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Merge pull request #15498 from etrandafir93/features/BAEL-6552-kafka_read_multiple_messages 

Features/bael 6552 kafka read multiple messages
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davidmartinezbarua 2024-01-05 16:56:43 -03:00 committed by GitHub
parent b4bbc940ad c5892eec6e
commit ac43a540b8
2 changed files with 187 additions and 0 deletions
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42
apache-kafka-2/src/main/java/com/baeldung/kafka/consumer/VariableFetchSizeKafkaListener.java Normal file
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package com.baeldung.kafka.consumer;
import java.time.Duration;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.Properties;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
public class VariableFetchSizeKafkaListener implements Runnable {
private static Logger log = LoggerFactory.getLogger(VariableFetchSizeKafkaListener.class);
private final String topic;
private final KafkaConsumer<String, String> consumer;
public VariableFetchSizeKafkaListener(String topic, KafkaConsumer<String, String> consumer) {
this.topic = topic;
this.consumer = consumer;
}
@Override
public void run() {
consumer.subscribe(Collections.singletonList(topic));
int pollCount = 1;
while (true) {
List<ConsumerRecord<String, String>> records = new ArrayList<>();
for (ConsumerRecord<String, String> record : consumer.poll(Duration.ofMillis(500))) {
records.add(record);
}
if(!records.isEmpty()) {
String batchOffsets = String.format("%s -> %s", records.get(0).offset(), records.get(records.size() - 1).offset());
String groupId = consumer.groupMetadata().groupId();
log.info("groupId: {}, poll: #{}, fetched: #{} records, offsets: {}", groupId, pollCount++, records.size(), batchOffsets);
}
}
}
}

145
apache-kafka-2/src/test/java/com/baeldung/kafka/consumer/VariableFetchSizeKafkaListenerLiveTest.java Normal file
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package com.baeldung.kafka.consumer;
import java.util.List;
import java.util.Properties;
import java.util.concurrent.CompletableFuture;
import java.util.concurrent.ExecutionException;
import java.util.stream.Collectors;
import java.util.stream.IntStream;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.kafka.common.serialization.StringDeserializer;
import org.apache.kafka.common.serialization.StringSerializer;
import org.junit.jupiter.api.Test;
import org.testcontainers.containers.KafkaContainer;
import org.testcontainers.junit.jupiter.Container;
import org.testcontainers.junit.jupiter.Testcontainers;
import org.testcontainers.utility.DockerImageName;
@Testcontainers
class VariableFetchSizeKafkaListenerLiveTest {
@Container
private static final KafkaContainer KAFKA_CONTAINER = new KafkaContainer(DockerImageName.parse("confluentinc/cp-kafka:latest"));
@Test
void whenUsingDefaultConfiguration_thenProcessInBatchesOf() throws Exception {
String topic = "engine.sensors.temperature";
publishTestData(300, topic);
Properties props = new Properties();
props.setProperty(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, KAFKA_CONTAINER.getBootstrapServers());
props.setProperty(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
props.setProperty(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
props.setProperty(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
props.setProperty(ConsumerConfig.GROUP_ID_CONFIG, "default_config");
KafkaConsumer<String, String> kafkaConsumer = new KafkaConsumer<>(props);
CompletableFuture.runAsync(
new VariableFetchSizeKafkaListener(topic, kafkaConsumer)
);
Thread.sleep(5_000L);
}
@Test
void whenChangingMaxPartitionFetchBytesProperty_thenAdjustBatchSizesWhilePolling() throws Exception {
String topic = "engine.sensors.temperature";
publishTestData(300, topic);
Thread.sleep(1_000L);
// max.partition.fetch.bytes = 500 Bytes
Properties fetchSize_500B = commonConsumerProperties();
fetchSize_500B.setProperty(ConsumerConfig.GROUP_ID_CONFIG, "max_fetch_size_500B");
fetchSize_500B.setProperty(ConsumerConfig.MAX_PARTITION_FETCH_BYTES_CONFIG, "500");
CompletableFuture.runAsync(
new VariableFetchSizeKafkaListener(topic, new KafkaConsumer<>(fetchSize_500B))
);
// max.partition.fetch.bytes = 5.000 Bytes
Properties fetchSize_5KB = commonConsumerProperties();
fetchSize_5KB.setProperty(ConsumerConfig.GROUP_ID_CONFIG, "max_fetch_size_5KB");
fetchSize_5KB.setProperty(ConsumerConfig.MAX_PARTITION_FETCH_BYTES_CONFIG, "5000");
CompletableFuture.runAsync(
new VariableFetchSizeKafkaListener(topic, new KafkaConsumer<>(fetchSize_5KB))
);
Thread.sleep(10_000L);
}
@Test
void whenChangingMinFetchBytesProperty_thenAdjustWaitTimeWhilePolling() throws Exception {
String topic = "engine.sensors.temperature";
publishTestData(300, topic, 100L);
// fetch.min.bytes = 1 byte (default)
Properties minFetchSize_1B = commonConsumerProperties();
minFetchSize_1B.setProperty(ConsumerConfig.GROUP_ID_CONFIG, "min_fetch_size_1B");
CompletableFuture.runAsync(
new VariableFetchSizeKafkaListener(topic, new KafkaConsumer<>(minFetchSize_1B))
);
// fetch.min.bytes = 500 bytes
Properties minFetchSize_500B = commonConsumerProperties();
minFetchSize_500B.setProperty(ConsumerConfig.GROUP_ID_CONFIG, "mim_fetch_size_500B");
minFetchSize_500B.setProperty(ConsumerConfig.FETCH_MIN_BYTES_CONFIG, "500");
CompletableFuture.runAsync(
new VariableFetchSizeKafkaListener(topic, new KafkaConsumer<>(minFetchSize_500B))
);
Thread.sleep(10_000L);
}
private static Properties commonConsumerProperties() {
Properties props = new Properties();
props.setProperty(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, KAFKA_CONTAINER.getBootstrapServers());
props.setProperty(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
props.setProperty(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
props.setProperty(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
return props;
}
private void publishTestData(int measurementsCount, String topic) {
publishTestData(measurementsCount, topic, 0L);
}
private void publishTestData(int measurementsCount, String topic, long delayInMillis) {
List<ProducerRecord<String, String>> records = IntStream.range(0, measurementsCount)
.mapToObj(__ -> new ProducerRecord<>(topic, "key1", "temperature=255F"))
.collect(Collectors.toList());
CompletableFuture.runAsync(() -> {
try (KafkaProducer<String, String> producer = testKafkaProducer()) {
for (ProducerRecord<String, String> rec : records) {
producer.send(rec).get();
sleep(delayInMillis);
}
} catch (ExecutionException | InterruptedException e) {
throw new RuntimeException(e);
}
});
}
private static KafkaProducer<String, String> testKafkaProducer() {
Properties props = new Properties();
props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, KAFKA_CONTAINER.getBootstrapServers());
props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());
props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());
return new KafkaProducer<>(props);
}
private static void sleep(long delayInMillis) {
try {
Thread.sleep(delayInMillis);
} catch (InterruptedException e) {
throw new RuntimeException(e);
}
}
}