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https://issues.apache.org/jira/browse/ARROW-2227?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17659255#comment-17659255
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Rok Mihevc commented on ARROW-2227:
-----------------------------------
This issue has been migrated to [issue
#18190|https://github.com/apache/arrow/issues/18190] on GitHub. Please see the
[migration documentation|https://github.com/apache/arrow/issues/14542] for
further details.
> [Python] Table.from_pandas does not create chunked_arrays.
> ----------------------------------------------------------
>
> Key: ARROW-2227
> URL: https://issues.apache.org/jira/browse/ARROW-2227
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 0.8.0
> Reporter: Left Screen
> Assignee: Wes McKinney
> Priority: Blocker
> Labels: pull-request-available
> Fix For: 0.9.0
>
>
> When creating a large enough array, pyarrow raises an exception:
> {code:java}
> import numpy as np
> import pandas as pd
> import pyarrow as pa
> x = list('1' * 2**31)
> y = pd.DataFrame({'x': x})
> t = pa.Table.from_pandas(y)
> # ArrowInvalid: BinaryArrow cannot contain more than 2147483646 bytes, have
> 2147483647{code}
> The array should be chunked for the user. As is, data frames with >2 GiB inÂ
> binary data will struggle to get into arrow.
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