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This article explains how to design and implement a fixed-size FIFO export queue in a Java backend using Spring components and EasyExcel, covering business requirements, class definitions, code examples, testing results, and considerations for further enhancements such as Redis queues and high‑concurrency scenarios.
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This article details the author's comprehensive refactor of the WorkQueue Go library, covering the redesign of its sorting heap using a red‑black tree, interface improvements, enhanced data structures, extensive performance benchmarks, and a step‑by‑step usage guide for developers.
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This article explains how to design and implement a fixed-size FIFO export queue in Java to manage large‑scale MySQL data exports, detailing the ExportQueue class, abstract export logic with EasyExcel, a concrete ExportImpl service, and a test controller, while discussing performance considerations and future enhancements.
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To prevent performance degradation during large MySQL data exports, this article presents a Java Spring implementation of a bounded FIFO export queue, detailing the ExportQueue class, abstract export handling with EasyExcel, concrete service and controller code, and test results demonstrating queue limits and concurrency considerations.
This article introduces the RateLimiting Queue module of the Go WorkQueue project, explains why it builds on the Delaying Queue, details its design, interfaces, and usage examples, and provides code snippets for creating and operating a rate‑limited queue in backend systems.
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This article explains the design, implementation details, and practical usage of the Delaying Queue and Priority Queue modules in the WorkQueue library, covering their inheritance from the core Queue, the role of the Quadruple Heap data structure, and providing Go code examples for integration in backend systems.
This article explains the design, implementation, and usage of the Queue and Simple Queue modules in the Go-based WorkQueue project, covering their underlying data structures, interfaces, callback mechanisms, and practical code examples for both unique and duplicate data handling.