pekko/akka-docs/src/test/java/jdocs/stream/FlowParallelismDocTest.java
Johan Andrén 45c826a218
System wide materializer (#27491)
Introduces a materializer started through an extension and then an implicit
conversion for Scala turning an implicitly available ActorSystem into a
materializer. The Java APIs has been ammended with run-methods accepting
an ActorSystem.
2019-08-23 18:19:27 +02:00

168 lines
6.1 KiB
Java

/*
* Copyright (C) 2015-2019 Lightbend Inc. <https://www.lightbend.com>
*/
package jdocs.stream;
import static org.junit.Assert.assertEquals;
import akka.NotUsed;
import jdocs.AbstractJavaTest;
import akka.testkit.javadsl.TestKit;
import org.junit.AfterClass;
import org.junit.BeforeClass;
import org.junit.Test;
import akka.actor.ActorSystem;
import akka.stream.*;
import akka.stream.javadsl.*;
public class FlowParallelismDocTest extends AbstractJavaTest {
static ActorSystem system;
@BeforeClass
public static void setup() {
system = ActorSystem.create("FlowParallellismDocTest");
}
@AfterClass
public static void tearDown() {
TestKit.shutdownActorSystem(system);
system = null;
}
static class ScoopOfBatter {}
static class HalfCookedPancake {}
static class Pancake {}
// #pipelining
Flow<ScoopOfBatter, HalfCookedPancake, NotUsed> fryingPan1 =
Flow.of(ScoopOfBatter.class).map(batter -> new HalfCookedPancake());
Flow<HalfCookedPancake, Pancake, NotUsed> fryingPan2 =
Flow.of(HalfCookedPancake.class).map(halfCooked -> new Pancake());
// #pipelining
@Test
public void demonstratePipelining() {
// #pipelining
// With the two frying pans we can fully cook pancakes
Flow<ScoopOfBatter, Pancake, NotUsed> pancakeChef = fryingPan1.async().via(fryingPan2.async());
// #pipelining
}
@Test
public void demonstrateParallelism() {
// #parallelism
Flow<ScoopOfBatter, Pancake, NotUsed> fryingPan =
Flow.of(ScoopOfBatter.class).map(batter -> new Pancake());
Flow<ScoopOfBatter, Pancake, NotUsed> pancakeChef =
Flow.fromGraph(
GraphDSL.create(
b -> {
final UniformFanInShape<Pancake, Pancake> mergePancakes = b.add(Merge.create(2));
final UniformFanOutShape<ScoopOfBatter, ScoopOfBatter> dispatchBatter =
b.add(Balance.create(2));
// Using two frying pans in parallel, both fully cooking a pancake from the
// batter.
// We always put the next scoop of batter to the first frying pan that becomes
// available.
b.from(dispatchBatter.out(0))
.via(b.add(fryingPan.async()))
.toInlet(mergePancakes.in(0));
// Notice that we used the "fryingPan" flow without importing it via
// builder.add().
// Flows used this way are auto-imported, which in this case means that the two
// uses of "fryingPan" mean actually different stages in the graph.
b.from(dispatchBatter.out(1))
.via(b.add(fryingPan.async()))
.toInlet(mergePancakes.in(1));
return FlowShape.of(dispatchBatter.in(), mergePancakes.out());
}));
// #parallelism
}
@Test
public void parallelPipeline() {
// #parallel-pipeline
Flow<ScoopOfBatter, Pancake, NotUsed> pancakeChef =
Flow.fromGraph(
GraphDSL.create(
b -> {
final UniformFanInShape<Pancake, Pancake> mergePancakes = b.add(Merge.create(2));
final UniformFanOutShape<ScoopOfBatter, ScoopOfBatter> dispatchBatter =
b.add(Balance.create(2));
// Using two pipelines, having two frying pans each, in total using
// four frying pans
b.from(dispatchBatter.out(0))
.via(b.add(fryingPan1.async()))
.via(b.add(fryingPan2.async()))
.toInlet(mergePancakes.in(0));
b.from(dispatchBatter.out(1))
.via(b.add(fryingPan1.async()))
.via(b.add(fryingPan2.async()))
.toInlet(mergePancakes.in(1));
return FlowShape.of(dispatchBatter.in(), mergePancakes.out());
}));
// #parallel-pipeline
}
@Test
public void pipelinedParallel() {
// #pipelined-parallel
Flow<ScoopOfBatter, HalfCookedPancake, NotUsed> pancakeChefs1 =
Flow.fromGraph(
GraphDSL.create(
b -> {
final UniformFanInShape<HalfCookedPancake, HalfCookedPancake> mergeHalfCooked =
b.add(Merge.create(2));
final UniformFanOutShape<ScoopOfBatter, ScoopOfBatter> dispatchBatter =
b.add(Balance.create(2));
// Two chefs work with one frying pan for each, half-frying the pancakes then
// putting
// them into a common pool
b.from(dispatchBatter.out(0))
.via(b.add(fryingPan1.async()))
.toInlet(mergeHalfCooked.in(0));
b.from(dispatchBatter.out(1))
.via(b.add(fryingPan1.async()))
.toInlet(mergeHalfCooked.in(1));
return FlowShape.of(dispatchBatter.in(), mergeHalfCooked.out());
}));
Flow<HalfCookedPancake, Pancake, NotUsed> pancakeChefs2 =
Flow.fromGraph(
GraphDSL.create(
b -> {
final UniformFanInShape<Pancake, Pancake> mergePancakes = b.add(Merge.create(2));
final UniformFanOutShape<HalfCookedPancake, HalfCookedPancake>
dispatchHalfCooked = b.add(Balance.create(2));
// Two chefs work with one frying pan for each, finishing the pancakes then
// putting
// them into a common pool
b.from(dispatchHalfCooked.out(0))
.via(b.add(fryingPan2.async()))
.toInlet(mergePancakes.in(0));
b.from(dispatchHalfCooked.out(1))
.via(b.add(fryingPan2.async()))
.toInlet(mergePancakes.in(1));
return FlowShape.of(dispatchHalfCooked.in(), mergePancakes.out());
}));
Flow<ScoopOfBatter, Pancake, NotUsed> kitchen = pancakeChefs1.via(pancakeChefs2);
// #pipelined-parallel
}
}