JTF Grid Datasources
Description:
JTF grid (CRM spreadtable) datasource and column definition
Parameters
Datasource Name
Used tables
jtf_grid_datasources_vl, jtf_grid_cols_vl
Categories
Related reports
Dependencies
If you would like to try one of these Oracle EBS SQLs without having Blitz Report installed, note that some of the reports require functions from utility package xxen_util.
Example Report
JTF Grid Datasources 23-May-2018 140447.xlsx
Report SQL
www.enginatics.com/reports/jtf-grid-datasources/
Blitz Report™ import options
JTF Grid Datasources - Case Study & Technical Analysis
Executive Summary
The JTF Grid Datasources report is a technical configuration report for the Oracle CRM Foundation (JTF) framework. It documents the setup of “JTF Grids” (also known as Spreadtables), which are the dynamic, spreadsheet-like tables used in many Oracle CRM web applications (like Sales Online, Service Online).
Business Challenge
Customizing or debugging Oracle CRM web pages requires understanding the underlying data structures.
- UI Customization: “We want to add a new column to the ‘My Opportunities’ table. Which datasource controls that grid?”
- Performance Tuning: “The ‘Service Request’ list is loading slowly. What SQL query is behind it?”
- Hidden Columns: “Is there a ‘Profit Margin’ column available in the grid that is just hidden by default?”
Solution
The JTF Grid Datasources report lists the definition of these grids. It exposes the SQL query, column definitions, and data types.
Key Features:
- Datasource Definition: Shows the underlying SQL or View used by the grid.
- Column Metadata: Lists every available column, its data type, and whether it is sortable or filterable.
- Customization Visibility: Shows if the grid has been customized by the user or administrator.
Technical Architecture
The report queries the JTF Grid metadata tables.
Key Tables and Views
JTF_GRID_DATASOURCES_VL: The header definition of the grid datasource.JTF_GRID_COLS_VL: The definition of columns within the grid.
Core Logic
- Retrieval: Selects the datasource definition based on the name.
- Detailing: Joins to the column table to list all fields.
- Analysis: Can be used to compare the standard seeded definition against any custom overrides.
Business Impact
- Development Efficiency: Accelerates the customization of CRM UIs by providing a map of the backend data.
- Troubleshooting: Helps identify why data is not appearing correctly in the web interface.
- Upgrade Analysis: Helps identify customizations that might be overwritten during an upgrade.
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