Tagged articles

Queue

120 articles · Page 2 of 2

Jan 20, 2019 · Backend Development

Concurrent Queue Selection and High-Concurrency Design for Flash Sale Systems

This article explains Java's three main concurrent queue implementations, advises using ConcurrentLinkedQueue for high-throughput request preprocessing, discusses proper design of flash-sale APIs, examines data-safety challenges such as overselling, and compares pessimistic, FIFO, and optimistic lock strategies to ensure correctness under extreme load.

Backend DevelopmentJavaQueue

0 likes · 7 min read

Concurrent Queue Selection and High-Concurrency Design for Flash Sale Systems

Java Captain

Jan 5, 2019 · Fundamentals

Implementing Stack, Queue, and Priority Queue in Java

This article explains the core concepts of stacks, queues, and priority queues, discusses their time complexities, and provides complete Java implementations using arrays, including methods for insertion, removal, peeking, and display, along with a circular array queue example.

JavaQueuepriority-queue

0 likes · 8 min read

Implementing Stack, Queue, and Priority Queue in Java

Java Captain

Dec 31, 2018 · Fundamentals

Common Java Data Structures and Their Core Operations

This article systematically explains the most frequently used Java data structures—including LinkedList, ArrayList, Stack, Queue, HashMap, and LinkedHashMap—detailing their internal implementations, typical operations, performance characteristics, and providing illustrative code snippets and animations.

ArrayListHashMapJava

0 likes · 8 min read

Common Java Data Structures and Their Core Operations

MaGe Linux Operations

Dec 3, 2018 · Fundamentals

Master Python Threading: Processes, GIL, and Concurrency Essentials

This article explains the differences between processes and threads, the role of Python's Global Interpreter Lock, how to create and manage threads with the thread and threading modules, and how to use synchronization primitives and the Queue module for producer‑consumer patterns.

GILQueuelock

0 likes · 19 min read

Master Python Threading: Processes, GIL, and Concurrency Essentials

Beike Product & Technology

Aug 24, 2018 · Mobile Development

How to Accurately Track Card Exposure in Android RecyclerView

This article explains the shortcomings of hard‑coded exposure tracking in the Beike Zhaofang Android app, benchmarks industry practices, proposes a flexible API‑driven strategy, and provides a complete RecyclerView scroll‑listener implementation with a double‑ended queue to record precise card visibility durations.

APIAndroidExposure Tracking

0 likes · 7 min read

How to Accurately Track Card Exposure in Android RecyclerView

Java Captain

Jul 18, 2018 · Fundamentals

Understanding Java Collections: LinkedList, ArrayList, Stack, Queue, HashMap, and LinkedHashMap with Animations and Code Examples

This article systematically explains common Java collection classes—including LinkedList, ArrayList, Stack, Queue, HashMap, and LinkedHashMap—highlighting their internal structures, key operations, performance characteristics, and JDK 8 differences, and it provides animated illustrations and full code snippets for each concept.

ArrayListCollectionsData Structures

0 likes · 9 min read

Understanding Java Collections: LinkedList, ArrayList, Stack, Queue, HashMap, and LinkedHashMap with Animations and Code Examples

MaGe Linux Operations

Apr 15, 2018 · Fundamentals

Master Python Threading: From Basics to Advanced Synchronization

This article explains Python threading fundamentals, including thread context, kernel vs. user threads, the low‑level _thread module and the high‑level threading module, functional and class‑based thread creation, synchronization with locks, and using Queue for thread‑safe communication, all illustrated with complete code examples.

PythonQueueSynchronization

0 likes · 13 min read

Master Python Threading: From Basics to Advanced Synchronization

Java High-Performance Architecture

Feb 12, 2018 · Databases

5 Practical Redis Use Cases You Shouldn't Miss

Redis, a powerful in‑memory data store, offers versatile capabilities beyond simple key‑value storage, and this article explores five common real‑world scenarios—full‑page caching, leaderboards, session storage, queues, and pub/sub—demonstrating how to leverage its rich data structures for faster, more reliable applications.

CachingLeaderboardPubSub

0 likes · 4 min read

5 Practical Redis Use Cases You Shouldn't Miss

dbaplus Community

Jan 17, 2018 · Big Data

Mastering Hadoop YARN: CPU & Memory Management Strategies for Large‑Scale Clusters

This article explores Hadoop YARN’s evolution, multi‑tenant design, queue and node‑label scheduling, real‑world resource allocation challenges, and data‑driven tools that automate diagnostics and visualizations to optimize CPU and memory usage across massive clusters.

CPUHadoopNode Labels

0 likes · 16 min read

Mastering Hadoop YARN: CPU & Memory Management Strategies for Large‑Scale Clusters

MaGe Linux Operations

Sep 12, 2017 · Backend Development

Boost Stock Data Download Speed with Python Threading & Queue

This tutorial shows how to combine Python's threading and Queue modules to build a producer‑consumer multithreaded downloader for Tushare stock data, dramatically reducing download time from hours to under one hour.

Producer ConsumerPythonQueue

0 likes · 4 min read

Boost Stock Data Download Speed with Python Threading & Queue

Architecture Digest

Sep 8, 2017 · Backend Development

Optimizing a High‑Concurrency Lottery System: Caching, Queueing, Optimistic Locking, and Read/Write Splitting

The article analyzes a lottery‑service bottleneck caused by massive concurrent database reads and writes and presents a comprehensive set of backend optimization techniques—including caching, queue‑based peak‑shaving, optimistic locking, asynchronous processing, read‑write splitting, and semaphore‑based rate limiting—to improve throughput and stability under high load.

CachingPerformanceQueue

0 likes · 9 min read

Optimizing a High‑Concurrency Lottery System: Caching, Queueing, Optimistic Locking, and Read/Write Splitting

Architecture Digest

Jul 9, 2017 · Fundamentals

Overview of the Java Collections Framework and Its Core Interfaces

This article provides a comprehensive overview of Java's Collections Framework, explaining the purpose and hierarchy of core interfaces such as Collection, Iterable, Iterator, List, Set, Queue, and Map, along with their key methods and typical implementations.

CollectionsIteratorList

0 likes · 28 min read

Overview of the Java Collections Framework and Its Core Interfaces

Architecture Digest

Mar 12, 2017 · Backend Development

Design and Technical Challenges of High‑Concurrency Flash Sale (Seckill) Systems

This article analyzes the business model of flash‑sale (seckill) operations, enumerates the technical challenges such as impact on existing services, high‑concurrency load, bandwidth, order‑URL security, and proposes architectural principles, layered designs, queue choices, database sharding, scaling, overload protection, anti‑cheat measures, and data‑safety techniques to build a robust backend system.

CachingHigh concurrencyQueue

0 likes · 31 min read

Design and Technical Challenges of High‑Concurrency Flash Sale (Seckill) Systems

Meituan Technology Team

Nov 18, 2016 · Backend Development

Understanding the Disruptor: High‑Performance Java Queue and Its Implementation

The Disruptor library provides a lock‑free, CAS‑driven ring‑buffer queue that eliminates lock contention and false sharing, delivering 4–7× higher throughput and nanosecond‑level latency compared to Java’s built‑in queues, and is employed by systems such as Log4j 2, Apache Storm, and Meituan‑Dianping.

DisruptorJavaPerformance

0 likes · 21 min read

Understanding the Disruptor: High‑Performance Java Queue and Its Implementation

21CTO

Mar 23, 2016 · Fundamentals

Master PHP Data Structures: Stack, Queue, and Min-Heap with SPL

This article explains the concept of heaps, especially min‑heaps, and demonstrates how PHP's SPL provides ready‑made implementations for stacks, queues, min‑heaps, and fixed‑size arrays with clear code examples.

Data StructuresPHPQueue

0 likes · 3 min read

Master PHP Data Structures: Stack, Queue, and Min-Heap with SPL

Java High-Performance Architecture

Dec 24, 2015 · Backend Development

How to Implement Priority Queues in Redis: Simple Methods Explained

This article explains three ways to add priority handling to Redis queues—using a single list with head insertion, employing separate high‑ and normal‑priority lists with BRPOP, and leveraging score keys with sorting—detailing their advantages, drawbacks, and practical Redis command examples.

Data StructuresQueueRedis

0 likes · 4 min read

How to Implement Priority Queues in Redis: Simple Methods Explained

MaGe Linux Operations

Aug 31, 2015 · Fundamentals

Master Python Multiprocessing: Processes, Locks, Queues, and More

This article explains how to use Python's multiprocessing module to achieve true parallelism, covering Process creation, inter‑process synchronization primitives such as Lock, Semaphore, Event, communication tools like Queue and Pipe, and advanced patterns with Pool, all illustrated with runnable code examples.

MultiprocessingPoolQueue

0 likes · 17 min read

Master Python Multiprocessing: Processes, Locks, Queues, and More

Architect

Jul 30, 2015 · Backend Development

Redis‑Backed Timeline Implementation with MongoDB for a Subscription Feed

This article explains how to implement a scalable timeline for a subscription feed by combining MongoDB storage with a Redis list cache, detailing the data model, query challenges, Redis operations for pushing and trimming statuses, rebuilding strategies, and handling data integrity trade‑offs.

CacheMongoDBQueue

0 likes · 7 min read

Redis‑Backed Timeline Implementation with MongoDB for a Subscription Feed

Art of Distributed System Architecture Design

May 10, 2015 · Cloud Computing

Designing Scalable and Highly Available Systems on Azure: Patterns, Anti‑Patterns, and Practical Guidance

This article examines key considerations for building highly scalable and available systems on Azure, outlining four architectural dimensions—scalability, availability, manageability, and feasibility—while discussing patterns, anti‑patterns, measurable resources, queue‑based load balancing, authentication services, and common pitfalls such as configuration errors and SQL injection.

AzureCloud ComputingQueue

0 likes · 8 min read

Designing Scalable and Highly Available Systems on Azure: Patterns, Anti‑Patterns, and Practical Guidance

Alibaba Cloud Infrastructure

Apr 30, 2015 · Operations

Understanding and Tuning Linux TCP Queue and Buffer Parameters

This article explains the Linux TCP connection‑establishment, packet‑receive, and packet‑send paths, categorizes related kernel parameters such as backlog, SYN‑cookie, ring buffers, and socket buffers, and provides practical commands and guidelines for optimizing network performance on servers.

BufferLinuxNetwork Performance

0 likes · 13 min read

Understanding and Tuning Linux TCP Queue and Buffer Parameters