Use threadpool #22
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Use threadpool #22
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Previously datatools-server kicked off an endless set of threads when asked to, e.g., fetch updated feeds for an entire project. This work defines a lightweight and heavyweight ThreadPoolExecutor to handle light and CPU-intensive tasks, respectively. Jobs are queued in the order they are requested, so any massive set of jobs should still be performed off-peak to limit any impact on light user activity.
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Prevent multiple threads from being started during heavy and light job execution.