/*
* 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.kafka.streams.integration;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.common.serialization.Deserializer;
import org.apache.kafka.common.serialization.IntegerSerializer;
import org.apache.kafka.common.serialization.LongDeserializer;
import org.apache.kafka.common.serialization.Serdes;
import org.apache.kafka.common.serialization.StringDeserializer;
import org.apache.kafka.common.serialization.StringSerializer;
import org.apache.kafka.streams.KafkaStreams;
import org.apache.kafka.streams.KeyValue;
import org.apache.kafka.streams.StreamsConfig;
import org.apache.kafka.streams.integration.utils.EmbeddedKafkaCluster;
import org.apache.kafka.streams.integration.utils.IntegrationTestUtils;
import org.apache.kafka.streams.kstream.KGroupedStream;
import org.apache.kafka.streams.kstream.KStream;
import org.apache.kafka.streams.kstream.KStreamBuilder;
import org.apache.kafka.streams.kstream.KeyValueMapper;
import org.apache.kafka.streams.kstream.Reducer;
import org.apache.kafka.streams.kstream.TimeWindows;
import org.apache.kafka.streams.kstream.Windowed;
import org.apache.kafka.test.IntegrationTest;
import org.apache.kafka.test.MockKeyValueMapper;
import org.apache.kafka.test.TestUtils;
import org.junit.After;
import org.junit.Before;
import org.junit.ClassRule;
import org.junit.Test;
import java.io.IOException;
import java.util.Arrays;
import java.util.Collections;
import java.util.Comparator;
import java.util.List;
import java.util.Properties;
import java.util.concurrent.ExecutionException;
import kafka.utils.MockTime;
import org.junit.experimental.categories.Category;
import static org.hamcrest.MatcherAssert.assertThat;
import static org.hamcrest.core.Is.is;
/**
* Similar to KStreamAggregationIntegrationTest but with dedupping enabled
* by virtue of having a large commit interval
*/
@Category({IntegrationTest.class})
public class KStreamAggregationDedupIntegrationTest {
private static final int NUM_BROKERS = 1;
private static final long COMMIT_INTERVAL_MS = 300L;
@ClassRule
public static final EmbeddedKafkaCluster CLUSTER =
new EmbeddedKafkaCluster(NUM_BROKERS);
private final MockTime mockTime = CLUSTER.time;
private static volatile int testNo = 0;
private KStreamBuilder builder;
private Properties streamsConfiguration;
private KafkaStreams kafkaStreams;
private String streamOneInput;
private String outputTopic;
private KGroupedStream<String, String> groupedStream;
private Reducer<String> reducer;
private KStream<Integer, String> stream;
@Before
public void before() throws InterruptedException {
testNo++;
builder = new KStreamBuilder();
createTopics();
streamsConfiguration = new Properties();
String applicationId = "kgrouped-stream-test-" +
testNo;
streamsConfiguration.put(StreamsConfig.APPLICATION_ID_CONFIG, applicationId);
streamsConfiguration
.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, CLUSTER.bootstrapServers());
streamsConfiguration.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
streamsConfiguration.put(StreamsConfig.STATE_DIR_CONFIG, TestUtils.tempDirectory().getPath());
streamsConfiguration.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, COMMIT_INTERVAL_MS);
streamsConfiguration.put(StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG, 10 * 1024 * 1024L);
streamsConfiguration.put(IntegrationTestUtils.INTERNAL_LEAVE_GROUP_ON_CLOSE, true);
KeyValueMapper<Integer, String, String> mapper = MockKeyValueMapper.<Integer, String>SelectValueMapper();
stream = builder.stream(Serdes.Integer(), Serdes.String(), streamOneInput);
groupedStream = stream
.groupBy(
mapper,
Serdes.String(),
Serdes.String());
reducer = new Reducer<String>() {
@Override
public String apply(String value1, String value2) {
return value1 + ":" + value2;
}
};
}
@After
public void whenShuttingDown() throws IOException {
if (kafkaStreams != null) {
kafkaStreams.close();
}
IntegrationTestUtils.purgeLocalStreamsState(streamsConfiguration);
}
@Test
public void shouldReduce() throws Exception {
produceMessages(System.currentTimeMillis());
groupedStream
.reduce(reducer, "reduce-by-key")
.to(Serdes.String(), Serdes.String(), outputTopic);
startStreams();
produceMessages(System.currentTimeMillis());
List<KeyValue<String, String>> results = receiveMessages(
new StringDeserializer(),
new StringDeserializer(),
5);
Collections.sort(results, new Comparator<KeyValue<String, String>>() {
@Override
public int compare(KeyValue<String, String> o1, KeyValue<String, String> o2) {
return KStreamAggregationDedupIntegrationTest.compare(o1, o2);
}
});
assertThat(results, is(Arrays.asList(
KeyValue.pair("A", "A:A"),
KeyValue.pair("B", "B:B"),
KeyValue.pair("C", "C:C"),
KeyValue.pair("D", "D:D"),
KeyValue.pair("E", "E:E"))));
}
@SuppressWarnings("unchecked")
private static <K extends Comparable, V extends Comparable> int compare(final KeyValue<K, V> o1,
final KeyValue<K, V> o2) {
final int keyComparison = o1.key.compareTo(o2.key);
if (keyComparison == 0) {
return o1.value.compareTo(o2.value);
}
return keyComparison;
}
@Test
public void shouldReduceWindowed() throws Exception {
long firstBatchTimestamp = System.currentTimeMillis() - 1000;
produceMessages(firstBatchTimestamp);
long secondBatchTimestamp = System.currentTimeMillis();
produceMessages(secondBatchTimestamp);
produceMessages(secondBatchTimestamp);
groupedStream
.reduce(reducer, TimeWindows.of(500L), "reduce-time-windows")
.toStream(new KeyValueMapper<Windowed<String>, String, String>() {
@Override
public String apply(Windowed<String> windowedKey, String value) {
return windowedKey.key() + "@" + windowedKey.window().start();
}
})
.to(Serdes.String(), Serdes.String(), outputTopic);
startStreams();
List<KeyValue<String, String>> windowedOutput = receiveMessages(
new StringDeserializer(),
new StringDeserializer(),
10);
Comparator<KeyValue<String, String>>
comparator =
new Comparator<KeyValue<String, String>>() {
@Override
public int compare(final KeyValue<String, String> o1,
final KeyValue<String, String> o2) {
return KStreamAggregationDedupIntegrationTest.compare(o1, o2);
}
};
Collections.sort(windowedOutput, comparator);
long firstBatchWindow = firstBatchTimestamp / 500 * 500;
long secondBatchWindow = secondBatchTimestamp / 500 * 500;
assertThat(windowedOutput, is(
Arrays.asList(
new KeyValue<>("A@" + firstBatchWindow, "A"),
new KeyValue<>("A@" + secondBatchWindow, "A:A"),
new KeyValue<>("B@" + firstBatchWindow, "B"),
new KeyValue<>("B@" + secondBatchWindow, "B:B"),
new KeyValue<>("C@" + firstBatchWindow, "C"),
new KeyValue<>("C@" + secondBatchWindow, "C:C"),
new KeyValue<>("D@" + firstBatchWindow, "D"),
new KeyValue<>("D@" + secondBatchWindow, "D:D"),
new KeyValue<>("E@" + firstBatchWindow, "E"),
new KeyValue<>("E@" + secondBatchWindow, "E:E")
)
));
}
@Test
public void shouldGroupByKey() throws Exception {
final long timestamp = mockTime.milliseconds();
produceMessages(timestamp);
produceMessages(timestamp);
stream.groupByKey(Serdes.Integer(), Serdes.String())
.count(TimeWindows.of(500L), "count-windows")
.toStream(new KeyValueMapper<Windowed<Integer>, Long, String>() {
@Override
public String apply(final Windowed<Integer> windowedKey, final Long value) {
return windowedKey.key() + "@" + windowedKey.window().start();
}
}).to(Serdes.String(), Serdes.Long(), outputTopic);
startStreams();
final List<KeyValue<String, Long>> results = receiveMessages(
new StringDeserializer(),
new LongDeserializer(),
5);
Collections.sort(results, new Comparator<KeyValue<String, Long>>() {
@Override
public int compare(final KeyValue<String, Long> o1, final KeyValue<String, Long> o2) {
return KStreamAggregationDedupIntegrationTest.compare(o1, o2);
}
});
final long window = timestamp / 500 * 500;
assertThat(results, is(Arrays.asList(
KeyValue.pair("1@" + window, 2L),
KeyValue.pair("2@" + window, 2L),
KeyValue.pair("3@" + window, 2L),
KeyValue.pair("4@" + window, 2L),
KeyValue.pair("5@" + window, 2L)
)));
}
private void produceMessages(long timestamp)
throws ExecutionException, InterruptedException {
IntegrationTestUtils.produceKeyValuesSynchronouslyWithTimestamp(
streamOneInput,
Arrays.asList(
new KeyValue<>(1, "A"),
new KeyValue<>(2, "B"),
new KeyValue<>(3, "C"),
new KeyValue<>(4, "D"),
new KeyValue<>(5, "E")),
TestUtils.producerConfig(
CLUSTER.bootstrapServers(),
IntegerSerializer.class,
StringSerializer.class,
new Properties()),
timestamp);
}
private void createTopics() throws InterruptedException {
streamOneInput = "stream-one-" + testNo;
outputTopic = "output-" + testNo;
CLUSTER.createTopic(streamOneInput, 3, 1);
CLUSTER.createTopic(outputTopic);
}
private void startStreams() {
kafkaStreams = new KafkaStreams(builder, streamsConfiguration);
kafkaStreams.start();
}
private <K, V> List<KeyValue<K, V>> receiveMessages(final Deserializer<K>
keyDeserializer,
final Deserializer<V>
valueDeserializer,
final int numMessages)
throws InterruptedException {
final Properties consumerProperties = new Properties();
consumerProperties
.setProperty(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, CLUSTER.bootstrapServers());
consumerProperties.setProperty(ConsumerConfig.GROUP_ID_CONFIG, "kgroupedstream-test-" +
testNo);
consumerProperties.setProperty(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
consumerProperties.setProperty(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG,
keyDeserializer.getClass().getName());
consumerProperties.setProperty(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG,
valueDeserializer.getClass().getName());
return IntegrationTestUtils.waitUntilMinKeyValueRecordsReceived(consumerProperties,
outputTopic,
numMessages,
60 * 1000);
}
}