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M3 Reference

GLS200

Interactive

Voucher display — the general ledger inquiry over the FGLEDG voucher lines

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 GLS200 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: GLS200 — Voucher display — the general ledger inquiry over the FGLEDG voucher lines
-- Purpose: Read the tables behind program GLS200 — auto-generated from program-table-map
-- Grain  : One row per FGLEDG record
-- Tables : FGLEDG
-- 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.EGCONO AS "Company",
  h.EGDIVI AS "Division the voucher posted in",
  h.EGYEA4 AS "Fiscal year",
  h.EGVSER AS "Voucher number series",
  h.EGVONO AS "Voucher number"
FROM <catalog>.<schema>.FGLEDG h
WHERE
  h.EGCONO = <company>
ORDER BY h.EGYEA4;

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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