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Cloud Schema Forge

Architecture: Multi-Target DDL & Schema Generation

Summary: The Cloud Schema Forge translates the raw byte-maps of the COBOL Data Division into modern, relational data structures. It outputs both strict PostgreSQL Data Definition Language (DDL) statements and REST-compliant JSON Schemas simultaneously.

PIC Clause Translation

The forge parses legacy PIC (Picture) constraints and translates them into modern relational bounds: * String Allocation: Translates PIC X(50) directly into VARCHAR(50). * Integer Mapping: Analyzes numeric length to intelligently map to SMALLINT, INTEGER, or BIGINT to optimize cloud database storage. * Decimal Precision: Splits clauses like PIC S9(7)V99 into their base and fractional components, mapping them to strict DECIMAL(9, 2) SQL bounds.

The Bloat Cutter (IR Synergy)

Before generating a column for a detected variable, the Schema Forge queries the IR State Manager. If the Graveyard Reaper previously flagged the variable as orphaned or unused memory, the forge instantly drops it. This ensures the resulting PostgreSQL tables are lean and free of the legacy memory bloat that accumulates over decades of maintenance.

Honesty Sensors (Dynamic Memory)

The forge scans for complex mainframe-specific memory behaviors and injects architectural warnings directly into the generated SQL as comments: * Dynamic Arrays: If it detects an OCCURS DEPENDING ON clause (an array whose length changes dynamically at runtime), it flags the column with a critical warning to utilize a JSONB data type, as strict relational columns cannot handle dynamic array allocation. * Packed Decimals: It flags COMP-3 variables to alert downstream engineering teams that the original data source is binary-compressed.



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