#SQL

A deep systems architecture guide to high-performance analytical databases: how columnar storage, dictionary/RLE compression, SIMD vectorized query execution, and morsel-driven parallelism make engines like DuckDB and ClickHouse 100x faster than traditional row-oriented databases.

A masterclass in native database search: implementing sub-10ms full-text search in Laravel using PostgreSQL tsvector, GIN inverted indexes, weighted relevance ranking, and prefix matching without Elasticsearch.

A deep architectural comparison of PostgreSQL and MySQL: MVCC vacuuming vs. undo logs, JSONB GIN indexes vs. functional indexes, BRIN vs. B+Tree, and high-concurrency locking strategies.