This article consolidates theory and practical calculations to reveal how MySQL's B+‑tree storage, page structure, and row size determine the realistic maximum number of records a single table can store, ranging from millions to billions depending on schema choices.
The article explains PostgreSQL's 1 GB memory allocation limit, shows how inserting large BYTEA values triggers the “invalid memory alloc request size” error, explores the underlying memory‑context code, and offers practical work‑arounds for migration from Oracle.
The article asks how many tables can be created in a single MySQL database using the InnoDB storage engine, prompting readers to provide the correct limit without consulting external sources and discuss the theoretical maximum based on MySQL specifications.
This article explains how MySQL integer auto‑increment primary keys can reach their maximum value, the resulting duplicate‑key errors, and how using BIGINT or understanding InnoDB's internal row_id behavior can prevent data loss or crashes.
This article explains MySQL's row size restrictions at both the Server and InnoDB layers, detailing the calculation methods, relevant source code paths, error messages, and practical guidelines for ensuring total record length stays within the 65535‑byte server limit and the 8126‑byte InnoDB limit.
A rare Oracle bug caused object IDs to exceed their maximum value, preventing creation of tables, sequences, and indexes; the article analyzes the error, shows how rapid DDL activity exhausts IDs, demonstrates reproduction steps, and offers short‑ and long‑term mitigation and monitoring recommendations.
This article highlights several often‑overlooked MongoDB limitations—including excessive disk‑space preallocation, a 12‑node replica‑set cap, lack of high‑availability in master‑slave mode, 32‑bit version constraints, high consulting fees, and weak management tools—helping developers avoid costly surprises.
