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https://issues.apache.org/jira/browse/ARROW-5966?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Francois Saint-Jacques resolved ARROW-5966.
-------------------------------------------
Resolution: Fixed
Issue resolved by pull request 5122
[https://github.com/apache/arrow/pull/5122]
> [Python] Capacity error when converting large UTF32 numpy array to arrow array
> ------------------------------------------------------------------------------
>
> Key: ARROW-5966
> URL: https://issues.apache.org/jira/browse/ARROW-5966
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 0.13.0, 0.14.0
> Reporter: Igor Yastrebov
> Assignee: Wes McKinney
> Priority: Major
> Labels: pull-request-available
> Fix For: 0.15.0
>
> Time Spent: 20m
> Remaining Estimate: 0h
>
> Trying to create a large string array fails with
> ArrowCapacityError: Encoded string length exceeds maximum size (2GB)
> instead of creating a chunked array.
>
> A reproducible example:
> {code:java}
> import uuid
> import numpy as np
> import pyarrow as pa
> li = []
> for i in range(100000000):
> li.append(uuid.uuid4().hex)
> arr = np.array(li)
> parr = pa.array(arr)
> {code}
> Is it a regression or was it never properly fixed:
> [https://github.com/apache/arrow/issues/1855]?
>
>
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