BestHub
Sign in
Tagged articles
14 articles
Page 1 of 1
Mike Chen's Internet Architecture
Mike Chen's Internet Architecture
Jul 1, 2025 · Big Data

Master ElasticSearch: Core Concepts, Architecture, and Search Workflow Explained

This article provides a comprehensive overview of ElasticSearch, covering its definition, core components such as indexes, shards and replicas, the analysis pipeline, inverted index mechanics, and the two‑stage search process that enables scalable, fault‑tolerant full‑text search in big‑data environments.

AnalyzersBig DataDistributed Search
0 likes · 7 min read
Master ElasticSearch: Core Concepts, Architecture, and Search Workflow Explained
HelloTech
HelloTech
Sep 19, 2023 · Databases

Deep Dive into Elasticsearch RestClient Sniffer and Node Discovery Mechanism

The article explains how our driver‑passenger matching service migrated from load‑balanced Elasticsearch access to a direct RestClient, then automated node discovery using the built‑in Sniffer and SniffOnFailureListener, detailing its scheduling, request logic, and how this eliminates manual IP management while keeping the client in sync with cluster topology.

Distributed SearchElasticsearchJava
0 likes · 11 min read
Deep Dive into Elasticsearch RestClient Sniffer and Node Discovery Mechanism
Architect
Architect
Feb 6, 2022 · Big Data

Elasticsearch Overview: Architecture, Core Concepts, and Performance Optimization

This article provides a comprehensive introduction to Elasticsearch, covering data types, Lucene fundamentals, inverted indexes, cluster components, node roles, shard and replica mechanisms, mapping, installation, health monitoring, write path, storage strategies, segment management, refresh and translog processes, as well as practical performance and JVM tuning tips.

Cluster ManagementDistributed SearchElasticsearch
0 likes · 37 min read
Elasticsearch Overview: Architecture, Core Concepts, and Performance Optimization
政采云技术
政采云技术
Nov 18, 2021 · Databases

Elasticsearch Series Part 1: Introduction to System Concepts and Read/Write Flow

This article introduces Elasticsearch as a distributed, high‑performance search engine, explains its cluster architecture, node roles, shard and replica mechanisms, write and refresh processes, and outlines search handling techniques such as pagination, scroll and search‑after with practical curl examples.

Cluster ArchitectureDistributed SearchElasticsearch
0 likes · 11 min read
Elasticsearch Series Part 1: Introduction to System Concepts and Read/Write Flow
MaGe Linux Operations
MaGe Linux Operations
Mar 20, 2021 · Backend Development

Mastering Elasticsearch Distributed Search: Performance Tips & Pagination Strategies

This article examines Elasticsearch’s distributed search architecture, explains the two‑phase query and fetch process, identifies performance and relevance scoring challenges, and presents optimization techniques such as Search After with point‑in‑time, Scroll API usage, and DFS query‑then‑fetch for accurate scoring.

Distributed SearchElasticsearchPerformance Optimization
0 likes · 9 min read
Mastering Elasticsearch Distributed Search: Performance Tips & Pagination Strategies
vivo Internet Technology
vivo Internet Technology
Nov 6, 2019 · Big Data

Elasticsearch Optimization Practices at Tencent: An Interview with Tencent Cloud Engineer Chen Xi

In an interview, Tencent Cloud senior engineer Chen Xi explains how Tencent optimizes Elasticsearch for massive log, monitoring, and document search workloads by prioritizing stability through kernel tweaks, boosting performance with scenario‑specific settings, cutting costs via redundant storage trimming and off‑heap indexing, and leveraging rich data‑pipeline components and robust distributed cluster management to lower operational overhead while anticipating future ecosystem growth and community collaboration.

Distributed SearchElasticsearchTencent Cloud
0 likes · 4 min read
Elasticsearch Optimization Practices at Tencent: An Interview with Tencent Cloud Engineer Chen Xi
Didi Tech
Didi Tech
Jan 7, 2019 · Big Data

Didi's Multi-Cluster Elasticsearch Architecture: Challenges and Practices

Didi transformed its massive single‑cluster Elasticsearch deployment into a transparent multi‑cluster architecture using TribeNode and cross‑cluster search, isolating workloads, reducing fault impact, and achieving five‑fold scale while preserving a single‑cluster appearance for services, despite added configuration complexity and stability challenges.

DidiDistributed SearchElasticsearch
0 likes · 17 min read
Didi's Multi-Cluster Elasticsearch Architecture: Challenges and Practices
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Mar 29, 2018 · Backend Development

How 1号店 Scaled Its Search Engine for 11.11: Distributed Architecture, Sharding, and Auto‑Scaling

This article explains how 1号店 built a distributed search engine with horizontal scaling, custom sharding and routing strategies, automated deployment, rapid expansion, and real‑time monitoring to handle the massive traffic spikes of the annual 11.11 e‑commerce promotion.

Auto ScalingDistributed Searche-commerce backend
0 likes · 13 min read
How 1号店 Scaled Its Search Engine for 11.11: Distributed Architecture, Sharding, and Auto‑Scaling
Efficient Ops
Efficient Ops
Nov 13, 2017 · Databases

How to Build a Distributed Full‑Text Search System Using a Distributed Database

This article explains the design, table schema, indexing workflow, and query processing of a distributed full‑text search system that stores documents and token information separately in a distributed database, improving scalability and performance over traditional Lucene‑based solutions.

Distributed SearchFull‑Text SearchScalability
0 likes · 13 min read
How to Build a Distributed Full‑Text Search System Using a Distributed Database
21CTO
21CTO
Nov 17, 2015 · Backend Development

Scaling Search for 11.11: Distributed Engine, Smart Routing & Auto‑Scaling

This article explains how a major e‑commerce platform built a horizontally scalable distributed search engine, designed efficient sharding and routing strategies, and implemented automated deployment, rapid scaling, and real‑time monitoring to handle the massive traffic of the 11.11 shopping festival.

Auto ScalingBackendDistributed Search
0 likes · 13 min read
Scaling Search for 11.11: Distributed Engine, Smart Routing & Auto‑Scaling