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EBS Reference

BOM_INVENTORY_COMPONENTS

Schema: BOMviewView

The compatibility view legacy queries know BOM components by — a filtered window onto the components table that hides PLM-object and unimplemented-change rows

Module: BOM & CostingNot org-partitioned
Notes

APPS-schema view over BOM_COMPONENTS_B — and a FILTERED one, so counts differ from the base table by design. Land BOM_COMPONENTS_B for extraction and apply the classic-row filter yourself.

What the badges mean
master
Data class: what the table holds — master data, transaction documents, control/configuration, interface/staging, or an APPS-schema view.
In field listings, K marks a primary-key field.

Fields

9 fields · 1 key

Table fields: position, field name, description, data type, and flags. 9 fields.
#FieldDescriptionTypeFlags
1COMPONENT_SEQUENCE_IDThe component row id — identical to the base table's keyNUMBER
Key
2BILL_SEQUENCE_IDThe bill the component belongs toNUMBER
3COMPONENT_ITEM_IDThe component itemNUMBER
4OPERATION_SEQ_NUMThe consuming routing operationNUMBER
5COMPONENT_QUANTITYUsage quantity per assemblyNUMBER
6EFFECTIVITY_DATEEffectivity startDATE
Filter date
7DISABLE_DATEEffectivity end — NULL while activeDATE
8IMPLEMENTATION_DATENULL on unimplemented ECO rowsDATE
9WIP_SUPPLY_TYPESupply method — numeric, undecodedNUMBER

Field provenance: hand-curated. 1 key field.

Boilerplate SQL

Starting point for reading BOM_INVENTORY_COMPONENTSon Databricks — real DATE columns need no conversion, and the org anchor and the LAST_UPDATE_DATE watermark are already in place. Set your Unity Catalog location, schema, and org values below; they’re substituted into the SQL and the copy button.

Query parameters
-- ============================================================
-- Table  : BOM_INVENTORY_COMPONENTS — The compatibility view legacy queries know BOM components by — a filtered window onto the components table that hides PLM-object and unimplemented-change rows
-- Purpose: Column-selected read of BOM_INVENTORY_COMPONENTS — auto-generated from field metadata
-- Grain  : One row per COMPONENT_SEQUENCE_ID
-- Notes  : Auto-generated skeleton for Oracle EBS R12 data landed in your lakehouse. Dates are real DATE/TIMESTAMP columns — no conversion needed. WHO audit columns omitted (see the quirks guide); the optional LAST_UPDATE_DATE watermark filter supports incremental extracts. APPS-schema view — land its base tables for extraction; see the table notes.
-- ============================================================
SELECT
  t.COMPONENT_SEQUENCE_ID AS "The component row id — identical to the base table's key",
  t.BILL_SEQUENCE_ID AS "The bill the component belongs to",
  t.COMPONENT_ITEM_ID AS "The component item",
  t.OPERATION_SEQ_NUM AS "The consuming routing operation",
  t.COMPONENT_QUANTITY AS "Usage quantity per assembly",
  t.EFFECTIVITY_DATE AS "Effectivity start",
  t.DISABLE_DATE AS "Effectivity end — NULL while active",
  t.IMPLEMENTATION_DATE AS "NULL on unimplemented ECO rows",
  t.WIP_SUPPLY_TYPE AS "Supply method — numeric, undecoded"
FROM <catalog>.<schema>.BOM_INVENTORY_COMPONENTS t
WHERE
  1 = 1  -- no partition column on this table; the filters below are optional
  -- AND t.COMPONENT_SEQUENCE_ID = <COMPONENT_SEQUENCE_ID>
  -- AND t.EFFECTIVITY_DATE >= DATE '<DATE_FROM>'
  -- AND t.EFFECTIVITY_DATE <= DATE '<DATE_TO>'
  -- AND t.LAST_UPDATE_DATE >= TIMESTAMP '<watermark>'  -- WHO watermark, bulk-stamped by batch jobs; see quirks guide #who-columns
ORDER BY t.COMPONENT_SEQUENCE_ID;

6 parameters not filled: <catalog>, <schema>, <COMPONENT_SEQUENCE_ID>, <DATE_FROM>, <DATE_TO>, <watermark>

Relationships

1-hop neighbors — click a table to navigate there. FND lookup decode and translation edges are highlighted; they’re the joins newcomers most often get wrong.

Join details

  • BOM_INVENTORY_COMPONENTSBOM_COMPONENTS_Bforeign key · 1:1
    ON BOM_INVENTORY_COMPONENTS.COMPONENT_SEQUENCE_ID = BOM_COMPONENTS_B.COMPONENT_SEQUENCE_ID
Extraction note

BOM_INVENTORY_COMPONENTSis an APPS-schema convenience view. Land the base tables it joins instead of extracting from the view directly — views can be slow at scale and aren’t guaranteed stable across patches.

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