segment merging

58 Tech

Mar 8, 2021 · Fundamentals

Real‑Time Inverted Index Update Techniques in the 58 Search Engine

This article explains how the 58 search engine achieves millisecond‑level real‑time inverted‑index updates by redesigning the underlying data structures, combining static and dynamic indexing, using a chain‑array hybrid, segment merging strategies, and lock‑free read‑write concurrency while maintaining search performance.

data structuresinverted-indexlock-free concurrency

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Real‑Time Inverted Index Update Techniques in the 58 Search Engine

Beike Product & Technology

Nov 23, 2018 · Backend Development

Elasticsearch Internals: Distributed Document Storage, Real‑time Search, and Translog Mechanics

This article explains the core Elasticsearch architecture—including shard routing, primary‑replica interaction, document CRUD workflows, multi‑document APIs, segment merging, translog durability, and storage file formats—providing a comprehensive view of how near‑real‑time search is achieved on large‑scale data.

ElasticsearchLucenedistributed storage

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Elasticsearch Internals: Distributed Document Storage, Real‑time Search, and Translog Mechanics

vivo Internet Technology

Oct 14, 2017 · Databases

Elasticsearch Index Performance Optimization (Part 2)

To maximize Elasticsearch bulk-indexing speed, temporarily disable refreshes and replicas, tune merge throttling and scheduler threads, enlarge translog and index buffer thresholds, and adjust indexing and bulk thread-pool sizes, then restore defaults after the load completes.

ElasticsearchIndexingPerformance Tuning

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Elasticsearch Index Performance Optimization (Part 2)