D365 Reference

WHSWarehouseWorkLineEntity

Warehouse work lines — line-level warehouse work with header context (work ID, status, closed datetime) folded in; the standard export for work execution analysis

Module: Warehouse Management
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

CDM-verified; display name "Warehouse work lines"; introduced 10.0.13. Backing table WHSWorkLine per the CDM BackingTable relationship.

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
-- ============================================================
-- Entity : WHSWarehouseWorkLineEntity
-- Purpose: Rebuild WHSWarehouseWorkLineEntity from landed F&O tables — auto-generated from table-entity-map
-- Grain  : WHSWorkLine × WHSWorkTable — 1:N joins yield one row per line
-- Tables : WHSWorkLine, WHSWorkTable
-- 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
  h.workid AS "Work order this line belongs to",
  h.linenum AS "Line number within the work order — pick and put steps in execution sequence"
FROM <catalog>.<schema>.whsworkline h
LEFT JOIN <catalog>.<schema>.whsworktable w
  ON w.workid = h.workid
 AND w.dataareaid = h.dataareaid
WHERE
  h.dataareaid = '<company>'
ORDER BY h.workid;

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

Backing Tables

How these tables connect. Nodes are clickable.

Join details