Data templates in BIP

There is so much to talk about but what I haven’t discuss right now is extra functionality in Data Templates. Features that you can use to allow more complexity into your templates.

One of the advantages of data templates is the use of Report Triggers. These triggers will handle a specific sequence. So, the sequence of execution seems to be:

  • Before Report Trigger
  • Data Query (SQL statement)
  • After Report Trigger
  • Output Post Processor

Another thing, maybe not so important for all of you, is that you specify extra options into your data templates to debug better your report or to get more information about a report. These elements are called properties of a data template.

A data template consists of following elements:

&ltdataTemplate name="&ltname&gt" description="&ltdesc&gt"
   dataSourceRef="&ltdatasource&gt" Version="1.0"&gt
&ltproperty name="showControls" value="false"/&gt
&ltproperty name="online" value="true"/&gt
&ltproperty name="parameterColumns" value="3"/&gt
&ltproperty name="openLinkInNewWindow" value="true"/&gt
&ltsqlStatement name="Q1"&gt
&lt![CDATA[select ID from dual]]&gt
&ltgroup name="ROW" source="Q1"&gt
&ltelement name="ID" value="ID"/&gt

The default properties are present in bold. You find a list below that you can use to extend your report properties.

include_parameters – indicates whether to include parameters in the output.
Valid values:

  • True (default)
  • False

include_null_Element – indicates whether to remove or keep the null elements in the output.
Valid values:

  • True (default)
  • False

xml_tag_case – allows you to set the case for the output XML element names.
Valid values are:

  • Upper (default)
  • Lower
  • As_are (The case will follow the definition in the dataStructure section)

db_fetch_size – sets the number of rows fetched at a time through the JDBC connection. The default value is 500.

scalable_mode – sets the data engine to execute in scalable mode. This is required when processing a large volume of data.
Valid values:

  • On
  • Off (default)

include_rowsettag – allows you to include or exclude the Rowset Tag from the output.
Valid values:

  • True (default)
  • False

debug_mode – turns debug mode on or off.
Valid values:

  • On
  • Off (default)

Example of Use:
&ltproperty name=” include_parameters ” value=” false “/&gt

RPE-02062: Itemtype cannot be dropped as it has a running process.

When deploying a process flow using the control center of OWB (11r1), following error is raised:

Error: RPE-02062: ItemType PKG cannot be dropped as it has running Processes. You must first abort all the running processes using the Oracle Workflow Monitor.
INFORMATIONALRPE-02071: Deployment has been aborted due to a previously reported critial error.

I used following steps to solve the issue:

Step1: Find the running processes:

SQL*Plus: Release – Production on Tue Jul 1 10:46:10 2008

Copyright (c) 1982, 2007, Oracle. All rights reserved.

Enter user-name: owf_mgr@DWHD
Enter password:

Connected to:
Oracle Database 11g Enterprise Edition Release – 64bit Production
With the Partitioning, OLAP, Data Mining and Real Application Testing options

OWF_MGR> SELECT item_type, item_key, begin_date, end_date, activity_status
2 FROM wf_item_activity_statuses
3 WHERE activity_status’COMPLETE’
4 AND item_type = ‘PKG’;

ITEM_TYP···ITEM_KEY·································BEGIN_DAT··· END_DATE···ACTIVITY
PKG·········WB_IK_20080627_200542_108294···27-JUN-08····················· NOTIFIED


Step 2: Remove the active process

2 WF_ENGINE.ABORTPROCESS(‘PKG’, ‘WB_IK_20080627_200542_108294′);
3 END;
4 /

PL/SQL procedure successfully completed.

OWF_MGR> commit;

Commit complete.


Step 3 Redeploy the process flow

From the logs: