westonpace commented on a change in pull request #70:
URL: https://github.com/apache/arrow-cookbook/pull/70#discussion_r711394996
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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:
I experimented and it seems, for me at least, the S3 URL works if I have
no credentials file (presumably it is anonymous in that case) and it works if I
have credentials belonging to the Ursa organization in S3. It fails if I have
invalid credentials (not an interesting use case) and if I have valid
credentials that aren't part of the Ursa organization (this is the case I think
that people keep running into unexpectedly, which is aided by the
anonymous=True flag)
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