Tagged articles

20 articles

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Nov 10, 2025 · Backend Development

Mastering Request Merging: Hystrix Collapser, BatchCollapser & ConcurrentHashMultiset Explained

This article explores how merging similar requests upstream can dramatically reduce downstream load, detailing Hystrix Collapser usage and configuration, a custom BatchCollapser implementation with time‑ and count‑based triggers, and the thread‑safe ConcurrentHashMultiset for high‑duplicate statistical scenarios.

BatchCollapserConcurrentHashMultisetHystrix

0 likes · 13 min read

Mastering Request Merging: Hystrix Collapser, BatchCollapser & ConcurrentHashMultiset Explained

Su San Talks Tech

Sep 26, 2025 · Backend Development

Mastering Request Merging: Hystrix Collapser, BatchCollapser & ConcurrentHashMultiset

By merging similar or duplicate requests upstream before sending them downstream, you can dramatically reduce downstream load and boost overall throughput; this article compares Hystrix Collapser, a custom BatchCollapser, and Guava's ConcurrentHashMultiset, detailing their implementations, configurations, and ideal use cases.

BackendBatchCollapserConcurrentHashMultiset

0 likes · 15 min read

Mastering Request Merging: Hystrix Collapser, BatchCollapser & ConcurrentHashMultiset

Architect

Apr 9, 2025 · Backend Development

Merging Requests and Batch Querying in Spring Boot to Reduce Database Connections

This article explains how to merge concurrent user requests into a single batch SQL query using Java's LinkedBlockingQueue, ScheduledThreadPoolExecutor and CompletableFuture in a Spring Boot application, thereby saving database connections and improving performance under high concurrency.

Batch ProcessingDatabase OptimizationSpring Boot

0 likes · 13 min read

Merging Requests and Batch Querying in Spring Boot to Reduce Database Connections

Java Captain

Mar 21, 2025 · Backend Development

Request Merging and Batch Processing in Java Spring Boot to Reduce Database Connections

This article explains how to merge multiple user‑detail requests into a single database query using a blocking queue, scheduled thread pool, and CompletableFuture in Spring Boot, providing code examples, a high‑concurrency test, and discussion of trade‑offs such as added latency and timeout handling.

Batch ProcessingCompletableFutureJava

0 likes · 13 min read

Request Merging and Batch Processing in Java Spring Boot to Reduce Database Connections

Java Backend Technology

Mar 8, 2025 · Backend Development

How to Merge Concurrent Requests in Spring Boot and Save Database Connections

This article explains how to batch multiple user‑info requests on the server side, merge them into a single SQL query using a blocking queue and ScheduledThreadPoolExecutor, and return the results individually, thereby reducing database connection usage and improving performance under high concurrency.

Batch ProcessingCompletableFutureJava concurrency

0 likes · 13 min read

How to Merge Concurrent Requests in Spring Boot and Save Database Connections

macrozheng

Mar 5, 2025 · Backend Development

How to Merge Concurrent Requests in Spring Boot to Save Database Connections

This article explains how to combine multiple simultaneous user requests on the server side using a queue, scheduled thread pool and CompletableFuture in Spring Boot, reducing database connections while handling high concurrency, and discusses implementation details, testing, and potential pitfalls.

Batch ProcessingSpring Bootconcurrency

0 likes · 15 min read

How to Merge Concurrent Requests in Spring Boot to Save Database Connections

Go Programming World

Nov 25, 2024 · Backend Development

Understanding Go's singleflight: Request Merging, Implementation and Use Cases

singleflight, a Go concurrency primitive from the x/sync package, merges duplicate in‑flight requests to reduce server load, with detailed usage examples, source code analysis, and discussion of its differences from sync.Once and typical application scenarios such as cache‑penetration, remote calls, and task deduplication.

CacheGoSingleflight

0 likes · 26 min read

Understanding Go's singleflight: Request Merging, Implementation and Use Cases

Goodme Frontend Team

Aug 26, 2024 · Frontend Development

How to Merge Similar Requests and Manage Concurrency in Frontend Apps

This article explains how to combine duplicate API calls, ensure only the latest request result is displayed, and control concurrent request limits in JavaScript/React applications, providing practical code examples and execution flow analysis.

JavaScriptfrontendrequest merging

0 likes · 14 min read

How to Merge Similar Requests and Manage Concurrency in Frontend Apps

Java Architect Essentials

Nov 12, 2023 · Backend Development

Request Merging in Java: Concept, Pros & Cons, and Implementation with ScheduledExecutorService

This article explains the concept of request merging for high‑concurrency web services, outlines its advantages and drawbacks, and provides a complete Java implementation using ScheduledExecutorService, a memory queue, and a generic BatchCollapser utility with usage examples.

BackendJavaPerformance Optimization

0 likes · 8 min read

Request Merging in Java: Concept, Pros & Cons, and Implementation with ScheduledExecutorService

Architecture Digest

Oct 24, 2023 · Backend Development

Request Merging and Batch Processing in Spring Boot to Reduce Database Connections

This article explains how to merge multiple user requests on the server side, batch them into a single SQL query using a blocking queue and CompletableFuture, and handle high‑concurrency scenarios with scheduled tasks and timeout‑aware queues to save database connection resources.

Batch ProcessingJavaQueue

0 likes · 13 min read

Request Merging and Batch Processing in Spring Boot to Reduce Database Connections

Java Backend Technology

Oct 9, 2023 · Backend Development

How to Merge Requests in Spring Boot to Reduce DB Load and Boost Performance

This article explains how to combine multiple user queries into a single database request using a queue, ScheduledThreadPoolExecutor, and CompletableFuture in Spring Boot, demonstrating code implementations, handling Java 8 CompletableFuture timeout limitations, and showing performance gains through request merging under high concurrency.

Batch ProcessingJavaSpring Boot

0 likes · 15 min read

How to Merge Requests in Spring Boot to Reduce DB Load and Boost Performance

Top Architect

Oct 8, 2023 · Backend Development

Merging Backend Requests in SpringBoot to Reduce Database Connections

This article explains how to merge multiple backend requests in a SpringBoot application using a blocking queue, ScheduledThreadPoolExecutor, and CompletableFuture to batch database queries, reduce connection overhead, handle high concurrency, and includes full Java code examples and performance testing.

Batch ProcessingJava concurrencySpringBoot

0 likes · 15 min read

Merging Backend Requests in SpringBoot to Reduce Database Connections

Java Architect Essentials

Oct 3, 2023 · Backend Development

Implementing Request Merging with ScheduledExecutorService in Java

This article explains the concept, advantages, and drawbacks of request merging, and provides a complete Java implementation using ScheduledExecutorService, a memory queue, and generic batch handling interfaces, along with usage examples and sample code.

BackendJavaconcurrency

0 likes · 8 min read

Implementing Request Merging with ScheduledExecutorService in Java

Architect

Oct 1, 2023 · Backend Development

Batch Request Merging in Spring Boot to Reduce Database Connections

This article demonstrates how to merge multiple user‑info requests on the server side using a blocking queue, ScheduledThreadPoolExecutor, and CompletableFuture in Spring Boot, thereby consolidating SQL queries into a single batch call to save database connection resources while handling high concurrency.

Batch ProcessingCompletableFutureJava concurrency

0 likes · 13 min read

Batch Request Merging in Spring Boot to Reduce Database Connections

Code Ape Tech Column

Sep 16, 2023 · Backend Development

Batch Request Merging in Java to Reduce Database Connections

This article explains how to merge multiple user‑detail requests on the server side using a blocking queue, scheduled thread pool and CompletableFuture in Spring Boot, thereby converting many individual SQL calls into a single batch query, saving database connections and improving high‑concurrency performance.

Batch ProcessingCompletableFutureDatabase Optimization

0 likes · 13 min read

Batch Request Merging in Java to Reduce Database Connections

Code Ape Tech Column

Dec 29, 2022 · Backend Development

Batch Request Merging in Spring Boot to Reduce Database Connection Overhead

The article explains how to merge multiple user queries into a single batch request using a queue, scheduled thread pool and CompletableFuture in Spring Boot, thereby reducing database connections and improving resource utilization while handling high‑concurrency scenarios.

Batch ProcessingCompletableFutureJava

0 likes · 13 min read

Batch Request Merging in Spring Boot to Reduce Database Connection Overhead

21CTO

Jun 18, 2021 · Frontend Development

Do HTTP/2’s Multiplexing Still Need Image Sprites? Experimental Insights

This article presents a series of experiments comparing HTTP/1.1 and HTTP/2 request merging versus splitting, analyzing how concurrency, multiplexing, and header compression affect page load times for small images, large assets, and JavaScript under various network conditions.

HTTP/2Network ProtocolsWeb Performance

0 likes · 15 min read

Do HTTP/2’s Multiplexing Still Need Image Sprites? Experimental Insights

ITFLY8 Architecture Home

Mar 9, 2019 · Backend Development

Boost High-Concurrency Performance with Request Merging in Java

By introducing request merging and batch APIs, this article demonstrates how to improve high‑concurrency performance in Java backend services, detailing the design, data structures, scheduled execution, and code implementation while discussing trade‑offs and practical considerations.

Java concurrencybatch APIhigh concurrency

0 likes · 8 min read

Boost High-Concurrency Performance with Request Merging in Java

21CTO

May 8, 2017 · Backend Development

How Facebook Live Scales to Millions: Inside Its Backend Architecture

This article explains how Facebook Live handles millions of concurrent streams and viewers by using a multi‑layer edge cache system, request merging, and load balancing to achieve high‑availability, low‑latency video delivery at massive scale.

Facebook Liveedge cacheload balancing

0 likes · 7 min read

How Facebook Live Scales to Millions: Inside Its Backend Architecture

Java High-Performance Architecture

May 7, 2017 · Operations

Scaling Facebook Live: Edge Cache Architecture & Request Merging

Facebook Live must support millions of concurrent streams and viewers, so its architecture uses a multi‑layer edge‑cache system, request merging, and load balancing to filter traffic, reduce streaming server load, and prevent request leakage, ensuring high performance during traffic spikes.

edge cachelive streamingload balancing

0 likes · 7 min read