[beam] branch asf-site updated: Publishing website 2020/04/03 00:08:10 at commit 29b2484

[gi...@apache.org]

This is an automated email from the ASF dual-hosted git repository.

git-site-role pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/beam.git


The following commit(s) were added to refs/heads/asf-site by this push:
     new 740ce62  Publishing website 2020/04/03 00:08:10 at commit 29b2484
740ce62 is described below

commit 740ce62abb19f90a6c3bfced8f7752399921d5b7
Author: jenkins <bu...@apache.org>
AuthorDate: Fri Apr 3 00:08:10 2020 +0000

    Publishing website 2020/04/03 00:08:10 at commit 29b2484
---
 website/generated-content/documentation/programming-guide/index.html | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/website/generated-content/documentation/programming-guide/index.html b/website/generated-content/documentation/programming-guide/index.html
index 74b9065..63b87cf 100644
--- a/website/generated-content/documentation/programming-guide/index.html
+++ b/website/generated-content/documentation/programming-guide/index.html
@@ -638,7 +638,7 @@ the Pipeline Runner.</li>
   <li>Create an initial <code class="highlighter-rouge">PCollection</code> for pipeline data, either using the IOs
 to read data from an external storage system, or using a <code class="highlighter-rouge">Create</code> transform to
 build a <code class="highlighter-rouge">PCollection</code> from in-memory data.</li>
-  <li><strong>Apply</strong> <code class="highlighter-rouge">PTransforms</code> to each <code class="highlighter-rouge">PCollection</code>. Transforms can change, filter,
+  <li><strong>Apply</strong> <code class="highlighter-rouge">PTransform</code>s to each <code class="highlighter-rouge">PCollection</code>. Transforms can change, filter,
 group, analyze, or otherwise process the elements in a <code class="highlighter-rouge">PCollection</code>. A
 transform creates a new output <code class="highlighter-rouge">PCollection</code> <em>without modifying the input
 collection</em>. A typical pipeline applies subsequent transforms to each new
@@ -664,7 +664,7 @@ processing task. Your Beam driver program typically starts by constructing a
 <span class="language-java"><a href="https://beam.apache.org/releases/javadoc/2.19.0/index.html?org/apache/beam/sdk/Pipeline.html">Pipeline</a></span>
 <span class="language-py"><a href="https://github.com/apache/beam/blob/master/sdks/python/apache_beam/pipeline.py">Pipeline</a></span>
 object, and then using that object as the basis for creating the pipeline’s data
-sets as <code class="highlighter-rouge">PCollection</code>s and its operations as <code class="highlighter-rouge">Transform</code>s.</p>
+sets as <code class="highlighter-rouge">PCollection</code>s and its operations as <code class="highlighter-rouge">PTransform</code>s.</p>
 
 <p>To use Beam, your driver program must first create an instance of the Beam SDK
 class <code class="highlighter-rouge">Pipeline</code> (typically in the <code class="highlighter-rouge">main()</code> function). When you create your