Search Results pa_project_event_accum




Overview
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Overview

The PA_PROJECT_EVENT_ACCUM table is a core transactional table within the Oracle E-Business Suite Projects module (PA). It serves a specific technical accounting function by storing the accumulated totals of event revenue for projects and their associated tasks. Its operational role is conditional; the table is actively populated and utilized only when the system is configured to run in Dual Accumulation Mode. This mode is a system-level option for revenue accounting, allowing for the maintenance of separate revenue accumulations for different reporting or reconciliation purposes. The table's existence is critical for ensuring accurate and auditable revenue recognition within complex project structures under this specific configuration.

Key Information Stored

The table's structure is designed to store summarized revenue data along key dimensions. Its primary key uniquely identifies a record by a combination of the PROJECT_ID, TASK_ID, EVENT_TYPE, PA_PERIOD (Projects Accounting period), and GL_PERIOD (General Ledger period). This granularity allows for the accumulation of revenue totals for a specific type of financial event, for a given task, within a specific accounting timeframe. While the exact revenue amount column is not detailed in the provided metadata, the table's description confirms it holds "accumulated totals," implying the presence of at least one numeric column (e.g., ACCUMULATED_REVENUE) that stores the cumulative sum. The EVENT_TYPE column categorizes the revenue according to predefined event classifications in the system.

Common Use Cases and Queries

The primary use case is supporting revenue reporting and reconciliation processes when Dual Accumulation Mode is active. Financial analysts may query this table to verify revenue totals by event type for a project across periods, or to compare project accounting revenue with general ledger postings. A typical query would join to descriptive tables to retrieve project names and task numbers. For example, to analyze accumulated revenue by event for a specific project, one might use a SQL pattern such as: SELECT t.task_number, e.event_type_name, a.pa_period, a.gl_period, a.accumulated_revenue FROM pa_project_event_accum a, pa_tasks t, pa_event_types e WHERE a.project_id = :p_project_id AND a.task_id = t.task_id AND a.event_type = e.event_type ORDER BY a.pa_period, t.task_number; This data is essential for generating internal revenue accumulation reports and ensuring the integrity of revenue recognition entries before they are transferred to the General Ledger.

Related Objects

The PA_PROJECT_EVENT_ACCUM table maintains strict referential integrity with several master and transactional tables in the Projects module, as defined by its foreign key constraints. These documented relationships are fundamental for any data extraction or integration.

  • PA_PROJECTS_ALL: Joined via PA_PROJECT_EVENT_ACCUM.PROJECT_ID. This links the accumulation records to the master definition of the project.
  • PA_TASKS: Joined via PA_PROJECT_EVENT_ACCUM.TASK_ID. This links the records to the specific task within the project work breakdown structure.
  • PA_EVENT_TYPES: Joined via PA_PROJECT_EVENT_ACCUM.EVENT_TYPE. This provides the descriptive name and accounting rules for the type of revenue event being accumulated.

Furthermore, the table's primary key constraint, PA_PROJECT_EVENT_ACCUM_PK, enforces the uniqueness of the combination of these five key columns, ensuring data consistency.