Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Support "dataframe.query-planning" config in dask.dataframe #1311

Open
2 tasks done
rjzamora opened this issue Feb 12, 2024 · 0 comments
Open
2 tasks done

Support "dataframe.query-planning" config in dask.dataframe #1311

rjzamora opened this issue Feb 12, 2024 · 0 comments
Labels
feature request New feature or request

Comments

@rjzamora
Copy link
Member

rjzamora commented Feb 12, 2024

This is the Dask CUDA component of rapidsai/cudf#15027

The "legacy" dask.dataframe API is now deprecated, and both dask-cudf and dask-cuda need to be updated accordingly.

@rjzamora rjzamora added the feature request New feature or request label Feb 12, 2024
rapids-bot bot pushed a commit that referenced this issue Feb 13, 2024
Dask CUDA must use the deprecated `dask.dataframe` API until #1311 and rapidsai/cudf#15027 are both closed. This means that we must explicitly filter the following deprecation warning to avoid nighlty CI failures:

```
DeprecationWarning: The current Dask DataFrame implementation is deprecated. 
In a future release, Dask DataFrame will use new implementation that
contains several improvements including a logical query planning.
The user-facing DataFrame API will remain unchanged.

The new implementation is already available and can be enabled by
installing the dask-expr library:

    $ pip install dask-expr

and turning the query planning option on:

    >>> import dask
    >>> dask.config.set({'dataframe.query-planning': True})
    >>> import dask.dataframe as dd

API documentation for the new implementation is available at
https://docs.dask.org/en/stable/dask-expr-api.html

Any feedback can be reported on the Dask issue tracker
https://github.com/dask/dask/issues 

  import dask.dataframe as dd
```

This PR adds the (temporarily) necessary warning filter.

Authors:
  - Richard (Rick) Zamora (https://github.com/rjzamora)
  - Peter Andreas Entschev (https://github.com/pentschev)

Approvers:
  - Peter Andreas Entschev (https://github.com/pentschev)

URL: #1312
rapids-bot bot pushed a commit that referenced this issue Mar 18, 2024
We should skip explicit-comms tests when dask-expr is active (for now).

Adding dask-expr support is part of #1311

Authors:
  - Richard (Rick) Zamora (https://github.com/rjzamora)

Approvers:
  - Peter Andreas Entschev (https://github.com/pentschev)

URL: #1322
younseojava pushed a commit to ROCm/dask-cuda-rocm that referenced this issue Apr 16, 2024
Dask CUDA must use the deprecated `dask.dataframe` API until rapidsai#1311 and rapidsai/cudf#15027 are both closed. This means that we must explicitly filter the following deprecation warning to avoid nighlty CI failures:

```
DeprecationWarning: The current Dask DataFrame implementation is deprecated. 
In a future release, Dask DataFrame will use new implementation that
contains several improvements including a logical query planning.
The user-facing DataFrame API will remain unchanged.

The new implementation is already available and can be enabled by
installing the dask-expr library:

    $ pip install dask-expr

and turning the query planning option on:

    >>> import dask
    >>> dask.config.set({'dataframe.query-planning': True})
    >>> import dask.dataframe as dd

API documentation for the new implementation is available at
https://docs.dask.org/en/stable/dask-expr-api.html

Any feedback can be reported on the Dask issue tracker
https://github.com/dask/dask/issues 

  import dask.dataframe as dd
```

This PR adds the (temporarily) necessary warning filter.

Authors:
  - Richard (Rick) Zamora (https://github.com/rjzamora)
  - Peter Andreas Entschev (https://github.com/pentschev)

Approvers:
  - Peter Andreas Entschev (https://github.com/pentschev)

URL: rapidsai#1312
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
feature request New feature or request
Projects
Status: No status
Development

No branches or pull requests

1 participant