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M3 Reference

MWS070

Interactive

Stock transaction history — the display over the MITTRA ledger, where M3 stores every physical stock transaction

Tables vs APIs

This program works over the tables below. For analytics at scale, land the raw tables — the SQL further down reads them directly, joined on their keys and CONO. When to land tables vs call MI APIs →

Boilerplate SQL

Databricks SQL

Starting point for reading the tables behind MWS070 from landed data — the backing tables joined on their keys and CONO. Set your Unity Catalog location, company, and filter values below.

Query parameters

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

-- ============================================================
-- Program: MWS070 — Stock transaction history — the display over the MITTRA ledger, where M3 stores every physical stock transaction
-- Purpose: Read the tables behind program MWS070 — auto-generated from program-table-map
-- Grain  : One row per MITTRA record
-- Tables : MITTRA
-- Notes  : Auto-generated skeleton for Infor Data Lake-landed M3 data. Dates are numeric YYYYMMDD (0 = none, mapped to NULL); status ladders decoded inline where verified; company-partitioned tables are joined on CONO to prevent cross-company fan-out. Audit columns (RGDT/RGTM/LMDT/CHNO/CHID) omitted — see the quirks guide.
-- ============================================================
SELECT
  t.MTCONO AS "Company",
  t.MTWHLO AS "Warehouse",
  t.MTITNO AS "Item number",
  t.MTTRQT AS "Transaction quantity in the basic unit, signed by direction"
FROM <catalog>.<schema>.MITTRA t
WHERE
  t.MTCONO = <company>
ORDER BY t.MTWHLO;

Backing Tables

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.

Work with the practice →

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