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https://issues.apache.org/jira/browse/ARROW-1213?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16209490#comment-16209490
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ASF GitHub Bot commented on ARROW-1213:
---------------------------------------
Github user martindurant commented on the issue:
https://github.com/apache/arrow/pull/916
Great to see arrow and s3fs working together, thanks for looking into it.
Note that you can also give your credentials via files (typically in
~/.aws) or environment variables, if you don't want them to be stored within
your code. Also, if you are on AWS hardware, then credentials should generally
be available via the IAM service - see the s3fs docs.
> [Python] Enable s3fs to be used with ParquetDataset and reader/writer
> functions
> -------------------------------------------------------------------------------
>
> Key: ARROW-1213
> URL: https://issues.apache.org/jira/browse/ARROW-1213
> Project: Apache Arrow
> Issue Type: Improvement
> Reporter: Yacko
> Assignee: Wes McKinney
> Priority: Minor
> Labels: pull-request-available
> Fix For: 0.6.0
>
>
> Pyarrow dataset function can't read from s3 using s3fs as the filesystem. Is
> there a way we can add the support for read from s3 based on partitioned
> files ?
> I am trying to address the problem mentioned in the stackoverflow link :
> https://stackoverflow.com/questions/45082832/how-to-read-partitioned-parquet-files-from-s3-using-pyarrow-in-python
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