Results for “ce_fc_rx_title4_v”

AI-generated from documented ETRM metadata — verify critical details on the linked pages.

Overview

CE_FC_RX_TITLE4_V is a reporting view owned by the APPS schema in Oracle E-Business Suite, belonging to the Cash Management (CE) product family. It is documented in ETRM as a VALID view with the description "Retrofitted," indicating it was carried forward from an earlier release into the 12.1.1 and 12.2.2 code lines, most likely to preserve backward compatibility for existing reports, concurrent programs, or custom integrations. The view exposes forecast column titles used by the Cash Forecasting engine, specifically the Title 4 grouping (columns 37 through 48), one of the numbered title blocks that make up the cash forecast worksheet layout.

Functionally, the view answers a narrow question: for each forecast, what are the descriptive header labels associated with a specific block of forecast period columns? Rather than returning transactional forecast amounts, it returns display metadata — the column titles that label periods or scenarios in a forecast report. This makes it a presentation-layer artifact rather than a data-capture object.

Underlying Base Objects

The view is defined exclusively over a single documented base object: APPS.CE_FC_RX_COLUMN_TITLE_V, itself a view. The definition wraps that source view in an aggregation:

• All columns from CE_FC_RX_COLUMN_TITLE_V are consumed, with MAX() applied to each of COLUMN37 through COLUMN48.
• A GROUP BY F.FORECAST_NAME clause folds the rows so that exactly one row is returned per forecast name.
• Because MAX() is applied to character title columns, the result is effectively an arbitrary-but-deterministic collapse of any duplicate title rows for a forecast; where titles are identical per forecast, this is a no-op.

No direct dependency on physical tables such as CE_FORECASTS or CE_FORECAST_COLUMNS is documented for this object; any such lineage is inherited through CE_FC_RX_COLUMN_TITLE_V. Users should trace that view for full lineage.

Key Columns

• FORECAST_NAME — the grouping key and the primary identifier exposed. It names the cash forecast whose column titles are being presented.
• COLUMN37 through COLUMN48 — twelve positional title columns. Each corresponds to a forecast worksheet column position and carries the descriptive heading text that appears in reports for that position.

All twelve title columns are character data and are each passed through an aggregate function, so their values represent the surviving title text for the forecast. The consistent "COLUMNnn" naming reflects the fixed-width, positional design of the underlying Cash Forecasting report layout, in which adjacent numbered blocks (for example Title 1 through Title 4) map to successive groups of worksheet columns.

Common Use Cases and Queries

This view is typically used when building or troubleshooting cash forecast reports that must render the correct period or scenario headings, and when validating that title metadata has been populated for a given forecast. A representative query retrieves titles for a single forecast:

SELECT forecast_name, column37, column38, column39, column40, column41, column42, column43, column44, column45, column46, column47, column48 FROM apps.ce_fc_rx_title4_v WHERE forecast_name = :p_forecast_name;

To list all forecasts that have any Title 4 heading defined:

SELECT forecast_name FROM apps.ce_fc_rx_title4_v WHERE COALESCE(column37, column38, column39, column40, column41, column42, column43, column44, column45, column46, column47, column48) IS NOT NULL ORDER BY forecast_name;

• Joining this view to a forecast header or forecast amount query by FORECAST_NAME to supply display labels in a custom report.
• Diagnosing blank column headings in a cash forecast output by checking whether the expected Title 4 columns are populated.
• Comparing title blocks (Title 1, 2, 3, 4 views) to confirm positional alignment across the worksheet layout.

Because the view is a read-only, aggregation-based reporting object, it is safe for query use in custom SQL and BI Publisher data templates, but is not intended as a target for DML.