Guava | BestHub

Selected Java Interview Questions

Apr 27, 2025 · Backend Development

Comprehensive Guide to Rate Limiting in Microservice Architecture Using Dubbo, Spring Cloud, Guava, Sentinel, Redis, and a Custom Spring Boot Starter

This article explains why rate limiting is critical for microservice stability, compares implementations across Dubbo, Spring Cloud, and gateway layers, details common algorithms such as token bucket, leaky bucket, and sliding window, and provides step‑by‑step code examples for Guava, Sentinel, Redis‑Lua, and a reusable Spring Boot starter to enforce rate limits in Java back‑end services.

GuavaMicroservicesRedis

0 likes · 25 min read

Comprehensive Guide to Rate Limiting in Microservice Architecture Using Dubbo, Spring Cloud, Guava, Sentinel, Redis, and a Custom Spring Boot Starter

Java Captain

Apr 23, 2025 · Backend Development

Design and Selection of Local In‑Memory Caches for High‑Performance Service Architecture

This article explains the role of local in‑memory caches in high‑performance service architectures, compares implementations such as ConcurrentHashMap, Guava Cache, Caffeine, and Ehcache, discusses cache consistency and hit‑rate challenges, and recommends Caffeine as the preferred solution for multi‑level caching with Redis or Memcached.

CachingEhcacheGuava

0 likes · 11 min read

Design and Selection of Local In‑Memory Caches for High‑Performance Service Architecture

Selected Java Interview Questions

Apr 16, 2025 · Backend Development

Design and Selection of Local In-Memory Cache Solutions for High-Performance Services

An overview of two‑level caching architecture, the motivations for using local in‑memory caches, essential features of a local cache, comparative analysis of implementations using ConcurrentHashMap, Guava Cache, Caffeine, and Ehcache, and strategies for consistency, hit‑rate improvement, and practical code examples.

CachingEhcacheGuava

0 likes · 11 min read

Design and Selection of Local In-Memory Cache Solutions for High-Performance Services

macrozheng

Oct 28, 2024 · Backend Development

Unlock Java Efficiency: Master Guava’s Most Powerful Features

This article introduces the essential Guava utilities for Java developers, covering data validation, immutable collections, collection factories, multiset and multimap handling, advanced string operations, and simple caching, all with clear code examples to make your code more elegant and robust.

CachingGuavaJava

0 likes · 18 min read

Unlock Java Efficiency: Master Guava’s Most Powerful Features

Architect's Guide

Aug 25, 2024 · Backend Development

Eight Ways to Implement Asynchronous Execution in Java

This article introduces eight common Java asynchronous implementation techniques—including raw threads, Future, CompletableFuture, Spring @Async, ApplicationEvent, message queues, third‑party utilities like Hutool ThreadUtil and Guava ListenableFuture—explaining their usage, code examples, advantages, and drawbacks for improving performance in scenarios such as sending SMS or emails.

CompletableFutureFutureGuava

0 likes · 14 min read

Eight Ways to Implement Asynchronous Execution in Java

Sohu Tech Products

Apr 10, 2024 · Big Data

Bloom Filter: Principles, False Positive Rate, and Implementations with Guava and Redis

Bloom filters are space‑efficient probabilistic structures that answer “definitely not” or “maybe” membership queries, with a controllable false‑positive rate derived from bit array size, element count, and hash functions, and can be implemented via Guava’s Java library, Redisson’s Redis wrapper, native Redis modules, or custom bitmap code, dramatically reducing memory usage and latency in large‑scale systems such as URL deduplication or user‑product checks.

Big DataBloom FilterFalse Positive Rate

0 likes · 21 min read

Bloom Filter: Principles, False Positive Rate, and Implementations with Guava and Redis

Zhuanzhuan Tech

Mar 22, 2024 · Backend Development

Comprehensive Guide to Bloom Filters: Principles, Implementations, and Business Applications

This article introduces Bloom filters, explains their probabilistic principles, advantages and drawbacks, details how to add and query elements, derives false‑positive formulas, provides Guava, Redisson, Redis‑module, and custom bitmap implementations with code samples, and showcases real‑world business scenarios and performance benefits.

Big DataBloom FilterGuava

0 likes · 28 min read

Comprehensive Guide to Bloom Filters: Principles, Implementations, and Business Applications

Code Ape Tech Column

Mar 22, 2024 · Backend Development

Comparison of Java Local Caching Solutions: Guava, Caffeine, and Ehcache

This article reviews three popular Java in‑process caching libraries—Guava, Caffeine, and Ehcache—explaining their configuration options, performance characteristics, monitoring capabilities, advantages and disadvantages, and provides a side‑by‑side comparison to help developers choose the most suitable local cache for their applications.

CachingEhcacheGuava

0 likes · 10 min read

Comparison of Java Local Caching Solutions: Guava, Caffeine, and Ehcache

Java Tech Enthusiast

Feb 1, 2024 · Fundamentals

Understanding Bloom Filters: Theory, Implementation, and Applications

Bloom filters are space‑efficient probabilistic structures that test set membership using multiple hash functions, offering fast, low‑memory checks with a controllable false‑positive rate, and can be implemented manually in Java, via Guava’s library, or deployed at scale with RedisBloom for distributed applications.

Bloom FilterData StructureGuava

0 likes · 14 min read

Understanding Bloom Filters: Theory, Implementation, and Applications

High Availability Architecture

Jan 17, 2024 · Backend Development

Rate Limiting Algorithms: Fixed Window, Sliding Window, Leaky Bucket, and Token Bucket – Principles, Java Implementations, Pros & Cons

This article explains why rate limiting is essential for high‑concurrency systems, defines rate limiting, introduces four common algorithms (fixed‑window, sliding‑window, leaky‑bucket, token‑bucket), provides Java code examples for each, compares their advantages and disadvantages, and shows practical usage with Guava's RateLimiter and AOP annotations.

AOPDistributed SystemsGuava

0 likes · 17 min read

Rate Limiting Algorithms: Fixed Window, Sliding Window, Leaky Bucket, and Token Bucket – Principles, Java Implementations, Pros & Cons

Code Ape Tech Column

Jan 5, 2024 · Backend Development

Guava Cache Asynchronous Refresh Techniques for Improving System Performance

This article explains how to configure Guava Cache with expiration and refresh policies, analyzes its thread model under high concurrency, and presents two implementation approaches for asynchronous refresh combined with multi‑level caching to achieve low latency and reduced GC overhead.

Async RefreshCacheGuava

0 likes · 6 min read

Guava Cache Asynchronous Refresh Techniques for Improving System Performance

Amap Tech

Dec 28, 2023 · Backend Development

Rate Limiting Algorithms and Their Java Implementations

Rate limiting protects system stability by capping request rates, and this article explains five Java algorithms—Fixed Window, Sliding Window, Leaky Bucket, Token Bucket, and Guava's RateLimiter—showing their principles, pros and cons, and providing sample implementations and a Spring @Limit annotation for practical enforcement.

Distributed SystemsGuavaJava

0 likes · 17 min read

Rate Limiting Algorithms and Their Java Implementations

Code Ape Tech Column

Dec 13, 2023 · Backend Development

Log Masking with Guava: Solving Map Deep‑Clone Issues Using transformEntries

This article explains how to mask sensitive fields in Java logs, demonstrates the pitfalls of shallow‑copying nested Maps during masking, and shows a robust solution using Guava's Maps.transformEntries to perform lazy, view‑based deep transformation without mutating the original data structures.

GuavaJavaLog Masking

0 likes · 21 min read

Log Masking with Guava: Solving Map Deep‑Clone Issues Using transformEntries

Cognitive Technology Team

Nov 12, 2023 · Fundamentals

Topological Sorting of Directed Acyclic Graphs with Java Implementation Using Guava

This article explains the definition and properties of directed acyclic graphs (DAG), describes the basic topological sorting algorithm steps, and provides a complete Java implementation using Guava's MutableGraph class, illustrating the process with an example and its execution result.

DAGGuavaJava

0 likes · 4 min read

Topological Sorting of Directed Acyclic Graphs with Java Implementation Using Guava

Spring Full-Stack Practical Cases

Oct 2, 2023 · Backend Development

Mastering Rate Limiting in Spring Boot: Token Bucket, Leaky Bucket, and Counter Techniques

An in‑depth guide explains three rate‑limiting algorithms—counter, leaky bucket, and token bucket—demonstrates their implementation in Spring Boot using Guava’s RateLimiter and Baidu’s ratelimiter‑spring‑boot‑starter, provides full Maven dependencies, configuration snippets, and Java code examples, and shows testing results.

GuavaSpring Bootbackend development

0 likes · 8 min read

Mastering Rate Limiting in Spring Boot: Token Bucket, Leaky Bucket, and Counter Techniques

Spring Full-Stack Practical Cases

Aug 21, 2023 · Backend Development

Mastering API Rate Limiting in Spring Boot 3: Guava, Gateway, and Redis

This guide explains why API rate limiting is essential, outlines common algorithms, and walks through three practical implementations in Spring Boot 3—using Guava, Spring Cloud Gateway with RedisRateLimiter, and a custom annotation‑based solution with Redis backing.

API Rate LimitingGuavaJava

0 likes · 7 min read

Mastering API Rate Limiting in Spring Boot 3: Guava, Gateway, and Redis

Architecture Digest

Aug 16, 2023 · Backend Development

Implementing Retry Mechanisms in Java: Manual Loops, Static Proxy, JDK Dynamic Proxy, CGLib, AOP, Spring Retry and Guava‑Retry

This article explains why retry mechanisms are essential for remote service calls, compares several implementation approaches—including manual loops, static and dynamic proxies, AOP, Spring Retry annotations, and Guava‑Retry—provides complete Java code examples, and discusses the advantages and drawbacks of each method.

AOPCglibGuava

0 likes · 15 min read

Implementing Retry Mechanisms in Java: Manual Loops, Static Proxy, JDK Dynamic Proxy, CGLib, AOP, Spring Retry and Guava‑Retry

JD Retail Technology

Aug 14, 2023 · Backend Development

In‑Depth Analysis of Guava RateLimiter: Token‑Bucket Algorithm, Code Structure, and Usage

This article explains why rate limiting is essential in high‑concurrency and transaction‑processing systems, introduces Google Guava's RateLimiter as a token‑bucket implementation, walks through its source code—including class hierarchy, core algorithms, and usage examples—and discusses practical considerations and extensibility.

ConcurrencyGuavaJava

0 likes · 19 min read

In‑Depth Analysis of Guava RateLimiter: Token‑Bucket Algorithm, Code Structure, and Usage

Code Ape Tech Column

Aug 5, 2023 · Backend Development

Implementing Retry Mechanisms in Java: Manual Loops, Static Proxy, JDK Dynamic Proxy, CGLib Proxy, AOP, Spring Retry and Guava Retry

This article explains why retry mechanisms are essential for remote service calls in Java applications and demonstrates six practical implementations—from simple while‑loop retries to static proxies, JDK and CGLib dynamic proxies, custom AOP, Spring Retry annotations, and the Guava‑retry library—complete with code examples and usage tips.

AOPGuavaJava

0 likes · 16 min read

Implementing Retry Mechanisms in Java: Manual Loops, Static Proxy, JDK Dynamic Proxy, CGLib Proxy, AOP, Spring Retry and Guava Retry

JD Tech

Jul 21, 2023 · Backend Development

In‑Depth Analysis of Guava RateLimiter: Architecture, Algorithms, and Usage

This article provides a comprehensive walkthrough of Google Guava's RateLimiter, covering its practical rate‑limiting scenarios, underlying token‑bucket algorithm, detailed source‑code structure, core classes such as RateLimiter, SmoothRateLimiter, SmoothBursty and SmoothWarmingUp, usage examples, and considerations for extending or adapting the component in distributed systems.

ConcurrencyGuavaJava

0 likes · 21 min read

In‑Depth Analysis of Guava RateLimiter: Architecture, Algorithms, and Usage