This entails:
* adding akka.pattern.PatternCS.* to enable ask etc. with
CompletionStage
* changing RequestContext to offer an ExecutionContextExecutor for the
CompletionStage.*Async combinators
* splitting up akka.stream.Queue for JavaDSL consistency
362 lines
10 KiB
Java
362 lines
10 KiB
Java
/**
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* Copyright (C) 2015 Typesafe Inc. <http://www.typesafe.com>
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*/
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package docs.stream;
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import akka.Done;
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import akka.NotUsed;
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import akka.actor.ActorSystem;
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import akka.dispatch.Foreach;
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import akka.japi.JavaPartialFunction;
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import akka.testkit.JavaTestKit;
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import akka.stream.*;
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import akka.stream.javadsl.*;
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import docs.stream.TwitterStreamQuickstartDocTest.Model.Author;
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import docs.stream.TwitterStreamQuickstartDocTest.Model.Hashtag;
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import docs.stream.TwitterStreamQuickstartDocTest.Model.Tweet;
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import org.junit.AfterClass;
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import org.junit.BeforeClass;
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import org.junit.Test;
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import scala.concurrent.Await;
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import scala.concurrent.Future;
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import scala.concurrent.duration.FiniteDuration;
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import java.util.ArrayList;
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import java.util.Arrays;
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import java.util.Set;
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import java.util.concurrent.CompletionStage;
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import java.util.concurrent.ExecutionException;
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import java.util.concurrent.TimeUnit;
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import java.util.concurrent.TimeoutException;
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import java.util.stream.Collectors;
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import static docs.stream.TwitterStreamQuickstartDocTest.Model.AKKA;
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import static docs.stream.TwitterStreamQuickstartDocTest.Model.tweets;
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@SuppressWarnings("unused")
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public class TwitterStreamQuickstartDocTest {
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static ActorSystem system;
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@BeforeClass
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public static void setup() {
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system = ActorSystem.create("SampleActorTest");
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}
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@AfterClass
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public static void tearDown() {
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JavaTestKit.shutdownActorSystem(system);
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system = null;
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}
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static abstract class Model {
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//#model
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public static class Author {
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public final String handle;
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public Author(String handle) {
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this.handle = handle;
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}
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// ...
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//#model
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@Override
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public String toString() {
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return "Author(" + handle + ")";
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}
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@Override
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public boolean equals(Object o) {
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if (this == o) {
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return true;
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}
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if (o == null || getClass() != o.getClass()) {
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return false;
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}
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Author author = (Author) o;
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if (handle != null ? !handle.equals(author.handle) : author.handle != null) {
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return false;
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}
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return true;
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}
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@Override
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public int hashCode() {
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return handle != null ? handle.hashCode() : 0;
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}
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//#model
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}
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//#model
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//#model
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public static class Hashtag {
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public final String name;
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public Hashtag(String name) {
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this.name = name;
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}
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// ...
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//#model
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@Override
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public int hashCode() {
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return name.hashCode();
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}
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@Override
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public boolean equals(Object obj) {
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if (this == obj)
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return true;
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if (obj == null)
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return false;
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if (getClass() != obj.getClass())
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return false;
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Hashtag other = (Hashtag) obj;
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return name.equals(other.name);
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}
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@Override
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public String toString() {
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return "Hashtag(" + name + ")";
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}
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//#model
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}
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//#model
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//#model
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public static class Tweet {
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public final Author author;
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public final long timestamp;
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public final String body;
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public Tweet(Author author, long timestamp, String body) {
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this.author = author;
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this.timestamp = timestamp;
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this.body = body;
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}
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public Set<Hashtag> hashtags() {
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return Arrays.asList(body.split(" ")).stream()
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.filter(a -> a.startsWith("#"))
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.map(a -> new Hashtag(a))
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.collect(Collectors.toSet());
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}
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// ...
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//#model
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@Override
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public String toString() {
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return "Tweet(" + author + "," + timestamp + "," + body + ")";
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}
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//#model
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}
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//#model
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//#model
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public static final Hashtag AKKA = new Hashtag("#akka");
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//#model
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public static final Source<Tweet, NotUsed> tweets = Source.from(
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Arrays.asList(new Tweet[] {
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new Tweet(new Author("rolandkuhn"), System.currentTimeMillis(), "#akka rocks!"),
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new Tweet(new Author("patriknw"), System.currentTimeMillis(), "#akka !"),
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new Tweet(new Author("bantonsson"), System.currentTimeMillis(), "#akka !"),
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new Tweet(new Author("drewhk"), System.currentTimeMillis(), "#akka !"),
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new Tweet(new Author("ktosopl"), System.currentTimeMillis(), "#akka on the rocks!"),
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new Tweet(new Author("mmartynas"), System.currentTimeMillis(), "wow #akka !"),
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new Tweet(new Author("akkateam"), System.currentTimeMillis(), "#akka rocks!"),
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new Tweet(new Author("bananaman"), System.currentTimeMillis(), "#bananas rock!"),
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new Tweet(new Author("appleman"), System.currentTimeMillis(), "#apples rock!"),
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new Tweet(new Author("drama"), System.currentTimeMillis(), "we compared #apples to #oranges!")
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}));
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}
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static abstract class Example0 {
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//#tweet-source
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Source<Tweet, NotUsed> tweets;
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//#tweet-source
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}
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static abstract class Example1 {
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//#first-sample
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//#materializer-setup
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final ActorSystem system = ActorSystem.create("reactive-tweets");
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final Materializer mat = ActorMaterializer.create(system);
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//#first-sample
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//#materializer-setup
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}
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static class Example2 {
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public void run(final Materializer mat) throws TimeoutException, InterruptedException, ExecutionException {
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//#backpressure-by-readline
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final CompletionStage<Done> completion =
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Source.from(Arrays.asList(1, 2, 3, 4, 5, 6, 7, 8, 9, 10))
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.map(i -> { System.out.println("map => " + i); return i; })
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.runForeach(i -> System.console().readLine("Element = %s continue reading? [press enter]\n", i), mat);
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completion.toCompletableFuture().get(1, TimeUnit.SECONDS);
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//#backpressure-by-readline
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}
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}
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final Materializer mat = ActorMaterializer.create(system);
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@Test
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public void demonstrateFilterAndMap() {
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final SilenceSystemOut.System System = SilenceSystemOut.get();
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//#first-sample
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//#authors-filter-map
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final Source<Author, NotUsed> authors =
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tweets
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.filter(t -> t.hashtags().contains(AKKA))
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.map(t -> t.author);
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//#first-sample
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//#authors-filter-map
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new Object() {
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//#authors-collect
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JavaPartialFunction<Tweet, Author> collectFunction =
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new JavaPartialFunction<Tweet, Author>() {
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public Author apply(Tweet t, boolean isCheck) {
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if (t.hashtags().contains(AKKA)) {
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if (isCheck) return null; // to spare the expensive or side-effecting code
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return t.author;
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} else {
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throw noMatch();
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}
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}
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};
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final Source<Author, NotUsed> authors =
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tweets.collect(collectFunction);
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//#authors-collect
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};
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//#first-sample
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//#authors-foreachsink-println
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authors.runWith(Sink.foreach(a -> System.out.println(a)), mat);
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//#first-sample
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//#authors-foreachsink-println
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//#authors-foreach-println
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authors.runForeach(a -> System.out.println(a), mat);
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//#authors-foreach-println
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}
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@Test
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public void demonstrateMapConcat() {
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//#hashtags-mapConcat
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final Source<Hashtag, NotUsed> hashtags =
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tweets.mapConcat(t -> new ArrayList<Hashtag>(t.hashtags()));
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//#hashtags-mapConcat
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}
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static abstract class HiddenDefinitions {
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//#flow-graph-broadcast
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Sink<Author, NotUsed> writeAuthors;
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Sink<Hashtag, NotUsed> writeHashtags;
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//#flow-graph-broadcast
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}
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@Test
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public void demonstrateBroadcast() {
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final Sink<Author, CompletionStage<Done>> writeAuthors = Sink.ignore();
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final Sink<Hashtag, CompletionStage<Done>> writeHashtags = Sink.ignore();
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//#flow-graph-broadcast
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RunnableGraph.fromGraph(GraphDSL.create(b -> {
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final UniformFanOutShape<Tweet, Tweet> bcast = b.add(Broadcast.create(2));
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final FlowShape<Tweet, Author> toAuthor =
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b.add(Flow.of(Tweet.class).map(t -> t.author));
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final FlowShape<Tweet, Hashtag> toTags =
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b.add(Flow.of(Tweet.class).mapConcat(t -> new ArrayList<Hashtag>(t.hashtags())));
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final SinkShape<Author> authors = b.add(writeAuthors);
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final SinkShape<Hashtag> hashtags = b.add(writeHashtags);
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b.from(b.add(tweets)).viaFanOut(bcast).via(toAuthor).to(authors);
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b.from(bcast).via(toTags).to(hashtags);
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return ClosedShape.getInstance();
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})).run(mat);
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//#flow-graph-broadcast
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}
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long slowComputation(Tweet t) {
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try {
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// act as if performing some heavy computation
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Thread.sleep(500);
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} catch (InterruptedException e) {}
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return 42;
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}
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@Test
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public void demonstrateSlowProcessing() {
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//#tweets-slow-consumption-dropHead
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tweets
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.buffer(10, OverflowStrategy.dropHead())
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.map(t -> slowComputation(t))
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.runWith(Sink.ignore(), mat);
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//#tweets-slow-consumption-dropHead
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}
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@Test
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public void demonstrateCountOnFiniteStream() {
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//#tweets-fold-count
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final Sink<Integer, CompletionStage<Integer>> sumSink =
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Sink.<Integer, Integer>fold(0, (acc, elem) -> acc + elem);
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final RunnableGraph<CompletionStage<Integer>> counter =
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tweets.map(t -> 1).toMat(sumSink, Keep.right());
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final CompletionStage<Integer> sum = counter.run(mat);
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sum.thenAcceptAsync(c -> System.out.println("Total tweets processed: " + c),
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system.dispatcher());
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//#tweets-fold-count
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new Object() {
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//#tweets-fold-count-oneline
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final CompletionStage<Integer> sum = tweets.map(t -> 1).runWith(sumSink, mat);
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//#tweets-fold-count-oneline
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};
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}
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@Test
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public void demonstrateMaterializeMultipleTimes() {
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final Source<Tweet, NotUsed> tweetsInMinuteFromNow = tweets; // not really in second, just acting as if
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//#tweets-runnable-flow-materialized-twice
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final Sink<Integer, CompletionStage<Integer>> sumSink =
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Sink.<Integer, Integer>fold(0, (acc, elem) -> acc + elem);
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final RunnableGraph<CompletionStage<Integer>> counterRunnableGraph =
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tweetsInMinuteFromNow
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.filter(t -> t.hashtags().contains(AKKA))
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.map(t -> 1)
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.toMat(sumSink, Keep.right());
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// materialize the stream once in the morning
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final CompletionStage<Integer> morningTweetsCount = counterRunnableGraph.run(mat);
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// and once in the evening, reusing the blueprint
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final CompletionStage<Integer> eveningTweetsCount = counterRunnableGraph.run(mat);
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//#tweets-runnable-flow-materialized-twice
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}
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}
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