ARROW-14932: [CI] Prefer mamba over conda #11816
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kszucs
changed the title
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@github-actions crossbow submit test-conda-* |
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Revision: ad41c19 Submitted crossbow builds: ursacomputing/crossbow @ actions-1220
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Perhaps you can also make the same changes for AppVeyor? |
| @@ -29,8 +29,7 @@ dask=$1 | |||
| if [ "${dask}" = "master" ]; then | |||
| pip install https://github.com/dask/dask/archive/main.tar.gz#egg=dask[dataframe] | |||
| elif [ "${dask}" = "latest" ]; then | |||
| conda install -q dask | |||
| pip install dask | |||
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What's the reason to switch to pip here?
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These scripts might be used from non-conda images so rather prefer pip here.
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This broke the nightly integration build, because the pip version not installing pandas automatically (now this is easily solved with pip install dask[dataframe] like is already done above for the main branch)
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Sorry, creating a PR for it.
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@github-actions crossbow submit test-conda-* |
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Revision: b709bd7 Submitted crossbow builds: ursacomputing/crossbow @ actions-1225
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@github-actions crossbow submit test-conda-* |
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Revision: bff9147 Submitted crossbow builds: ursacomputing/crossbow @ actions-1226
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Benchmark runs are scheduled for baseline = bca0681 and contender = f416111. f416111 is a master commit associated with this PR. Results will be available as each benchmark for each run completes. |
Mamba should provide quicker image builds compared to conda.