⚡ Optimize library update performance with parallel requests #34
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Refactored `refreshLibraryUpdates` in `LibraryRepository` to execute network requests concurrently using `async` and a `Semaphore` (limit 5). This replaces the previous sequential implementation, significantly reducing the total time required to check for updates across multiple novels. Performance improvement: - Sequential: O(N) where N is number of novels. Total time = Sum(request_time_i). - Parallel: O(N/K) where K is concurrency limit (5). Total time ~ Max(request_time_batch) * (N/K). - Measured ~5x speedup for 10 items with 100ms simulated latency (200ms vs 1000ms). Co-authored-by: Aatricks <[email protected]>
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Aatricks
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perf-library-updates-parallel-4624887405357361821
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Optimize
refreshLibraryUpdatesto use parallel execution with a concurrency limit.Changes:
app/src/main/java/io/aatricks/novelscraper/data/repository/LibraryRepository.kt:coroutineScope.groupedItems.map { async { ... } }.awaitAll()to parallelize processing.Semaphore(5)to limit concurrent network requests to 5.async,awaitAll,coroutineScope,Semaphore,withPermit).Verification:
LibraryRepositoryPerformanceTest) simulating 10 novels with 100ms latency each.LibraryRepositoryTest) passed to ensure no regressions.PR created automatically by Jules for task 4624887405357361821 started by @Aatricks