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.
Concepts and best practices for schema management across SQL dialects.
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.
How Db2 and PostgreSQL schemas differ — identity columns, tablespaces, naming, and types — plus a practical sequence for migrating safely.
Azure SQL Database and SQL Server share T-SQL syntax but diverge on collation, cross-database queries, instance-level objects, and tier limits. Here's what breaks.
How MariaDB and PostgreSQL schemas diverge on sequences, types, and casing, and how to generate a safe migration script instead of hand-translating DDL.
How the expand/contract (parallel change) pattern splits risky schema changes into safe phases, with a worked example and how to generate the SQL for each step.
How auto-increment, identity columns, and sequences differ across MySQL, PostgreSQL, SQL Server, Oracle, and Db2 — and where cross-dialect migrations break.
Migrating SQL Server schemas to Oracle: data type mapping, IDENTITY to sequences, identifier case rules, the empty-string trap, and generating safe migration DDL.