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Posted to issues@arrow.apache.org by "Sritanu Chakraborty (JIRA)" <ji...@apache.org> on 2018/04/27 05:16:00 UTC
[jira] [Commented] (ARROW-1907) [C++/Python] Feather format cannot
accommodate string columns containing more than a total of 2GB of data
[ https://issues.apache.org/jira/browse/ARROW-1907?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16455773#comment-16455773 ]
Sritanu Chakraborty commented on ARROW-1907:
--------------------------------------------
What's the current state of this issue? I am trying to convert a pandas dataframe of 10 Gb(approx) to feather. I am getting the same error:
{code:java}
TypeError: Cannot convert pyarrow.lib.ChunkedArray to pyarrow.lib.Array{code}
> [C++/Python] Feather format cannot accommodate string columns containing more than a total of 2GB of data
> ---------------------------------------------------------------------------------------------------------
>
> Key: ARROW-1907
> URL: https://issues.apache.org/jira/browse/ARROW-1907
> Project: Apache Arrow
> Issue Type: Bug
> Components: C++
> Reporter: Wes McKinney
> Priority: Major
>
> This can be fixed by migrating Feather to using the Arrow file/stream format internally. As soon as we have R bindings for Arrow, we can do this
> See https://github.com/wesm/feather/issues/325
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