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| <h2>apache-beam</h2></div> |
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| |
| <a href="#typescript-beam-sdk" id="typescript-beam-sdk" style="color: inherit; text-decoration: none;"> |
| <h1>TypeScript Beam SDK</h1> |
| </a> |
| <p>A library for writing <a href="https://beam.apache.org/">Apache Beam</a> |
| pipelines in Typescript.</p> |
| <p>As well as being a fully-functioning SDK, it serves as a cleaner, more modern |
| template for building SDKs in other languages |
| (see README-dev.md for more details).</p> |
| |
| <a href="#getting-started" id="getting-started" style="color: inherit; text-decoration: none;"> |
| <h2>Getting started</h2> |
| </a> |
| <p>The Typescript SDK can be installed with</p> |
| <pre><code><span class="hl-0">npm</span><span class="hl-1"> </span><span class="hl-0">install</span><span class="hl-1"> </span><span class="hl-0">apache_beam</span> |
| </code></pre> |
| <p>Due to its extensive use of cross-language transforms, it is recommended that |
| Python 3 and Java be available on the system as well.</p> |
| <p>A fully working setup is provided as a clonable |
| <a href="https://github.com/apache/beam-starter-typescript">starter project on github</a>.</p> |
| |
| <a href="#running-a-pipeline" id="running-a-pipeline" style="color: inherit; text-decoration: none;"> |
| <h3>Running a pipeline</h3> |
| </a> |
| <p>Beam pipelines can be run on a variety of |
| <a href="https://beam.apache.org/documentation/#runners">runners</a>. |
| The typical way to create a runner is with |
| <code>beam.runners.runner.create_runner({runner: "runnerType", ...})</code>, |
| as seen in the <a href="https://github.com/apache/beam/blob/master/sdks/typescript/src/apache_beam/examples/wordcount.ts">wordcount example</a>.</p> |
| <p>After building, to run locally one can execute:</p> |
| <pre><code><span class="hl-0">node</span><span class="hl-1"> </span><span class="hl-0">path</span><span class="hl-1">/</span><span class="hl-0">to</span><span class="hl-1">/</span><span class="hl-0">main</span><span class="hl-1">.</span><span class="hl-0">js</span><span class="hl-1"> --</span><span class="hl-0">runner</span><span class="hl-1">=</span><span class="hl-0">direct</span> |
| </code></pre> |
| <p>To run against Flink, where the local infrastructure is automatically |
| downloaded and set up:</p> |
| <pre><code><span class="hl-0">node</span><span class="hl-1"> </span><span class="hl-0">path</span><span class="hl-1">/</span><span class="hl-0">to</span><span class="hl-1">/</span><span class="hl-0">main</span><span class="hl-1">.</span><span class="hl-0">js</span><span class="hl-1"> --</span><span class="hl-0">runner</span><span class="hl-1">=</span><span class="hl-0">flink</span> |
| </code></pre> |
| <p>To run on Dataflow:</p> |
| <pre><code><span class="hl-0">node</span><span class="hl-1"> </span><span class="hl-0">path</span><span class="hl-1">/</span><span class="hl-0">to</span><span class="hl-1">/</span><span class="hl-0">main</span><span class="hl-1">.</span><span class="hl-0">js</span><span class="hl-1"> \</span><br/><span class="hl-1"> --</span><span class="hl-0">runner</span><span class="hl-1">=</span><span class="hl-0">dataflow</span><span class="hl-1"> \</span><br/><span class="hl-1"> --</span><span class="hl-0">project</span><span class="hl-1">=</span><span class="hl-0">$</span><span class="hl-1">{</span><span class="hl-2">PROJECT_ID</span><span class="hl-1">} \</span><br/><span class="hl-1"> --</span><span class="hl-0">tempLocation</span><span class="hl-1">=</span><span class="hl-3">gs</span><span class="hl-1">:</span><span class="hl-4">//${GCS_BUCKET}/wordcount-js/temp --region=${REGION}</span> |
| </code></pre> |
| |
| <a href="#api" id="api" style="color: inherit; text-decoration: none;"> |
| <h2>API</h2> |
| </a> |
| <p>We generally try to apply the concepts from the Beam API in a TypeScript |
| idiomatic way, but it should be noted that few of the initial developers |
| have extensive (if any) JavaScript/TypeScript development experience, so |
| feedback is greatly appreciated.</p> |
| <p>In addition, some notable departures are taken from the traditional SDKs:</p> |
| <ul> |
| <li><p>We take a "relational foundations" approach, where |
| <a href="https://docs.google.com/document/d/1tnG2DPHZYbsomvihIpXruUmQ12pHGK0QIvXS1FOTgRc/edit#heading=h.puuotbien1gf">schema'd data</a> |
| is the primary way to interact with data, and we generally eschew the key-value |
| requiring transforms in favor of a more flexible approach naming fields or |
| expressions. JavaScript's native Object is used as the row type.</p> |
| </li> |
| <li><p>As part of being schema-first we also de-emphasize Coders as a first-class |
| concept in the SDK, relegating it to an advanced feature used for interop. |
| Though we can infer schemas from individual elements, it is still TBD to |
| figure out if/how we can leverage the type system and/or function introspection |
| to regularly infer schemas at construction time. A fallback coder using BSON |
| encoding is used when we don't have sufficient type information.</p> |
| </li> |
| <li><p>We have added additional methods to the PCollection object, notably <code>map</code> |
| and <code>flatmap</code>, <a href="https://www.mail-archive.com/dev@beam.apache.org/msg06035.html">rather than only allowing apply</a>. |
| In addition, <code>apply</code> can accept a function argument <code>(PCollection) => ...</code> as |
| well as a PTransform subclass, which treats this callable as if it were a |
| PTransform's expand.</p> |
| </li> |
| <li><p>In the other direction, we have eliminated the |
| <a href="https://s.apache.org/no-beam-pipeline">problematic Pipeline object</a> |
| from the API, instead providing a <code>Root</code> PValue on which pipelines are built, |
| and invoking run() on a Runner. We offer a less error-prone <code>Runner.run</code> |
| which finishes only when the pipeline is completely finished as well as |
| <code>Runner.runAsync</code> which returns a handle to the running pipeline.</p> |
| </li> |
| <li><p>Rather than introduce PCollectionTuple, PCollectionList, etc. we let PValue |
| literally be an |
| <a href="https://github.com/robertwb/beam-javascript/blob/de4390dd767f046903ac23fead5db333290462db/sdks/node-ts/src/apache_beam/pvalue.ts#L116">array or object with PValue values</a> |
| which transforms can consume or produce. |
| These are applied by wrapping them with the <code>P</code> operator, e.g. |
| <code>P([pc1, pc2, pc3]).apply(new Flatten())</code>.</p> |
| </li> |
| <li><p>Like Python, <code>flatMap</code> and <code>ParDo.process</code> return multiple elements by |
| yielding them from a generator, rather than invoking a passed-in callback. |
| TBD how to output to multiple distinct PCollections. |
| There is currently an operation to split a PCollection into multiple |
| PCollections based on the properties of the elements, and |
| we may consider using a callback for side outputs.</p> |
| </li> |
| <li><p>The <code>map</code>, <code>flatMap</code>, and <code>ParDo.process</code> methods take an additional |
| (optional) context argument, which is similar to the keyword arguments |
| used in Python. These are javascript objects whose members may be constants |
| (which are passed as is) or special DoFnParam objects which provide getters to |
| element-specific information (such as the current timestamp, window, |
| or side input) at runtime.</p> |
| </li> |
| <li><p>Rather than introduce multiple-output complexity into the map/do operations |
| themselves, producing multiple outputs is done by following with a new |
| <code>Split</code> primitive that takes a |
| <code>PCollection<{a?: AType, b: BType, ... }></code> and produces an object |
| <code>{a: PCollection<AType>, b: PCollection<BType>, ...}</code>.</p> |
| </li> |
| <li><p>JavaScript supports (and encourages) an asynchronous programing model, with |
| many libraries requiring use of the async/await paradigm. |
| As there is no way (by design) to go from the asynchronous style back to |
| the synchronous style, this needs to be taken into account |
| when designing the API. |
| We currently offer asynchronous variants of <code>PValue.apply(...)</code> (in addition |
| to the synchronous ones, as they are easier to chain) as well as making |
| <code>Runner.run</code> asynchronous. TBD to do this for all user callbacks as well.</p> |
| </li> |
| </ul> |
| <p>An example pipeline can be found at <a href="https://github.com/apache/beam/blob/master/sdks/typescript/src/apache_beam/examples/wordcount.ts">https://github.com/apache/beam/blob/master/sdks/typescript/src/apache_beam/examples/wordcount.ts</a> |
| and more documentation can be found in the <a href="https://beam.apache.org/documentation/programming-guide/">beam programming guide</a>.</p> |
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