Use DataFusion 28 (#439) #290

	name: Build conda nightly
	on: [push, pull_request]

	# Cancel any already running instances of this build
	concurrency:
	group: conda-${{ github.head_ref }}
	cancel-in-progress: true

	# Required shell entrypoint to have properly activated conda environments
	defaults:
	run:
	shell: bash -l {0}

	jobs:
	conda:
	name: Build (and optionally upload) the conda nightly
	runs-on: ubuntu-latest
	steps:
	- uses: actions/checkout@v3
	with:
	fetch-depth: 0
	- name: Set up Python
	uses: conda-incubator/[email protected]
	with:
	miniforge-variant: Mambaforge
	use-mamba: true
	python-version: "3.10"
	channel-priority: strict
	- name: Install dependencies
	run: \|
	mamba install boa conda-verify

	which python
	pip list
	mamba list
	- uses: actions-rs/toolchain@v1
	with:
	profile: minimal
	toolchain: stable
	override: true
	components: clippy, rustfmt
	- name: Build conda package
	run: \|
	# suffix for nightly package versions
	export VERSION_SUFFIX=a`date +%y%m%d`

	conda mambabuild conda/recipes \
	--no-anaconda-upload \
	--output-folder .
	# - name: Upload conda package
	# if: \|
	# github.event_name == 'push'
	# && github.repository == 'apache/arrow-datafusion-python'
	# env:
	# ANACONDA_API_TOKEN: ${{ secrets.DASK_CONDA_TOKEN }}
	# LABEL: ${{ github.ref == 'refs/heads/datafusion-sql-planner' && 'dev_datafusion' \|\| 'dev' }}
	# run: \|
	# # install anaconda for upload
	# mamba install anaconda-client

	# anaconda upload --label $LABEL linux-64/*.tar.bz2

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