Data Masking for Dev Environments with FoxScript and Faker.js
How to mask sensitive data for dev/staging using FoxSchema's bundled @faker-js/faker import in FoxScript, with deterministic seeding and Server Beam.
Server Insights: Connection Pool, Sessions, and Table Sizes at a Glance
How FoxSchema's Server Insights utility surfaces connection pool health, active sessions, host resources, and table/index sizes per dialect.
Server Beam: Moving Data Between Two Databases with SQL and JavaScript
How FoxSchema's Server Beam moves data across two live database connections using sql.on(alias), bind parameters, and a 20-call-per-run safety cap.
Query Files: Turn a CSV, JSON, or Fixed-Width File Into a Queryable Table
How FoxSchema's Query files utility imports CSV/TSV, JSON, and fixed-width files into a temp SQLite workspace or a saved connection for instant SQL access.
FoxScript: SQL with Embedded JavaScript and Node Code Cells
How FoxScript works: SQL-first documents with @js/@ts/@node code blocks, statement strip, bind-parameter sql tags, and browser vs server execution.
Database Constraints: The Defense Layer We Often Forget
Why CHECK, UNIQUE, FOREIGN KEY, and NOT NULL constraints matter as a last line of defense against concurrency bugs and bad data, alongside app validation.
Table vs View: Performance vs Real-Time Data
Tables vs views compared: indexing, pagination, real-time reporting, and when a view is abstraction rather than a performance win.
Stored Procedures vs ORM: Performance vs Flexibility
Stored procedures vs ORMs: a practical comparison of latency, transactions, consistency, testing, deployment, and horizontal scaling costs.
MySQL to ClickHouse Migration: A Schema-Level Guide
How MySQL and ClickHouse schemas differ: engine families, no indexes/FKs/triggers, Nullable() typing, and what to check before migrating.
Db2 to PostgreSQL Migration: A Schema-Level Guide
How Db2 and PostgreSQL schemas differ — identity columns, tablespaces, naming, and types — plus a practical sequence for migrating safely.
