A data structure that speeds up query performance by creating a fast lookup path to rows based on specific column values.
Indexes work like a book's index — instead of scanning every row (full table scan), the database jumps directly to matching rows. B-tree indexes handle equality and range queries, GIN indexes handle full-text search and arrays, and partial indexes cover subsets of data. Trade-off: indexes speed up reads but slow down writes.
Adding database indexes on the GlossaryTerm slug, category, and is_featured fields to ensure fast glossary page loads.
Proper indexing can improve query performance by 100-1000x. Missing indexes are the most common cause of slow database queries in production.
Atomicity, Consistency, Isolation, Durability — the four properties that guarantee database transact...
A version-controlled change to a database schema — adding tables, modifying columns, or creating ind...
The process of organizing database tables to reduce data redundancy and improve data integrity by fo...
Horizontally partitioning data across multiple database instances, distributing load and enabling st...
A category of databases that store data in non-tabular formats — documents, key-value pairs, graphs,...
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