04-postgresql-schema-analysis

📂 Phase 04: PostgreSQL Schema Analysis

This phase documents implementation of the hybrid PostgreSQL database schema combining normalized relational tables with JSONB columns, complete import infrastructure, and comprehensive data validation establishing the foundation for the full 240K+ application dataset.

Overview

Phase 04 transformed schema design decisions from Phase 03 into production-ready PostgreSQL implementation. The session delivered seven sequential scripts covering data validation, schema creation, JSON import, post-import processing, reviews enrichment, and initial analytics. This comprehensive infrastructure proved capable of handling diverse Steam content types while preserving data integrity through multi-phase validation and establishing patterns that would scale to the complete dataset.

---

📋 Directory Contents

This section provides systematic navigation to all files in this phase directory.

Key Documents

Document	Purpose	Link
phase-04-worklog-postgresql-schema-analysis.md	Complete session log documenting schema implementation and import process	phase-04-worklog-postgresql-schema-analysis.md

Implementation Scripts (Sequential Execution)

Script	Purpose	Link
04-01-validate-steam-data-integrity.py	JSON data validation ensuring structure integrity before import	04-01-validate-steam-data-integrity.py
04-02-setup-postgresql-schema.py	Database schema creation with tables, indexes, and constraints	04-02-setup-postgresql-schema.py
04-03-import-json-to-pgsql.py	JSON to PostgreSQL import with transactional integrity	04-03-import-json-to-pgsql.py
04-04-post-import-database-tasks.py	Index creation, constraint validation, and optimization	04-04-post-import-database-tasks.py
04-05-generate-initial-analytics.py	Initial data quality and distribution analytics	04-05-generate-initial-analytics.py
04-06-reviews-enrichment-script.py	Reviews data collection and enrichment	04-06-reviews-enrichment-script.py
04-07-db-reviews-enrichment-script.py	Database import of enriched review data	04-07-db-reviews-enrichment-script.py

Utility Scripts

Script	Purpose	Link
find-large-integers.py	Integer overflow detection in API responses	find-large-integers.py
merge_datasets.py	Dataset merging utility for multiple JSON files	merge_datasets.py

Configuration Files

File	Purpose	Link
.env.example	Template for database connection and API configuration	.env.example

---

🗂️ Repository Structure

Visual representation of this phase's organization:

04-postgresql-schema-analysis/
├── 📋 phase-04-worklog-postgresql-schema-analysis.md  # Session log
├── 🐍 04-01-validate-steam-data-integrity.py         # Step 1: Validation
├── 🐍 04-02-setup-postgresql-schema.py               # Step 2: Schema
├── 🐍 04-03-import-json-to-pgsql.py                  # Step 3: Import
├── 🐍 04-04-post-import-database-tasks.py            # Step 4: Optimization
├── 🐍 04-05-generate-initial-analytics.py            # Step 5: Analytics
├── 🐍 04-06-reviews-enrichment-script.py             # Step 6: Reviews collection
├── 🐍 04-07-db-reviews-enrichment-script.py          # Step 7: Reviews import
├── 🔧 find-large-integers.py                         # Utility: Integer check
├── 🔧 merge_datasets.py                              # Utility: JSON merge
├── 📄 .env.example                                   # Configuration
└── 📂 README.md                                      # This file

---

🔗 Related Categories

Category	Relationship	Documentation
Phase 03: Schema Analysis	Provides schema design implemented in this phase	../03-analyze-steam-data-sample/README.md
Phase 05: 5K Analysis	Validates schema with larger dataset	../05-5000-steam-game-dataset-analysis/README.md
PostgreSQL Schema Docs	Comprehensive schema documentation	../../docs/postgresql-database-schema.md

---

Phase Highlights

Schema Implementation

• 8 Core Tables: applications, developers, publishers, genres, categories, screenshots, movies, reviews
• Hybrid Design: Relational normalization + JSONB preservation for complex structures
• Data Integrity: Foreign key constraints, check constraints, and validation rules
• Performance: Strategic indexes on frequently queried columns

Import Infrastructure

• Multi-Phase Validation: JSON integrity → Schema compliance → Referential integrity
• Transactional Safety: Rollback capability preventing partial imports
• Error Handling: Detailed logging and recovery mechanisms
• Scalability: Patterns proven with 100-game sample ready for 240K+ dataset

---

Getting Started

1. Start Here: phase-04-worklog-postgresql-schema-analysis.md
2. Schema Creation: 04-02-setup-postgresql-schema.py
3. Import Process: Scripts 04-01 through 04-07 in sequence
4. Next Phase: Phase 05

---

Document Information

Field	Value
Author	VintageDon - https://github.com/vintagedon
Created	2025-10-06
Last Updated	2025-10-06
Version	1.0

---

Tags: phase-04, postgresql, schema-implementation, database-design, jsonb, data-import