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class="sidebar_re4s thin-scrollbar" aria-label="Blog recent posts navigation"><div class="sidebarItemTitle_pO2u margin-bottom--md">All our posts</div><ul class="sidebarItemList_Yudw clean-list"><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/wayang-tensorflow">Integrating ML platforms in Wayang</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/wayang-federated-ai">Wayang and the Federated AI</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/wayang-python-api">Pywayang - Apache Wayang&#x27;s Python API</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/kafka-meets-wayang-3">Apache Kafka meets Apache Wayang - Part 3</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/wayang-vs-trino">Apache Wayang vs. Presto/Trino</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/kafka-meets-wayang-2">Apache Kafka meets Apache Wayang - Part 2</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/kafka-meets-wayang-1">Apache Kafka meets Apache Wayang - Part 1</a></li><li class="sidebarItem__DBe"><a class="sidebarItemLink_mo7H" href="/blog/website_update">Website updated</a></li></ul></nav></aside><main class="col col--7" itemscope="" itemtype="https://schema.org/Blog"><header class="margin-bottom--xl"><h1>One post tagged with &quot;python&quot;</h1><a href="/blog/tags">View All Tags</a></header><article class="margin-bottom--xl" itemprop="blogPost" itemscope="" itemtype="https://schema.org/BlogPosting"><meta itemprop="description" content="In the vast landscape of data processing, efficiency and flexibility are"><header><h2 class="title_f1Hy" itemprop="headline"><a itemprop="url" href="/blog/wayang-python-api">Pywayang - Apache Wayang&#x27;s Python API</a></h2><div class="container_mt6G margin-vert--md"><time datetime="2024-04-09T00:00:00.000Z" itemprop="datePublished">April 9, 2024</time> · <!-- -->4 min read</div><div class="margin-top--md margin-bottom--sm row"><div class="col col--6 authorCol_Hf19"><div class="avatar margin-bottom--sm"><a href="https://github.com/juripetersen" target="_blank" rel="noopener noreferrer" class="avatar__photo-link"><img class="avatar__photo" src="https://avatars.githubusercontent.com/u/43411515?v=4" alt="Juri Petersen" itemprop="image"></a><div class="avatar__intro" itemprop="author" itemscope="" itemtype="https://schema.org/Person"><div class="avatar__name"><a href="https://github.com/juripetersen" target="_blank" rel="noopener noreferrer" itemprop="url"><span itemprop="name">Juri Petersen</span></a></div><small class="avatar__subtitle" itemprop="description">Apache Committer</small></div></div></div></div></header><div class="markdown" itemprop="articleBody"><p>In the vast landscape of data processing, efficiency and flexibility are
important. However, navigating through a multitude of tools and
languages often is a major inconvenience.
Apache Wayang&#x27;s upcoming Python API will allow you to seamlessly
orchestrate data processing tasks without ever leaving the comfort
of Python, irrespective of the underlying framework written in Java.</p>
<h2 class="anchor anchorWithStickyNavbar_LWe7" id="expanding-apache-wayangs-apis">Expanding Apache Wayang&#x27;s APIs<a href="#expanding-apache-wayangs-apis" class="hash-link" aria-label="Direct link to Expanding Apache Wayang&#x27;s APIs" title="Direct link to Expanding Apache Wayang&#x27;s APIs"></a></h2>
<p>Apache Wayang&#x27;s architecture decouples the process of planning from the
resulting execution, allowing users to specify platform agnostic plans
through the provided APIs.</p>
<br>
<img width="75%" alt="wayang stack" src="/img/architecture/wayang-stack.png">
<br>
<br>
<p>Python&#x27;s popularity and convenience for data
processing workloads makes it an obvious candidate for a desired API.
Previous APIs, such as the Scala API <code>wayang-api-scala-java</code> benefited
from the interoperability of Java and Scala that allows to reuse objects
from other languages to provide new interfaces. Accessing JVM objects in
Python is possible through several libraries, but in doing so,
future APIs in other programming languages would need similar libraries and
implementations in order to exist. As a contrast to that, providing an
API within Apache Wayang that receives input plans from any source and
executes them within allows to create plans and submit them in any
programming language. The following figure shows the architecture of <code>pywayang</code>:</p>
<br>
<img width="75%" alt="pywayang stack" src="/img/architecture/pywayang.png">
<br>
<br>
<p>The Python API allows users to specify WayangPlans with UDFs in Python.
<code>pywayang</code> then serializes the UDFs and constructs the WayangPlan in
JSON format, preparing it to be sent to Apache Wayang&#x27;s JSON API.
When receiving a valid JSON plan, the JSON API uses the optimizer to
construct an execution plan. However, since UDFs are defined in Python
and thus need to be executed in Python as well, an operators function needs to be
wrapped into a <code>WrappedPythonFunction</code>:</p>
<div class="language-scala codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-scala codeBlock_bY9V thin-scrollbar" style="color:#393A34;background-color:#f6f8fa"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token keyword" style="color:#00009f">val</span><span class="token plain"> mapOperator </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> </span><span class="token keyword" style="color:#00009f">new</span><span class="token plain"> MapPartitionsOperator</span><span class="token punctuation" style="color:#393A34">[</span><span class="token plain">Input</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> Output</span><span class="token punctuation" style="color:#393A34">]</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"> </span><span class="token keyword" style="color:#00009f">new</span><span class="token plain"> MapPartitionsDescriptor</span><span class="token punctuation" style="color:#393A34">[</span><span class="token plain">Input</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> Output</span><span class="token punctuation" style="color:#393A34">]</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"> </span><span class="token keyword" style="color:#00009f">new</span><span class="token plain"> WrappedPythonFunction</span><span class="token punctuation" style="color:#393A34">[</span><span class="token plain">Input</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> Output</span><span class="token punctuation" style="color:#393A34">]</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"> ByteString</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">copyFromUtf8</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">udf</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"> </span><span class="token punctuation" style="color:#393A34">)</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"> classOf</span><span class="token punctuation" style="color:#393A34">[</span><span class="token plain">Input</span><span class="token punctuation" style="color:#393A34">]</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"> classOf</span><span class="token punctuation" style="color:#393A34">[</span><span class="token plain">Output</span><span class="token punctuation" style="color:#393A34">]</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"> </span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token punctuation" style="color:#393A34">)</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div>
<p>This wrapped functional descriptor allows to handle execution of
UDFs in Python through a socket connection with the <code>pywayang</code> worker.
Input data is sourced from the platform chosen by the optimizer and Apache
Wayang handles routing the output data to the next operator.</p>
<br>
<p>A new API in any programming languages would have
to specify two things:</p>
<ul>
<li>A way to create plans that conform to a JSON format specified in the
Wayang JSON API.</li>
<li>A <code>worker</code> that handles encoding and decoding of user defined
functions (UDFs), as they need to
be executed on iterables in their respective language.
After that, the API can be added as a module in Wayang, so that
operators will be wrapped and UDFs can be executed in the desired
programming language.</li>
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