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EcoResReleasedProductV2Entity

OData: ReleasedProductsV2

Released products — the item master joined to its shared product, the standard export for item attributes

Tables vs entities

This entity is an export-shaped view over the tables below. When you land raw F&O tables instead of the entity, the SQL further down rebuilds it — joining the backing tables on their keys and DataAreaId. When to land tables vs entities

Notes

V2 released-product entity; research-confirmed.

Rebuild-from-tables SQL

Databricks SQL

Starting point for reconstructing this entity from landed tables — the backing tables joined on their keys and DataAreaId. Set your Unity Catalog location, company, and filter values below.

Query parameters

3 parameters not filled: <catalog>, <schema>, <company>

-- ============================================================
-- Entity : EcoResReleasedProductV2Entity (OData: ReleasedProductsV2)
-- Purpose: Rebuild EcoResReleasedProductV2Entity from landed F&O tables — auto-generated from table-entity-map
-- Grain  : InventTable × EcoResProduct — 1:N joins yield one row per line
-- Tables : InventTable, EcoResProduct
-- Notes  : Auto-generated skeleton for Synapse Link / Fabric Link-landed F&O data (lowercase column names). Enums decoded inline where verified; datetimes stored in UTC; 1900-01-01 dates are sentinels mapped to NULL. Company-partitioned tables are joined on DataAreaId to prevent cross-company fan-out. System/audit columns omitted — see the quirks guide.
-- ============================================================
SELECT
  it.itemid AS "The item number — the natural key analysts join every inventory and order table on",
  it.namealias AS "Search alias for the item",
  p.displayproductnumber AS "The product number shown to users; the natural key of the shared product"
FROM <catalog>.<schema>.inventtable it
LEFT JOIN <catalog>.<schema>.ecoresproduct p
  ON p.recid = it.product
WHERE
  it.dataareaid = '<company>'
ORDER BY it.itemid;

Backing Tables

How these tables connect — join details in the list below.

Join details

Maintained by Summit Analytics, a supply chain analytics practice. The tools and references are free — the consulting is selective.

Part of the Summit Analytics reference library.

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