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 25bfe12 Publishing website 2019/02/13 21:54:33 at commit 6d6385f
25bfe12 is described below
commit 25bfe12cf94f4a6d9ae6b95990e15de7e774470c
Author: jenkins <bui...@apache.org>
AuthorDate: Wed Feb 13 21:54:33 2019 +0000
Publishing website 2019/02/13 21:54:33 at commit 6d6385f
---
.../generated-content/documentation/programming-guide/index.html | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git
a/website/generated-content/documentation/programming-guide/index.html
b/website/generated-content/documentation/programming-guide/index.html
index a0fac04..e3090f6 100644
--- a/website/generated-content/documentation/programming-guide/index.html
+++ b/website/generated-content/documentation/programming-guide/index.html
@@ -1717,7 +1717,7 @@ PerKey must be an associative reduction function or a
subclass of <code class="h
<h4 id="flatten">4.2.5. Flatten</h4>
<p><span class="language-java"><a
href="https://beam.apache.org/releases/javadoc/2.10.0/index.html?org/apache/beam/sdk/transforms/Flatten.html";><code
class="highlighter-rouge">Flatten</code></a></span>
-<span class="language-py"><a
href="https://github.com/apache/beam/blob/master/sdks/python/apache_beam/transforms/core.py";><code
class="highlighter-rouge">Flatten</code></a></span> and
+<span class="language-py"><a
href="https://github.com/apache/beam/blob/master/sdks/python/apache_beam/transforms/core.py";><code
class="highlighter-rouge">Flatten</code></a></span>
is a Beam transform for <code class="highlighter-rouge">PCollection</code>
objects that store the same data type.
<code class="highlighter-rouge">Flatten</code> merges multiple <code
class="highlighter-rouge">PCollection</code> objects into a single logical
<code class="highlighter-rouge">PCollection</code>.</p>
@@ -2093,7 +2093,7 @@ together.</p>
<h4 id="multiple-outputs-dofn">4.5.2. Emitting to multiple outputs in your
DoFn</h4>
-<div class="language-java highlighter-rouge"><pre
class="highlight"><code><span class="c1">// Inside your ParDo's DoFn, you can
emit an element to a specific output PCollection by providing a </span>
+<div class="language-java highlighter-rouge"><pre
class="highlight"><code><span class="c1">// Inside your ParDo's DoFn, you can
emit an element to a specific output PCollection by providing a</span>
<span class="c1">// MultiOutputReceiver to your process method, and passing in
the appropriate TupleTag to obtain an OutputReceiver.</span>
<span class="c1">// After your ParDo, extract the resulting output
PCollections from the returned PCollectionTuple.</span>
<span class="c1">// Based on the previous example, this shows the DoFn
emitting to the main output and two additional outputs.</span>
@@ -2199,7 +2199,7 @@ The <code
class="highlighter-rouge">PipelineOptions</code> for the current pipel
<p class="language-java"><code class="highlighter-rouge">@OnTimer</code>
methods can also access many of these parameters. Timestamp, window, <code
class="highlighter-rouge">PipelineOptions</code>, <code
class="highlighter-rouge">OutputReceiver</code>, and
<code class="highlighter-rouge">MultiOutputReceiver</code> parameters can all
be accessed in an <code class="highlighter-rouge">@OnTimer</code> method. In
addition, an <code class="highlighter-rouge">@OnTimer</code> method can take
a parameter of type <code class="highlighter-rouge">TimeDomain</code> which
tells whether the timer is based on event time or processing time.
-Timers are explained in more detail in the
+Timers are explained in more detail in the
<a href="/blog/2017/08/28/timely-processing.html">Timely (and Stateful)
Processing with Apache Beam</a> blog post.</p>
<h3 id="composite-transforms">4.6. Composite transforms</h3>
