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).
Easysearch 1.15.x no longer saves the initial password in initialize.log for security reasons, so the article explains two ways to obtain it—checking the startup log for the bootstrap credential or resetting it with the reset_admin_password.sh script—and shows how to verify the password with curl.
This guide walks through using the open‑source Elasticdump tool to migrate an Elasticsearch index—including mapping, settings, and data—to Easysearch, covering environment setup, SSL handling, step‑by‑step commands, verification methods, common errors, and performance‑tuning tips.
This guide walks through a zero‑downtime migration from Elasticsearch 9.0 to the Easysearch compatible branch using Logstash, covering project goals, solution selection, detailed input/filter/output configurations, SSL handling, batch tuning, execution steps, and verification to ensure data integrity and ID consistency.
The article details a real‑world case of scanning over 40 million Elasticsearch documents, identifies four performance bottlenecks, and presents three concrete optimizations—_source filtering, precise index targeting, and batch‑size tuning—that together cut processing time in half and raise CPU utilization from 25% to 85%.
This guide walks through installing the Easysearch UI plugin (v1.15.0) on a Linux host to replace Kibana and Console, showing how to download the package, deploy it with required security authentication, verify port 9200, and explore built‑in visualizations such as global, node, index, alias, dev‑tool, and security views.
This article reviews EasySearch, a lightweight Elasticsearch‑compatible search engine, covering its technical features, performance gains, ARM support, deployment steps, operational best practices, and migration scenarios to help enterprises evaluate it as a domestic alternative.
The article introduces INFINI Console, an open‑source, lightweight platform for unified, multi‑cluster and cross‑version Elasticsearch governance, compares it with Kibana, details deployment options, enterprise‑level features such as monitoring, alerting and security, and analyzes cost advantages and practical migration scenarios.
When legacy or sensitive fields bloat an Elasticsearch index, rebuilding the index with reindex can be costly, so this article examines why fields cannot be removed directly and presents four practical, non‑reindex approaches—_source filtering, index templates, ingest pipelines, and alias‑based gradual migration—detailing their trade‑offs and implementation steps.
The article details how a legal team tackled inefficient labor law document search by creating a RAG‑based intelligent Q&A assistant with Claude and the open‑source Coco AI toolkit, covering solution comparison, environment setup, data preparation, testing, and optimization insights.
This article answers practical questions about enterprise semantic search, explaining how Reciprocal Rank Fusion normalizes mixed scoring, how to control vector result size, the trade‑offs of LSH parameters, word‑ and sentence‑based chunking strategies with version‑specific defaults, and flexible embedding dimensionality.
