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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.
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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.
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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.
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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.
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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.
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.