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https://issues.apache.org/jira/browse/BEAM-2005?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15989592#comment-15989592
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ASF GitHub Bot commented on BEAM-2005:
--------------------------------------
GitHub user lukecwik opened a pull request:
https://github.com/apache/beam/pull/2772
[BEAM-2005] Swap to use Lists within MatchResult instead of arrays.
Be sure to do all of the following to help us incorporate your contribution
quickly and easily:
- [ ] Make sure the PR title is formatted like:
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- [ ] Make sure tests pass via `mvn clean verify`. (Even better, enable
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- [ ] Replace `<Jira issue #>` in the title with the actual Jira issue
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---
Everywhere in our codebase we go through and want to have lists as the
return type. This also AutoValue's them.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/lukecwik/incubator-beam hdfs2
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/beam/pull/2772.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #2772
----
commit f9fe921cb64a19a092590644e1d94a4b202db3c9
Author: Luke Cwik <[email protected]>
Date: 2017-04-28T23:27:53Z
[BEAM-2005] Swap to use Lists within MatchResult instead of arrays.
----
> Add a Hadoop FileSystem implementation of Beam's FileSystem
> -----------------------------------------------------------
>
> Key: BEAM-2005
> URL: https://issues.apache.org/jira/browse/BEAM-2005
> Project: Beam
> Issue Type: New Feature
> Components: sdk-java-extensions
> Reporter: Stephen Sisk
> Assignee: Luke Cwik
> Fix For: First stable release
>
>
> Beam's FileSystem creates an abstraction for reading from files in many
> different places.
> We should add a Hadoop FileSystem implementation
> (https://hadoop.apache.org/docs/r2.8.0/api/org/apache/hadoop/fs/FileSystem.html)
> - that would enable us to read from any file system that implements
> FileSystem (including HDFS, azure, s3, etc..)
> I'm investigating this now.
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