[testing] Local multi-processing executor#1024
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```flyte run --local-multi ...``` will not run locally across multiple processes. ```flyte.with_runcontext(mode="local-multi").run()``` does the same Signed-off-by: Ketan Umare <kumare3@users.noreply.github.com>
pingsutw
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Apr 30, 2026
| import concurrent.futures | ||
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| ControllerType = Literal["local", "remote"] | ||
| ControllerType = Literal["local", "local-multi", "remote"] |
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Would it be better to use multi-process when the user specifies local[4] (i.e., use 4 processes)?
Same as spark local mode. https://github.com/tomaztk/Spark-for-data-engineers/blob/main/SparkEngineers/04_Spark-Architecture-Local-and-cluster-mode.md#spark-architecture---local-and-cluster-mode
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I dont know if we can do that, as it maybe nested, or are you saying its parallel limit?
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local[4] would be nice if we could
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the challenge is deadlock, if local[4] but, we need more to complete then how can we stop
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i mean this
_DEFAULT_MAX_WORKERS = min(os.cpu_count() or 1, 8)
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flyte run --local-multi ...will now run locally across multiple processes.flyte.with_runcontext(mode="local-multi").run()does the same