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https://issues.apache.org/jira/browse/ARROW-6577?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16931357#comment-16931357
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Suvayu Ali commented on ARROW-6577:
-----------------------------------
[~Igor Yastrebov] Yes
[~xhochy] Hmm, it's not easy for me to upgrade conda itself. Thanks for
investigating. I'll see what I can do.
> Dependency conflict in conda packages
> -------------------------------------
>
> Key: ARROW-6577
> URL: https://issues.apache.org/jira/browse/ARROW-6577
> Project: Apache Arrow
> Issue Type: Bug
> Components: Packaging
> Affects Versions: 0.14.1
> Environment: kernel: 5.2.11-200.fc30.x86_64
> conda 4.6.13
> Python 3.7.3
> Reporter: Suvayu Ali
> Priority: Major
> Attachments: pa-conda.txt
>
>
> When I install pyarrow on a fresh environment, the latest version (0.14.1) is
> picked up. But installing certain packages downgrades pyarrow to 0.13.0 or
> 0.12.1. I think a common dependency is causing the downgrade, my guess is
> boost or protobuf. This is based on several instances of this issue I
> encountered over the last few weeks. It took me a while to find a somewhat
> reproducible recipe.
> {code:java}
> $ conda create -n test pyarrow pandas numpy
> ...
> Proceed ([y]/n)? y
> ...
> $ conda install -n test ipython
> ...
> Proceed ([y]/n)? n
> CondaSystemExit: Exiting.
> {code}
> I have attached a mildly edited (to remove progress bars, and control
> characters) transcript of this session. Here {{ipython}} triggers the
> problem, and downgrades {{pyarrow}} to 0.12.1, but I think there are other
> common packages who also conflict in this way. Please let me know if I can
> provide more info.
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