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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.spark.streaming;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.List;
import java.util.Set;
import scala.Tuple2;
import com.google.common.collect.Sets;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.function.Function;
import org.apache.spark.api.java.function.VoidFunction;
import org.apache.spark.streaming.api.java.JavaDStream;
import org.apache.spark.util.ManualClock;
import org.junit.Assert;
import org.junit.Test;
import org.apache.spark.HashPartitioner;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.Optional;
import org.apache.spark.api.java.function.Function3;
import org.apache.spark.api.java.function.Function4;
import org.apache.spark.streaming.api.java.JavaPairDStream;
import org.apache.spark.streaming.api.java.JavaMapWithStateDStream;
public class JavaMapWithStateSuite extends LocalJavaStreamingContext implements Serializable {
/**
* This test is only for testing the APIs. It's not necessary to run it.
*/
public void testAPI() {
JavaPairRDD<String, Boolean> initialRDD = null;
JavaPairDStream<String, Integer> wordsDstream = null;
Function4<Time, String, Optional<Integer>, State<Boolean>, Optional<Double>> mappingFunc =
new Function4<Time, String, Optional<Integer>, State<Boolean>, Optional<Double>>() {
@Override
public Optional<Double> call(
Time time, String word, Optional<Integer> one, State<Boolean> state) {
// Use all State's methods here
state.exists();
state.get();
state.isTimingOut();
state.remove();
state.update(true);
return Optional.of(2.0);
}
};
JavaMapWithStateDStream<String, Integer, Boolean, Double> stateDstream =
wordsDstream.mapWithState(
StateSpec.function(mappingFunc)
.initialState(initialRDD)
.numPartitions(10)
.partitioner(new HashPartitioner(10))
.timeout(Durations.seconds(10)));
stateDstream.stateSnapshots();
Function3<String, Optional<Integer>, State<Boolean>, Double> mappingFunc2 =
new Function3<String, Optional<Integer>, State<Boolean>, Double>() {
@Override
public Double call(String key, Optional<Integer> one, State<Boolean> state) {
// Use all State's methods here
state.exists();
state.get();
state.isTimingOut();
state.remove();
state.update(true);
return 2.0;
}
};
JavaMapWithStateDStream<String, Integer, Boolean, Double> stateDstream2 =
wordsDstream.mapWithState(
StateSpec.function(mappingFunc2)
.initialState(initialRDD)
.numPartitions(10)
.partitioner(new HashPartitioner(10))
.timeout(Durations.seconds(10)));
stateDstream2.stateSnapshots();
}
@Test
public void testBasicFunction() {
List<List<String>> inputData = Arrays.asList(
Collections.<String>emptyList(),
Arrays.asList("a"),
Arrays.asList("a", "b"),
Arrays.asList("a", "b", "c"),
Arrays.asList("a", "b"),
Arrays.asList("a"),
Collections.<String>emptyList()
);
List<Set<Integer>> outputData = Arrays.asList(
Collections.<Integer>emptySet(),
Sets.newHashSet(1),
Sets.newHashSet(2, 1),
Sets.newHashSet(3, 2, 1),
Sets.newHashSet(4, 3),
Sets.newHashSet(5),
Collections.<Integer>emptySet()
);
@SuppressWarnings("unchecked")
List<Set<Tuple2<String, Integer>>> stateData = Arrays.asList(
Collections.<Tuple2<String, Integer>>emptySet(),
Sets.newHashSet(new Tuple2<>("a", 1)),
Sets.newHashSet(new Tuple2<>("a", 2), new Tuple2<>("b", 1)),
Sets.newHashSet(new Tuple2<>("a", 3), new Tuple2<>("b", 2), new Tuple2<>("c", 1)),
Sets.newHashSet(new Tuple2<>("a", 4), new Tuple2<>("b", 3), new Tuple2<>("c", 1)),
Sets.newHashSet(new Tuple2<>("a", 5), new Tuple2<>("b", 3), new Tuple2<>("c", 1)),
Sets.newHashSet(new Tuple2<>("a", 5), new Tuple2<>("b", 3), new Tuple2<>("c", 1))
);
Function3<String, Optional<Integer>, State<Integer>, Integer> mappingFunc =
new Function3<String, Optional<Integer>, State<Integer>, Integer>() {
@Override
public Integer call(String key, Optional<Integer> value, State<Integer> state) {
int sum = value.orElse(0) + (state.exists() ? state.get() : 0);
state.update(sum);
return sum;
}
};
testOperation(
inputData,
StateSpec.function(mappingFunc),
outputData,
stateData);
}
private <K, S, T> void testOperation(
List<List<K>> input,
StateSpec<K, Integer, S, T> mapWithStateSpec,
List<Set<T>> expectedOutputs,
List<Set<Tuple2<K, S>>> expectedStateSnapshots) {
int numBatches = expectedOutputs.size();
JavaDStream<K> inputStream = JavaTestUtils.attachTestInputStream(ssc, input, 2);
JavaMapWithStateDStream<K, Integer, S, T> mapWithStateDStream =
JavaPairDStream.fromJavaDStream(inputStream.map(new Function<K, Tuple2<K, Integer>>() {
@Override
public Tuple2<K, Integer> call(K x) {
return new Tuple2<>(x, 1);
}
})).mapWithState(mapWithStateSpec);
final List<Set<T>> collectedOutputs =
Collections.synchronizedList(new ArrayList<Set<T>>());
mapWithStateDStream.foreachRDD(new VoidFunction<JavaRDD<T>>() {
@Override
public void call(JavaRDD<T> rdd) {
collectedOutputs.add(Sets.newHashSet(rdd.collect()));
}
});
final List<Set<Tuple2<K, S>>> collectedStateSnapshots =
Collections.synchronizedList(new ArrayList<Set<Tuple2<K, S>>>());
mapWithStateDStream.stateSnapshots().foreachRDD(new VoidFunction<JavaPairRDD<K, S>>() {
@Override
public void call(JavaPairRDD<K, S> rdd) {
collectedStateSnapshots.add(Sets.newHashSet(rdd.collect()));
}
});
BatchCounter batchCounter = new BatchCounter(ssc.ssc());
ssc.start();
((ManualClock) ssc.ssc().scheduler().clock())
.advance(ssc.ssc().progressListener().batchDuration() * numBatches + 1);
batchCounter.waitUntilBatchesCompleted(numBatches, 10000);
Assert.assertEquals(expectedOutputs, collectedOutputs);
Assert.assertEquals(expectedStateSnapshots, collectedStateSnapshots);
}
}
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