Results for “ce_fc_rx_title3_v”

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

Overview

CE_FC_RX_TITLE3_V is a valid, APPS-owned database view within the Cash Management (CE) module of Oracle E-Business Suite, documented in ETRM for releases 12.1.1 and 12.2.2. It forms part of the cash forecasting infrastructure and is explicitly labelled as "Retrofitted," indicating that it was migrated or re-created to preserve backward compatibility with earlier forecasting reports and integrations. In EBS Cash Management, forecast worksheets present projected cash positions over a series of user-defined time buckets, each with a descriptive column heading. CE_FC_RX_TITLE3_V supplies the title/heading metadata for forecast columns numbered 25 through 36, which correspond to the later buckets in a forecast worksheet. Its role is to consolidate those column headings into a single row per forecast, so that reporting tools, concurrent programs, and custom extensions can retrieve a stable, view-based representation of forecast column titles without querying the underlying title structure directly. Because it is a reporting-oriented view, it exposes no update or DML semantics and is intended purely for read access.

Underlying Base Objects

The view is defined over a single documented base object: CE_FC_RX_COLUMN_TITLE_V, itself a view rather than a table. The defining SQL is:

• SELECT F.FORECAST_NAME, MAX(COLUMN25) ... MAX(COLUMN36) FROM CE_FC_RX_COLUMN_TITLE_V F GROUP BY F.FORECAST_NAME

CE_FC_RX_COLUMN_TITLE_V stores the individual column-title rows for a forecast, keyed by forecast name and column position. CE_FC_RX_TITLE3_V aggregates the segment covering columns 25 through 36 by grouping on FORECAST_NAME and applying MAX to each column attribute. The grouping is a pivot-style transformation that collapses the multi-row title source into one row per forecast, ensuring a deterministic value is returned for each title slot even if multiple underlying rows exist. The "TITLE3" naming convention indicates this is the third title-extraction view in a series, together with sibling views handling earlier column ranges. Because both the base and derived objects are views, the actual forecast data resides deeper in the Cash Management forecast table family, but CE_FC_RX_TITLE3_V depends only on the documented CE_FC_RX_COLUMN_TITLE_V layer.

Key Columns

• FORECAST_NAME — The forecast identifier/name; serves as the grouping key and the join column to forecast data sets.
• COLUMN25 through COLUMN36 — Twelve title columns, each representing the descriptive heading for the corresponding forecast worksheet bucket in the 25–36 range. Each value is the heading text (or max-derived heading) for that position, obtained via MAX from CE_FC_RX_COLUMN_TITLE_V.

The column names are positional rather than semantic; the actual time-bucket meaning (for example, week 25, month 25, or a period label) is determined by the forecast definition and the column-title mapping maintained in the base view.

Common Use Cases and Queries

Primary use cases include: (1) retrieving the column headings for buckets 25–36 when rendering a forecast worksheet report; (2) joining headings to forecast amounts by FORECAST_NAME to produce a fully labelled forecast output; and (3) validating that title metadata exists for all expected forecast columns.

• List titles for a specific forecast:
  SELECT FORECAST_NAME, COLUMN25, COLUMN26, COLUMN27, COLUMN28, COLUMN29, COLUMN30, COLUMN31, COLUMN32, COLUMN33, COLUMN34, COLUMN35, COLUMN36 FROM APPS.CE_FC_RX_TITLE3_V WHERE FORECAST_NAME = :p_forecast_name;
• Count forecasts with populated later-bucket titles:
  SELECT COUNT(*) FROM APPS.CE_FC_RX_TITLE3_V WHERE COLUMN25 IS NOT NULL OR COLUMN36 IS NOT NULL;
• Join to forecast data by forecast name:
  SELECT t.FORECAST_NAME, t.COLUMN25, f.amount FROM APPS.CE_FC_RX_TITLE3_V t, <forecast_data> f WHERE t.FORECAST_NAME = f.FORECAST_NAME;

Because the view aggregates with MAX and groups by FORECAST_NAME, queries should always filter or join on FORECAST_NAME for predictable performance. Access is read-only and governed by standard APPS schema grants.