Skip to content
This repository was archived by the owner on Sep 11, 2023. It is now read-only.

Conversation

@JackKelly
Copy link
Contributor

@JackKelly JackKelly commented Nov 18, 2021

Pull Request

Description

Fixes #456

How Has This Been Tested?

  • No
  • Yes, unit test pass
  • Yes, prepare_ml_data.py runs

Checklist:

  • My code follows OCF's coding style guidelines
  • I have performed a self-review of my own code
  • I have made corresponding changes to the documentation
  • I have added tests that prove my fix is effective or that my feature works
  • I have checked my code and corrected any misspellings

@JackKelly JackKelly added the enhancement New feature or request label Nov 18, 2021
@JackKelly JackKelly self-assigned this Nov 18, 2021
@JackKelly JackKelly changed the base branch from main to jack/325-use-multiprocessing-pool-in-manager November 18, 2021 15:02
Base automatically changed from jack/325-use-multiprocessing-pool-in-manager to main November 18, 2021 15:04
Copy link
Contributor

@jacobbieker jacobbieker left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Awesome work making it so much faster!

@JackKelly
Copy link
Contributor Author

Awesome work making it so much faster!

Hehe, I can't really take any credit... it's dask that's doing all the magic 🙂

@JackKelly JackKelly merged commit 532d077 into main Nov 18, 2021
@JackKelly JackKelly deleted the jack/try-using-dask-to-speed-up-loading-zarrs branch November 18, 2021 15:09
Sign up for free to subscribe to this conversation on GitHub. Already have an account? Sign in.

Labels

enhancement New feature or request

Projects

None yet

Development

Successfully merging this pull request may close these issues.

Experiment will allowing xr.open_mfdataset to use dask for NWPs and Satellite to speed up loading

3 participants