Converting JSON to SQL DDL and DML Queries

Automating JSON to SQL Schema Generation

Modern backend microservices frequently extract raw JSON payloads from HTTP endpoints or third-party webhooks and ingest them into relational SQL databases. Converting unstructured JSON into typed SQL tables requires analyzing key presence, inferring SQL data types, and formatting safe INSERT queries.

Key SQL Data Type Inferences:

• INTEGER & DOUBLE PRECISION: Whole numbers map to INTEGER while floating-point values map to FLOAT or DOUBLE PRECISION.
• VARCHAR vs TEXT: Short string values default to VARCHAR(255) while long texts (>255 chars) map to TEXT.
• TIMESTAMP & JSONB: ISO 8601 strings auto-infer as TIMESTAMP, and nested objects translate into native JSONB or JSON columns.

-- Automatically generated SQL Schema & Insert
CREATE TABLE "users" (
  "id" INTEGER,
  "name" VARCHAR(255),
  "is_admin" BOOLEAN,
  "created_at" TIMESTAMP
);

INSERT INTO "users" ("id", "name", "is_admin", "created_at") VALUES (101, 'Alice', TRUE, '2026-08-10T12:00:00Z');