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| <div class="col-sm-10 col-sm-offset-1"> |
| |
| <!-- --------------------------------------------- --> |
| <!-- Streaming |
| <!-- --------------------------------------------- --> |
| |
| <hr /> |
| |
| <div class="row" style="padding: 0 0 0 0"> |
| <div class="col-sm-12" style="text-align: center;"> |
| <h1><b>Streaming</b></h1> |
| </div> |
| </div> |
| |
| <hr /> |
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| <!-- High Performance --> |
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| <h1 id="performance"><i>High Performance</i></h1> |
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| <p class="lead">Flink's data streaming runtime achieves high throughput rates and low latencies with little configuration.</p> |
| </div> |
| </div> |
| <div class="row" style="padding: 0 0 2em 0"> |
| <div class="col-sm-12 img-column"> |
| <img src="/img/features/streaming_performance.png" alt="Performance of data streaming applications" style="width:75%" /> |
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| <hr /> |
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| <!-- Exactly-once Semantics --> |
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| <h1 id="exactly_once"><i>Exactly-once Semantics for Stateful Computations</i></h1> |
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| </div> |
| <div class="row"> |
| <div class="col-sm-6"> |
| <p class="lead">Streaming applications can maintain custom state during their computation.</p> |
| <p class="lead">Flink's checkpointing mechanism ensures <i>exactly once</i> semantics for the state in the presence of failures.</p> |
| </div> |
| <div class="col-sm-6 img-column"> |
| <img src="/img/features/exactly_once_state.png" alt="Exactly-once Semantics for Stateful Computations" style="width:50%" /> |
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| </div> |
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| <hr /> |
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| <!-- Continuous streaming --> |
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| <h1 id="streaming_model"><i>Continuous Streaming Model with Flow Control</i></h1> |
| </div> |
| </div> |
| |
| <div class="row"> |
| <div class="col-sm-6"> |
| <p class="lead">Data streaming applications are executed with continuous (long lived) operators.</p> |
| <p class="lead">Flink's streaming runtime has natural flow control: Slow downstream operators backpressure faster upstream operators.</p> |
| </div> |
| <div class="col-sm-6 img-column"> |
| <img src="/img/features/continuous_streams.png" alt="Continuous Streaming Model" style="width:60%" /> |
| </div> |
| </div> |
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| <hr /> |
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| <!-- Lightweight distributed snapshots --> |
| <div class="row" style="padding: 0 0 2em 0"> |
| <div class="col-sm-12"> |
| <h1 id="snapshots"><i>Fault-tolerance via Lightweight Distributed Snapshots</i></h1> |
| </div> |
| </div> |
| <div class="row"> |
| <div class="col-sm-6"> |
| <p class="lead">Flink's fault tolerance mechanism is based on Chandy-Lamport distributed snapshots.</p> |
| <p class="lead">The mechanism is lightweight, allowing the system to maintain high throughput rates and provide strong consistency guarantees at the same time.</p> |
| </div> |
| <div class="col-sm-6 img-column"> |
| <img src="/img/features/distributed_snapshots.png" alt="Lightweight Distributed Snapshots" style="width:40%" /> |
| </div> |
| </div> |
| |
| <hr /> |
| |
| <!-- --------------------------------------------- --> |
| <!-- Batch |
| <!-- --------------------------------------------- --> |
| |
| <div class="row" style="padding: 0 0 0 0"> |
| <div class="col-sm-12" style="text-align: center;"> |
| <h1><b>Batch and Streaming in One System</b></h1> |
| </div> |
| </div> |
| |
| <hr /> |
| |
| <!-- One Runtime for Streaming and Batch Processing --> |
| <div class="row" style="padding: 0 0 2em 0"> |
| <div class="col-sm-12"> |
| <h1 id="one_runtime"><i>One Runtime for Streaming and Batch Processing</i></h1> |
| </div> |
| </div> |
| <div class="row"> |
| <div class="col-sm-6"> |
| <p class="lead">Flink uses one common runtime for data streaming applications and batch processing applications.</p> |
| <p class="lead">Batch processing applications run efficiently as special cases of stream processing applications.</p> |
| </div> |
| <div class="col-sm-6 img-column"> |
| <img src="/img/features/one_runtime.png" alt="Unified Runtime for Batch and Stream Data Analysis" style="width:50%" /> |
| </div> |
| </div> |
| |
| <hr /> |
| |
| <!-- Memory Management --> |
| <div class="row" style="padding: 0 0 2em 0"> |
| <div class="col-sm-12"> |
| <h1 id="memory_management"><i>Memory Management</i></h1> |
| </div> |
| </div> |
| <div class="row"> |
| <div class="col-sm-6"> |
| <p class="lead">Flink implements its own memory management inside the JVM.</p> |
| <p class="lead">Applications scale to data sizes beyond main memory and experience less garbage collection overhead.</p> |
| </div> |
| <div class="col-sm-6 img-column"> |
| <img src="/img/features/memory_heap_division.png" alt="Managed JVM Heap" style="width:50%" /> |
| </div> |
| </div> |
| |
| <hr /> |
| |
| <!-- Iterations --> |
| <div class="row" style="padding: 0 0 2em 0"> |
| <div class="col-sm-12"> |
| <h1 id="iterations"><i>Iterations and Delta Iterations</i></h1> |
| </div> |
| </div> |
| <div class="row"> |
| <div class="col-sm-6"> |
| <p class="lead">Flink has dedicated support for iterative computations (as in machine learning and graph analysis).</p> |
| <p class="lead">Delta iterations can exploit computational dependencies for faster convergence.</p> |
| </div> |
| <div class="col-sm-6 img-column"> |
| <img src="/img/features/iterations.png" alt="Performance of iterations and delta iterations" style="width:75%" /> |
| </div> |
| </div> |
| |
| <hr /> |
| |
| <!-- Optimizer --> |
| <div class="row" style="padding: 0 0 2em 0"> |
| <div class="col-sm-12"> |
| <h1 id="optimizer"><i>Program Optimizer</i></h1> |
| </div> |
| </div> |
| <div class="row"> |
| <div class="col-sm-6"> |
| <p class="lead">Batch programs are automatically optimized to exploit situations where expensive operations (like shuffles and sorts) can be avoided, and when intermediate data should be cached.</p> |
| </div> |
| <div class="col-sm-6 img-column"> |
| <img src="/img/features/optimizer_choice.png" alt="Optimizer choosing between different execution strategies" style="width:100%" /> |
| </div> |
| </div> |
| |
| <hr /> |
| |
| <!-- --------------------------------------------- --> |
| <!-- APIs and Libraries |
| <!-- --------------------------------------------- --> |
| |
| <div class="row" style="padding: 0 0 0 0"> |
| <div class="col-sm-12" style="text-align: center;"> |
| <h1><b>APIs and Libraries</b></h1> |
| </div> |
| </div> |
| |
| <hr /> |
| |
| <!-- Batch Processing API --> |
| <div class="row" style="padding: 0 0 2em 0"> |
| <div class="col-sm-12"> |
| <h1 id="batch_api"><i>Batch Processing Applications</i></h1> |
| </div> |
| </div> |
| <div class="row"> |
| <div class="col-sm-5"> |
| <p class="lead">Flink's <i>DataSet</i> API lets you write beautiful type-safe and maintainable code in Java or Scala. It supports a wide range of data types beyond key/value pairs, and a wealth of operators.</p> |
| <p class="lead">The example shows the core loop of the PageRank algorithm for graphs.</p> |
| </div> |
| <div class="col-sm-7"> |
| |
| <div class="highlight"><pre><code class="language-scala" data-lang="scala"><span class="k">case</span> <span class="k">class</span> <span class="nc">Page</span><span class="o">(</span><span class="n">pageId</span><span class="k">:</span> <span class="kt">Long</span><span class="o">,</span> <span class="n">rank</span><span class="k">:</span> <span class="kt">Double</span><span class="o">)</span> |
| <span class="k">case</span> <span class="k">class</span> <span class="nc">Adjacency</span><span class="o">(</span><span class="n">id</span><span class="k">:</span> <span class="kt">Long</span><span class="o">,</span> <span class="n">neighbors</span><span class="k">:</span> <span class="kt">Array</span><span class="o">[</span><span class="kt">Long</span><span class="o">])</span> |
| |
| <span class="k">val</span> <span class="n">result</span> <span class="k">=</span> <span class="n">initialRanks</span><span class="o">.</span><span class="n">iterate</span><span class="o">(</span><span class="mi">30</span><span class="o">)</span> <span class="o">{</span> <span class="n">pages</span> <span class="k">=></span> |
| <span class="n">pages</span><span class="o">.</span><span class="n">join</span><span class="o">(</span><span class="n">adjacency</span><span class="o">).</span><span class="n">where</span><span class="o">(</span><span class="s">"pageId"</span><span class="o">).</span><span class="n">equalTo</span><span class="o">(</span><span class="s">"pageId"</span><span class="o">)</span> <span class="o">{</span> |
| |
| <span class="o">(</span><span class="n">page</span><span class="o">,</span> <span class="n">adj</span><span class="o">,</span> <span class="n">out</span> <span class="k">:</span> <span class="kt">Collector</span><span class="o">[</span><span class="kt">Page</span><span class="o">])</span> <span class="k">=></span> <span class="o">{</span> |
| <span class="n">out</span><span class="o">.</span><span class="n">collect</span><span class="o">(</span><span class="nc">Page</span><span class="o">(</span><span class="n">page</span><span class="o">.</span><span class="n">id</span><span class="o">,</span> <span class="mf">0.15</span> <span class="o">/</span> <span class="n">numPages</span><span class="o">))</span> |
| |
| <span class="k">for</span> <span class="o">(</span><span class="n">n</span> <span class="k"><-</span> <span class="n">adj</span><span class="o">.</span><span class="n">neighbors</span><span class="o">)</span> <span class="o">{</span> |
| <span class="n">out</span><span class="o">.</span><span class="n">collect</span><span class="o">(</span><span class="nc">Page</span><span class="o">(</span><span class="n">n</span><span class="o">,</span> <span class="mf">0.85</span><span class="o">*</span><span class="n">page</span><span class="o">.</span><span class="n">rank</span><span class="o">/</span><span class="n">adj</span><span class="o">.</span><span class="n">neighbors</span><span class="o">.</span><span class="n">length</span><span class="o">))</span> |
| <span class="o">}</span> |
| <span class="o">}</span> |
| <span class="o">}</span> |
| <span class="o">.</span><span class="n">groupBy</span><span class="o">(</span><span class="s">"pageId"</span><span class="o">).</span><span class="n">sum</span><span class="o">(</span><span class="s">"rank"</span><span class="o">)</span> |
| <span class="o">}</span></code></pre></div> |
| |
| </div> |
| </div> |
| |
| <hr /> |
| |
| <!-- Data Streaming API --> |
| <div class="row" style="padding: 0 0 2em 0"> |
| <div class="col-sm-12"> |
| <h1 id="streaming_api"><i>Streaming Data Applications</i></h1> |
| </div> |
| </div> |
| <div class="row"> |
| <div class="col-sm-5"> |
| <p class="lead">The <i>DataStream</i> API supports functional transformations on data streams, with user-defined state, and flexible windows.</p> |
| <p class="lead">The example shows how to compute a sliding histogram of word occurrences of a data stream of texts.</p> |
| </div> |
| <div class="col-sm-7"> |
| <p class="lead">WindowWordCount in Flink's DataStream API</p> |
| |
| <div class="highlight"><pre><code class="language-scala" data-lang="scala"><span class="k">case</span> <span class="k">class</span> <span class="nc">Word</span><span class="o">(</span><span class="n">word</span><span class="k">:</span> <span class="kt">String</span><span class="o">,</span> <span class="n">freq</span><span class="k">:</span> <span class="kt">Long</span><span class="o">)</span> |
| |
| <span class="k">val</span> <span class="n">texts</span><span class="k">:</span> <span class="kt">DataStream</span><span class="o">[</span><span class="kt">String</span><span class="o">]</span> <span class="k">=</span> <span class="o">...</span> |
| |
| <span class="k">val</span> <span class="n">counts</span> <span class="k">=</span> <span class="n">text</span> |
| <span class="o">.</span><span class="n">flatMap</span> <span class="o">{</span> <span class="n">line</span> <span class="k">=></span> <span class="n">line</span><span class="o">.</span><span class="n">split</span><span class="o">(</span><span class="s">"\\W+"</span><span class="o">)</span> <span class="o">}</span> |
| <span class="o">.</span><span class="n">map</span> <span class="o">{</span> <span class="n">token</span> <span class="k">=></span> <span class="nc">Word</span><span class="o">(</span><span class="n">token</span><span class="o">,</span> <span class="mi">1</span><span class="o">)</span> <span class="o">}</span> |
| <span class="o">.</span><span class="n">groupBy</span><span class="o">(</span><span class="s">"word"</span><span class="o">)</span> |
| <span class="o">.</span><span class="n">window</span><span class="o">(</span><span class="nc">Time</span><span class="o">.</span><span class="n">of</span><span class="o">(</span><span class="mi">5</span><span class="o">,</span> <span class="nc">SECONDS</span><span class="o">)).</span><span class="n">every</span><span class="o">(</span><span class="nc">Time</span><span class="o">.</span><span class="n">of</span><span class="o">(</span><span class="mi">1</span><span class="o">,</span> <span class="nc">SECONDS</span><span class="o">))</span> |
| <span class="o">.</span><span class="n">sum</span><span class="o">(</span><span class="s">"freq"</span><span class="o">)</span></code></pre></div> |
| |
| </div> |
| </div> |
| |
| <hr /> |
| |
| <!-- Library Ecosystem --> |
| <div class="row" style="padding: 0 0 2em 0"> |
| <div class="col-sm-12"> |
| <h1 id="libraries"><i>Library Ecosystem</i></h1> |
| </div> |
| </div> |
| <div class="row"> |
| <div class="col-sm-6"> |
| <p class="lead">Flink's stack offers libraries with high-level APIs for different use cases: Machine Learning, Graph Analytics, and Relational Data Processing.</p> |
| <p class="lead">The libraries are currently in <i>beta</i> status and are heavily developed.</p> |
| </div> |
| <div class="col-sm-6 img-column"> |
| <img src="/img/features/stack.png" alt="Flink Stack with Libraries" style="width:60%" /> |
| </div> |
| </div> |
| |
| <hr /> |
| |
| <!-- --------------------------------------------- --> |
| <!-- Ecosystem |
| <!-- --------------------------------------------- --> |
| |
| <div class="row" style="padding: 0 0 0 0"> |
| <div class="col-sm-12" style="text-align: center;"> |
| <h1><b>Ecosystem</b></h1> |
| </div> |
| </div> |
| |
| <hr /> |
| |
| <!-- Ecosystem --> |
| <div class="row" style="padding: 0 0 2em 0"> |
| <div class="col-sm-12"> |
| <h1 id="ecosystem"><i>Broad Integration</i></h1> |
| </div> |
| </div> |
| <div class="row"> |
| <div class="col-sm-6"> |
| <p class="lead">Flink is integrated with many other projects in the open-source data processing ecosystem.</p> |
| <p class="lead">Flink runs on YARN, works with HDFS, streams data from Kafka, can execute Hadoop program code, and connects to various other data storage systems.</p> |
| </div> |
| <div class="col-sm-6 img-column"> |
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