This article provides a comprehensive interview guide on MySQL’s three core logs—redo log, undo log, and binlog—covering their architecture, roles in crash recovery, MVCC, replication, configuration commands, two‑phase commit workflow, and frequent follow‑up questions to help candidates ace database interview questions.
This guide explains the six common reasons why MySQL indexes may fail to improve query speed, shows how interviewers evaluate index knowledge, and provides concrete SQL examples, EXPLAIN analysis, and practical optimization techniques such as redesigning indexes, using covering indexes, avoiding implicit type conversion, and tuning database configuration.
This article explains key MySQL interview topics—including covering indexes that let queries avoid table lookups, the back‑table process when secondary indexes lack needed columns, and the leftmost prefix rule for composite indexes—providing clear examples and optimization tips.
This comprehensive guide consolidates 43 essential MySQL interview topics—from normalization, storage engines, and indexing to transaction handling, logging, replication, and performance tuning—providing clear explanations, code examples, and diagrams to help candidates quickly master the core concepts.
This article walks through MySQL's core concepts—including ACID guarantees, the four isolation levels, undo and redo logs, buffer pool flushing, lock types, gap locks, deadlock scenarios, and the B+‑tree based index architecture—providing interview‑ready insights and practical examples.
This article walks through essential MySQL interview topics, covering basic concepts, OLTP vs OLAP, normalization forms, DML/DDL/DCL, varchar vs char trade‑offs, storage engines, ACID properties, primary and foreign keys, and how to monitor running queries, all presented from an interviewer's perspective.
