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Prepare for 2024.1.0-rc0 release (#1297)
* Pin dask/distributed * Bump version to 2024.1.0-rc0 * Bump GPU envs and docs to CTK 11.8 * Use conda nightlies for dask/distributed in GPU envs
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Diff for: ‎Cargo.lock

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Diff for: ‎Cargo.toml

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[package]
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name = "dask-sql"
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repository = "https://github.com/dask-contrib/dask-sql"
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version = "2023.11.0"
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version = "2024.1.0-rc0"
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description = "Bindings for DataFusion used by Dask-SQL"
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readme = "README.md"
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license = "Apache-2.0"

Diff for: ‎continuous_integration/docker/conda.txt

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python>=3.9
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dask>=2022.3.0
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dask>=2022.3.0,<=2024.1.0
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pandas>=1.4.0
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jpype1>=1.0.2
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openjdk>=8

Diff for: ‎continuous_integration/docker/main.dockerfile

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# build requirements
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"maturin>=1.3,<1.4" \
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# core dependencies
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"dask>=2022.3.0" \
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"dask>=2022.3.0,<=2024.1.0" \
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"pandas>=1.4.0" \
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"fastapi>=0.92.0" \
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"httpx>=0.24.1" \

Diff for: ‎continuous_integration/environment-3.10.yaml

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- conda-forge
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dependencies:
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- c-compiler
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- dask>=2022.3.0
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- dask>=2022.3.0,<=2024.1.0
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- fastapi>=0.92.0
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- fugue>=0.7.3
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- httpx>=0.24.1

Diff for: ‎continuous_integration/environment-3.11.yaml

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- conda-forge
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dependencies:
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- c-compiler
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- dask>=2022.3.0
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- dask>=2022.3.0,<=2024.1.0
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- fastapi>=0.92.0
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- fugue>=0.7.3
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- httpx>=0.24.1

Diff for: ‎continuous_integration/environment-3.12.yaml

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- conda-forge
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dependencies:
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- c-compiler
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- dask>=2022.3.0
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- dask>=2022.3.0,<=2024.1.0
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- fastapi>=0.92.0
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- fugue>=0.7.3
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- httpx>=0.24.1

Diff for: ‎continuous_integration/gpuci/environment-3.10.yaml

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channels:
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- rapidsai
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- rapidsai-nightly
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- dask/label/dev
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- conda-forge
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- nvidia
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- nodefaults
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dependencies:
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- c-compiler
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- zlib
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- dask>=2022.3.0
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- dask>=2022.3.0,<=2024.1.0
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- fastapi>=0.92.0
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- fugue>=0.7.3
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- httpx>=0.24.1
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- tzlocal>=2.1
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- uvicorn>=0.13.4
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# GPU-specific requirements
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- cudatoolkit=11.5
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- cudatoolkit=11.8
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- cudf=24.02
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- cuml=24.02
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- dask-cudf=24.02
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- ucx-py=0.36
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- xgboost=*=rapidsai_py*
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- libxgboost=*=rapidsai_h*
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- pip
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- pip:
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- git+https://github.com/dask/dask
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- git+https://github.com/dask/distributed

Diff for: ‎continuous_integration/gpuci/environment-3.9.yaml

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channels:
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- rapidsai
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- rapidsai-nightly
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- dask/label/dev
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- conda-forge
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- nvidia
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- nodefaults
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dependencies:
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- c-compiler
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- zlib
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- dask>=2022.3.0
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- dask>=2022.3.0,<=2024.1.0
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- fastapi>=0.92.0
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- fugue>=0.7.3
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- httpx>=0.24.1
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- tzlocal>=2.1
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- uvicorn>=0.13.4
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# GPU-specific requirements
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- cudatoolkit=11.5
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- cudatoolkit=11.8
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- cudf=24.02
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- cuml=24.02
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- dask-cudf=24.02
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- ucx-py=0.36
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- xgboost=*=rapidsai_py*
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- libxgboost=*=rapidsai_h*
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- pip
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- pip:
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- git+https://github.com/dask/dask
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- git+https://github.com/dask/distributed

Diff for: ‎continuous_integration/recipe/meta.yaml

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- xz # [linux64]
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run:
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- python
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- dask >=2022.3.0
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- dask >=2022.3.0,<=2024.1.0
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- pandas >=1.4.0
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- fastapi >=0.92.0
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- httpx >=0.24.1

Diff for: ‎docs/environment.yml

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- sphinx>=4.0.0
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- sphinx-tabs
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- dask-sphinx-theme>=2.0.3
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- dask>=2022.3.0
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- dask>=2022.3.0,<=2024.1.0
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- pandas>=1.4.0
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- fugue>=0.7.3
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# FIXME: https://github.com/fugue-project/fugue/issues/526

Diff for: ‎docs/requirements-docs.txt

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sphinx>=4.0.0
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sphinx-tabs
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dask-sphinx-theme>=3.0.0
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dask>=2022.3.0
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dask>=2022.3.0,<=2024.1.0
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pandas>=1.4.0
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fugue>=0.7.3
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# FIXME: https://github.com/fugue-project/fugue/issues/526

Diff for: ‎docs/source/installation.rst

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.. code-block:: bash
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conda create --name rapids-env -c rapidsai-nightly -c nvidia -c conda-forge \
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cudf=22.10 dask-cudf=22.10 ucx-py ucx-proc=*=gpu python=3.9 cudatoolkit=11.5
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cudf=22.10 dask-cudf=22.10 ucx-py ucx-proc=*=gpu python=3.9 cudatoolkit=11.8
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conda activate rapids-env
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Note that using UCX is mainly necessary if you have an Infiniband or NVLink enabled system.

Diff for: ‎pyproject.toml

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readme = "README.md"
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requires-python = ">=3.9"
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dependencies = [
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"dask[dataframe]>=2022.3.0",
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"distributed>=2022.3.0",
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"dask[dataframe]>=2022.3.0,<=2024.1.0",
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"distributed>=2022.3.0,<=2024.1.0",
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"pandas>=1.4.0",
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"fastapi>=0.92.0",
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"httpx>=0.24.1",

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