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https://issues.apache.org/jira/browse/ARROW-1670?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16205318#comment-16205318
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ASF GitHub Bot commented on ARROW-1670:
---------------------------------------
Github user TomAugspurger commented on the issue:
https://github.com/apache/arrow/pull/1197
@cpcloud do you see any way to adapt your build script to use the
environment that's already built nightly. IIUC, then it's using conda-build,
does that leave the environment around long enough to run `asv continuous
--python=same`? If we can do that and then, `asv gh-pages`, then copy the
results over to `$HOME/asv-collection/arrow`, they should get published to
pandas.pydata.org/speed along with the rest.
Otherwise, I can just add it to https://github.com/tomaugspurger/asv-runner
with the rest.
> [Python] Speed up deserialization code path
> -------------------------------------------
>
> Key: ARROW-1670
> URL: https://issues.apache.org/jira/browse/ARROW-1670
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Reporter: Philipp Moritz
> Assignee: Philipp Moritz
> Priority: Minor
> Labels: pull-request-available
> Fix For: 0.8.0
>
>
> At the moment we are using smart pointers for keeping track of UnionArray
> types and values. We can get rid of this overhead.
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