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The HZ_DUP_RESULTS table in Oracle E-Business Suite (EBS) versions 12.1.1 and 12.2.2 is a critical component of the Trading Community Architecture (TCA) module, specifically designed to store and manage duplicate party or customer records identified by the Oracle TCA Duplicate Resolution Engine (DRE). This table plays a pivotal role in maintaining data integrity by capturing potential duplicate records, enabling administrators to review, merge, or resolve conflicts systematically.

Purpose and Functionality

The primary purpose of HZ_DUP_RESULTS is to log the outcomes of duplicate detection processes executed within Oracle TCA. When the DRE identifies potential duplicates—based on predefined matching rules—it stores the results in this table. The records include metadata about the duplicate pairs, such as party IDs, match scores, and resolution statuses. This facilitates a structured approach to managing duplicates, ensuring clean and reliable customer data.

Key Columns and Structure

The HZ_DUP_RESULTS table comprises several important columns:
  • DUP_RESULT_ID: Primary key, uniquely identifying each duplicate result entry.
  • PARTY_ID1 and PARTY_ID2: References to the duplicate party records in HZ_PARTIES.
  • MATCH_SCORE: Numeric value indicating the similarity between the two records (higher scores suggest stronger matches).
  • STATUS: Tracks the resolution state (e.g., "PENDING," "MERGED," or "IGNORED").
  • CREATED_BY and CREATION_DATE: Audit columns recording who created the entry and when.
  • LAST_UPDATE_DATE and LAST_UPDATED_BY: Track modifications to the record.

Integration with TCA Processes

The table integrates tightly with Oracle TCA's duplicate management workflows. Administrators can query HZ_DUP_RESULTS to review potential duplicates, initiate merges via the HZ_MERGE_PKG API, or update the status to reflect manual resolutions. The DRE periodically re-evaluates unresolved entries, ensuring ongoing data quality.

Performance and Maintenance Considerations

In high-volume environments, HZ_DUP_RESULTS can grow significantly. Oracle recommends:
  • Regularly archiving resolved entries to auxiliary tables.
  • Indexing critical columns like PARTY_ID1, PARTY_ID2, and STATUS for faster queries.
  • Purging obsolete records to optimize storage and performance.

Customization and Extensions

Organizations can extend the table's functionality by:
  • Creating custom matching rules to refine duplicate detection logic.
  • Developing automated scripts to process high-confidence duplicates.
  • Leveraging APIs like HZ_DUP_RESULTS_PKG to programmatically manage entries.

Conclusion

The HZ_DUP_RESULTS table is a cornerstone of Oracle EBS's data quality framework, ensuring accurate and non-redundant customer data. Its design supports both automated and manual resolution workflows, making it indispensable for enterprises prioritizing data integrity in their CRM or ERP systems. Proper maintenance and customization of this table can significantly enhance operational efficiency and reporting accuracy.