Learn ORACLE-EBS-DSLS with Real Code Examples
Updated Nov 27, 2025
Architecture
Declarative models (YAML/JSON/DSL files) describing EBS artifacts to generate
Code generators that output PL/SQL, Java, XML, or shell scripts targeting APPS schema and middle-tier
Packaging layer producing patch-friendly deployables (AD/TXT, JDBC scripts, jar files)
Runtime utilities to invoke generated concurrent programs or REST endpoints
Integration adapters to translate between enterprise formats and EBS interfaces
Rendering Model
DSL files -> generator templates -> PL/SQL/Java/XML output
Packaging layer assembles output into AD-like patches or middleware bundles
CI promotes artifacts through environments with environment-specific overlays
Runtime uses concurrent manager, REST endpoints, or middleware to execute generated logic
Diagnostics and logs map back to DSL artifacts for traceability
Architectural Patterns
Generator-based scaffolding for repeatable artifacts
Separation of generated vs hand-written code (avoid editing generated files directly)
Declarative configuration for environment-specific data (value sets, lookups)
Wrapper/facade patterns around seeded APIs
Audit and traceability hooks in generated code for governance
Real World Architectures
Global finance transformations with repeated AR/AP interface patterns
Retail supply-chain EBS integrations with frequent supplier data feeds
Manufacturing deployments standardizing inventory interfaces and flexfields
Shared services COEs providing DSLs to multiple project teams
Cloud migrations using DSLs to reproduce environment-specific configurations
Design Principles
Use supported extension points (APIs, personalizations) over direct table changes
Keep business logic close to the oracle-seeded APIs where feasible
Make generated artifacts idempotent and easily testable
Encapsulate enterprise naming, security, and packaging rules in templates
Design generators so they are extensible and auditable
Scalability Guide
Modularize DSLs by module (AP, AR, GL, PO) to enable focused teams
Run generators in CI to avoid local variance
Cache expensive metadata lookups during generation
Split large batch jobs into chunked concurrent programs
Monitor packaging pipeline throughput and optimize artifact size
Migration Guide
Keep a mapping of DSL template changes and generated outputs across EBS upgrades
Test generators on a cloned instance after applying Oracle patches
Refactor templates that rely on deprecated seeded APIs
Maintain backward compatibility modes in generators where necessary
Plan for patch reapplication and regression testing during EBS version upgrades