BAEL-6552: kafka consumer's min/max fetch size
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emanuel.trandafir
parent
11417d3c0d
commit
6c736c0c88
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package com.baeldung.kafka.consumer;
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import java.time.Duration;
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import java.util.ArrayList;
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import java.util.Collections;
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import java.util.List;
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import java.util.Properties;
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import org.apache.kafka.clients.consumer.ConsumerRecord;
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import org.apache.kafka.clients.consumer.KafkaConsumer;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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public class VariableFetchSizeKafkaListener implements Runnable {
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private static Logger log = LoggerFactory.getLogger(VariableFetchSizeKafkaListener.class);
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private final String topic;
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private final KafkaConsumer<String, String> consumer;
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public VariableFetchSizeKafkaListener(String topic, Properties consumerProperties) {
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this.topic = topic;
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this.consumer = new KafkaConsumer<>(consumerProperties);
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}
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@Override
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public void run() {
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consumer.subscribe(Collections.singletonList(topic));
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int pollCount = 1;
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while (true) {
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List<ConsumerRecord<String, String>> records = new ArrayList<>();
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for (ConsumerRecord<String, String> record : consumer.poll(Duration.ofMillis(1_000))) {
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records.add(record);
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}
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if(!records.isEmpty()) {
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String batchOffsets = String.format("%s -> %s", records.get(0).offset(), records.get(records.size() - 1).offset());
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String groupId = consumer.groupMetadata().groupId();
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log.info("groupId: {}, poll: #{}, fetched: #{} records, offsets: {}", groupId, pollCount++, records.size(), batchOffsets);
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}
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}
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}
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}
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package com.baeldung.kafka.consumer;
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import java.util.List;
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import java.util.Properties;
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import java.util.concurrent.CompletableFuture;
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import java.util.stream.Collectors;
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import java.util.stream.IntStream;
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import org.apache.kafka.clients.consumer.ConsumerConfig;
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import org.apache.kafka.clients.producer.KafkaProducer;
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import org.apache.kafka.clients.producer.ProducerConfig;
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import org.apache.kafka.clients.producer.ProducerRecord;
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import org.apache.kafka.common.serialization.StringDeserializer;
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import org.apache.kafka.common.serialization.StringSerializer;
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import org.junit.jupiter.api.Test;
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import org.testcontainers.containers.KafkaContainer;
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import org.testcontainers.junit.jupiter.Container;
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import org.testcontainers.junit.jupiter.Testcontainers;
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import org.testcontainers.utility.DockerImageName;
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@Testcontainers
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class VariableFetchSizeKafkaListenerLiveTest {
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@Container
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private static final KafkaContainer KAFKA_CONTAINER = new KafkaContainer(DockerImageName.parse("confluentinc/cp-kafka:latest"));
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@Test
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void whenChangingMaxPartitionFetchBytesProperty_thenAdjustBatchSizesWhilePolling() throws Exception {
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publishSensorData(300, "engine.sensors.temperature");
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// max.partition.fetch.bytes = 500 Bytes
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Properties fetchSize_500B = kafkaConsumerProperties();
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fetchSize_500B.setProperty(ConsumerConfig.GROUP_ID_CONFIG, "max_fetch_size_500B");
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fetchSize_500B.setProperty(ConsumerConfig.MAX_PARTITION_FETCH_BYTES_CONFIG, 500 + "");
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CompletableFuture.runAsync(
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new VariableFetchSizeKafkaListener("engine.sensors.temperature", fetchSize_500B)
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);
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// max.partition.fetch.bytes = 5.000 Bytes
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Properties fetchSize_5KB = kafkaConsumerProperties();
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fetchSize_5KB.setProperty(ConsumerConfig.GROUP_ID_CONFIG, "max_fetch_size_5KB");
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fetchSize_5KB.setProperty(ConsumerConfig.MAX_PARTITION_FETCH_BYTES_CONFIG, 5_000 + "");
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CompletableFuture.runAsync(
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new VariableFetchSizeKafkaListener("engine.sensors.temperature", fetchSize_5KB)
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);
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Thread.sleep(10_000L);
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}
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@Test
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void whenChangingMinFetchBytesProperty_thenAdjustWaitTimeWhilePolling() throws Exception {
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publishSensorData(300, "engine.sensors.temperature", 100L);
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// fetch.min.bytes = 1 byte (default)
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Properties minFetchSize_1B = kafkaConsumerProperties();
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minFetchSize_1B.setProperty(ConsumerConfig.GROUP_ID_CONFIG, "min_fetch_size_1B");
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minFetchSize_1B.setProperty(ConsumerConfig.FETCH_MIN_BYTES_CONFIG, 1 + "");
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CompletableFuture.runAsync(
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new VariableFetchSizeKafkaListener("engine.sensors.temperature", minFetchSize_1B)
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);
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// fetch.min.bytes = 500 bytes
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Properties minFetchSize_500B = kafkaConsumerProperties();
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minFetchSize_500B.setProperty(ConsumerConfig.GROUP_ID_CONFIG, "mim_fetch_size_500B");
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minFetchSize_500B.setProperty(ConsumerConfig.FETCH_MIN_BYTES_CONFIG, 500 + "");
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CompletableFuture.runAsync(
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new VariableFetchSizeKafkaListener("engine.sensors.temperature", minFetchSize_500B)
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);
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Thread.sleep(10_000L);
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}
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private static Properties kafkaConsumerProperties() {
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Properties props = new Properties();
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props.setProperty(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, KAFKA_CONTAINER.getBootstrapServers());
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props.setProperty(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
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props.setProperty(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
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props.setProperty(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
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return props;
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}
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private void publishSensorData(int measurementsCount, String topic) {
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publishSensorData(measurementsCount, topic, 0L);
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}
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private void publishSensorData(int measurementsCount, String topic, long delayInMillis) {
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List<ProducerRecord<String, String>> records = IntStream.range(0, measurementsCount)
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.mapToObj(__ -> new ProducerRecord<>(topic, "key1", "temperature=255F"))
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.collect(Collectors.toList());
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CompletableFuture.runAsync(() -> {
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try (KafkaProducer<String, String> producer = testKafkaProducer()) {
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for (ProducerRecord<String, String> rec : records) {
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producer.send(rec);
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sleep(delayInMillis);
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}
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}
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});
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}
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private static KafkaProducer<String, String> testKafkaProducer() {
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Properties props = new Properties();
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props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, KAFKA_CONTAINER.getBootstrapServers());
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props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());
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props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());
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return new KafkaProducer<>(props);
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}
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private static void sleep(long delayInMillis) {
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try {
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Thread.sleep(delayInMillis);
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} catch (InterruptedException e) {
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throw new RuntimeException(e);
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}
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}
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}
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