queue-runner: limit parallelism of CPU intensive operations
My current theory is that running more parallel xz than available CPU cores is reducing our overall throughput by requiring more scheduling overhead and more cache thrashing.
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@@ -85,6 +85,7 @@ State::State(std::optional<std::string> metricsAddrOpt)
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: config(std::make_unique<HydraConfig>())
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, maxUnsupportedTime(config->getIntOption("max_unsupported_time", 0))
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, dbPool(config->getIntOption("max_db_connections", 128))
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, localWorkThrottler(config->getIntOption("max_local_worker_threads", std::min(maxSupportedLocalWorkers, std::max(4u, std::thread::hardware_concurrency()) - 2)))
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, maxOutputSize(config->getIntOption("max_output_size", 2ULL << 30))
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, maxLogSize(config->getIntOption("max_log_size", 64ULL << 20))
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, uploadLogsToBinaryCache(config->getBoolOption("upload_logs_to_binary_cache", false))
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