Search Results ar_aging_buckets

Overview

The AR_AGING_BUCKETS table is a core data object within the Oracle E-Business Suite Receivables (AR) module, specifically for versions 12.1.1 and 12.2.2. It serves as the master definition table for aging buckets, which are critical for analyzing the status of outstanding customer balances. Each record in this table defines a distinct aging bucket set, such as "Standard 30-60-90" or "Custom Overdue Analysis." These definitions are not the individual line details but the parent container that groups them. The table's primary role is to provide the structural framework used by standard Receivables aging reports, including the Accounts Receivable Aging Report and the Trial Balance Aging Report, enabling businesses to assess credit and collection risk based on invoice due dates.

Key Information Stored

The table stores the metadata that defines each unique aging bucket configuration. The most critical columns include the system-generated primary key, AGING_BUCKET_ID, which uniquely identifies each bucket definition. The BUCKET_NAME column holds the user-defined, unique name for the bucket set, which is selected when running aging reports. While the ETRM excerpt does not list all columns, typical supplemental columns would include a description field, creation and last update dates, and status indicators. The table's structure, with a unique constraint on BUCKET_NAME, ensures that reporting references are clear and unambiguous.

Common Use Cases and Queries

The primary use case is configuring and running aged balance analyses. Administrators create and maintain bucket definitions via the Receivables application interface, which writes records to this table. During report execution, the system joins this table to its child lines table to calculate which transactions fall into each defined period. A common analytical query involves listing all available bucket definitions for a report parameter list:

SELECT bucket_name, description FROM ar_aging_buckets WHERE status = 'A' ORDER BY bucket_name;

For technical troubleshooting or data validation, one might query the relationship between a bucket header and its lines:

SELECT ab.bucket_name, abl.* FROM ar_aging_buckets ab, ar_aging_bucket_lines_b abl WHERE ab.aging_bucket_id = abl.aging_bucket_id AND ab.bucket_name = '&BUCKET_NAME';

Related Objects

As indicated by the foreign key metadata, the most directly related object is the AR_AGING_BUCKET_LINES_B table. This child table stores the specific period definitions (e.g., days from due date, period names) for each bucket identified by AGING_BUCKET_ID. Key reporting views, such as AR_AGING_BUCKETS_V and AR_AGING_BUCKET_LINES_V, likely exist to provide application-safe access to this data. The table is central to the aging engine within the AR standard reports and is referenced by underlying PL/SQL packages in the Receivables module that perform aging calculations.