pekko/akka-docs/rst/java/code/jdocs/stream/FlowParallelismDocTest.java
Hawstein 6434cbe868 Re-implement javadsl testkit (#22240)
* re-implement javadsl testkit

* fix mima problem

* rebase master

* move ImplicitSender/DefaultTimeout to scaladsl

* undo the change of moving scala api

* fix return type and add doc

* resolve conflicts and add more comments
2017-03-16 20:02:47 +01:00

149 lines
5.2 KiB
Java

/**
* Copyright (C) 2015-2017 Lightbend Inc. <http://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;
static Materializer mat;
@BeforeClass
public static void setup() {
system = ActorSystem.create("FlowParallellismDocTest");
mat = ActorMaterializer.create(system);
}
@AfterClass
public static void tearDown() {
TestKit.shutdownActorSystem(system);
system = null;
mat = 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
}
}