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M3 Reference

CRS008

Interactive

Facility maintenance — where the CFACIL facilities are opened and configured

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 CRS008 from landed data — the backing tables joined on their keys and CONO. Set your Unity Catalog location, company, and filter values below.

Query parameters
-- ============================================================
-- Program: CRS008 — Facility maintenance — where the CFACIL facilities are opened and configured
-- Purpose: Read the tables behind program CRS008 — auto-generated from program-table-map
-- Grain  : One row per CFACIL record
-- Tables : CFACIL
-- 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
  h.CFCONO AS "Company",
  h.CFFACI AS "Facility — the code warehouses and orders carry"
FROM <catalog>.<schema>.CFACIL h
WHERE
  h.CFCONO = <company>
ORDER BY h.CFFACI;

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

Backing Tables

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

Part of Joinery — the Summit Analytics reference library.

Work with the practice →

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