Learn SQL Queries Using Your Own Excel Data (Import, Query, Export)
Export an Excel sheet to CSV, import it into FoxSchema's SQL Editor, write real SQL queries and joins against it, then export results back to CSV.
Export an Excel sheet to CSV, import it into FoxSchema's SQL Editor, write real SQL queries and joins against it, then export results back to CSV.
How to mask sensitive data for dev/staging using FoxSchema's bundled @faker-js/faker import in FoxScript, with deterministic seeding and Server Beam.
How FoxSchema's Server Insights utility surfaces connection pool health, active sessions, host resources, and table/index sizes per dialect.
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.
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.
How FoxScript works: SQL-first documents with @js/@ts/@node code blocks, statement strip, bind-parameter sql tags, and browser vs server execution.
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.
Tables vs views compared: indexing, pagination, real-time reporting, and when a view is abstraction rather than a performance win.
Stored procedures vs ORMs: a practical comparison of latency, transactions, consistency, testing, deployment, and horizontal scaling costs.
How MySQL and ClickHouse schemas differ: engine families, no indexes/FKs/triggers, Nullable() typing, and what to check before migrating.