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Friday 12 November 2010

Shahed

OBIEE 11g Generate Repository Documentation

Generating Documentation of Repository Mappings


Run the Documentation Wizard.. And use the extract within your AIM Documentation or any other technical docs that are required on your project.


The Repository Documentation utility documents the mapping from the presentation
columns to the corresponding logical and physical columns. The documentation also
includes conditional expressions associated with the columns. The documentation can
be saved in comma separated (CSV), XML, or tab delimited (TXT) format.

You can use the Repository Documentation utility to extract Oracle Business Intelligence metadata to a flat file so that it can be loaded into Excel and RDBMS. You can query the resulting file to answer questions such as "If I delete physical column X, what logical columns will be affected?" or "How many places in the business model refer to the physical table W_SRVREQ_F?" Then, you can establish dependency relationships among elements in the repository.


Excel only allows data sets of 1,000,000 rows. You might exceed this in a large repository. Therefore, you might want to run the Repository Documentation utility on a subset of the repository by extracting relevant business models into a new project.


The Repository Documentation utility creates a comma-separated values file or a tab-separated values file that shows the connections between the Presentation and Physical layers in the current repository. This file can be imported into a repository as a Physical layer. Note that the file does not include information about repository variables and marketing objects.


To run the Repository Documentation utility:


1. In the Administration Tool, select Tools, then select Utilities.


2. Select Repository Documentation and click Execute.


3. In the Save As dialog, choose the directory where you want to save the file.


4. Type a name for the file.

5. Choose a type of file and an Encoding value, and then click Save. Current


encoding options are ANSI, Unicode, and UTF-8.

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Shahed Munir

Krishna Udathu

Shahed and Krishna are Oracle / Big Data Experts