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Elasticsearch

1258 articles · Page 6 of 13
ITPUB
ITPUB
Jul 12, 2023 · Databases

How We Migrated a Multi‑Petabyte Elasticsearch Cluster Across Data Centers Without Downtime

This article details the end‑to‑end process of moving Qunar's massive Elasticsearch logging cluster from a saturated data‑center to a new facility, covering background constraints, migration planning, manual and automated steps, performance‑tuning parameters, shard‑balancing techniques, and the final outcomes achieved.

Cluster MigrationData CenterElasticsearch
0 likes · 21 min read
How We Migrated a Multi‑Petabyte Elasticsearch Cluster Across Data Centers Without Downtime
Architects Research Society
Architects Research Society
Jul 8, 2023 · Backend Development

System Design of Hotel Booking Applications (Airbnb, Booking.com, OYO)

This article explains how large hotel‑booking platforms such as Airbnb, Booking.com and OYO use a micro‑service architecture—including hotel management, customer search/booking, and view‑booking services—combined with load balancers, Kafka, Elasticsearch, Redis, Cassandra and Hadoop to achieve a seamless, high‑throughput booking flow.

ElasticsearchKafkaRedis
0 likes · 7 min read
System Design of Hotel Booking Applications (Airbnb, Booking.com, OYO)
Spring Full-Stack Practical Cases
Spring Full-Stack Practical Cases
Jul 6, 2023 · Databases

Master Spring Boot 2.3 with Elasticsearch 7.8: Full CRUD and Advanced Queries

This guide demonstrates how to integrate Spring Boot 2.3.10 with Elasticsearch 7.8 using the high‑level REST client, covering required Maven dependencies, index creation, retrieval, deletion, document CRUD operations, bulk processing, and a variety of advanced search techniques such as paging, sorting, filtering, range, highlighting, aggregations, and grouping.

CRUDElasticsearchJava
0 likes · 12 min read
Master Spring Boot 2.3 with Elasticsearch 7.8: Full CRUD and Advanced Queries
Architects Research Society
Architects Research Society
Jul 2, 2023 · Databases

PostgreSQL Full-Text Search vs Elasticsearch: Performance Comparison and Findings

This article compares PostgreSQL and Elasticsearch for full‑text search in Django applications, presenting performance benchmarks on up to 1.5 million records, discussing setup complexity, features like stemming and fuzziness, and concluding that PostgreSQL is preferable for most projects without massive data scales.

DjangoElasticsearchFull-text Search
0 likes · 7 min read
PostgreSQL Full-Text Search vs Elasticsearch: Performance Comparison and Findings
Programmer DD
Programmer DD
Jun 26, 2023 · Databases

Unlock Lightning-Fast Search: Proven Elasticsearch Performance Tuning Tips

This article presents comprehensive best‑practice recommendations for optimizing Elasticsearch deployments, covering hardware selection, RAID choices, index and shard planning, query and caching strategies, bulk indexing, refresh intervals, monitoring tools, version upgrades, and lifecycle management to achieve high performance, reliability, and scalability.

ElasticsearchIndexingPerformance Tuning
0 likes · 18 min read
Unlock Lightning-Fast Search: Proven Elasticsearch Performance Tuning Tips
JD Cloud Developers
JD Cloud Developers
Jun 15, 2023 · Databases

Mastering Distributed Join Queries: MySQL Sharding-JDBC and Elasticsearch Strategies

This article explores the challenges of distributed join queries, detailing MySQL sharding‑jdbc join implementation, routing strategies, and code examples, then examines Elasticsearch‑SQL join capabilities, various join algorithms, and practical considerations for using nested types, offering insights for optimizing performance in distributed data environments.

ElasticsearchMySQLdistributed
0 likes · 11 min read
Mastering Distributed Join Queries: MySQL Sharding-JDBC and Elasticsearch Strategies
Open Source Linux
Open Source Linux
Jun 9, 2023 · Backend Development

How We Built a High‑Availability Membership System for Billions of Users

This article details the design and implementation of a highly available, high‑performance membership platform serving over a billion users, covering Elasticsearch dual‑center clusters, traffic‑isolated clusters, deep ES optimizations, Redis caching strategies, MySQL dual‑center partitioning, seamless migration, and fine‑grained flow‑control and degradation mechanisms.

ElasticsearchMySQLRedis
0 likes · 21 min read
How We Built a High‑Availability Membership System for Billions of Users
Tongcheng Travel Technology Center
Tongcheng Travel Technology Center
Jun 6, 2023 · Operations

Root Cause Analysis and GC Parameter Optimization for Elasticsearch OOM Issues in the Membership Service

This article details a comprehensive investigation of an out‑of‑memory crash in a critical Elasticsearch cluster, explains how GC logs and heap dumps revealed a to‑space‑exhausted condition, and describes the G1GC tuning parameters that eliminated the nightly spikes and stabilized performance.

ElasticsearchG1GCJVM Tuning
0 likes · 9 min read
Root Cause Analysis and GC Parameter Optimization for Elasticsearch OOM Issues in the Membership Service
MaGe Linux Operations
MaGe Linux Operations
May 31, 2023 · Operations

How We Achieved 20k TPS High‑Availability for a Billion‑User Membership System

This article details the design and implementation of a highly available, high‑performance membership system that serves over a billion users, covering Elasticsearch dual‑center HA, traffic‑isolated clusters, Redis caching, MySQL dual‑center partitioning, seamless migration, and refined flow‑control and degradation strategies.

ElasticsearchMySQLRedis
0 likes · 19 min read
How We Achieved 20k TPS High‑Availability for a Billion‑User Membership System
Laravel Tech Community
Laravel Tech Community
May 28, 2023 · Big Data

Elasticsearch 8.8.0 Release Notes: Bug Fixes, Deprecations, and New Features

Elasticsearch 8.8.0, the latest release of the Lucene‑based distributed search engine, introduces numerous bug fixes across aggregations, allocation, application and authorization, deprecates certain allocation settings, and adds new capabilities such as templated search APIs, JWT authentication, DLM enhancements, health metrics, ingest node licensing checks, machine‑learning query extensions, ranking improvements, search enhancements, and TSDB support.

Elasticsearchbig-databug-fix
0 likes · 5 min read
Elasticsearch 8.8.0 Release Notes: Bug Fixes, Deprecations, and New Features
Zhuanzhuan Tech
Zhuanzhuan Tech
May 26, 2023 · Backend Development

ECP (Elasticsearch Chain Planning) System: Design, Features, and Implementation for Efficient Index Management

The article introduces the ECP system, a backend platform built on Elasticsearch that standardizes, automates, and visualizes index refresh workflows, addressing manual bottlenecks, data cleaning challenges, and coupling issues while providing task management, permission control, and environment isolation for high‑efficiency index operations.

ElasticsearchIndex managementautomation
0 likes · 12 min read
ECP (Elasticsearch Chain Planning) System: Design, Features, and Implementation for Efficient Index Management
Architecture Digest
Architecture Digest
May 16, 2023 · Backend Development

High‑Availability Architecture for a Membership System: Dual‑Center ES Cluster, Redis Caching, MySQL Migration, and Fine‑Grained Flow Control

This article presents a comprehensive engineering case study of a high‑traffic membership system, detailing the dual‑center Elasticsearch high‑availability design, traffic‑isolated three‑cluster ES architecture, Redis caching strategy, dual‑center MySQL partitioning and migration plan, abnormal member relationship governance, and future fine‑grained flow‑control and downgrade policies.

Data MigrationElasticsearchMySQL
0 likes · 19 min read
High‑Availability Architecture for a Membership System: Dual‑Center ES Cluster, Redis Caching, MySQL Migration, and Fine‑Grained Flow Control
ITPUB
ITPUB
May 15, 2023 · Big Data

Why ClickHouse Outperforms Elasticsearch in Log Analytics: A Practical Comparison

This article compares Elasticsearch and ClickHouse for log analytics by detailing their architectures, setting up Docker‑Compose stacks, ingesting synthetic syslog data with Vector, running equivalent queries, and measuring performance, revealing ClickHouse’s superior speed in most scenarios.

ClickHouseDockerElasticsearch
0 likes · 13 min read
Why ClickHouse Outperforms Elasticsearch in Log Analytics: A Practical Comparison
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
Efficient Ops
Efficient Ops
May 7, 2023 · Databases

Elasticsearch vs ClickHouse: Performance Comparison for Log Analytics

This article compares Elasticsearch and ClickHouse as log‑analytics solutions, detailing their architectures, node roles, data ingestion pipelines, query capabilities, and benchmark results, ultimately showing ClickHouse’s superior performance in most tested scenarios.

ClickHouseDockerElasticsearch
0 likes · 13 min read
Elasticsearch vs ClickHouse: Performance Comparison for Log Analytics
Java High-Performance Architecture
Java High-Performance Architecture
May 7, 2023 · Backend Development

How We Built a Billion‑User High‑Availability Membership System with Dual‑Center ES, Redis, and MySQL

This article details the design and implementation of a high‑performance, highly available membership platform serving billions of users, covering dual‑center Elasticsearch clusters, traffic‑isolated three‑cluster ES architecture, Redis caching strategies, MySQL dual‑center partitioning, seamless migration, and fine‑grained flow‑control and degradation mechanisms.

ElasticsearchMySQLRedis
0 likes · 21 min read
How We Built a Billion‑User High‑Availability Membership System with Dual‑Center ES, Redis, and MySQL
ITPUB
ITPUB
May 2, 2023 · Backend Development

Four Ways to Sync MySQL Data to Elasticsearch – Pros, Cons, and Tools

This article compares four common approaches for synchronizing MySQL data to Elasticsearch—synchronous dual write, asynchronous dual write via message queues, scheduled tasks, and binlog‑based data subscription—detailing their advantages, drawbacks, implementation steps, and tool choices such as Canal, Maxwell, and Python‑MySQL‑Replication.

CanalElasticsearchMessage Queue
0 likes · 6 min read
Four Ways to Sync MySQL Data to Elasticsearch – Pros, Cons, and Tools
Top Architect
Top Architect
Apr 26, 2023 · Databases

Comparative Performance and Feature Analysis of Elasticsearch vs ClickHouse

This article presents a practical comparison between Elasticsearch and ClickHouse, detailing their architectures, Docker‑Compose deployment, data ingestion pipelines, a series of representative queries, and benchmark results that show ClickHouse generally outperforms Elasticsearch in basic search and aggregation scenarios.

ClickHouseDocker ComposeElasticsearch
0 likes · 14 min read
Comparative Performance and Feature Analysis of Elasticsearch vs ClickHouse
Architect
Architect
Apr 23, 2023 · Big Data

Performance Comparison of Elasticsearch and ClickHouse for Log Analytics

This article compares Elasticsearch and ClickHouse by describing their architectures, demonstrating a Docker‑compose test environment, executing equivalent queries via both systems, and presenting performance results that show ClickHouse generally outperforms Elasticsearch in basic search and aggregation scenarios for log data.

ClickHouseElasticsearchPerformance
0 likes · 12 min read
Performance Comparison of Elasticsearch and ClickHouse for Log Analytics
Code Ape Tech Column
Code Ape Tech Column
Apr 19, 2023 · Databases

Comparative Analysis of Elasticsearch and ClickHouse: Architecture, Query Performance, and Practical Benchmarks

This article compares Elasticsearch and ClickHouse by outlining their architectures, detailing deployment configurations, presenting benchmark queries and performance results, and concluding that ClickHouse generally outperforms Elasticsearch in many basic search and aggregation scenarios, while also noting each system's strengths and limitations.

Big DataClickHouseDatabase Comparison
0 likes · 13 min read
Comparative Analysis of Elasticsearch and ClickHouse: Architecture, Query Performance, and Practical Benchmarks
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Apr 13, 2023 · Cloud Native

How Alibaba Cloud Made Elasticsearch Fully Serverless: Architecture & Performance Gains

Alibaba Cloud unveiled the fully serverless Elasticsearch architecture at the 2023 Elastic China Developer Conference, highlighting cloud‑native upgrades, the OpenStore storage engine, and TimeStream time‑series enhancements that dramatically improve cost efficiency, scalability, and query performance.

Alibaba CloudElasticsearchOpenStore
0 likes · 5 min read
How Alibaba Cloud Made Elasticsearch Fully Serverless: Architecture & Performance Gains
Java Architect Essentials
Java Architect Essentials
Apr 12, 2023 · Operations

High‑Availability Architecture for a Billion‑Scale Membership System

This article details the design and implementation of a high‑availability, billion‑scale membership system, covering Elasticsearch dual‑center clusters, traffic‑isolated architectures, deep ES optimizations, Redis caching strategies, MySQL migration with dual‑center partitioning, abnormal member relationship handling, and future fine‑grained flow‑control and degradation plans.

ElasticsearchFlow ControlMySQL
0 likes · 20 min read
High‑Availability Architecture for a Billion‑Scale Membership System
Software Development Quality
Software Development Quality
Apr 4, 2023 · Operations

How Traffic Recording & Replay Boosts Test Efficiency at China Agricultural Bank

This article explains the challenges of testing in a rapidly evolving banking system and introduces a traffic recording and replay platform that automates test case generation, improves coverage, and reduces manual effort through web‑server, network‑stack, and application‑level recording techniques.

Elasticsearchreplay testingsoftware testing
0 likes · 10 min read
How Traffic Recording & Replay Boosts Test Efficiency at China Agricultural Bank
HelloTech
HelloTech
Apr 3, 2023 · Artificial Intelligence

Integrating Machine Learning with Elasticsearch for Enhanced Ranking Capabilities

At the 2023 Elastic China Developer Conference in Shenzhen, Peng Cheng of Hello Technology will demonstrate how migrating online machine‑learning predictions into Elasticsearch can exploit its distributed architecture to rank thousands of models, expand model types and computational depth, and unlock new growth opportunities for business applications, underscoring the event’s status as China’s premier Elasticsearch open‑source technology forum.

ElasticsearchMachine LearningTechnical Conference
0 likes · 2 min read
Integrating Machine Learning with Elasticsearch for Enhanced Ranking Capabilities
Java High-Performance Architecture
Java High-Performance Architecture
Mar 24, 2023 · Backend Development

Explore Echo: Open-Source Java Community Platform & Deployment Guide

Echo is a full‑stack open‑source Java community system built with Spring Boot, MyBatis, MySQL, Redis, Kafka and Elasticsearch, offering modules like posts, comments and notifications, and the article provides its core tech stack, development environment, local setup steps, deployment architecture, demo screenshots and source code access.

ElasticsearchJavaKafka
0 likes · 5 min read
Explore Echo: Open-Source Java Community Platform & Deployment Guide
Su San Talks Tech
Su San Talks Tech
Mar 14, 2023 · Databases

How to Solve Read‑Amplification in MySQL Sharding: Strategies & Tips

This article explains the concepts of database sharding, compares vertical and horizontal partitioning, discusses ID‑range and modulo sharding methods, analyzes the read‑amplification problem caused by non‑sharding keys, and presents practical solutions such as auxiliary index tables, Elasticsearch integration, and TiDB adoption.

Database ScalingElasticsearchHorizontal Partitioning
0 likes · 14 min read
How to Solve Read‑Amplification in MySQL Sharding: Strategies & Tips
Zhuanzhuan Tech
Zhuanzhuan Tech
Mar 2, 2023 · Backend Development

Location-Based Services (LBS) in On‑Site Fulfillment: Geofencing, Order Allocation, Routing and Autonomous Scheduling

This article explains how a location‑based service platform uses geofencing, R‑tree indexing, ray‑casting algorithms, and Elasticsearch GEO queries to determine service eligibility, allocate on‑site engineers, plan routes, and enable autonomous order scheduling for a C2B recycling business.

ElasticsearchGeofencingLBS
0 likes · 12 min read
Location-Based Services (LBS) in On‑Site Fulfillment: Geofencing, Order Allocation, Routing and Autonomous Scheduling
Su San Talks Tech
Su San Talks Tech
Feb 27, 2023 · Big Data

How to Build Near Real-Time Elasticsearch Indexes for PB-Scale Data

This article explains how to construct near real-time Elasticsearch indexes for petabyte‑scale datasets by comparing MySQL limitations, introducing ES fundamentals, leveraging Hive and wide tables, and employing binlog‑based tools like Canal and Otter for low‑latency data synchronization.

CanalElasticsearchHive
0 likes · 22 min read
How to Build Near Real-Time Elasticsearch Indexes for PB-Scale Data
Architect's Guide
Architect's Guide
Feb 25, 2023 · Big Data

Elasticsearch Optimization and Performance Tuning for Billion‑Scale Data

This article documents the evolution of a data platform, explains Elasticsearch and Lucene fundamentals, and presents practical index and search performance optimizations—including bulk writes, refresh control, memory allocation, doc‑values tuning, and pagination strategies—that enable cross‑month queries and sub‑second responses on billions of records.

ElasticsearchLucenePerformance Tuning
0 likes · 11 min read
Elasticsearch Optimization and Performance Tuning for Billion‑Scale Data
Top Architect
Top Architect
Feb 22, 2023 · Backend Development

High‑Availability Architecture for a Billion‑User Membership System: ES Dual‑Center Clusters, Traffic Isolation, Redis Caching, and MySQL Migration

The article describes how a large‑scale membership system serving over a billion users achieves high performance and availability through dual‑center Elasticsearch clusters, traffic‑isolated three‑cluster designs, Redis caching with distributed locks, and a seamless migration from SQL Server to sharded MySQL, while also detailing operational safeguards and fine‑grained flow‑control strategies.

ElasticsearchMySQLSystem Architecture
0 likes · 20 min read
High‑Availability Architecture for a Billion‑User Membership System: ES Dual‑Center Clusters, Traffic Isolation, Redis Caching, and MySQL Migration
TAL Education Technology
TAL Education Technology
Feb 16, 2023 · Big Data

Step‑by‑Step Guide to Syncing Canal Data to Elasticsearch

This article provides a comprehensive, hands‑on tutorial for configuring Alibaba Canal and its client‑adapter to capture MySQL binlog changes and synchronize them into Elasticsearch, covering environment setup, Docker commands, YAML configuration files, index mapping, adapter startup, and common troubleshooting scenarios.

CDCCanalConfiguration
0 likes · 26 min read
Step‑by‑Step Guide to Syncing Canal Data to Elasticsearch
DeWu Technology
DeWu Technology
Feb 15, 2023 · Backend Development

E-commerce Product Ranking System Migration: Technical Implementation and Storage Optimization

The article describes how an e‑commerce product ranking system was migrated to the new “Liao Yue” platform, decoupling it from the search module, introducing fresh metrics and Elasticsearch‑based sorting, then optimizing storage by separating B‑end and C‑end data—cutting costs 60%—with a gray‑scale rollout, dual‑read validation, rollback safeguards, and completing the two‑week, zero‑failure migration that delivered a closed‑loop, faster iteration system.

ElasticsearchE‑commerceSystem Migration
0 likes · 15 min read
E-commerce Product Ranking System Migration: Technical Implementation and Storage Optimization
Code Ape Tech Column
Code Ape Tech Column
Feb 14, 2023 · Backend Development

High‑Availability Architecture for a Billion‑Scale Membership System: Elasticsearch Dual‑Center Cluster, Redis Caching, and MySQL Migration

This article describes how a membership platform serving over ten billion users achieves high performance and fault tolerance through a dual‑center Elasticsearch cluster, traffic‑isolated three‑cluster ES design, Redis multi‑center caching, and a seamless migration from SQL Server to a partitioned MySQL architecture, while detailing operational safeguards and fine‑grained flow‑control strategies.

ElasticsearchMySQLoperations
0 likes · 23 min read
High‑Availability Architecture for a Billion‑Scale Membership System: Elasticsearch Dual‑Center Cluster, Redis Caching, and MySQL Migration
Shepherd Advanced Notes
Shepherd Advanced Notes
Feb 13, 2023 · Backend Development

Elasticsearch Advanced Guide: Core Concepts and Implementation Principles

This article provides a comprehensive technical overview of Elasticsearch, covering core concepts such as indexes, types, documents, fields, mappings, shards and replicas, the cluster architecture, routing, write and read workflows, segment handling, translog, refresh and flush mechanisms, as well as practical optimization recommendations for hardware, shard strategy, routing, write performance and memory configuration.

Cluster ArchitectureElasticsearchIndexing
0 likes · 36 min read
Elasticsearch Advanced Guide: Core Concepts and Implementation Principles
21CTO
21CTO
Feb 11, 2023 · Big Data

Mastering Elasticsearch: Core Concepts, Architecture, and Performance Tips

This comprehensive guide explains what Elasticsearch does, its underlying Lucene technology, core concepts such as clusters, shards, replicas, mapping, indexing and storage mechanisms, and provides practical performance‑tuning advice for building and operating a robust distributed search engine.

ClusterElasticsearchinverted index
0 likes · 35 min read
Mastering Elasticsearch: Core Concepts, Architecture, and Performance Tips
Shepherd Advanced Notes
Shepherd Advanced Notes
Feb 5, 2023 · Databases

Elasticsearch Basics: Overview, Operations, and Integration Guide

This article introduces Elasticsearch as a scalable distributed search engine, compares it with Solr, walks through local, Docker, and Kubernetes installation, explains its document‑oriented data model, demonstrates CRUD operations via REST API, and shows how to integrate it with Spring Boot using the official Java client.

CRUDDockerElasticsearch
0 likes · 23 min read
Elasticsearch Basics: Overview, Operations, and Integration Guide
Su San Talks Tech
Su San Talks Tech
Feb 1, 2023 · Backend Development

How to Sync MySQL Data to Elasticsearch: 4 Practical Strategies

This article explores four common approaches for synchronizing product data from MySQL to Elasticsearch in e‑commerce systems—synchronous dual write, asynchronous dual write with message queues, scheduled tasks, and binlog‑based data subscription—detailing their advantages, drawbacks, and implementation considerations.

CanalData synchronizationElasticsearch
0 likes · 7 min read
How to Sync MySQL Data to Elasticsearch: 4 Practical Strategies
Java Architect Essentials
Java Architect Essentials
Jan 31, 2023 · Big Data

Optimizing Large-Scale Data Retrieval: ClickHouse Pagination, Elasticsearch Scroll Scan, ES+HBase, and RediSearch + RedisJSON Solutions

This article examines a business requirement to filter and rank up to 100,000 records from a pool of tens of millions, presenting and evaluating four technical solutions—multithreaded ClickHouse pagination, Elasticsearch scroll‑scan deep paging, an ES‑HBase combined query, and a RediSearch + RedisJSON approach—along with performance data and code examples.

ClickHouseElasticsearchHBase
0 likes · 12 min read
Optimizing Large-Scale Data Retrieval: ClickHouse Pagination, Elasticsearch Scroll Scan, ES+HBase, and RediSearch + RedisJSON Solutions
macrozheng
macrozheng
Jan 31, 2023 · Backend Development

How to Sync MySQL Data to Elasticsearch: 4 Practical Strategies

This article explores four common approaches for synchronizing product data from MySQL to Elasticsearch—including synchronous dual writes, asynchronous messaging, scheduled jobs, and binlog‑based data subscription—detailing their advantages, drawbacks, and implementation considerations for e‑commerce search systems.

Data synchronizationElasticsearchMessage Queue
0 likes · 6 min read
How to Sync MySQL Data to Elasticsearch: 4 Practical Strategies
ITPUB
ITPUB
Jan 30, 2023 · Backend Development

How to Keep MySQL and Elasticsearch in Sync: 4 Practical Strategies

This article examines four common approaches for synchronizing product data from MySQL to Elasticsearch—synchronous dual write, asynchronous dual write with message queues, scheduled batch jobs, and binlog‑based data subscription—detailing their advantages, drawbacks, and implementation considerations.

CanalData synchronizationElasticsearch
0 likes · 6 min read
How to Keep MySQL and Elasticsearch in Sync: 4 Practical Strategies
Architect
Architect
Jan 26, 2023 · Backend Development

Optimizing Elasticsearch for High‑Concurrency LBS Search with an RLE‑Based Inverted Index

This article details Meituan's search‑engine optimization for its food‑delivery platform, describing the performance bottlenecks of Elasticsearch's inverted‑list query and merge phases, the design of a run‑length‑encoding (RLE) index, custom hash‑map term look‑ups, sparse RoaringBitmap structures, integration steps, and the resulting 84% latency reduction.

ElasticsearchJavaRLE
0 likes · 27 min read
Optimizing Elasticsearch for High‑Concurrency LBS Search with an RLE‑Based Inverted Index
MaGe Linux Operations
MaGe Linux Operations
Jan 19, 2023 · Operations

Mastering ELK: Compare Three Log Collection Architectures and Solve Common Issues

This article introduces the ELK stack’s core components, compares three typical deployment architectures—including Logstash‑only, Filebeat‑assisted, and Kafka‑backed designs—highlights their trade‑offs, and provides practical solutions for multiline log merging, timestamp correction, and module‑specific filtering using Logstash and Filebeat configurations.

ELKElasticsearchFilebeat
0 likes · 11 min read
Mastering ELK: Compare Three Log Collection Architectures and Solve Common Issues
Ctrip Technology
Ctrip Technology
Jan 12, 2023 · Big Data

Evolution of Ctrip's Log System: From Elasticsearch to ClickHouse and Log 3.0

This article details the evolution of Ctrip's log infrastructure, describing the shift from fragmented departmental logging to a unified Elasticsearch-based platform, the migration to ClickHouse for cost‑effective, high‑performance storage, and the subsequent Log 3.0 redesign that leverages Kubernetes, sharding, and a unified query governance layer to handle petabyte‑scale data.

Big DataClickHouseETL
0 likes · 16 min read
Evolution of Ctrip's Log System: From Elasticsearch to ClickHouse and Log 3.0
Top Architect
Top Architect
Jan 11, 2023 · Big Data

Comprehensive Elasticsearch Query Guide with Java High Level REST Client Examples

This tutorial provides a thorough overview of Elasticsearch 7.13.2 query techniques—including term, terms, range, prefix, wildcard, boolean, filter, and aggregation queries—showing both raw DSL syntax and equivalent Java High Level REST Client code, enabling developers to quickly master search operations on large datasets.

AggregationElasticsearchquery
0 likes · 16 min read
Comprehensive Elasticsearch Query Guide with Java High Level REST Client Examples
Java High-Performance Architecture
Java High-Performance Architecture
Jan 5, 2023 · Databases

Scaling Billions of Orders: MySQL Sharding, ES & Hive Strategies

This article explains how to handle massive order volumes by classifying data into hot and cold tiers, storing them in MySQL, Elasticsearch, and Hive, and implementing sharding and partitioning strategies—including shard keys, modulo routing, and combined database‑table distribution—to achieve high throughput and low cost.

Database ScalingElasticsearchHive
0 likes · 8 min read
Scaling Billions of Orders: MySQL Sharding, ES & Hive Strategies
Code Ape Tech Column
Code Ape Tech Column
Jan 3, 2023 · Big Data

Elasticsearch vs ClickHouse: Performance, Cost, and Deployment Guide

This article compares Elasticsearch and ClickHouse in terms of write throughput, query speed, and server cost, then provides a step‑by‑step deployment guide for a private data pipeline using Zookeeper, Kafka, FileBeat, and ClickHouse, along with common issues and their solutions.

Big DataClickHouseData Pipeline
0 likes · 15 min read
Elasticsearch vs ClickHouse: Performance, Cost, and Deployment Guide
Architect
Architect
Dec 30, 2022 · Databases

Database Sharding and Partitioning Strategy for High‑Volume Order Systems

The article explains how to handle billions of daily orders by classifying data into hot and cold segments, storing them in MySQL, Elasticsearch, and Hive, and applying sharding and partitioning techniques at both table and database levels to achieve scalable performance.

Data PartitioningElasticsearchHive
0 likes · 9 min read
Database Sharding and Partitioning Strategy for High‑Volume Order Systems
MaGe Linux Operations
MaGe Linux Operations
Dec 21, 2022 · Operations

Mastering Elasticsearch Nodes: Types, Roles, and Scaling Strategies

This guide explains the different Elasticsearch node types, their default roles, how to configure master‑eligible, data, ingest, and coordinating‑only nodes, and provides best‑practice recommendations for planning and scaling large clusters to ensure stability and performance.

Cluster ConfigurationCoordinating NodeData Node
0 likes · 12 min read
Mastering Elasticsearch Nodes: Types, Roles, and Scaling Strategies
Architect
Architect
Dec 19, 2022 · Databases

Understanding Elasticsearch DSL Query Syntax (7.x)

This article provides a comprehensive guide to Elasticsearch 7.x DSL query syntax, explaining core keywords, field mappings, various query types such as match, term, range, fuzzy, and bool, and includes practical code examples for building effective search queries.

DSLElasticsearchElasticsearch7
0 likes · 8 min read
Understanding Elasticsearch DSL Query Syntax (7.x)
php Courses
php Courses
Dec 9, 2022 · Databases

Elasticsearch Index and Document Operations Tutorial

This tutorial explains how to create, query, update, and delete Elasticsearch indices and documents using RESTful HTTP requests, covering basic CRUD operations, various query types, pagination, sorting, aggregations, highlighting, and mapping definitions with practical JSON examples.

Big DataElasticsearchIndexing
0 likes · 8 min read
Elasticsearch Index and Document Operations Tutorial
dbaplus Community
dbaplus Community
Dec 6, 2022 · Backend Development

How Meituan Cut Elasticsearch Search Latency by 84% with an RLE‑Based Inverted Index

This article details Meituan's search‑engine team optimization of Elasticsearch for a high‑traffic LBS scenario, describing the performance bottlenecks in term‑posting retrieval and merging, the design of a run‑length‑encoding (RLE) inverted index, its integration as a plugin, extensive benchmarking, and the resulting 84% reduction in TP99 query latency.

Backend SearchElasticsearchRoaringBitmap
0 likes · 25 min read
How Meituan Cut Elasticsearch Search Latency by 84% with an RLE‑Based Inverted Index
Java High-Performance Architecture
Java High-Performance Architecture
Dec 5, 2022 · Backend Development

How to Build a High‑Performance, Highly Available Membership System with ES, Redis, and MySQL

This article explains how a large‑scale membership system achieves high performance and high availability by using a dual‑center Elasticsearch cluster, traffic‑isolated three‑cluster architecture, Redis caching with dual‑center clusters, and a MySQL partitioned dual‑center setup, while also detailing optimization, migration, and fine‑grained flow‑control strategies.

ElasticsearchMySQLRedis
0 likes · 21 min read
How to Build a High‑Performance, Highly Available Membership System with ES, Redis, and MySQL
Architects Research Society
Architects Research Society
Dec 3, 2022 · Databases

Solr vs Elasticsearch: Choosing the Right Search Engine for Your Organization

This article compares Solr and Elasticsearch, examining their cloud, analytics, and cognitive search capabilities, and provides guidance on selecting the most suitable engine based on factors such as deployment complexity, resource requirements, scalability, integration with Hadoop ecosystems, and specific organizational use cases.

Big DataComparisonElasticsearch
0 likes · 9 min read
Solr vs Elasticsearch: Choosing the Right Search Engine for Your Organization
Tencent Cloud Developer
Tencent Cloud Developer
Dec 2, 2022 · Big Data

Design and Implementation of a Hundred‑Billion‑Scale Real‑Time Monitoring System

The paper presents the design and deployment of a hundred‑billion‑scale real‑time monitoring platform that meets stringent data‑collection, analysis, storage, alerting and visualization requirements, compares Oceanus + Elastic Stack against a Zabbix‑Prometheus‑Grafana stack, selects the former, and details performance‑and cost‑optimizations that enable massive, low‑latency monitoring while maintaining high availability.

ElasticsearchFlinkMonitoring
0 likes · 20 min read
Design and Implementation of a Hundred‑Billion‑Scale Real‑Time Monitoring System
DataFunTalk
DataFunTalk
Nov 27, 2022 · Operations

Best Practices for Full‑Stack Operations Monitoring and Cost Reduction Using Alibaba Cloud Elasticsearch

This article presents a comprehensive, three‑part guide on the current state of full‑stack operations monitoring, common challenges and solutions, and a real‑world use case, illustrating how Alibaba Cloud Elasticsearch can improve observability, boost performance, and cut costs for complex distributed systems.

AIOpsElasticsearchObservability
0 likes · 13 min read
Best Practices for Full‑Stack Operations Monitoring and Cost Reduction Using Alibaba Cloud Elasticsearch
21CTO
21CTO
Nov 20, 2022 · Big Data

How Meituan’s Logan Real‑Time Log System Boosts Debugging Across Mobile, Web, and IoT

This article details the design, architecture, and implementation of Meituan's Logan real‑time logging platform, covering its workflow, multi‑terminal collection SDK, ingestion, Flink‑based processing, consumption layers, stability measures, and future roadmap, illustrating how it improves fault diagnosis and system reliability.

ElasticsearchFlinkKafka
0 likes · 18 min read
How Meituan’s Logan Real‑Time Log System Boosts Debugging Across Mobile, Web, and IoT
Meituan Technology Team
Meituan Technology Team
Nov 17, 2022 · Backend Development

Elasticsearch Query and Merge Optimization Using Run-Length Encoding for Meituan Takeaway Search

Meituan's food‑delivery search team identified heavy CPU and latency hotspots in Elasticsearch's posting‑list query and merge phases, then redesigned the inverted index using Run‑Length Encoding, hash‑based term lookup, index sorting and a custom SparseRoaringDocIdSet, ultimately reducing TP99 search latency by 84% and cutting CPU usage dramatically.

ElasticsearchIndex SortingJava
0 likes · 26 min read
Elasticsearch Query and Merge Optimization Using Run-Length Encoding for Meituan Takeaway Search
Liulishuo Tech Team
Liulishuo Tech Team
Nov 17, 2022 · Big Data

Real‑time Data Warehouse Architecture and Technical Solution at Liulishuo

This article describes Liulishuo's migration to a Flink‑based real‑time data warehouse, covering background, benefits, technology selection (storage, Flink platform, dimension table connectors), overall architecture, concrete Hudi and Elasticsearch ingestion examples, processing SQL, and future outlook for unified batch‑streaming storage.

ElasticsearchFlinkHudi
0 likes · 15 min read
Real‑time Data Warehouse Architecture and Technical Solution at Liulishuo
HelloTech
HelloTech
Nov 15, 2022 · Backend Development

Investigation of Elasticsearch RestClient Load‑Balancing and Traffic Skew Issues

The investigation revealed that Elasticsearch RestClient’s built‑in round‑robin and dead‑node blacklisting redirected traffic from failed data‑node addresses—mistakenly included in the static IP list—onto a single client node, causing severe load imbalance and timeouts, which were eliminated after correcting the IP list.

ElasticsearchJava ClientRound Robin
0 likes · 17 min read
Investigation of Elasticsearch RestClient Load‑Balancing and Traffic Skew Issues
Selected Java Interview Questions
Selected Java Interview Questions
Nov 13, 2022 · Backend Development

Integrating Elasticsearch with Spring Boot for Book Search: A Step‑by‑Step Guide

This article explains why MySQL LIKE queries are inefficient for search, introduces Elasticsearch as a high‑performance alternative, and provides a complete Spring Boot integration tutorial—including version compatibility, Maven dependencies, Java configuration, entity mapping, repository interfaces, service and controller code, and testing steps—to implement CRUD‑style full‑text search for a book catalog.

CRUDElasticsearchJava
0 likes · 11 min read
Integrating Elasticsearch with Spring Boot for Book Search: A Step‑by‑Step Guide
High Availability Architecture
High Availability Architecture
Nov 7, 2022 · Backend Development

Design and Implementation of Meituan's Logan Real-Time Log System

This article describes how Meituan built Logan, a high‑performance, end‑to‑end real‑time logging platform for mobile, web, mini‑programs and IoT, covering its background, architecture, data collection, processing, consumption, monitoring, deployment strategies, achieved results and future roadmap.

ElasticsearchFlinkKafka
0 likes · 15 min read
Design and Implementation of Meituan's Logan Real-Time Log System
Meituan Technology Team
Meituan Technology Team
Nov 3, 2022 · Backend Development

Design and Implementation of Logan Real-Time Log System at Meituan

The article details Meituan’s end‑to‑end design and implementation of Logan, a high‑performance real‑time logging service for mobile apps, web, mini‑programs and IoT, covering background challenges, architecture layers, technology choices such as Flink and Elasticsearch, stability measures, deployment practices, achieved results and future plans.

Blue-Green DeploymentElasticsearchFlink
0 likes · 21 min read
Design and Implementation of Logan Real-Time Log System at Meituan
Su San Talks Tech
Su San Talks Tech
Nov 3, 2022 · Backend Development

Mastering Elasticsearch Pagination: From From/Size to Scroll and Search After

Elasticsearch offers several pagination strategies—simple from/size, scroll, scroll‑scan, sliced scroll, and the newer search_after with point‑in‑time—each with distinct performance trade‑offs and use‑case suitability, and this guide explains their mechanics, limitations, and best‑practice recommendations for handling deep pagination.

ElasticsearchPerformancescroll
0 likes · 18 min read
Mastering Elasticsearch Pagination: From From/Size to Scroll and Search After
Architecture Digest
Architecture Digest
Oct 30, 2022 · Backend Development

High‑Availability Architecture for a Large‑Scale Membership System

This article details the design and implementation of a high‑availability, high‑performance membership system that serves billions of users across multiple platforms, covering Elasticsearch dual‑center clusters, traffic‑isolated three‑cluster setups, Redis caching strategies, MySQL dual‑center partitioning, and advanced flow‑control and degradation mechanisms.

ElasticsearchSystem Architecturehigh availability
0 likes · 18 min read
High‑Availability Architecture for a Large‑Scale Membership System
Architect's Guide
Architect's Guide
Oct 27, 2022 · Big Data

Elasticsearch Overview: Data Types, Lucene Foundations, Core Concepts, Cluster Architecture, Indexing, Storage, and Performance Optimization

This article provides a comprehensive introduction to Elasticsearch, covering the distinction between structured and unstructured data, Lucene’s inverted index, ES core concepts such as clusters, nodes, shards and replicas, mapping, basic usage, storage mechanisms, and practical performance‑tuning tips for large‑scale search deployments.

ElasticsearchIndexingLucene
0 likes · 39 min read
Elasticsearch Overview: Data Types, Lucene Foundations, Core Concepts, Cluster Architecture, Indexing, Storage, and Performance Optimization
Selected Java Interview Questions
Selected Java Interview Questions
Oct 23, 2022 · Big Data

Building a Cost‑Effective Data Analysis Platform: ClickHouse vs Elasticsearch and Deployment Guide for Zookeeper, Kafka, Filebeat, and ClickHouse

This article compares Elasticsearch and ClickHouse for log analytics, presents cost‑benefit calculations, and provides a step‑by‑step deployment guide for Zookeeper, Kafka, Filebeat, and ClickHouse to build a scalable, low‑cost data analysis platform for SaaS services.

Big DataClickHouseElasticsearch
0 likes · 12 min read
Building a Cost‑Effective Data Analysis Platform: ClickHouse vs Elasticsearch and Deployment Guide for Zookeeper, Kafka, Filebeat, and ClickHouse
Architecture Digest
Architecture Digest
Oct 21, 2022 · Operations

Benchmarking and Sizing Your Elasticsearch Cluster for Logs and Metrics

This article explains how to assess hardware resources, calculate required Elasticsearch cluster size based on data volume, and perform indexing and search benchmark tests to ensure stable performance and optimal throughput for log and metric workloads in production environments.

Cluster SizingElasticsearchMetrics
0 likes · 10 min read
Benchmarking and Sizing Your Elasticsearch Cluster for Logs and Metrics
Top Architect
Top Architect
Oct 19, 2022 · Big Data

Elasticsearch Architecture Overview and Core Concepts

This article provides a comprehensive overview of Elasticsearch, covering data types, Lucene fundamentals, cluster architecture, shard allocation, indexing mechanisms, storage strategies, refresh and translog processes, segment merging, performance tuning, and JVM optimization for building scalable, near‑real‑time search solutions.

Big DataClusterElasticsearch
0 likes · 37 min read
Elasticsearch Architecture Overview and Core Concepts
Top Architect
Top Architect
Oct 14, 2022 · Databases

Elasticsearch Overview: Architecture, Core Concepts, and Performance Optimization

This article provides a comprehensive introduction to Elasticsearch, covering data types, Lucene fundamentals, cluster architecture, node roles, shard and replica mechanisms, mapping, basic usage, installation steps, health monitoring, indexing workflow, storage strategies, refresh and translog handling, segment merging, and practical performance tuning tips.

ClusterElasticsearchIndexing
0 likes · 36 min read
Elasticsearch Overview: Architecture, Core Concepts, and Performance Optimization
dbaplus Community
dbaplus Community
Oct 9, 2022 · Operations

How Ping An Health Scaled SkyWalking to Billions of Traces: A Full‑Link Monitoring Journey

This article recounts the end‑to‑end design, implementation, and iterative optimization of a billion‑scale full‑link tracing system at Ping An Health using SkyWalking, covering why full‑link monitoring is needed, the selection of SkyWalking, architecture choices, performance bottlenecks, and the roadmap for future enhancements.

APMElasticsearchFull‑Link Tracing
0 likes · 21 min read
How Ping An Health Scaled SkyWalking to Billions of Traces: A Full‑Link Monitoring Journey
DataFunSummit
DataFunSummit
Sep 28, 2022 · Big Data

Elasticsearch Time Series Engine: Practices, Challenges, and Alibaba Cloud TimeStream

This article presents a comprehensive overview of using Elasticsearch as a time series engine, covering its motivations, challenges, key features, Alibaba Cloud TimeStream optimizations such as columnar storage, LSM structures, downsampling, and integration with Prometheus and Grafana, while also discussing performance and cost considerations.

Big DataDownsamplingElasticsearch
0 likes · 15 min read
Elasticsearch Time Series Engine: Practices, Challenges, and Alibaba Cloud TimeStream
Baidu Geek Talk
Baidu Geek Talk
Sep 28, 2022 · Backend Development

How to Optimize Elasticsearch Queries for Precise Enterprise Search Results

This article walks through the practical steps of improving Elasticsearch relevance for an enterprise search platform, covering user requirements, index creation, analysis, scoring models, boost and filter techniques, function_score customizations, and post‑query interventions to deliver more accurate and business‑aligned results.

ElasticsearchQuery DSLRelevance Scoring
0 likes · 11 min read
How to Optimize Elasticsearch Queries for Precise Enterprise Search Results
Code Ape Tech Column
Code Ape Tech Column
Sep 15, 2022 · Databases

Understanding Data Heterogeneity: Scenarios, Methods, and Implementation with Binlog, Canal, and MQ

This article explains the concept of data heterogeneity, outlines common use cases such as sharding and multi‑dimensional queries, and details practical implementation methods including full cloning, marked sync, binlog‑based replication with Canal, and MQ‑driven approaches, while providing deployment tips and references.

CanalElasticsearchMessage Queue
0 likes · 12 min read
Understanding Data Heterogeneity: Scenarios, Methods, and Implementation with Binlog, Canal, and MQ
Selected Java Interview Questions
Selected Java Interview Questions
Sep 13, 2022 · Big Data

Java API for Elasticsearch: Configuration, CRUD, DSL Queries, Pagination, Sorting, and Highlighting

This article demonstrates how to integrate Elasticsearch 6.2.1 with a Spring Boot project using the high‑level REST client, covering Maven dependencies, bean configuration, index creation and deletion, various DSL queries, pagination, sorting, boosting, boolean filters, and result highlighting with complete Java code examples.

DSLElasticsearchPagination
0 likes · 17 min read
Java API for Elasticsearch: Configuration, CRUD, DSL Queries, Pagination, Sorting, and Highlighting
DataFunTalk
DataFunTalk
Sep 8, 2022 · Databases

Elasticsearch as a Time Series Engine: Practices, Challenges, and Alibaba Cloud TimeStream Solutions

This article explains why Elasticsearch is being adapted as a time‑series engine, outlines its unique characteristics and challenges such as high query complexity and storage cost, and introduces Alibaba Cloud’s TimeStream solution with optimizations like index settings, compression, down‑sampling, and Prometheus integration.

DataStreamElasticsearchtime series
0 likes · 13 min read
Elasticsearch as a Time Series Engine: Practices, Challenges, and Alibaba Cloud TimeStream Solutions
Tencent Cloud Middleware
Tencent Cloud Middleware
Sep 6, 2022 · Cloud Computing

Quickly Set Up One‑Click Data Ingestion Pipelines in Tencent Cloud Elasticsearch

This guide explains how to use Tencent Cloud Elasticsearch Service’s one‑click data‑link visual integration with CKafka to create end‑to‑end pipelines—covering source selection, component configuration, data collection, caching, processing, and destination setup—for both CVM and TKE environments, while reducing operational overhead.

CKafkaCVMCloud Computing
0 likes · 9 min read
Quickly Set Up One‑Click Data Ingestion Pipelines in Tencent Cloud Elasticsearch