQ"
Excel.Sheets.Item(1).Cells.Item(cnt++).Item(k).Value="LOJ"
}
else if(temp==8)
{
Excel.Sheets.Item(1).Cells.Item(cnt++).Item(k).Value="ROJ"
}
else if(temp==1)
{
}
else if(temp==5)
{
Excel.Sheets.Item(1).Cells.Item(cnt++).Item(k).Value="GT"
}
else if(temp==6)
{
Excel.Sheets.Item(1).Cells.Item(cnt++).Item(k).Value="GE"
}
else if(temp==3)
{
Excel.Sheets.Item(1).Cells.Item(cnt++).Item(k).Value="LT"


}
else if(temp==4)
{
Excel.Sheets.Item(1).Cells.Item(cnt++).Item(k).Value="LE"
}
else if(temp==2)
{
Excel.Sheets.Item(1).Cells.Item(cnt++).Item(k).Value="NE"
}
else
{
Excel.Sheets.Item(1).Cells.Item(cnt++).Item(k).Value="UNK"
Excel.Sheets.Item(1).Cells.Item(cnt++).Item(k).Value="UNK"
}
k = k+1
}
And finally the Excel generated output is.

Business Physical Join Join
Name Name Business Name Physical Name Join ON Join ON Type Type
Sales Product Product
sales_fact Fact products Products ON Key Key EQ EQ
Periods
periods_days Days sales_fact Sales Fact ON Day Key Day Key EQ EQ
stores Stores sales_fact Sales Fact ON Store Key Store Key EQ EQ
Region Region
regions Regions stores Stores ON Key Key EQ EQ
Plan Vs Actual
stores Stores plan_vs_actual_fact Fact ON Store Key Store Key EQ EQ


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