Search Results eam_cause_codes_u1

Overview

EAM.EAM_CAUSE_CODES is a reference (lookup) table in the Oracle Enterprise Asset Management (eAM) module of Oracle E-Business Suite, valid in both 12.1.1 and 12.2.2. It stores the master definitions of cause codes, which represent the underlying reason for an asset failure. In the eAM failure analysis model, a failure is typically described by a hierarchy of codes: an overall failure code, a failure cause code, and a resolution or action code. The cause code is conventionally the second code captured by the user when recording a failure. The documented example is a printer jam, where the cause code BADBELT carries the description "Bad Printer Belt."

The table resides in the EAM schema, is stored in the APPS_TS_TX_DATA tablespace with PCTFREE 10, and its unique index resides in APPS_TS_TX_IDX. Because cause codes are definitional master data, the table exhibits hub-leaning characteristics. From a Data Vault modeling perspective, EAM_CAUSE_CODES would be modeled as a hub, with CAUSE_CODE as the business key and the descriptive attributes (DESCRIPTION, EFFECTIVE_END_DATE, and the Who columns) treated as satellite attributes. This classification is a heuristic suggestion mined from the foreign key structure rather than a physical Data Vault implementation.

Key Information Stored

The table contains eight documented columns. The most significant are:

• CAUSE_CODE (VARCHAR2(80), mandatory) — the unique identifier and business key for the cause code. It is both the primary key (EAM_CAUSE_CODES_PK) and the column of the unique index EAM_CAUSE_CODES_U1, which is the object that the search term "eam_cause_codes_u1" targets.
• DESCRIPTION (VARCHAR2(2000)) — the human-readable explanation of the cause, such as "Bad Printer Belt."
• EFFECTIVE_END_DATE (DATE) — the date beyond which the cause code becomes inactive. Codes with a null or future end date remain selectable in failure entry.
• CREATED_BY, CREATION_DATE, LAST_UPDATED_BY, LAST_UPDATE_DATE, LAST_UPDATE_LOGIN — the standard Who columns recording audit and row-versioning information for insert and update activity.

There is no surrogate system-generated primary key; CAUSE_CODE itself serves as the primary key and the sole unique business-key candidate. All descriptive columns other than the key are candidates for satellite placement in a Data Vault design.

Common Use Cases and Queries

Cause codes are consumed during failure entry in the eAM Work Order and Failure Analysis flows, where the user selects a cause from the list of active codes. Reporting use cases include failure trending, Pareto analysis of recurring causes, and maintenance effectiveness measurement. Validating the unique index, checking for duplicate definitions, and listing active codes are the most frequent administrative activities.

Typical query patterns include:

• Retrieve active cause codes: SELECT CAUSE_CODE, DESCRIPTION FROM EAM.EAM_CAUSE_CODES WHERE EFFECTIVE_END_DATE IS NULL OR EFFECTIVE_END_DATE > SYSDATE;
• Verify uniqueness on the business key: SELECT CAUSE_CODE, COUNT(*) FROM EAM.EAM_CAUSE_CODES GROUP BY CAUSE_CODE HAVING COUNT(*) > 1;
• Inspect the unique index definition that backs the search term: SELECT index_name, column_name FROM all_ind_columns WHERE table_name = 'EAM_CAUSE_CODES';
• Join to failure combinations to report cause usage: SELECT fc.CAUSE_CODE, cc.DESCRIPTION, COUNT(*) FROM EAM.EAM_FAILURE_COMBINATIONS fc JOIN EAM.EAM_CAUSE_CODES cc ON fc.CAUSE_CODE = cc.CAUSE_CODE GROUP BY fc.CAUSE_CODE, cc.DESCRIPTION;

Related Objects

The table's dependencies define its position in the eAM failure model:

• EAM_FAILURE_COMBINATIONS — the principal referencing table. Its CAUSE_CODE column is a foreign key to EAM_CAUSE_CODES.CAUSE_CODE, meaning the combination table joins cause codes to failure and resolution codes. This is the most important relationship for any failure analysis query.
• EAM_CAUSE_CODES_PK — the primary key constraint on CAUSE_CODE.
• EAM_CAUSE_CODES_U1 — the unique normal index on CAUSE_CODE in APPS_TS_TX_IDX, enforcing business-key uniqueness; this is the named database object the user searched for.
• APPS synonym EAM_CAUSE_CODES — the synonym exposed to the APPS schema for application access and concurrent program queries.

The table does not itself reference any other database object, confirming its role as a foundational definition table within eAM failure analysis.