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Mingyi World Elasticsearch
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Mingyi World Elasticsearch

The leading WeChat public account for Elasticsearch fundamentals, advanced topics, and hands‑on practice. Join us to dive deep into the ELK Stack (Elasticsearch, Logstash, Kibana, Beats).

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Recent Articles

Latest from Mingyi World Elasticsearch

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Mingyi World Elasticsearch
Mingyi World Elasticsearch
Aug 4, 2025 · Artificial Intelligence

Building Enterprise‑Grade Semantic Search with Ollama—No External APIs Required

This article walks through the complete design and implementation of a locally deployed, enterprise‑level semantic search system using Ollama for embedding generation and Easysearch for vector retrieval, covering problem analysis, architecture decisions, pipeline configuration, bulk indexing, and hybrid query execution.

EasysearchOllamalocal deployment
0 likes · 12 min read
Building Enterprise‑Grade Semantic Search with Ollama—No External APIs Required
Mingyi World Elasticsearch
Mingyi World Elasticsearch
Jul 31, 2025 · Backend Development

Dynamic Field-Level Dictionary Updates in Easysearch IK: A Practical Guide

The article explains how the new IK reload API enables dynamic updates of field‑level dictionaries in Easysearch, eliminating the need to rebuild indexes, and provides a step‑by‑step walkthrough—including configuration, adding and removing terms, precise reloads, and production considerations—illustrated with code snippets and screenshots.

Dictionary ReloadDynamic UpdateEasysearch
0 likes · 9 min read
Dynamic Field-Level Dictionary Updates in Easysearch IK: A Practical Guide
Mingyi World Elasticsearch
Mingyi World Elasticsearch
Jul 31, 2025 · Operations

How to Fix Elasticsearch Sync Bottlenecks: Practical Optimization Steps

This article walks through a real‑world case where syncing over 12 million records to Elasticsearch stalled, analyzes memory pressure, thread‑pool limits, and Netty I/O logs, and then presents concrete configuration tweaks, batch‑by‑time‑slice loading, DSL bulk‑API adjustments, and cluster‑health monitoring that reduced the import time to about two hours.

Elasticsearchbulk APIcluster health
0 likes · 6 min read
How to Fix Elasticsearch Sync Bottlenecks: Practical Optimization Steps
Mingyi World Elasticsearch
Mingyi World Elasticsearch
Jul 30, 2025 · Backend Development

From Keyword Matching to Semantic Understanding: Building an Intelligent E‑Commerce Search Engine

The article analyzes the semantic gap in e‑commerce search, compares traditional keyword matching with vector‑based retrieval, and provides a step‑by‑step implementation using Elasticsearch/Easysearch pipelines, embedding models, and a hybrid search strategy to improve user intent understanding.

EasysearchElasticsearchHybrid Search
0 likes · 11 min read
From Keyword Matching to Semantic Understanding: Building an Intelligent E‑Commerce Search Engine
Mingyi World Elasticsearch
Mingyi World Elasticsearch
Jul 25, 2025 · Backend Development

Pitfall Diary: Practical Lessons on Using Elasticsearch Nested Types

After a failed flatten‑field migration from MySQL to Elasticsearch caused incorrect product matches, the team introduced nested types, redesigned mappings, rewrote queries with nested and inner_hits, optimized performance, documented pitfalls, and concluded that nested types solve one‑to‑many relations but require careful evaluation.

ElasticsearchNested Typedata modeling
0 likes · 15 min read
Pitfall Diary: Practical Lessons on Using Elasticsearch Nested Types
Mingyi World Elasticsearch
Mingyi World Elasticsearch
Jul 18, 2025 · Artificial Intelligence

Video: Building an Intelligent Knowledge‑Base Q&A System with Large Models and Elasticsearch (RAG)

The video walks through the differences between traditional keyword search and vector search, explains the core concept of Retrieval‑Augmented Generation, and demonstrates how to construct a knowledge‑base Q&A system using a large language model integrated with Elasticsearch.

ElasticsearchKnowledge BaseQ&A system
0 likes · 1 min read
Video: Building an Intelligent Knowledge‑Base Q&A System with Large Models and Elasticsearch (RAG)
Mingyi World Elasticsearch
Mingyi World Elasticsearch
Jul 11, 2025 · Operations

Logstash 9.x vs Earlier Versions: Key Differences, Common Errors, and Fixes

This article compares Logstash 9.x with previous releases, shows a working 9.x configuration, explains why root execution is blocked, details the deprecation of the cacert setting in favor of ssl_certificate_authorities, and provides step‑by‑step troubleshooting tips—including permission checks and the --config.test_and_exit flag—to resolve typical startup and data‑ingestion issues.

ConfigurationElasticsearchLogstash
0 likes · 8 min read
Logstash 9.x vs Earlier Versions: Key Differences, Common Errors, and Fixes