[ https://issues.apache.org/jira/browse/ARROW-5966?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16887155#comment-16887155 ]
Antoine Pitrou commented on ARROW-5966:
---------------------------------------
I am not seeing this issue:
{code:python}
>>> import pyarrow as pa
>>> import numpy as np
>>>
>>> l = []
>>> x = b"x"*1024
>>> for i in range(4 * (1024**2)): l.append(x)
>>> arr = pa.array(l)
>>> arr.type
DataType(binary)
>>> type(arr)
pyarrow.lib.ChunkedArray
>>> len(arr)
4194304
>>> len(arr.chunks)
3
>>> del arr
>>> narr = np.array(l)
>>> narr.nbytes
4294967296
>>> arr = pa.array(narr)
>>> type(arr)
pyarrow.lib.ChunkedArray
>>> len(arr.chunks)
256
>>> len(arr)
4194304
{code}
> [Python] Capacity error when converting large string 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
> Priority: Major
>
> 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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