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Mingyi World Elasticsearch
Mingyi World Elasticsearch
May 11, 2026 · Databases

When Search Meets Rust: A Deep Dive into INFINI Pizza, the Next‑Gen Real‑Time Search Engine

This article analytically examines INFINI Pizza, a Rust‑implemented distributed search database, detailing its design philosophy, hierarchical data model, rolling‑partition‑shard architecture, share‑nothing + io_uring I/O stack, true real‑time indexing, in‑place partial updates, AI‑native hybrid search capabilities, ecosystem components, and a point‑by‑point comparison with Elasticsearch.

AI-nativeDistributedParquet
0 likes · 20 min read
When Search Meets Rust: A Deep Dive into INFINI Pizza, the Next‑Gen Real‑Time Search Engine
dbaplus Community
dbaplus Community
Apr 29, 2026 · Backend Development

Choosing a Scheduling Solution: Quartz vs XXL‑Job vs @Scheduled – Core Principles, Use Cases, Pros & Cons

The article provides a detailed comparison of three Java scheduling solutions—Spring's @Scheduled, Quartz, and XXL‑Job—covering their underlying mechanisms, key features, typical scenarios, common pitfalls, and practical recommendations to help developers select the most suitable option for their projects.

@ScheduledBackendDistributed
0 likes · 18 min read
Choosing a Scheduling Solution: Quartz vs XXL‑Job vs @Scheduled – Core Principles, Use Cases, Pros & Cons
Java Baker
Java Baker
Nov 27, 2025 · Backend Development

Mastering Rate Limiting: Token Bucket & Sliding Window Algorithms in Java

This article explains the principles and implementation details of common rate‑limiting algorithms—token bucket and sliding‑window counting—including their core concepts, key processes, Java code examples, and how to extend them to distributed scenarios with Redis Lua scripts.

DistributedSliding WindowToken Bucket
0 likes · 19 min read
Mastering Rate Limiting: Token Bucket & Sliding Window Algorithms in Java
Java Captain
Java Captain
May 14, 2025 · Backend Development

Rate Limiting in Java: Redis, Spring AOP, and Custom Annotations

This article explains the concept of rate limiting, introduces common algorithms such as token bucket and leaky bucket, and provides a complete Spring‑Boot implementation using Redis, custom annotations, AOP, and utility classes for distributed request throttling.

Distributedannotationrate limiting
0 likes · 21 min read
Rate Limiting in Java: Redis, Spring AOP, and Custom Annotations
Full-Stack Internet Architecture
Full-Stack Internet Architecture
Mar 14, 2025 · Databases

All About Redis Cluster: Architecture, Setup, Operations, and High‑Availability

This article provides a comprehensive guide to Redis Cluster, covering its background, overall architecture, deployment steps, configuration templates, cluster creation commands, basic key‑value operations, high‑availability testing, and how to manually assign master‑slave relationships for robust distributed caching.

ClusterDistributeddatabase
0 likes · 14 min read
All About Redis Cluster: Architecture, Setup, Operations, and High‑Availability
Java Tech Enthusiast
Java Tech Enthusiast
Oct 2, 2024 · Backend Development

Hotkey Detection Framework for JD App Backend

JD’s hot‑key detection framework instantly identifies bursty hot requests, pushes the hot keys to a clustered memory layer, and broadcasts them to all JVMs, enabling client‑side caching, user blocking, and circuit breaking, while handling up to 370 000 detections and 800 000 pushes per second and reducing backend query load by over 50 % in large‑scale events.

DistributedHotKeyJava
0 likes · 6 min read
Hotkey Detection Framework for JD App Backend
Code Ape Tech Column
Code Ape Tech Column
Sep 12, 2024 · Backend Development

Distributed WebSocket Messaging with Redis and Kafka in Spring

This article explains how to enable cross‑server WebSocket communication in a distributed Spring application by using a message queue such as Redis or Kafka, detailing two architectural approaches, concrete code examples, configuration files, and a sample client page.

BackendDistributedKafka
0 likes · 17 min read
Distributed WebSocket Messaging with Redis and Kafka in Spring
Su San Talks Tech
Su San Talks Tech
Aug 3, 2024 · Backend Development

Why Apache Pulsar’s Architecture Beats Traditional Message Queues

This article explains Apache Pulsar’s fast‑growing adoption, its compute‑storage separation architecture, BookKeeper‑based persistence, multi‑tenant support, flexible subscription models, and fault‑tolerant design, providing a comprehensive overview for developers interested in modern distributed messaging middleware.

BookKeeperDistributedMessaging
0 likes · 13 min read
Why Apache Pulsar’s Architecture Beats Traditional Message Queues
Top Architect
Top Architect
Jul 17, 2024 · Backend Development

Integrating Spring Boot with XXL‑Job for Distributed Task Scheduling

This article provides a step‑by‑step guide on combining Spring Boot with the open‑source XXL‑Job platform, covering its features, comparison with other schedulers, configuration of the admin console and executor, code examples, @XxlJob annotation parameters, and best practices for reliable distributed task management.

DistributedJavaSpring Boot
0 likes · 17 min read
Integrating Spring Boot with XXL‑Job for Distributed Task Scheduling
FunTester
FunTester
Jul 15, 2024 · Backend Development

Comparison and Practical Guide to Java etcd Clients

This article compares popular Java etcd client libraries, evaluates their features, performance, and suitability, and provides a hands‑on tutorial using jetcd with Maven dependencies, code examples for watching and reading keys, and discusses runtime considerations such as thread handling.

DistributedJavaetcd
0 likes · 10 min read
Comparison and Practical Guide to Java etcd Clients
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
Jul 24, 2023 · Databases

Why OpenGemini Is Emerging as the Go-To Open-Source Time-Series Database

On July 19, the openGemini community and Huawei Cloud DTT hosted a live session detailing openGemini’s open-source license, high performance, distributed architecture, and six key capabilities—including streaming aggregation, multi-level downsampling, log search, AI-driven anomaly detection, and a high-cardinality engine—showcasing its suitability for massive telemetry data across cloud-native and IoT scenarios.

Distributedcloud-nativehigh performance
0 likes · 10 min read
Why OpenGemini Is Emerging as the Go-To Open-Source Time-Series Database
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.

DistributedElasticsearchmysql
0 likes · 11 min read
Mastering Distributed Join Queries: MySQL Sharding-JDBC and Elasticsearch Strategies
Top Architect
Top Architect
Feb 9, 2023 · Backend Development

High-Concurrency Seckill Implementation in SpringBoot: Locking, Transaction, and Queue Strategies

This article demonstrates how to simulate high‑concurrency flash‑sale scenarios using SpringBoot, MySQL, and JMeter, and compares seven approaches—including lock‑based, AOP, pessimistic and optimistic locking, and queue‑based solutions such as BlockingQueue and Disruptor—to prevent overselling and improve performance.

DistributedQueueSeckill
0 likes · 19 min read
High-Concurrency Seckill Implementation in SpringBoot: Locking, Transaction, and Queue Strategies
ITPUB
ITPUB
Jan 9, 2023 · Databases

How MatrixOne’s Hyper‑Converged Architecture Redefines Cloud‑Native Databases

The article examines MatrixOne, a cloud‑native hyper‑converged database, detailing its storage‑compute separation, unified file service, resource isolation, HTAP streaming capabilities, and emerging serverless features, while outlining future directions such as CXL memory integration and broader cloud storage support.

DistributedHTAPHyper-Converged
0 likes · 9 min read
How MatrixOne’s Hyper‑Converged Architecture Redefines Cloud‑Native Databases
Alibaba Cloud Developer
Alibaba Cloud Developer
Nov 9, 2022 · Databases

Why Alibaba’s PolarDB Open‑Source Strategy Is a Game‑Changer for Cloud‑Native Databases

The October 25th PolarDB open‑source summit in Hangzhou gathered Alibaba Cloud executives, ecosystem partners and developers to discuss the daring decision to open‑source the flagship cloud‑native database, its compatibility and openness principles, real‑world case studies, and future trends shaping the next generation of distributed databases.

Alibaba CloudCloud NativeDistributed
0 likes · 20 min read
Why Alibaba’s PolarDB Open‑Source Strategy Is a Game‑Changer for Cloud‑Native Databases
ITPUB
ITPUB
Oct 7, 2022 · Databases

How to Efficiently Paginate Across Sharded Tables: Three Proven Methods

This article explains why sharding tables improves read/write speed, then compares three pagination strategies—global query, no‑skip pagination, and two‑phase query—detailing their SQL rewrites, execution steps, performance trade‑offs, and practical examples.

DistributedSQLpagination
0 likes · 10 min read
How to Efficiently Paginate Across Sharded Tables: Three Proven Methods
Wukong Talks Architecture
Wukong Talks Architecture
Sep 30, 2022 · Backend Development

Performance Optimization Techniques Illustrated with Naruto Analogies

This article presents ten performance‑optimization techniques—including indexing, compression, caching, prefetching, throttling, batch processing, resource squeezing, horizontal scaling, sharding, and lock‑free designs—explained through Naruto‑themed analogies and practical guidance for backend systems.

DistributedScalabilitycaching
0 likes · 37 min read
Performance Optimization Techniques Illustrated with Naruto Analogies
IT Architects Alliance
IT Architects Alliance
Sep 15, 2022 · Backend Development

Choosing the Right Java Scheduler: A Deep Dive into Timer, Spring, Quartz, and Distributed Solutions

This article examines common business scenarios that require timed execution, explains why scheduled tasks are essential, compares single‑node Java scheduling options with distributed frameworks like Quartz, Elastic‑Job, Saturn and XXL‑Job, and provides a detailed feature‑by‑feature analysis to help developers select the most suitable scheduler.

ComparisonDistributedElastic-Job
0 likes · 13 min read
Choosing the Right Java Scheduler: A Deep Dive into Timer, Spring, Quartz, and Distributed Solutions
DataFunSummit
DataFunSummit
Aug 28, 2022 · Databases

Practical Implementation of TimescaleDB and PostgreSQL at Hytera: Concepts, Deployment, and Performance

This article presents an in‑depth overview of time‑series data concepts and the practical adoption of TimescaleDB built on PostgreSQL at Hytera, covering requirements, core features, hypertable architecture, deployment models, compression, data retention, backup strategies, and performance benchmarks.

DistributedPostgreSQLTime-series
0 likes · 14 min read
Practical Implementation of TimescaleDB and PostgreSQL at Hytera: Concepts, Deployment, and Performance
Selected Java Interview Questions
Selected Java Interview Questions
Aug 10, 2022 · Backend Development

Comparison of Java Scheduling Frameworks: Timer, ScheduledExecutorService, Spring, Quartz, TBSchedule, Elastic-Job, Saturn, XXL-Job

The article examines common business scenarios that require timed execution, explains why scheduled tasks are needed, lists single‑machine and distributed Java scheduling frameworks, and provides a detailed feature‑by‑feature comparison between two popular distributed schedulers, X‑Job and Elastic‑Job.

DistributedElastic-JobQuartz
0 likes · 13 min read
Comparison of Java Scheduling Frameworks: Timer, ScheduledExecutorService, Spring, Quartz, TBSchedule, Elastic-Job, Saturn, XXL-Job
Top Architect
Top Architect
Jul 21, 2022 · Big Data

Kafka Components and Architecture Explained

This article provides a comprehensive overview of Kafka's core components—including brokers, topics, partitions, producers, and consumers—explaining their roles, relationships, replication strategies, and how they work together within a Kafka cluster to ensure reliable, scalable message streaming.

BrokerConsumerDistributed
0 likes · 8 min read
Kafka Components and Architecture Explained
IT Services Circle
IT Services Circle
Apr 6, 2022 · Backend Development

Getting Started with XXL‑Job: Installation, Configuration, and Developing Scheduled Tasks

This tutorial walks through the entire lifecycle of using the XXL‑Job distributed scheduling framework—including a brief comparison with ElasticJob, downloading and running the admin console, configuring the MySQL database, setting up a SpringBoot project, adding dependencies, writing Bean‑based and GLUE tasks, registering the executor, and finally creating and monitoring scheduled jobs via the web UI.

DistributedJavaSpringBoot
0 likes · 13 min read
Getting Started with XXL‑Job: Installation, Configuration, and Developing Scheduled Tasks
TAL Education Technology
TAL Education Technology
Nov 25, 2021 · Backend Development

Design and Implementation of a Code‑less Distributed Task Orchestration Platform for XES

This article presents a comprehensive design and implementation of a drag‑and‑drop, code‑less workflow orchestration system that abstracts business logic into DAG‑based state machines, detailing architecture, core data structures, Go code examples, and two practical use cases for arithmetic and data‑consumption scenarios.

BackendDistributedGolang
0 likes · 18 min read
Design and Implementation of a Code‑less Distributed Task Orchestration Platform for XES
Top Architect
Top Architect
Nov 24, 2021 · Cloud Computing

Design and Architecture of a Cloud Shopping Cart System

This article explains the functional purpose, layered and cluster designs, distributed architecture, caching strategies, asynchronous checks, storage heterogeneity, payment solutions, and anti‑bot mechanisms of a cloud‑based shopping cart, highlighting stability, high performance, elasticity, and fault‑tolerance.

BackendDistributedShopping Cart
0 likes · 5 min read
Design and Architecture of a Cloud Shopping Cart System
IT Architects Alliance
IT Architects Alliance
Aug 29, 2021 · Big Data

Kafka Storage Mechanism and Reliability Guarantees

This article explains Kafka's storage architecture—including topics, partitions, segments, and their naming rules—along with how data is read, and details the system's reliability features such as ISR/OSR replication, leader election, producer acknowledgment levels, and delivery guarantees.

At-Least-OnceDistributedSegment
0 likes · 10 min read
Kafka Storage Mechanism and Reliability Guarantees
JD Tech
JD Tech
May 22, 2021 · Cloud Native

Design and Implementation of a High‑Availability Jenkins Distributed Cluster with Kubernetes and LVS

This article presents a high‑availability Jenkins distributed architecture that leverages master‑slave deployment, label‑based node management, Kubernetes containerization, and LVS load‑balancing to address resource constraints, configuration complexity, and maintenance overhead in large‑scale CI pipelines.

Cloud NativeDevOpsDistributed
0 likes · 8 min read
Design and Implementation of a High‑Availability Jenkins Distributed Cluster with Kubernetes and LVS
macrozheng
macrozheng
May 20, 2021 · Backend Development

10 Powerful Java Scheduling Techniques for Every Scenario

This article walks through ten practical scheduling solutions—from Linux crontab and JDK utilities to Spring Task, Spring Quartz, and distributed frameworks like XXL‑Job and Elastic‑Job—explaining their usage, configuration, code examples, and pros and cons so developers can pick the right tool for any business need.

DistributedSchedulingcron
0 likes · 24 min read
10 Powerful Java Scheduling Techniques for Every Scenario
Top Architect
Top Architect
May 15, 2021 · Fundamentals

Overview of Software Architecture: Monolithic, Distributed, Microservices, and Serverless

This article introduces the concept of software architecture and compares four major styles—monolithic, distributed, microservices, and serverless—detailing their structures, advantages, disadvantages, and typical use cases, helping developers understand how architectural choices affect scalability, maintainability, and operational complexity.

DistributedScalabilityServerless
0 likes · 12 min read
Overview of Software Architecture: Monolithic, Distributed, Microservices, and Serverless
Su San Talks Tech
Su San Talks Tech
Apr 10, 2021 · Backend Development

Mastering Java Scheduling: 10 Essential Timers and Distributed Task Solutions

Explore ten practical Java scheduling options—from Linux crontab and JDK Thread/Timer to Spring Task, Quartz, and distributed frameworks like XXL‑Job, Elastic‑Job, Saturn and TBSchedule—detailing setup, code examples, advantages, drawbacks, and best‑fit scenarios for reliable task automation.

DistributedQuartzScheduling
0 likes · 22 min read
Mastering Java Scheduling: 10 Essential Timers and Distributed Task Solutions
Full-Stack Internet Architecture
Full-Stack Internet Architecture
Dec 13, 2020 · Backend Development

Essential Backend Development Concepts: Distributed Systems, Caching, Asynchronous Architecture, Load Balancing, Microservices, High Availability, Security, and Big Data

This article provides a comprehensive overview of core backend engineering topics—including distributed architecture, vertical and horizontal scaling, cache strategies, asynchronous messaging, load‑balancing techniques, microservice design, high‑availability patterns, security mechanisms, and big‑data processing frameworks—aimed at helping fresh graduates and junior developers build interview‑ready knowledge.

Distributedcachinghigh-availability
0 likes · 33 min read
Essential Backend Development Concepts: Distributed Systems, Caching, Asynchronous Architecture, Load Balancing, Microservices, High Availability, Security, and Big Data
Programmer DD
Programmer DD
Nov 26, 2020 · Databases

Unveiling Elasticsearch: Inside Nodes, Shards, and Lucene’s Inverted Index

This article explains Elasticsearch’s internal architecture, from cloud clusters and nodes to shards and Lucene’s inverted index, covering indexing, storage structures, query processing, caching, scaling, routing, and real‑world request handling, with detailed diagrams and examples.

DistributedSearchShards
0 likes · 13 min read
Unveiling Elasticsearch: Inside Nodes, Shards, and Lucene’s Inverted Index
System Architect Go
System Architect Go
Nov 17, 2020 · Big Data

Elasticsearch Distributed Search Mechanisms: query_then_fetch and dfs_query_then_fetch

Elasticsearch provides two search types—query_then_fetch (default) and dfs_query_then_fetch—each involving a multi-step process where the client node distributes queries to relevant shards, shards execute searches using local or global term frequencies, aggregate results, and retrieve full documents, with noted trade‑offs.

DistributedElasticsearchSearch
0 likes · 5 min read
Elasticsearch Distributed Search Mechanisms: query_then_fetch and dfs_query_then_fetch
Programmer DD
Programmer DD
Sep 25, 2020 · Backend Development

How to Eliminate Duplicate Order Numbers in High‑Concurrency Java Systems

This article analyzes a real‑world incident where duplicate order IDs appeared under high concurrency, critiques the original Java implementation, demonstrates a concurrency test that exposed the flaw, and presents a revised, thread‑safe solution using AtomicInteger, Java 8 date‑time APIs, and IP‑based suffixes to guarantee uniqueness across multiple instances.

DistributedJavaUnique ID
0 likes · 11 min read
How to Eliminate Duplicate Order Numbers in High‑Concurrency Java Systems
Top Architect
Top Architect
Jul 7, 2020 · Fundamentals

Overview of Four Major Software Architecture Styles: Monolithic, Distributed, Microservices, and Serverless

This article explains the basic concepts, advantages and disadvantages of four common software architecture patterns—monolithic, distributed, microservices, and serverless—helping developers understand their evolution, trade‑offs, and suitable scenarios for modern application design.

DistributedServerlessSoftware Architecture
0 likes · 12 min read
Overview of Four Major Software Architecture Styles: Monolithic, Distributed, Microservices, and Serverless
DevOps Cloud Academy
DevOps Cloud Academy
Jan 2, 2020 · Big Data

Introduction, Use Cases, Installation, and Basic Operations of Elasticsearch

This article introduces Elasticsearch as a distributed search and analytics engine, outlines its common application scenarios, provides step‑by‑step installation commands, explains core concepts such as documents and indices, and demonstrates basic indexing, retrieval, bulk processing, and aggregation operations.

DistributedElasticsearchLog Analytics
0 likes · 4 min read
Introduction, Use Cases, Installation, and Basic Operations of Elasticsearch
Full-Stack Internet Architecture
Full-Stack Internet Architecture
Oct 15, 2019 · Backend Development

Distributed Session Consistency and Sharing Solutions

The article explains the concept of distributed session consistency, outlines the role and lifecycle of HTTP sessions, describes the challenges of sharing sessions across server clusters, and evaluates several practical solutions including database, cookie, Memcache, and Redis based approaches.

DistributedSessionmemcache
0 likes · 5 min read
Distributed Session Consistency and Sharing Solutions
Java Captain
Java Captain
Dec 21, 2018 · Backend Development

How to Prepare for Java Backend Developer Interviews: Frameworks, Distributed Systems, and Performance Optimization

This article provides practical guidance for Java backend interview preparation, emphasizing solid Java fundamentals, hands‑on framework experience, distributed system knowledge, database performance tuning, core data‑structure and concurrency concepts, Linux log troubleshooting, and how to showcase real project achievements.

DistributedJavaLinux
0 likes · 13 min read
How to Prepare for Java Backend Developer Interviews: Frameworks, Distributed Systems, and Performance Optimization
转转QA
转转QA
Dec 14, 2018 · Frontend Development

Load Testing and Performance Analysis of the Online Quality Inspection Report Service

This report details the background, objectives, environment, test plan, distributed JMeter setup, server monitoring, results, and analysis of a load‑testing effort aimed at identifying performance bottlenecks and validating reliability of a front‑end Node.js quality‑inspection service under increasing concurrent traffic.

DistributedJMeterLoad Testing
0 likes · 8 min read
Load Testing and Performance Analysis of the Online Quality Inspection Report Service
Programmer DD
Programmer DD
Oct 14, 2018 · Backend Development

Building a Scalable Netty Push System for Millions of IoT Devices

This article explains how to design and implement a high‑performance, scalable push messaging platform using Netty, covering protocol design, registration/authentication, channel management, message routing, distributed deployment, load balancing, stateful connections, monitoring, and logging to support millions of IoT device connections.

DistributedIoTJava
0 likes · 15 min read
Building a Scalable Netty Push System for Millions of IoT Devices
ITPUB
ITPUB
Jan 16, 2018 · Databases

10 Groundbreaking Database Systems Launched in 2017

A 2017 roundup highlights ten innovative database releases—including a time‑series extension for PostgreSQL, a multi‑model Azure service, Google’s globally distributed Spanner, Amazon’s Neptune graph service, and several open‑source cloud‑native databases—detailing their key features, architectures, and intended use cases.

DistributedSQLTime Series
0 likes · 10 min read
10 Groundbreaking Database Systems Launched in 2017