feat(ingest/snowflake): refactor + parallel schema extraction #10653
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| @@ -34,6 +36,10 @@ | |||
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| logger = logging.getLogger(__name__) | |||
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| DEFAULT_REST_SINK_MAX_THREADS = int( | |||
| os.getenv("DATAHUB_REST_SINK_DEFAULT_MAX_THREADS", 15) | |||
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Shouldn't this be set based on the number of cores?
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Because of the python GIL, python pretty much runs on a single core regardless - the total number of cores available only matters when using multiprocessing, not threading.
The threads help because the rest sink is usually bound by I/O, which releases the GIL and allows other threads to run
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