SQL Editor for Oracle Fusion Cloud Applications
Running reliable Oracle Fusion SQL queries requires the right extraction path (BICC, BIP, OTBI), Oracle Fusion‑aware joins, and protections for schema drift introduced with quarterly releases. This guide collects tested queries for ERP, HCM, and SCM, explains extraction choices, and surfaces the performance and auditing patterns finance, HR, and supply‑chain teams need for day-to-day ad-hoc reporting.
How to Run SQL Queries against Oracle Fusion
Where SQL4Fusion fits in your stack
BICC for scheduled bulk extracts → Use SQL4Fusion to identify the right PVO and columns to extract for your warehouse.
BI Publisher (BIP) for curated reports → Use SQL4Fusion to draft and peer-review SQL before promoting to BIP data models.
Warehouse / ADW for analytics at scale → Use SQL4Fusion to keep a governed library of Fusion-aware queries for ELT jobs.
OTBI / APIs for lightweight needs → Use SQL4Fusion when complexity grows beyond subject areas.
Choose the right path
High volume, repeatable loads: Prefer BICC + warehouse.
Curated business reports: Prefer BIP.
Ad-hoc and advanced joins: Prefer warehouse / ADW.
Team collaboration & governance: Start in SQL4Fusion → review → promote to BICC / BIP / ELT.
Adhoc reporting: Use SQL4Fusion.
You Must Know
Ledgers, COA segments, calendars, period statuses
WHAT TRIPS TEAMS UP
Cross-ledger noise, wrong calendar joins, open vs closed period confusion.
HOW SQL4FUSION HELPS
Pre-filtered templates with required predicates for ledger, calendar, and period status, plus segment pickers for company, cost center, and account.
Reference vs transaction tables
WHAT TRIPS TEAMS UP
Mixing master data and transactions, missing keys, or inconsistent joins across modules.
HOW SQL4FUSION HELPS
Joins blueprints per module (GL, AP, AR, FA, Procurement, HCM, SCM) with inline guidance on which keys to use so relationships stay consistent.
Copy-Paste SQL Examples
Start from a proven template, set your ledger and period, and run. Every example is available in SQL4Fusion with pickers for ledgers, COA segments, calendars, and validation checks before promotion to BICC, BIP, or ELT.
GL: balances by period and segment
Returns ledger balances filtered by period and chart-of-accounts segments (company, cost center, account). Uses pre-filtered predicates to avoid cross-ledger noise and incorrect calendar joins.
gl_balances
gl_code_combinations
:LEDGER_ID
:PERIOD
Payables (AP): open vs paid invoices, aging
Shows invoice status with payment status flags and days-since-invoice for aging analysis. Joins suppliers and payment schedules to surface vendor performance and outstanding balances.
ap_invoices_all
ap_suppliers
ap_payment_schedules_all
aging
Receivables (AR): customer balances and receipts
Aggregates open balance by customer and pulls the last receipt date — useful for collections, dunning, and DSO reporting. Includes the standard hz_parties / hz_cust_accounts join pattern.
ar_payment_schedules_all
hz_cust_accounts
hz_parties
DSO
Payables (AP): open vs paid invoices, aging
Returns ledger balances filtered by period and chart-of-accounts segments (company, cost center, account). Uses pre-filtered predicates to avoid cross-ledger noise and incorrect calendar joins.
gl_balances
gl_code_combinations
:LEDGER_ID
:PERIOD
Cash Management (CE): bank statements and reconciliations
Returns ledger balances filtered by period and chart-of-accounts segments (company, cost center, account). Uses pre-filtered predicates to avoid cross-ledger noise and incorrect calendar joins.
gl_balances
gl_code_combinations
:LEDGER_ID
:PERIOD
Common SQL Templates
Copy, parameterize, and publish a curated set of Fusion-aware HCM SQL templates. Every template ships with effective-dating logic, security notes, and optional joins to audit where needed.
Worker, assignment, and payroll readiness checks
OUTCOME
Confirm active workers, primary assignments, and payroll eligibility before each cycle.
PARAMETERS
Legal employer, business unit, payroll period, assignment status.
BUILT-IN GUARDRAILS
Effective start/end dates, primary flag checks, exclusion of terminated workers by date.
Headcount, attrition, and transfers by period
OUTCOME
Accurate period-over-period movement with clear reasons.
PARAMETERS
Period start/end, legal entity, department, grade, location.
BUILT-IN GUARDRAILS
Point-in-time views, transfers vs. new hires vs. terminations, deduping rehires.
Security contexts (who sees what)
OUTCOME
Align results with HCM role visibility for audits and self-serve management.
PARAMETERS
Role, data access set, security profile.
BUILT-IN GUARDRAILS
Optional audit joins for “who ran” and “who changed,” plus notes on masking PII.
Frequently Needed SQL Templates
Prebuilt, Fusion-aware SQL templates for procurement operations and inventory control. Each template includes parameter pickers, effective-dating logic, and optional audit joins so your team can confidently publish to BIP, BICC, or ELT.
Purchase orders, receipts, and three way match
OUTCOME
Reconcile POs to receipts and invoices, and highlight mismatches before month end.
PARAMETERS
Business unit, supplier, item, PO status, date range.
GUARDRAILS
Enforce matching conditions, exclude cancelled or returned lines, optional tolerance filters.
Item master, categories, and on-hand or transactions
OUTCOME
Clean view of item attributes, category assignments, on hand, issues, and receipts.
PARAMETERS
Item class, category set, subinventory, date range.
GUARDRAILS
Effective date checks, unit of measure normalization, consistent item keys across modules.
Supplier performance snapshots
OUTCOME
On-time delivery, lead time variance, quality flags, and dispute rates by supplier.
PARAMETERS
Supplier, category, period, site.
GUARDRAILS
Standard definitions for on-time, partial receipts handling, optional exclusion of disputed lines.
Performance and Cost Tips
SQL4Fusion bakes performance patterns into templates, allowing you to query less data, avoid expensive joins, and control warehouse costs.
Predicate pushdown, selective columns, date filters
Always filter by ledger, business unit, and period first.
Select only the columns you need — avoid “select*”.
Standard predicates are pre-wired in SQL4Fusion templates to minimize scans.
Avoiding cross-module Cartesian joins
Join through approved keys and staging views — never free-form cross joins.
SQL4Fusion templates include safe join blueprints per module to keep row counts sane.
Alternatives & Next Steps
Use SQL4Fusion to author, review, and standardize your Fusion-aware SQL. Add Orbit DataJump when you need end-to-end data pipeline automation: BICC orchestration, schema-drift handling, warehouse loads, and SLA monitoring.
Author in SQL4Fusion
Templates · pickers · validation
Review & promote
Peer review · governance
Run via Orbit DataJump
BICC · schema drift · SLAs
