Search Results utilization_hours

Overview

The PA_FINPLAN_VIEW_BY_COMP_V view is a reporting construct within the Oracle E-Business Suite Projects (PA) module, owned by the APPS schema. Its purpose is to store and expose forecast amounts by period for one or more amount types, presenting them in a component-oriented layout suitable for financial plan reporting and integration. The view is documented as VALID in ETRM and is available in both the 12.1.1 and 12.2.2 releases.

The view is generally consumed by Financial Plan (FinPlan) reporting pages, project forecasting inquiries, and downstream integration programs that require forecast totals distributed across accounting periods. Because it is a view rather than a table, no data is stored directly; all values are derived at query time from an underlying component view and supporting PL/SQL packages.

The user search term "preceding_periods_amount" refers to a specific column exposed by this view. That column aggregates forecast amounts that fall into periods preceding the currently displayed period window, allowing comparisons between the historical forecast carry-in and the periods shown in the report.

Underlying Base Objects

According to the ETRM metadata, PA_FINPLAN_VIEW_BY_COMP_V is defined over the following referenced base objects:

• PA_FP_VIEW_BY_COMP_V (VIEW) — The immediate parent view. PA_FINPLAN_VIEW_BY_COMP_V is a filtered projection of this component view.
• PA_FIN_PLAN_VIEW_GLOBAL (PACKAGE) — A PL/SQL package providing supporting logic for financial plan view generation and global parameters.
• PA_FP_ORG_FCST_UTILS (PACKAGE) — A PL/SQL utility package used for organization-level forecasting computations.

The view text confirms the filtering behavior: it selects from PA_FP_VIEW_BY_COMP_V and applies the predicate WHERE AMOUNT_SUBTYPE_CODE NOT IN ('CAPACITY', 'UTILIZATION_HOURS'), ensuring that only monetary or non-hour-based amount types are returned. Results are ordered by AMOUNT_SUBTYPE_ID. Each numeric column is wrapped in an NVL(..., 0) expression, guaranteeing that null periods are rendered as zero rather than empty values.

Key Columns

• AMOUNT_SUBTYPE_NAME / AMOUNT_SUBTYPE_CODE / AMOUNT_SUBTYPE_ID — Identify the forecast amount subtype (for example, cost or revenue subtypes) and serve as the ordering and filtering keys.
• PRECEDING_PERIODS_AMOUNT — The aggregated forecast amount that falls into periods prior to the reporting window. This is the column referenced by the user's search term.
• SUCCEEDING_PERIODS_AMOUNT — The aggregated forecast amount that falls into periods after the reporting window.
• PERIOD1 through PERIOD13 — Thirteen period buckets representing the forecast amounts for each period in the reporting horizon. Thirteen periods accommodate partial-year plus carry-forward scenarios common in project forecasting.
• TOTAL_PA — The total forecast amount attributed to the PA (Projects) source or scope.
• TOTAL — The overall total forecast amount across all periods and carry-in/carry-out buckets.

Common Use Cases and Queries

This view is typically used to produce period-based forecast reports, reconcile FinPlan totals against project budgets, and feed downstream integration extracts. A representative query retrieving period-by-period forecast amounts with carry-in values follows:

SELECT amount_subtype_name,
       preceding_periods_amount,
       period1,
       period2,
       period3,
       total
FROM   apps.pa_finplan_view_by_comp_v
WHERE  amount_subtype_code = :p_subtype_code
ORDER BY amount_subtype_id;

A second common pattern compares carry-in and carry-out amounts against the displayed window:

SELECT amount_subtype_code,
       preceding_periods_amount AS carry_in,
       succeeding_periods_amount AS carry_out,
       total_pa,
       total
FROM   apps.pa_finplan_view_by_comp_v;

Because capacity and utilization-hour subtypes are excluded by the view's internal predicate, callers do not need to filter them out explicitly. All numeric outputs are returned as zero when underlying values are null, simplifying arithmetic in report layouts and integration payloads.