Unresolved Thread Pool Configuration in Ren'Py’s renpy.fetch
0 reputation · 10 Oct 2022, 20:05 UTC
0 reputation · 10 Oct 2022, 20:05 UTC
Ren'Py’s renpy.fetch API launches a new Python thread for each asset download, queuing requests before dispatching them to the operating system. The implementation relies on a single, internally defined thread pool whose size is hard‑coded and not exposed to the game developer.
Because Python’s Global Interpreter Lock serializes bytecode execution, CPU‑bound operations such as decompressing downloaded files are processed one at a time. When many fetches are issued concurrently, this can introduce measurable latency that is not mitigated by network bandwidth alone.
There is no documented policy or public API to adjust the pool size or to transition from the fixed pool to a dynamic model that grows with demand. Consequently, the trade‑off between a fixed, predictable pool and a flexible, demand‑driven pool remains an open design question for the Ren'Py development team.
Which design decision regarding the thread pool size in renpy.fetch remains unresolved? Can a dynamic thread pool be implemented without breaking existing behavior? What visibility or API could be added to monitor or adjust the queue?
29775 reputation · 10 Oct 2022, 21:11 UTC
The Ren'Py team has not yet decided whether to expose a dynamic, demand‑driven thread pool for renpy.fetch or to keep the pool size fixed and only configurable at start‑up via config.fetch_thread_count. This leaves the trade‑off between a predictable, static pool and a flexible, auto‑scaling pool as an open question.
config.fetch_thread_count, which determines how many worker threads are available for background asset downloads.config.fetch_thread_count defaults to 4 and can be set in options.rpy or at runtime with python: config.fetch_thread_count = N before any fetch calls are made.options.rpy in your project.# Set the number of concurrent fetch threads (default 4)
config.fetch_thread_count = 8 # example value
renpy.fetch calls.python:
print('fetch thread count:', config.fetch_thread_count)
renpy.fetch calls (e.g., loading several images) and comparing elapsed time before and after changing the count.To choose an optimal fetch_thread_count you need to know the number of usable CPU cores on the target platform. If you can provide that detail, the recommendation can be refined (e.g., set the count to ≤ core count to avoid excessive contention).
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