Tagged articles

search performance

10 articles · Page 1 of 1
Cloud Architecture
Cloud Architecture
May 11, 2026 · Operations

3 Billion Products, 500 Million Daily Queries: How I Boosted a Failing Elasticsearch Cluster 5×

A large‑scale e‑commerce search system handling 3 billion product documents and 500 million daily queries was on the brink of collapse, but a systematic overhaul across query modeling, index design, write pipelines, cluster topology, and application‑level governance lifted throughput five‑fold while cutting P99 latency from 3.2 seconds to 180 ms.

ElasticsearchQuery OptimizationScaling
0 likes · 30 min read
3 Billion Products, 500 Million Daily Queries: How I Boosted a Failing Elasticsearch Cluster 5×
ZhongAn Tech Team
ZhongAn Tech Team
Jun 4, 2024 · Databases

Elasticsearch 8.x Performance Boosts, New Features, and Migration Guide

This article details how upgrading from Elasticsearch 5.x/2.x to 8.x dramatically improves search, aggregation, and write performance while reducing storage costs, introduces vector KNN, synthetic _source, TSDS, searchable snapshots, security enhancements, and provides migration examples and code snippets for enterprise search platforms.

Data MigrationElasticsearchHybrid Ranking
0 likes · 18 min read
Elasticsearch 8.x Performance Boosts, New Features, and Migration Guide
DeWu Technology
DeWu Technology
May 8, 2023 · Databases

Optimizing Elasticsearch Search Performance with Index Sorting

By defining index sorting on the publish_time field when creating the Elasticsearch index, the team transformed a multi‑second full‑scan query into a sub‑50 ms operation, demonstrating that pre‑ordered storage dramatically speeds up large‑result‑set sorts while modestly affecting write throughput.

DocValuesElasticsearchIndex Sorting
0 likes · 12 min read
Optimizing Elasticsearch Search Performance with Index Sorting
政采云技术
政采云技术
Jul 14, 2022 · Operations

Diagnosing and Optimizing Elasticsearch IO Bottlenecks for Billion-Scale Product Catalogs

Facing severe IO-wait and read bottlenecks as product data grew from tens of millions to billions, this article analyzes root causes in Elasticsearch clusters and presents a comprehensive solution involving index parameter tuning, merge settings, translog async writes, query optimizations, and hardware upgrades to restore performance and stability.

Cluster OperationsElasticsearchIO optimization
0 likes · 14 min read
Diagnosing and Optimizing Elasticsearch IO Bottlenecks for Billion-Scale Product Catalogs
Top Architect
Top Architect
Aug 18, 2021 · Big Data

Elasticsearch Indexing and Retrieval Optimization for Billion‑Scale Data

This article describes how a top architect optimized Elasticsearch for handling billions of records, covering Lucene fundamentals, index and shard design, DocValues, query performance tuning, bulk indexing strategies, hardware considerations, and testing methods to achieve sub‑second query responses across multi‑year data ranges.

Big DataElasticsearchLucene
0 likes · 12 min read
Elasticsearch Indexing and Retrieval Optimization for Billion‑Scale Data
Big Data Technology Architecture
Big Data Technology Architecture
Aug 29, 2019 · Databases

Elasticsearch Indexing and Search Performance Tuning Guide

This guide explains how to improve Elasticsearch indexing speed, search speed, and overall cluster performance by adjusting bulk request sizes, refresh intervals, replica settings, hardware resources, mapping choices, caching strategies, and query preferences, while also offering general best‑practice recommendations.

Elasticsearchhardware optimizationsearch performance
0 likes · 18 min read
Elasticsearch Indexing and Search Performance Tuning Guide