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Cyril Scetbon commented on SPARK-16367:
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Is there a better way to do it today ? I see that ticket
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Dan Blanchard commented on SPARK-16367:
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Right, sorry. I just meant to point out that the proposal
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Semet commented on SPARK-16367:
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Yes, I don't use it because it is a feature of {{pip}}:
{{code}
pip wheel
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Dan Blanchard commented on SPARK-16367:
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You don't actually appear to use the {{wheelhouse}} Python
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Semet commented on SPARK-16367:
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Yes in our pull request both conda and pip are supported. Wheel allow pip
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Benjamin Zaitlen commented on SPARK-16367:
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[~gae...@xeberon.net] do you also have plans on
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Semet commented on SPARK-16367:
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Blog post about PySpark job deployment:
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Semet commented on SPARK-16367:
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I have sent a design doc and pullrequest. They are deliberately based on
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Semet commented on SPARK-16367:
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Wheels are tagged by os, architecture, Python version and it seems to be
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Jeff Zhang commented on SPARK-16367:
[~gae...@xeberon.net] I still don't understand how the binary
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Semet commented on SPARK-16367:
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Description of the bug updated :)
> Wheelhouse Support for PySpark
>
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Semet commented on SPARK-16367:
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I am wrong on one point: even if each node fetch independently from the
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Semet commented on SPARK-16367:
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Yes and you have artifactory that has and automatic mirroring capability
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Semet commented on SPARK-16367:
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For me, you as a developer are already inside a virtual env when you write
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Jeff Zhang commented on SPARK-16367:
Preparing the wheelhouse seems time consuming to me especially
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Jeff Zhang commented on SPARK-16367:
Oh, happen to find this project to build local python package
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Semet commented on SPARK-16367:
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This is where the magic of wheels lies:
- look at
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Jeff Zhang commented on SPARK-16367:
[~gae...@xeberon.net] Thanks for the new idea, this makes the
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