Results for “pqh_budget_data_migration”

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

Overview

PQH_BUDGET_DATA_MIGRATION is an Oracle EBS APPS schema package that supports migration of budget data from the legacy Oracle Human Resources budget model (the PER_BUDGETS family of tables) into the Oracle Public Sector / HRMS budgeting model (the PQH_BUDGETS family of tables). It is part of the budgeting component of Oracle Human Resources and is used during upgrades, implementations, and data conversions where budget definitions, elements, versions, and period values must be transferred between the two schemas. The package is declared AUTHID CURRENT_USER, meaning it executes with the privileges of the calling user rather than the defining user, so effective access to the underlying tables is governed by the invoking session. It carries an old-style header (pqbdgmig.pkh, version 115.12) indicating it has been essentially stable since the 11.5.x era and carried forward into 12.1.1 and 12.2.2 without structural change.

Key Procedures and Functions

Twenty documented procedures and functions make up the public surface of the package.

Tables Accessed

The package reads from the legacy PER tables and writes to the PQH tables, using APPS synonyms throughout.

Usage Notes

PQH_BUDGET_DATA_MIGRATION is not referenced by any other documented package (referenced by 0 packages), which confirms it is a terminal utility rather than a library. In practice it is invoked from the Oracle HRMS budget setup forms and, more commonly, wrapped by a concurrent program or a custom PL/SQL driver supplied by the implementation team. Because EXTRACT_DATA follows the concurrent-program signature convention, it is the natural target for a concurrent executable registration. Callers should invoke it in a controlled maintenance window, ensure business group and budget set values are supplied, and review PQH_PROCESS_LOG afterwards. As with all migration utilities, a full backup of both PER and PQH budget tables is recommended before execution on production data.