imathews opened a new issue, #42105: URL: https://github.com/apache/arrow/issues/42105
### Describe the enhancement requested Currently, most pyarrow.Dataset methods offer a `use_threads=bool` parameter. It would be nice if we could have finer control over the maximum thread count; e.g. `max_threads=int` (where passing 1 to max_threads would be the same as setting `use_threads=FALSE`). The use case here is when a user is working in shared cluster environment, where their process will be killed if it uses too many cores. We can of course set use_threads to False, but this is quite limiting when working in certain HPC environments. ### Component(s) Python -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
