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new f71a5aa Publishing website 2020/08/07 18:02:32 at commit f6637f7
f71a5aa is described below
commit f71a5aac36c82b8d1b7fc7fbeede842a27a80269
Author: jenkins <us...@infra.apache.org>
AuthorDate: Fri Aug 7 18:02:32 2020 +0000
Publishing website 2020/08/07 18:02:32 at commit f6637f7
---
.../transforms/python/aggregation/top/index.html | 98 +++++++++++++++++++++-
website/generated-content/sitemap.xml | 2 +-
2 files changed, 96 insertions(+), 4 deletions(-)
diff --git
a/website/generated-content/documentation/transforms/python/aggregation/top/index.html
b/website/generated-content/documentation/transforms/python/aggregation/top/index.html
index 533e0de..2ad5ef6 100644
---
a/website/generated-content/documentation/transforms/python/aggregation/top/index.html
+++
b/website/generated-content/documentation/transforms/python/aggregation/top/index.html
@@ -1,10 +1,102 @@
<!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>Top</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 Languages [...]
<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>Transforms for finding the largest (or smallest)
set of elements in
+<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>Transforms for finding the largest
(or smallest) set of elements in
a collection, or the largest (or smallest) set of values associated
-with each key in a collection of key-value pairs.</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><ul><li><a
href=/documentation/transforms/python/aggregation/sample>Sample</a> to combine
elements. takes samples of the elements in a
collection.</li></ul></div></div><footer class=footer><div
class=footer__contained><div class=footer__cols><div class=footer__cols__c [...]
+with each key in a collection of key-value pairs.</p><h2
id=examples>Examples</h2><p>In the following example, we create a pipeline with
a <code>PCollection</code>.
+Then, we get the largest or smallest elements in different ways.</p><h3
id=example-1-largest-elements-from-a-pcollection>Example 1: Largest elements
from a PCollection</h3><p>We use <code>Top.Largest()</code> to get the largest
elements from the <em>entire</em> <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 [...]
+
+<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>largest_elements</span> <span class=o>=</span> <span
class=p>(</span>
+ <span class=n>pipeline</span>
+ <span class=o>|</span> <span class=s1>'Create numbers'</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=mi>3</span><span class=p>,</span> <span class=mi>4</span><span
class=p>,</span> <span class=mi>1</span><span class=p>,</span> <span
class=mi>2</span><span class=p>])</span>
+ <span class=o>|</span> <span class=s1>'Largest N values'</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>Top</span><span class=o>.</span><span class=n>Largest</span><span
class=p>(</span><span class=mi>2</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>[4,
3]</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/aggreg
[...]
+
+<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>largest_elements_per_key</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=mi>3</span><span class=p>),</span>
+ <span class=p>(</span><span class=s1>'🥕'</span><span
class=p>,</span> <span class=mi>2</span><span class=p>),</span>
+ <span class=p>(</span><span class=s1>'🍆'</span><span
class=p>,</span> <span class=mi>1</span><span class=p>),</span>
+ <span class=p>(</span><span class=s1>'🍅'</span><span
class=p>,</span> <span class=mi>4</span><span class=p>),</span>
+ <span class=p>(</span><span class=s1>'🍅'</span><span
class=p>,</span> <span class=mi>5</span><span class=p>),</span>
+ <span class=p>(</span><span class=s1>'🍅'</span><span
class=p>,</span> <span class=mi>3</span><span class=p>),</span>
+ <span class=p>])</span>
+ <span class=o>|</span> <span class=s1>'Largest N values 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>Top</span><span class=o>.</span><span class=n>LargestPerKey</span><span
class=p>(</span><span class=mi>2</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>('🥕', [3, 2])
+('🍆', [1])
+('🍅', [5, 4])</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/top.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-smallest-elements-from-a-pcollection>Example 3: Smallest e [...]
+
+<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>smallest_elements</span> <span class=o>=</span> <span
class=p>(</span>
+ <span class=n>pipeline</span>
+ <span class=o>|</span> <span class=s1>'Create numbers'</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=mi>3</span><span class=p>,</span> <span class=mi>4</span><span
class=p>,</span> <span class=mi>1</span><span class=p>,</span> <span
class=mi>2</span><span class=p>])</span>
+ <span class=o>|</span> <span class=s1>'Smallest N values'</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>Top</span><span class=o>.</span><span class=n>Smallest</span><span
class=p>(</span><span class=mi>2</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,
2]</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/aggreg
[...]
+
+<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>smallest_elements_per_key</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=mi>3</span><span class=p>),</span>
+ <span class=p>(</span><span class=s1>'🥕'</span><span
class=p>,</span> <span class=mi>2</span><span class=p>),</span>
+ <span class=p>(</span><span class=s1>'🍆'</span><span
class=p>,</span> <span class=mi>1</span><span class=p>),</span>
+ <span class=p>(</span><span class=s1>'🍅'</span><span
class=p>,</span> <span class=mi>4</span><span class=p>),</span>
+ <span class=p>(</span><span class=s1>'🍅'</span><span
class=p>,</span> <span class=mi>5</span><span class=p>),</span>
+ <span class=p>(</span><span class=s1>'🍅'</span><span
class=p>,</span> <span class=mi>3</span><span class=p>),</span>
+ <span class=p>])</span>
+ <span class=o>|</span> <span class=s1>'Smallest N values 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>Top</span><span class=o>.</span><span
class=n>SmallestPerKey</span><span class=p>(</span><span class=mi>2</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>('🥕', [2, 3])
+('🍆', [1])
+('🍅', [3, 4])</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/top.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-5-custom-elements-from-a-pcollection>Example 5: Custom eleme [...]
+By default you get the largest elements, but you can get the smallest by
setting <code>reverse=True</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>shortest_elements</span> <span class=o>=</span> <span
class=p>(</span>
+ <span class=n>pipeline</span>
+ <span class=o>|</span> <span class=s1>'Create produce
names'</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=s1>'🍓 Strawberry'</span><span class=p>,</span>
+ <span class=s1>'🥕 Carrot'</span><span class=p>,</span>
+ <span class=s1>'🍏 Green apple'</span><span class=p>,</span>
+ <span class=s1>'🍆 Eggplant'</span><span class=p>,</span>
+ <span class=s1>'🌽 Corn'</span><span class=p>,</span>
+ <span class=p>])</span>
+ <span class=o>|</span> <span class=s1>'Shortest names'</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>Top</span><span class=o>.</span><span class=n>Of</span><span
class=p>(</span>
+ <span class=mi>2</span><span class=p>,</span> <span
class=c1># number of elements</span>
+ <span class=n>key</span><span class=o>=</span><span
class=nb>len</span><span class=p>,</span> <span class=c1># optional,
defaults to the element itself</span>
+ <span class=n>reverse</span><span class=o>=</span><span
class=bp>True</span><span class=p>,</span> <span class=c1># optional, defaults
to False (largest/descending)</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>
+ <span class=p>)</span></code></pre></div></div><p
class=notebook-skip>Output:</p><div class=notebook-skip><pre><code>['🌽
Corn', '🥕 Carrot']</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/top.py><img
src=https://www.tensorflow.org/images/GitHub-Mark-32px.png width=32px
height=32px alt="View sourc [...]
+By default you get the largest elements, but you can get the smallest by
setting <code>reverse=True</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>shortest_elements_per_key</span> <span class=o>=</span> <span
class=p>(</span>
+ <span class=n>pipeline</span>
+ <span class=o>|</span> <span class=s1>'Create produce
names'</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>'🥕 Carrot'</span><span class=p>),</span>
+ <span class=p>(</span><span class=s1>'spring'</span><span
class=p>,</span> <span class=s1>'🍓 Strawberry'</span><span
class=p>),</span>
+ <span class=p>(</span><span class=s1>'summer'</span><span
class=p>,</span> <span class=s1>'🥕 Carrot'</span><span class=p>),</span>
+ <span class=p>(</span><span class=s1>'summer'</span><span
class=p>,</span> <span class=s1>'🌽 Corn'</span><span class=p>),</span>
+ <span class=p>(</span><span class=s1>'summer'</span><span
class=p>,</span> <span class=s1>'🍏 Green apple'</span><span
class=p>),</span>
+ <span class=p>(</span><span class=s1>'fall'</span><span
class=p>,</span> <span class=s1>'🥕 Carrot'</span><span class=p>),</span>
+ <span class=p>(</span><span class=s1>'fall'</span><span
class=p>,</span> <span class=s1>'🍏 Green apple'</span><span
class=p>),</span>
+ <span class=p>(</span><span class=s1>'winter'</span><span
class=p>,</span> <span class=s1>'🍆 Eggplant'</span><span
class=p>),</span>
+ <span class=p>])</span>
+ <span class=o>|</span> <span class=s1>'Shortest names 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>Top</span><span class=o>.</span><span class=n>PerKey</span><span
class=p>(</span>
+ <span class=mi>2</span><span class=p>,</span> <span
class=c1># number of elements</span>
+ <span class=n>key</span><span class=o>=</span><span
class=nb>len</span><span class=p>,</span> <span class=c1># optional,
defaults to the value itself</span>
+ <span class=n>reverse</span><span class=o>=</span><span
class=bp>True</span><span class=p>,</span> <span class=c1># optional, defaults
to False (largest/descending)</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>
+ <span class=p>)</span></code></pre></div></div><p
class=notebook-skip>Output:</p><div
class=notebook-skip><pre><code>('spring', ['🥕 Carrot', '🍓
Strawberry'])
+('summer', ['🌽 Corn', '🥕 Carrot'])
+('fall', ['🥕 Carrot', '🍏 Green apple'])
+('winter', ['🍆 Eggplant'])</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/top.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><ul>< [...]
+Pydoc</a></td></table><p><br><br><br></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"></div><div
class=footer__cols__col__logo><img src=/images/apache_logo_circle.svg
class=footer__logo alt="Apache logo"></div></div><div class="footer__cols__col
footer__cols__col--md"><div class=footer__cols__col__title>Start</di [...]
<a href=http://www.apache.org>The Apache Software Foundation</a>
| <a href=/privacy_policy>Privacy Policy</a>
| <a href=/feed.xml>RSS Feed</a><br><br>Apache Beam, Apache, Beam, the Beam
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diff --git a/website/generated-content/sitemap.xml
b/website/generated-content/sitemap.xml
index 2143d73..deee6a5 100644
--- a/website/generated-content/sitemap.xml
+++ b/website/generated-content/sitemap.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><urlset
xmlns="http://www.sitemaps.org/schemas/sitemap/0.9";
xmlns:xhtml="http://www.w3.org/1999/xhtml";><url><loc>/blog/beam-2.23.0/</loc><lastmod>2020-07-29T14:52:28-07:00</lastmod></url><url><loc>/categories/blog/</loc><lastmod>2020-07-29T14:52:28-07:00</lastmod></url><url><loc>/blog/</loc><lastmod>2020-07-29T14:52:28-07:00</lastmod></url><url><loc>/categories/</loc><lastmod>2020-07-29T14:52:28-07:00</lastmod></url><url><loc>/blog/b
[...]
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><urlset
xmlns="http://www.sitemaps.org/schemas/sitemap/0.9";
xmlns:xhtml="http://www.w3.org/1999/xhtml";><url><loc>/blog/beam-2.23.0/</loc><lastmod>2020-07-29T14:52:28-07:00</lastmod></url><url><loc>/categories/blog/</loc><lastmod>2020-07-29T14:52:28-07:00</lastmod></url><url><loc>/blog/</loc><lastmod>2020-07-29T14:52:28-07:00</lastmod></url><url><loc>/categories/</loc><lastmod>2020-07-29T14:52:28-07:00</lastmod></url><url><loc>/blog/b
[...]
\ No newline at end of file
