jorisvandenbossche commented on a change in pull request #70:
URL: https://github.com/apache/arrow-cookbook/pull/70#discussion_r709315868
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File path: python/source/io.rst
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@@ -447,6 +450,27 @@ or :meth:`pyarrow.dataset.Dataset.to_batches` like you
would for a local one.
It is possible to load partitioned data also in the ipc arrow
format or in feather format.
+.. warning::
+
+ If the above code throws an error most likely the reason is your
+ AWS credentials are not set. Follow these instructions to get
Review comment:
Yeah, I wouldn't suggest changing the actual example again to use
`filesystem` instead of a URI. But in the warning box it might still be worth
mentioning the `anonymous` flag (and that you can then pass it with
`filesystem=`), as based on my reading of #56, it might solve similar errors.
Now, it's not really clear to me when what is a exactly giving problems. In
#56 it's having credentials set that makes reading the public bucket not work,
except if you use anonymous flag, while the explanation added in the PR above
seems to indicate that _setting_ credentials can help.
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