The article explains why Elasticsearch's _count and _stats APIs can return vastly different document totals, especially when nested fields are involved, and provides step‑by‑step analysis, code examples, and practical solutions such as index refresh and data‑model adjustments.
This guide explains Elasticsearch's mapping concepts, compares dynamic and static mappings, and demonstrates how to choose between Array, Flattened, and Nested field types with concrete code examples, performance trade‑offs, and practical recommendations for real‑world business systems.
This guide walks you through the full Elasticsearch data‑modeling workflow, covering business‑driven design, handling large data volumes, optimal settings, mapping choices, and complex parent‑child relationships, while providing practical code examples and visual diagrams for immediate application.
This article explains ClickHouse's four composite data types—Array, Tuple, Enum, and Nested—detailing their definitions, type inference rules, practical SQL examples, and common pitfalls to help developers model complex data structures efficiently.
