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new 26a53bb Publishing website 2020/07/21 00:02:05 at commit f36250f
26a53bb is described below
commit 26a53bb9f4d69f724216974c308729bbfa68979f
Author: jenkins <[email protected]>
AuthorDate: Tue Jul 21 00:02:06 2020 +0000
Publishing website 2020/07/21 00:02:05 at commit f36250f
---
website/generated-content/documentation/index.xml | 132 +++++++++++++++++++--
.../transforms/python/aggregation/count/index.html | 47 +++++++-
website/generated-content/sitemap.xml | 2 +-
3 files changed, 168 insertions(+), 13 deletions(-)
diff --git a/website/generated-content/documentation/index.xml
b/website/generated-content/documentation/index.xml
index bdb7d1c..aaa95b7 100644
--- a/website/generated-content/documentation/index.xml
+++ b/website/generated-content/documentation/index.xml
@@ -7455,20 +7455,132 @@ See the License for the specific language governing
permissions and
limitations under the License.
-->
<h1 id="count">Count</h1>
-<table align="left">
-<a target="_blank" class="button"
-href="https://beam.apache.org/releases/pydoc/2.12.0/apache_beam.transforms.combiners.html?#apache_beam.transforms.combiners.Count";>
-<img src="https://beam.apache.org/images/logos/sdks/python.png";
width="20px" height="20px"
-alt="Pydoc" />
-Pydoc
-</a>
+<script type="text/javascript">
+localStorage.setItem("language", "language-py")
+</script>
+<table align="left" style="margin-right:1em">
+<td>
+<a
+class="button"
+target="_blank"
+href="https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.combiners.html#apache_beam.transforms.combiners.Count";
+><img
+src="https://beam.apache.org/images/logos/sdks/python.png";
+width="32px"
+height="32px"
+alt="Pydoc"
+/>
+Pydoc</a
+>
+</td>
</table>
-<br><br>
+<p><br><br><br></p>
<p>Counts the number of elements within each aggregation.</p>
<h2 id="examples">Examples</h2>
-<p>See <a
href="https://issues.apache.org/jira/browse/BEAM-7390";>BEAM-7390</a> for
updates.</p>
+<p>In the following example, we create a pipeline with two
<code>PCollection</code>s of produce.
+Then, we apply <code>Count</code> to get the total number of elements in
different ways.</p>
+<h3 id="example-1-counting-all-elements-in-a-pcollection">Example 1:
Counting all elements in a PCollection</h3>
+<p>We use <code>Count.Globally()</code> to count <em>all</em>
elements in a <code>PCollection</code>, even if there are duplicate
elements.</p>
+<div class=language-py>
+<div class="highlight"><pre class="chroma"><code class="language-py"
data-lang="py"><span class="kn">import</span> <span
class="nn">apache_beam</span> <span class="kn">as</span> <span
class="nn">beam</span>
+<span class="k">with</span> <span class="n">beam</span><span
class="o">.</span><span class="n">Pipeline</span><span
class="p">()</span> <span class="k">as</span> <span
class="n">pipeline</span><span class="p">:</span>
+<span class="n">total_elements</span> <span class="o">=</span>
<span class="p">(</span>
+<span class="n">pipeline</span>
+<span class="o">|</span> <span class="s1">&#39;Create
plants&#39;</span> <span class="o">&gt;&gt;</span>
<span class="n">beam</span><span class="o">.</span><span
class="n">Create</span><span class="p">(</span>
+<span class="p">[</span><span
class="s1">&#39;🍓&#39;</span><span class="p">,</span> <span
class="s1">&#39;🥕&#39;</span><span class="p">,</span> <span
class="s1">&#39;🥕&#39;</span><span class="p">,</span> <span
class="s1">&#39;🥕&#39;</span><span class="p">,</span> <span
class="s1">&#39;🍆&#39;</span><span class="p">,</span> <span
class="s1">&#39;🍆&#39;</span><span clas [...]
+<span class="o">|</span> <span class="s1">&#39;Count all
elements&#39;</span> <span class="o">&gt;&gt;</span>
<span class="n">beam</span><span class="o">.</span><span
class="n">combiners</span><span class="o">.</span><span
class="n">Count</span><span class="o">.</span><span
class="n">Globally</span><span class="p">()</span>
+<span class="o">|</span> <span class="n">beam</span><span
class="o">.</span><span class="n">Map</span><span
class="p">(</span><span class="k">print</span><span
class="p">))</span></code></pre></div>
+</div>
+<p class="notebook-skip">Output:</p>
+<div class=notebook-skip>
+<pre><code>10</code></pre>
+</div>
+<table align="left" style="margin-right:1em" class=".language-py" >
+<td>
+<a class="button" target="_blank"
href="https://github.com/apache/beam/blob/master/sdks/python/apache_beam/examples/snippets/transforms/aggregation/count.py";><img
src="https://www.tensorflow.org/images/GitHub-Mark-32px.png"; width="32px"
height="32px" alt="View source code" /> View source code</a>
+</td>
+</table>
+<p><br><br><br></p>
+<h3 id="example-2-counting-elements-for-each-key">Example 2: Counting
elements for each key</h3>
+<p>We use <code>Count.PerKey()</code> to count the elements for each
unique key in a <code>PCollection</code> of key-values.</p>
+<div class=language-py>
+<div class="highlight"><pre class="chroma"><code class="language-py"
data-lang="py"><span class="kn">import</span> <span
class="nn">apache_beam</span> <span class="kn">as</span> <span
class="nn">beam</span>
+<span class="k">with</span> <span class="n">beam</span><span
class="o">.</span><span class="n">Pipeline</span><span
class="p">()</span> <span class="k">as</span> <span
class="n">pipeline</span><span class="p">:</span>
+<span class="n">total_elements_per_keys</span> <span
class="o">=</span> <span class="p">(</span>
+<span class="n">pipeline</span>
+<span class="o">|</span> <span class="s1">&#39;Create
plants&#39;</span> <span class="o">&gt;&gt;</span>
<span class="n">beam</span><span class="o">.</span><span
class="n">Create</span><span class="p">([</span>
+<span class="p">(</span><span
class="s1">&#39;spring&#39;</span><span class="p">,</span>
<span class="s1">&#39;🍓&#39;</span><span class="p">),</span>
+<span class="p">(</span><span
class="s1">&#39;spring&#39;</span><span class="p">,</span>
<span class="s1">&#39;🥕&#39;</span><span class="p">),</span>
+<span class="p">(</span><span
class="s1">&#39;summer&#39;</span><span class="p">,</span>
<span class="s1">&#39;🥕&#39;</span><span class="p">),</span>
+<span class="p">(</span><span
class="s1">&#39;fall&#39;</span><span class="p">,</span>
<span class="s1">&#39;🥕&#39;</span><span class="p">),</span>
+<span class="p">(</span><span
class="s1">&#39;spring&#39;</span><span class="p">,</span>
<span class="s1">&#39;🍆&#39;</span><span class="p">),</span>
+<span class="p">(</span><span
class="s1">&#39;winter&#39;</span><span class="p">,</span>
<span class="s1">&#39;🍆&#39;</span><span class="p">),</span>
+<span class="p">(</span><span
class="s1">&#39;spring&#39;</span><span class="p">,</span>
<span class="s1">&#39;🍅&#39;</span><span class="p">),</span>
+<span class="p">(</span><span
class="s1">&#39;summer&#39;</span><span class="p">,</span>
<span class="s1">&#39;🍅&#39;</span><span class="p">),</span>
+<span class="p">(</span><span
class="s1">&#39;fall&#39;</span><span class="p">,</span>
<span class="s1">&#39;🍅&#39;</span><span class="p">),</span>
+<span class="p">(</span><span
class="s1">&#39;summer&#39;</span><span class="p">,</span>
<span class="s1">&#39;🌽&#39;</span><span class="p">),</span>
+<span class="p">])</span>
+<span class="o">|</span> <span class="s1">&#39;Count elements per
key&#39;</span> <span class="o">&gt;&gt;</span> <span
class="n">beam</span><span class="o">.</span><span
class="n">combiners</span><span class="o">.</span><span
class="n">Count</span><span class="o">.</span><span
class="n">PerKey</span><span class="p">()</span>
+<span class="o">|</span> <span class="n">beam</span><span
class="o">.</span><span class="n">Map</span><span
class="p">(</span><span class="k">print</span><span
class="p">))</span></code></pre></div>
+</div>
+<p class="notebook-skip">Output:</p>
+<div class=notebook-skip>
+<pre><code>(&#39;spring&#39;, 4)
+(&#39;summer&#39;, 3)
+(&#39;fall&#39;, 2)
+(&#39;winter&#39;, 1)</code></pre>
+</div>
+<table align="left" style="margin-right:1em" class=".language-py" >
+<td>
+<a class="button" target="_blank"
href="https://github.com/apache/beam/blob/master/sdks/python/apache_beam/examples/snippets/transforms/aggregation/count.py";><img
src="https://www.tensorflow.org/images/GitHub-Mark-32px.png"; width="32px"
height="32px" alt="View source code" /> View source code</a>
+</td>
+</table>
+<p><br><br><br></p>
+<h3 id="example-3-counting-all-unique-elements">Example 3: Counting all
unique elements</h3>
+<p>We use <code>Count.PerElement()</code> to count the only the
unique elements in a <code>PCollection</code>.</p>
+<div class=language-py>
+<div class="highlight"><pre class="chroma"><code class="language-py"
data-lang="py"><span class="kn">import</span> <span
class="nn">apache_beam</span> <span class="kn">as</span> <span
class="nn">beam</span>
+<span class="k">with</span> <span class="n">beam</span><span
class="o">.</span><span class="n">Pipeline</span><span
class="p">()</span> <span class="k">as</span> <span
class="n">pipeline</span><span class="p">:</span>
+<span class="n">total_unique_elements</span> <span
class="o">=</span> <span class="p">(</span>
+<span class="n">pipeline</span>
+<span class="o">|</span> <span class="s1">&#39;Create
produce&#39;</span> <span class="o">&gt;&gt;</span>
<span class="n">beam</span><span class="o">.</span><span
class="n">Create</span><span class="p">(</span>
+<span class="p">[</span><span
class="s1">&#39;🍓&#39;</span><span class="p">,</span> <span
class="s1">&#39;🥕&#39;</span><span class="p">,</span> <span
class="s1">&#39;🥕&#39;</span><span class="p">,</span> <span
class="s1">&#39;🥕&#39;</span><span class="p">,</span> <span
class="s1">&#39;🍆&#39;</span><span class="p">,</span> <span
class="s1">&#39;🍆&#39;</span><span clas [...]
+<span class="o">|</span> <span class="s1">&#39;Count unique
elements&#39;</span> <span class="o">&gt;&gt;</span>
<span class="n">beam</span><span class="o">.</span><span
class="n">combiners</span><span class="o">.</span><span
class="n">Count</span><span class="o">.</span><span
class="n">PerElement</span><span class="p">()</span>
+<span class="o">|</span> <span class="n">beam</span><span
class="o">.</span><span class="n">Map</span><span
class="p">(</span><span class="k">print</span><span
class="p">))</span></code></pre></div>
+</div>
+<p class="notebook-skip">Output:</p>
+<div class=notebook-skip>
+<pre><code>(&#39;🍓&#39;, 1)
+(&#39;🥕&#39;, 3)
+(&#39;🍆&#39;, 2)
+(&#39;🍅&#39;, 3)
+(&#39;🌽&#39;, 1)</code></pre>
+</div>
+<table align="left" style="margin-right:1em" class=".language-py" >
+<td>
+<a class="button" target="_blank"
href="https://github.com/apache/beam/blob/master/sdks/python/apache_beam/examples/snippets/transforms/aggregation/count.py";><img
src="https://www.tensorflow.org/images/GitHub-Mark-32px.png"; width="32px"
height="32px" alt="View source code" /> View source code</a>
+</td>
+</table>
+<p><br><br><br></p>
<h2 id="related-transforms">Related transforms</h2>
-<p>N/A</p></description></item><item><title>Documentation:
Create</title><link>/documentation/transforms/java/other/create/</link><pubDate>Mon,
01 Jan 0001 00:00:00
+0000</pubDate><guid>/documentation/transforms/java/other/create/</guid><description>
+<p>N/A</p>
+<table align="left" style="margin-right:1em">
+<td>
+<a
+class="button"
+target="_blank"
+href="https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.combiners.html#apache_beam.transforms.combiners.Count";
+><img
+src="https://beam.apache.org/images/logos/sdks/python.png";
+width="32px"
+height="32px"
+alt="Pydoc"
+/>
+Pydoc</a
+>
+</td>
+</table>
+<p><br><br><br></p></description></item><item><title>Documentation:
Create</title><link>/documentation/transforms/java/other/create/</link><pubDate>Mon,
01 Jan 0001 00:00:00
+0000</pubDate><guid>/documentation/transforms/java/other/create/</guid><description>
<!--
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
diff --git
a/website/generated-content/documentation/transforms/python/aggregation/count/index.html
b/website/generated-content/documentation/transforms/python/aggregation/count/index.html
index 7e2cc0a..c2332d2 100644
---
a/website/generated-content/documentation/transforms/python/aggregation/count/index.html
+++
b/website/generated-content/documentation/transforms/python/aggregation/count/index.html
@@ -1,8 +1,51 @@
<!doctype html><html lang=en class=no-js><head><meta charset=utf-8><meta
http-equiv=x-ua-compatible content="IE=edge"><meta name=viewport
content="width=device-width,initial-scale=1"><title>Count</title><meta
name=description content="Apache Beam is an open source, unified model and set
of language-specific SDKs for defining and executing data processing workflows,
and also data ingestion and integration flows, supporting Enterprise
Integration Patterns (EIPs) and Domain Specific Languag [...]
<span class=sr-only>Toggle navigation</span>
<span class=icon-bar></span><span class=icon-bar></span><span
class=icon-bar></span></button>
-<a href=/ class=navbar-brand><img alt=Brand style=height:25px
src=/images/beam_logo_navbar.png></a></div><div class="navbar-mask
closed"></div><div id=navbar class="navbar-container closed"><ul class="nav
navbar-nav"><li><a href=/get-started/beam-overview/>Get Started</a></li><li><a
href=/documentation/>Documentation</a></li><li><a
href=/documentation/sdks/java/>Languages</a></li><li><a
href=/documentation/runners/capability-matrix/>RUNNERS</a></li><li><a
href=/roadmap/>Roadmap</a></li>< [...]
-Pydoc</a></table><br><br><p>Counts the number of elements within each
aggregation.</p><h2 id=examples>Examples</h2><p>See <a
href=https://issues.apache.org/jira/browse/BEAM-7390>BEAM-7390</a> for
updates.</p><h2 id=related-transforms>Related
transforms</h2><p>N/A</p></div></div><footer class=footer><div
class=footer__contained><div class=footer__cols><div
class=footer__cols__col><div class=footer__cols__col__logo><img
src=/images/beam_logo_circle.svg class=footer__logo alt="Beam logo"></ [...]
+<a href=/ class=navbar-brand><img alt=Brand style=height:25px
src=/images/beam_logo_navbar.png></a></div><div class="navbar-mask
closed"></div><div id=navbar class="navbar-container closed"><ul class="nav
navbar-nav"><li><a href=/get-started/beam-overview/>Get Started</a></li><li><a
href=/documentation/>Documentation</a></li><li><a
href=/documentation/sdks/java/>Languages</a></li><li><a
href=/documentation/runners/capability-matrix/>RUNNERS</a></li><li><a
href=/roadmap/>Roadmap</a></li>< [...]
+Pydoc</a></td></table><p><br><br><br></p><p>Counts the number of elements
within each aggregation.</p><h2 id=examples>Examples</h2><p>In the following
example, we create a pipeline with two <code>PCollection</code>s of produce.
+Then, we apply <code>Count</code> to get the total number of elements in
different ways.</p><h3
id=example-1-counting-all-elements-in-a-pcollection>Example 1: Counting all
elements in a PCollection</h3><p>We use <code>Count.Globally()</code> to count
<em>all</em> elements in a <code>PCollection</code>, even if there are
duplicate elements.</p><div class=language-py><div class=highlight><pre
class=chroma><code class=language-py data-lang=py><span class=kn>import</span>
<span class=nn>apac [...]
+
+<span class=k>with</span> <span class=n>beam</span><span class=o>.</span><span
class=n>Pipeline</span><span class=p>()</span> <span class=k>as</span> <span
class=n>pipeline</span><span class=p>:</span>
+ <span class=n>total_elements</span> <span class=o>=</span> <span
class=p>(</span>
+ <span class=n>pipeline</span>
+ <span class=o>|</span> <span class=s1>'Create plants'</span>
<span class=o>>></span> <span class=n>beam</span><span
class=o>.</span><span class=n>Create</span><span class=p>(</span>
+ <span class=p>[</span><span class=s1>'🍓'</span><span
class=p>,</span> <span class=s1>'🥕'</span><span class=p>,</span> <span
class=s1>'🥕'</span><span class=p>,</span> <span
class=s1>'🥕'</span><span class=p>,</span> <span
class=s1>'🍆'</span><span class=p>,</span> <span
class=s1>'🍆'</span><span class=p>,</span> <span
class=s1>'🍅'</span><span class=p>,</span> <span
class=s1>'🍅'</span><span class=p>,</span> <span class= [...]
+ <span class=o>|</span> <span class=s1>'Count all
elements'</span> <span class=o>>></span> <span
class=n>beam</span><span class=o>.</span><span class=n>combiners</span><span
class=o>.</span><span class=n>Count</span><span class=o>.</span><span
class=n>Globally</span><span class=p>()</span>
+ <span class=o>|</span> <span class=n>beam</span><span
class=o>.</span><span class=n>Map</span><span class=p>(</span><span
class=k>print</span><span class=p>))</span></code></pre></div></div><p
class=notebook-skip>Output:</p><div
class=notebook-skip><pre><code>10</code></pre></div><table align=left
style=margin-right:1em class=.language-py><td><a class=button target=_blank
href=https://github.com/apache/beam/blob/master/sdks/python/apache_beam/examples/snippets/transforms/aggregatio
[...]
+
+<span class=k>with</span> <span class=n>beam</span><span class=o>.</span><span
class=n>Pipeline</span><span class=p>()</span> <span class=k>as</span> <span
class=n>pipeline</span><span class=p>:</span>
+ <span class=n>total_elements_per_keys</span> <span class=o>=</span> <span
class=p>(</span>
+ <span class=n>pipeline</span>
+ <span class=o>|</span> <span class=s1>'Create plants'</span>
<span class=o>>></span> <span class=n>beam</span><span
class=o>.</span><span class=n>Create</span><span class=p>([</span>
+ <span class=p>(</span><span class=s1>'spring'</span><span
class=p>,</span> <span class=s1>'🍓'</span><span class=p>),</span>
+ <span class=p>(</span><span class=s1>'spring'</span><span
class=p>,</span> <span class=s1>'🥕'</span><span class=p>),</span>
+ <span class=p>(</span><span class=s1>'summer'</span><span
class=p>,</span> <span class=s1>'🥕'</span><span class=p>),</span>
+ <span class=p>(</span><span class=s1>'fall'</span><span
class=p>,</span> <span class=s1>'🥕'</span><span class=p>),</span>
+ <span class=p>(</span><span class=s1>'spring'</span><span
class=p>,</span> <span class=s1>'🍆'</span><span class=p>),</span>
+ <span class=p>(</span><span class=s1>'winter'</span><span
class=p>,</span> <span class=s1>'🍆'</span><span class=p>),</span>
+ <span class=p>(</span><span class=s1>'spring'</span><span
class=p>,</span> <span class=s1>'🍅'</span><span class=p>),</span>
+ <span class=p>(</span><span class=s1>'summer'</span><span
class=p>,</span> <span class=s1>'🍅'</span><span class=p>),</span>
+ <span class=p>(</span><span class=s1>'fall'</span><span
class=p>,</span> <span class=s1>'🍅'</span><span class=p>),</span>
+ <span class=p>(</span><span class=s1>'summer'</span><span
class=p>,</span> <span class=s1>'🌽'</span><span class=p>),</span>
+ <span class=p>])</span>
+ <span class=o>|</span> <span class=s1>'Count elements per
key'</span> <span class=o>>></span> <span class=n>beam</span><span
class=o>.</span><span class=n>combiners</span><span class=o>.</span><span
class=n>Count</span><span class=o>.</span><span class=n>PerKey</span><span
class=p>()</span>
+ <span class=o>|</span> <span class=n>beam</span><span
class=o>.</span><span class=n>Map</span><span class=p>(</span><span
class=k>print</span><span class=p>))</span></code></pre></div></div><p
class=notebook-skip>Output:</p><div
class=notebook-skip><pre><code>('spring', 4)
+('summer', 3)
+('fall', 2)
+('winter', 1)</code></pre></div><table align=left
style=margin-right:1em class=.language-py><td><a class=button target=_blank
href=https://github.com/apache/beam/blob/master/sdks/python/apache_beam/examples/snippets/transforms/aggregation/count.py><img
src=https://www.tensorflow.org/images/GitHub-Mark-32px.png width=32px
height=32px alt="View source code"> View source
code</a></td></table><p><br><br><br></p><h3
id=example-3-counting-all-unique-elements>Example 3: Counting all uni [...]
+
+<span class=k>with</span> <span class=n>beam</span><span class=o>.</span><span
class=n>Pipeline</span><span class=p>()</span> <span class=k>as</span> <span
class=n>pipeline</span><span class=p>:</span>
+ <span class=n>total_unique_elements</span> <span class=o>=</span> <span
class=p>(</span>
+ <span class=n>pipeline</span>
+ <span class=o>|</span> <span class=s1>'Create produce'</span>
<span class=o>>></span> <span class=n>beam</span><span
class=o>.</span><span class=n>Create</span><span class=p>(</span>
+ <span class=p>[</span><span class=s1>'🍓'</span><span
class=p>,</span> <span class=s1>'🥕'</span><span class=p>,</span> <span
class=s1>'🥕'</span><span class=p>,</span> <span
class=s1>'🥕'</span><span class=p>,</span> <span
class=s1>'🍆'</span><span class=p>,</span> <span
class=s1>'🍆'</span><span class=p>,</span> <span
class=s1>'🍅'</span><span class=p>,</span> <span
class=s1>'🍅'</span><span class=p>,</span> <span class= [...]
+ <span class=o>|</span> <span class=s1>'Count unique
elements'</span> <span class=o>>></span> <span
class=n>beam</span><span class=o>.</span><span class=n>combiners</span><span
class=o>.</span><span class=n>Count</span><span class=o>.</span><span
class=n>PerElement</span><span class=p>()</span>
+ <span class=o>|</span> <span class=n>beam</span><span
class=o>.</span><span class=n>Map</span><span class=p>(</span><span
class=k>print</span><span class=p>))</span></code></pre></div></div><p
class=notebook-skip>Output:</p><div
class=notebook-skip><pre><code>('🍓', 1)
+('🥕', 3)
+('🍆', 2)
+('🍅', 3)
+('🌽', 1)</code></pre></div><table align=left style=margin-right:1em
class=.language-py><td><a class=button target=_blank
href=https://github.com/apache/beam/blob/master/sdks/python/apache_beam/examples/snippets/transforms/aggregation/count.py><img
src=https://www.tensorflow.org/images/GitHub-Mark-32px.png width=32px
height=32px alt="View source code"> View source
code</a></td></table><p><br><br><br></p><h2 id=related-transforms>Related
transforms</h2><p>N/A</p><table align=left s [...]
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b/website/generated-content/sitemap.xml
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