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From dhalp...@apache.org
Subject [3/4] beam-site git commit: remove note about JIRA
Date Thu, 25 May 2017 21:02:15 GMT
remove note about JIRA


Project: http://git-wip-us.apache.org/repos/asf/beam-site/repo
Commit: http://git-wip-us.apache.org/repos/asf/beam-site/commit/ae9e8886
Tree: http://git-wip-us.apache.org/repos/asf/beam-site/tree/ae9e8886
Diff: http://git-wip-us.apache.org/repos/asf/beam-site/diff/ae9e8886

Branch: refs/heads/asf-site
Commit: ae9e8886836f2f4da455fe3fe65659cbb8e2198a
Parents: 6c6213a
Author: Dan Halperin <dhalperi@google.com>
Authored: Thu May 25 14:01:24 2017 -0700
Committer: Dan Halperin <dhalperi@google.com>
Committed: Thu May 25 14:01:24 2017 -0700

----------------------------------------------------------------------
 src/get-started/wordcount-example.md | 2 --
 1 file changed, 2 deletions(-)
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http://git-wip-us.apache.org/repos/asf/beam-site/blob/ae9e8886/src/get-started/wordcount-example.md
----------------------------------------------------------------------
diff --git a/src/get-started/wordcount-example.md b/src/get-started/wordcount-example.md
index 73e4da8..cf0ebc0 100644
--- a/src/get-started/wordcount-example.md
+++ b/src/get-started/wordcount-example.md
@@ -27,8 +27,6 @@ Each WordCount example introduces different concepts in the Beam programming
mod
 * **Debugging WordCount** introduces logging and debugging practices.
 * **Windowed WordCount** demonstrates how you can use Beam's programming model to handle
both bounded and unbounded datasets.
 
-> Note: The instructions on this page, for how to run the WordCount examples, have not
yet been verified for all runners. (See the Jira issues for the [direct](https://issues.apache.org/jira/browse/BEAM-2348),
[Apex](https://issues.apache.org/jira/browse/BEAM-2349), [Spark](https://issues.apache.org/jira/browse/BEAM-2350),
and [Dataflow](https://issues.apache.org/jira/browse/BEAM-2351) runners).
-
 ## MinimalWordCount
 
 Minimal WordCount demonstrates a simple pipeline that can read from a text file, apply transforms
to tokenize and count the words, and write the data to an output text file. This example hard-codes
the locations for its input and output files and doesn't perform any error checking; it is
intended to only show you the "bare bones" of creating a Beam pipeline. This lack of parameterization
makes this particular pipeline less portable across different runners than standard Beam pipelines.
In later examples, we will parameterize the pipeline's input and output sources and show other
best practices.


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