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new f21b5e2 Publishing website 2020/12/02 00:01:22 at commit 83ed9ae
f21b5e2 is described below
commit f21b5e2e4e1a7fe4de1a1a7e18cc56e679921a2c
Author: jenkins <[email protected]>
AuthorDate: Wed Dec 2 00:01:22 2020 +0000
Publishing website 2020/12/02 00:01:22 at commit 83ed9ae
---
website/generated-content/documentation/index.xml | 8 ++++
.../documentation/io/developing-io-java/index.html | 3 +-
.../io/developing-io-overview/index.html | 54 +++++++++++++---------
.../io/developing-io-python/index.html | 3 +-
.../documentation/programming-guide/index.html | 4 ++
website/generated-content/sitemap.xml | 2 +-
6 files changed, 49 insertions(+), 25 deletions(-)
diff --git a/website/generated-content/documentation/index.xml
b/website/generated-content/documentation/index.xml
index 4841e74..38831bf 100644
--- a/website/generated-content/documentation/index.xml
+++ b/website/generated-content/documentation/index.xml
@@ -307,6 +307,8 @@ See the License for the specific language governing
permissions and
limitations under the License.
-->
<h1 id="developing-io-connectors-for-java">Developing I/O connectors for
Java</h1>
+<p><strong>IMPORTANT:</strong> Use <code>Splittable DoFn</code>
to develop your new I/O. For more details, read the
+<a href="/documentation/io/developing-io-overview/">new I/O connector
overview</a>.</p>
<p>To connect to a data store that isn’t supported by Beam’s existing I/O
connectors, you must create a custom I/O connector that usually consist of a
source and a sink. All Beam sources and sinks are composite transforms;
however,
@@ -655,6 +657,8 @@ See the License for the specific language governing
permissions and
limitations under the License.
-->
<h1 id="developing-io-connectors-for-python">Developing I/O connectors for
Python</h1>
+<p><strong>IMPORTANT:</strong> Please use <code>Splittable
DoFn</code> to develop your new I/O. For more details, please read
+the <a href="/documentation/io/developing-io-overview/">new I/O connector
overview</a>.</p>
<p>To connect to a data store that isn’t supported by Beam’s existing I/O
connectors, you must create a custom I/O connector that usually consist of a
source and a sink. All Beam sources and sinks are composite transforms;
however,
@@ -7105,6 +7109,10 @@ to annotate the <code>DoFn</code>.</p>
<span class="k">def</span> <span class="nf">process</span><span
class="p">(</span>
<span class="bp">self</span><span class="p">,</span>
<span class="n">file_name</span><span class="p">,</span>
+<span class="c1"># Alternatively, we can let FileToWordsFn itself inherit
from</span>
+<span class="c1"># RestrictionProvider, implement the required methods and
let</span>
+<span class="c1"># tracker=beam.DoFn.RestrictionParam() which will use self
as</span>
+<span class="c1"># the provider.</span>
<span class="n">tracker</span><span class="o">=</span><span
class="n">beam</span><span class="o">.</span><span
class="n">DoFn</span><span class="o">.</span><span
class="n">RestrictionParam</span><span class="p">(</span><span
class="n">FileToWordsRestrictionProvider</span><span
class="p">())):</span>
<span class="k">with</span> <span class="nb">open</span><span
class="p">(</span><span class="n">file_name</span><span
class="p">)</span> <span class="k">as</span> <span
class="n">file_handle</span><span class="p">:</span>
<span class="n">file_handle</span><span class="o">.</span><span
class="n">seek</span><span class="p">(</span><span
class="n">tracker</span><span class="o">.</span><span
class="n">current_restriction</span><span class="o">.</span><span
class="n">start</span><span class="p">())</span>
diff --git
a/website/generated-content/documentation/io/developing-io-java/index.html
b/website/generated-content/documentation/io/developing-io-java/index.html
index e6aacad..495dd2b 100644
--- a/website/generated-content/documentation/io/developing-io-java/index.html
+++ b/website/generated-content/documentation/io/developing-io-java/index.html
@@ -1,7 +1,8 @@
<!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>Apache Beam: Developing I/O
connectors for Java</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 P [...]
<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>< [...]
+<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>< [...]
+<a href=/documentation/io/developing-io-overview/>new I/O connector
overview</a>.</p><p>To connect to a data store that isn’t supported by Beam’s
existing I/O
connectors, you must create a custom I/O connector that usually consist of a
source and a sink. All Beam sources and sinks are composite transforms;
however,
the implementation of your custom I/O depends on your use case. Before you
diff --git
a/website/generated-content/documentation/io/developing-io-overview/index.html
b/website/generated-content/documentation/io/developing-io-overview/index.html
index c507f58..651e577 100644
---
a/website/generated-content/documentation/io/developing-io-overview/index.html
+++
b/website/generated-content/documentation/io/developing-io-overview/index.html
@@ -1,7 +1,7 @@
<!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>Overview: Developing a new
I/O connector</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 [...]
<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>< [...]
+<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>< [...]
the <a href=/documentation/io/built-in/>Built-in I/O
connectors</a></em></p><p>To connect to a data store that isn’t supported by
Beam’s existing I/O
connectors, you must create a custom I/O connector. A connector usually
consists
of a source and a sink. All Beam sources and sinks are composite transforms;
@@ -12,19 +12,18 @@ questions you might have. In addition, you can check if
anyone else is
working on the same I/O connector.</p></li><li><p>If you plan to contribute
your I/O connector to the Beam community, see the
<a href=/contribute/contribution-guide/>Apache Beam contribution
guide</a>.</p></li><li><p>Read the <a
href=/contribute/ptransform-style-guide/>PTransform style guide</a>
for additional style guide recommendations.</p></li></ol><h2
id=sources>Sources</h2><p>For <strong>bounded (batch) sources</strong>, there
are currently two options for creating a
-Beam source:</p><ol><li><p>Use <code>ParDo</code> and
<code>GroupByKey</code>.</p></li><li><p>Use the <code>Source</code> interface
and extend the <code>BoundedSource</code> abstract
subclass.</p></li></ol><p><code>ParDo</code> is the recommended option, as
implementing a <code>Source</code> can be tricky. See
-<a href=#when-to-use-source>When to use the Source interface</a> for a list of
some use
-cases where you might want to use a <code>Source</code> (such as
-<a href=/blog/2016/05/18/splitAtFraction-method.html>dynamic work
rebalancing</a>).</p><p>(Java only) For <strong>unbounded (streaming)
sources</strong>, you must use the <code>Source</code>
-interface and extend the <code>UnboundedSource</code> abstract subclass.
<code>UnboundedSource</code>
-supports features that are useful for streaming pipelines, such as
-checkpointing.</p><p>Splittable DoFn is a new sources framework that is under
development and will
-replace the other options for developing bounded and unbounded sources. For
more
-information, see the
-<a href=/roadmap/connectors-multi-sdk/>roadmap for multi-SDK connector
efforts</a>.</p><h3 id=when-to-use-source>When to use the Source
interface</h3><p>If you are not sure whether to use <code>Source</code>, feel
free to email the <a href=/get-started/support>Beam dev
-mailing list</a> and we can discuss the
-specific pros and cons of your case.</p><p>In some cases, implementing a
<code>Source</code> might be necessary or result in better
-performance:</p><ul><li><p><strong>Unbounded sources:</strong>
<code>ParDo</code> does not work for reading from unbounded
+Beam source:</p><ol><li><p>Use <code>Splittable
DoFn</code>.</p></li><li><p>Use <code>ParDo</code> and
<code>GroupByKey</code>.</p></li></ol><p><code>Splittable DoFn</code> is the
recommended option, as it’s the most recent source framework for both
+bounded and unbounded sources. This is meant to replace the
<code>Source</code> APIs(
+<a
href=https://beam.apache.org/releases/javadoc/current/org/apache/beam/sdk/io/BoundedSource.html>BoundedSource</a>
and
+<a
href=https://beam.apache.org/releases/javadoc/current/org/apache/beam/sdk/io/UnboundedSource.html>UnboundedSource</a>)
+in the new system. Read
+<a href=/learn/programming-guide/#splittable-dofns>Splittable DoFn Programming
Guide</a> for how to write one
+Splittable DoFn. For more information, see the
+<a href=/roadmap/connectors-multi-sdk/>roadmap for multi-SDK connector
efforts</a>.</p><p>For Java and Python <strong>unbounded (streaming)
sources</strong>, you must use the <code>Splittable DoFn</code>, which
+supports features that are useful for streaming pipelines, including
checkpointing, controlling
+watermark, and tracking backlog.</p><h3 id=when-to-use-splittable-dofn>When to
use the Splittable DoFn interface</h3><p>If you are not sure whether to use
<code>Splittable DoFn</code>, feel free to email the
+<a href=/get-started/support>Beam dev mailing list</a> and we can discuss the
specific pros and cons of your
+case.</p><p>In some cases, implementing a <code>Splittable DoFn</code> might
be necessary or result in better performance:</p><ul><li><p><strong>Unbounded
sources:</strong> <code>ParDo</code> does not work for reading from unbounded
sources. <code>ParDo</code> does not support checkpointing or mechanisms like
de-duping
that are useful for streaming data sources.</p></li><li><p><strong>Progress
and size estimation:</strong> <code>ParDo</code> can’t provide hints to
runners about
progress or the size of data they are reading. Without size estimation of the
@@ -34,14 +33,25 @@ allocate workers, it does not have any clues as to how many
workers you might
need for your pipeline.</p></li><li><p><strong>Dynamic work
rebalancing:</strong> <code>ParDo</code> does not support dynamic work
rebalancing, which is used by some readers to improve the processing speed of
jobs. Depending on your data source, dynamic work rebalancing might not be
-possible.</p></li><li><p><strong>Splitting into parts of particular size
recommended by the runner:</strong> <code>ParDo</code>
-does not receive <code>desired_bundle_size</code> as a hint from runners when
performing
-initial splitting.</p></li></ul><p>For example, if you’d like to read
from a new file format that contains many
+possible.</p></li><li><p><strong>Splitting initially to increase
parallelism:</strong> <code>ParDo</code>
+does not have the ability to perform initial splitting.</p></li></ul><p>For
example, if you’d like to read from a new file format that contains many
records per file, or if you’d like to read from a key-value store that
supports
-read operations in sorted key order.</p><h3 id=source>Source
lifecycle</h3><p>Here is a sequence diagram that shows the lifecycle of the
Source during
-the execution of the Read transform of an IO. The comments give useful
-information to IO developers such as the constraints that
-apply to the objects or particular cases such as streaming mode.</p><p><img
src=/images/source-sequence-diagram.svg alt="This is a sequence diagram that
shows the lifecycle of the Source"></p><h3 id=using-pardo-and-groupbykey>Using
ParDo and GroupByKey</h3><p>For data stores or file types where the data can be
read in parallel, you can
+read operations in sorted key order.</p><h3 id=io-examples-using-sdfs>I/O
examples using SDFs</h3><p><strong>Java Examples</strong></p><ul><li><a
href=https://github.com/apache/beam/blob/571338b0cc96e2e80f23620fe86de5c92dffaccc/sdks/java/io/kafka/src/main/java/org/apache/beam/sdk/io/kafka/ReadFromKafkaDoFn.java#L118>Kafka</a>:
+An I/O connector for <a href=https://kafka.apache.org/>Apache Kafka</a>
+(an open-source distributed event streaming platform).</li><li><a
href=https://github.com/apache/beam/blob/571338b0cc96e2e80f23620fe86de5c92dffaccc/sdks/java/core/src/main/java/org/apache/beam/sdk/transforms/Watch.java#L787>Watch</a>:
+Uses a polling function producing a growing set of outputs for each input
until a per-input
+termination condition is met.</li><li><a
href=https://github.com/apache/beam/blob/571338b0cc96e2e80f23620fe86de5c92dffaccc/sdks/java/io/parquet/src/main/java/org/apache/beam/sdk/io/parquet/ParquetIO.java#L365>Parquet</a>:
+An I/O connector for <a href=https://parquet.apache.org/>Apache Parquet</a>
+(an open-source columnar storage format).</li><li><a
href=https://github.com/apache/beam/blob/6fdde4f4eab72b49b10a8bb1cb3be263c5c416b5/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/healthcare/HL7v2IO.java#L493>HL7v2</a>:
+An I/O connector for HL7v2 messages (a clinical messaging format that provides
data about events
+that occur inside an organization) part of
+<a href=https://cloud.google.com/healthcare>Google’s Cloud Healthcare
API</a>.</li><li><a
href=https://github.com/apache/beam/blob/571338b0cc96e2e80f23620fe86de5c92dffaccc/sdks/java/core/src/main/java/org/apache/beam/sdk/io/Read.java#L248>BoundedSource
wrapper</a>:
+A wrapper which converts an existing <a
href=https://beam.apache.org/releases/javadoc/current/org/apache/beam/sdk/io/BoundedSource.html>BoundedSource</a>
+implementation to a splittable DoFn.</li><li><a
href=https://github.com/apache/beam/blob/571338b0cc96e2e80f23620fe86de5c92dffaccc/sdks/java/core/src/main/java/org/apache/beam/sdk/io/Read.java#L432>UnboundedSource
wrapper</a>:
+A wrapper which converts an existing <a
href=https://beam.apache.org/releases/javadoc/current/org/apache/beam/sdk/io/UnboundedSource.html>UnboundedSource</a>
+implementation to a splittable DoFn.</li></ul><p><strong>Python
Examples</strong></p><ul><li><a
href=https://github.com/apache/beam/blob/571338b0cc96e2e80f23620fe86de5c92dffaccc/sdks/python/apache_beam/io/iobase.py#L1375>BoundedSourceWrapper</a>:
+A wrapper which converts an existing <a
href=https://beam.apache.org/releases/pydoc/current/apache_beam.io.iobase.html#apache_beam.io.iobase.BoundedSource>BoundedSource</a>
+implementation to a splittable DoFn.</li></ul><h3
id=using-pardo-and-groupbykey>Using ParDo and GroupByKey</h3><p>For data stores
or file types where the data can be read in parallel, you can
think of the process as a mini-pipeline. This often consists of two
steps:</p><ol><li><p>Splitting the data into parts to be read in
parallel</p></li><li><p>Reading from each of those parts</p></li></ol><p>Each
of those steps will be a <code>ParDo</code>, with a <code>GroupByKey</code> in
between. The
<code>GroupByKey</code> is an implementation detail, but for most runners
<code>GroupByKey</code>
allows the runner to use different numbers of workers in some
situations:</p><ul><li><p>Determining how to split up the data to be read into
chunks</p></li><li><p>Reading data, which often benefits from more
workers</p></li></ul><p>In addition, <code>GroupByKey</code> also allows
dynamic work rebalancing to happen on
@@ -64,7 +74,7 @@ received records to the data store. To develop more complex
sinks (for example,
to support data de-duplication when failures are retried by a runner), use
<code>ParDo</code>, <code>GroupByKey</code>, and other available Beam
transforms.</p><p>For <strong>file-based sinks</strong>, you can use the
<code>FileBasedSink</code> abstraction that is
provided by both the Java and Python SDKs. See our language specific
-implementation guides for more details:</p><ul><li><a
href=/documentation/io/developing-io-java/>Developing I/O connectors for
Java</a></li><li><a href=/documentation/io/developing-io-python/>Developing I/O
connectors for Python</a></li></ul></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__co [...]
+implementation guides for more details:</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</ [...]
<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
logo, and the Apache feather logo are either registered trademarks or
trademarks of The Apache Software Foundation. All other products or name brands
are trademarks of their respective holders, including The Apache Software
Foundation.</div></footer></body></html>
\ No newline at end of file
diff --git
a/website/generated-content/documentation/io/developing-io-python/index.html
b/website/generated-content/documentation/io/developing-io-python/index.html
index 9121fbc..e43269d 100644
--- a/website/generated-content/documentation/io/developing-io-python/index.html
+++ b/website/generated-content/documentation/io/developing-io-python/index.html
@@ -1,7 +1,8 @@
<!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>Apache Beam: Developing I/O
connectors for Python</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 [...]
<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>< [...]
+<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>< [...]
+the <a href=/documentation/io/developing-io-overview/>new I/O connector
overview</a>.</p><p>To connect to a data store that isn’t supported by Beam’s
existing I/O
connectors, you must create a custom I/O connector that usually consist of a
source and a sink. All Beam sources and sinks are composite transforms;
however,
the implementation of your custom I/O depends on your use case. Before you
diff --git
a/website/generated-content/documentation/programming-guide/index.html
b/website/generated-content/documentation/programming-guide/index.html
index edca61c..f469c08 100644
--- a/website/generated-content/documentation/programming-guide/index.html
+++ b/website/generated-content/documentation/programming-guide/index.html
@@ -2835,6 +2835,10 @@ to annotate the <code>DoFn</code>.</p><div
class=language-java><div class=highli
<span class=k>def</span> <span class=nf>process</span><span class=p>(</span>
<span class=bp>self</span><span class=p>,</span>
<span class=n>file_name</span><span class=p>,</span>
+ <span class=c1># Alternatively, we can let FileToWordsFn itself inherit
from</span>
+ <span class=c1># RestrictionProvider, implement the required methods and
let</span>
+ <span class=c1># tracker=beam.DoFn.RestrictionParam() which will use
self as</span>
+ <span class=c1># the provider.</span>
<span class=n>tracker</span><span class=o>=</span><span
class=n>beam</span><span class=o>.</span><span class=n>DoFn</span><span
class=o>.</span><span class=n>RestrictionParam</span><span
class=p>(</span><span class=n>FileToWordsRestrictionProvider</span><span
class=p>())):</span>
<span class=k>with</span> <span class=nb>open</span><span
class=p>(</span><span class=n>file_name</span><span class=p>)</span> <span
class=k>as</span> <span class=n>file_handle</span><span class=p>:</span>
<span class=n>file_handle</span><span class=o>.</span><span
class=n>seek</span><span class=p>(</span><span class=n>tracker</span><span
class=o>.</span><span class=n>current_restriction</span><span
class=o>.</span><span class=n>start</span><span class=p>())</span>
diff --git a/website/generated-content/sitemap.xml
b/website/generated-content/sitemap.xml
index 9662fda..4be5e29 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";
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