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Refactor health check strategy

feature/refactor-health-strategy
Emanuel Zienecker 2019-05-16 09:25:22 +02:00
parent 34ab41917b
commit f28cfaaa66
6 changed files with 102 additions and 27 deletions
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3
changelog.adoc
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@ -4,7 +4,8 @@
== Version 1.1.0
* Make consumer groups unique by appending a random UUID when no group ID is configured explicitly.
* Refactor health check strategy: Kafka polled continuously.
== Version 0.1.0
== Version 1.0.0
* Develop kafka health check

13
pom.xml
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@ -36,6 +36,8 @@
<nexus-staging-maven-plugin.version>1.6.8</nexus-staging-maven-plugin.version>
<maven-gpg-plugin.version>1.6</maven-gpg-plugin.version>
<maven-javadoc-plugin.version>3.1.0</maven-javadoc-plugin.version>
<awaitility.version>3.1.6</awaitility.version>
<caffeine.version>2.7.0</caffeine.version>
</properties>
<dependencies>
@ -56,6 +58,11 @@
<artifactId>guava</artifactId>
<version>${guava.version}</version>
</dependency>
<dependency>
<groupId>com.github.ben-manes.caffeine</groupId>
<artifactId>caffeine</artifactId>
<version>${caffeine.version}</version>
</dependency>
<dependency>
<groupId>org.junit.jupiter</groupId>
@ -93,6 +100,12 @@
<version>${spring.kafka.version}</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.awaitility</groupId>
<artifactId>awaitility</artifactId>
<version>${awaitility.version}</version>
<scope>test</scope>
</dependency>
</dependencies>
<build>

71
src/main/java/com/deviceinsight/kafka/health/KafkaConsumingHealthIndicator.java
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@ -2,6 +2,9 @@ package com.deviceinsight.kafka.health;
import static java.util.concurrent.TimeUnit.MILLISECONDS;
import com.deviceinsight.kafka.health.cache.CacheService;
import com.deviceinsight.kafka.health.cache.CaffeineCacheServiceImpl;
import com.google.common.annotations.VisibleForTesting;
import org.apache.kafka.clients.consumer.Consumer;
import org.apache.kafka.clients.consumer.ConsumerConfig;
@ -29,11 +32,11 @@ import java.util.UUID;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.Future;
import java.util.concurrent.RejectedExecutionException;
import java.util.concurrent.SynchronousQueue;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.concurrent.TimeoutException;
import java.util.concurrent.atomic.AtomicBoolean;
import java.util.stream.StreamSupport;
import javax.annotation.PostConstruct;
@ -41,7 +44,8 @@ import javax.annotation.PreDestroy;
public class KafkaConsumingHealthIndicator extends AbstractHealthIndicator {
private static final Logger logger = LoggerFactory.getLogger(KafkaConsumingHealthIndicator.class);
private static final Logger logger = LoggerFactory.getLogger(
com.deviceinsight.kafka.health.KafkaConsumingHealthIndicator.class);
private static final String CONSUMER_GROUP_PREFIX = "health-check-";
private final Consumer<String, String> consumer;
@ -54,7 +58,10 @@ public class KafkaConsumingHealthIndicator extends AbstractHealthIndicator {
private final long subscriptionTimeoutMs;
private final ExecutorService executor;
private final AtomicBoolean running;
private final CacheService<String> cacheService;
private KafkaCommunicationResult kafkaCommunicationResult;
public KafkaConsumingHealthIndicator(KafkaHealthProperties kafkaHealthProperties,
Map<String, Object> kafkaConsumerProperties, Map<String, Object> kafkaProducerProperties) {
@ -74,21 +81,38 @@ public class KafkaConsumingHealthIndicator extends AbstractHealthIndicator {
this.consumer = new KafkaConsumer<>(kafkaConsumerPropertiesCopy, deserializer, deserializer);
this.producer = new KafkaProducer<>(kafkaProducerProperties, serializer, serializer);
this.executor = new ThreadPoolExecutor(0, 1, 0L, MILLISECONDS, new SynchronousQueue<>(),
new ThreadPoolExecutor.AbortPolicy());
this.executor = Executors.newFixedThreadPool(2);
this.running = new AtomicBoolean(true);
this.cacheService = new CaffeineCacheServiceImpl(calculateCacheExpiration(sendReceiveTimeoutMs));
this.kafkaCommunicationResult = KafkaCommunicationResult.failure(topic, new RejectedExecutionException("Kafka Health Check is starting."));
}
@PostConstruct
void subscribeAndSendMessage() throws InterruptedException {
subscribeToTopic();
KafkaCommunicationResult kafkaCommunicationResult = sendAndReceiveMessage();
sendMessage();
if (kafkaCommunicationResult.isFailure()) {
throw new RuntimeException("Kafka health check failed", kafkaCommunicationResult.getException());
}
executor.submit(() -> {
while (running.get()) {
if (messageNotReceived()) {
this.kafkaCommunicationResult = KafkaCommunicationResult.failure(topic,
new RejectedExecutionException("Ignore health check, already running..."));
} else {
this.kafkaCommunicationResult = KafkaCommunicationResult.success(topic);
}
}
});
}
@PreDestroy
void shutdown() {
running.set(false);
executor.shutdown();
producer.close();
consumer.close();
@ -135,64 +159,65 @@ public class KafkaConsumingHealthIndicator extends AbstractHealthIndicator {
}
}
private KafkaCommunicationResult sendAndReceiveMessage() {
private void sendMessage() {
Future<Void> sendReceiveTask = null;
try {
sendReceiveTask = executor.submit(() -> {
sendAndReceiveKafkaMessage();
sendKafkaMessage();
return null;
});
sendReceiveTask.get(sendReceiveTimeoutMs, MILLISECONDS);
this.kafkaCommunicationResult = KafkaCommunicationResult.success(topic);
} catch (ExecutionException e) {
logger.warn("Kafka health check execution failed.", e);
return KafkaCommunicationResult.failure(topic, e);
this.kafkaCommunicationResult = KafkaCommunicationResult.failure(topic, e);
} catch (TimeoutException | InterruptedException e) {
logger.warn("Kafka health check timed out.", e);
sendReceiveTask.cancel(true);
return KafkaCommunicationResult.failure(topic, e);
this.kafkaCommunicationResult = KafkaCommunicationResult.failure(topic, e);
} catch (RejectedExecutionException e) {
logger.debug("Ignore health check, already running...");
}
return KafkaCommunicationResult.success(topic);
}
private void sendAndReceiveKafkaMessage() throws Exception {
private void sendKafkaMessage() throws Exception {
String message = UUID.randomUUID().toString();
long startTime = System.currentTimeMillis();
logger.debug("Send health check message = {}", message);
producer.send(new ProducerRecord<>(topic, message, message)).get(sendReceiveTimeoutMs, MILLISECONDS);
while (messageNotReceived(message)) {
logger.debug("Waiting for message={}", message);
}
producer.send(new ProducerRecord<>(topic, message, message)).get(sendReceiveTimeoutMs, MILLISECONDS);
cacheService.write(message);
logger.debug("Kafka health check succeeded. took= {} msec", System.currentTimeMillis() - startTime);
}
private boolean messageNotReceived(String message) {
private boolean messageNotReceived() {
return StreamSupport.stream(consumer.poll(Duration.ofMillis(pollTimeoutMs)).spliterator(), false)
.noneMatch(msg -> msg.key().equals(message) && msg.value().equals(message));
.noneMatch(msg -> cacheService.get(msg.key()) == null);
}
@Override
protected void doHealthCheck(Health.Builder builder) {
KafkaCommunicationResult kafkaCommunicationResult = sendAndReceiveMessage();
sendMessage();
if (kafkaCommunicationResult.isFailure()) {
builder.down(kafkaCommunicationResult.getException())
.withDetail("topic", kafkaCommunicationResult.getTopic());
if (this.kafkaCommunicationResult.isFailure()) {
builder.down(this.kafkaCommunicationResult.getException())
.withDetail("topic", this.kafkaCommunicationResult.getTopic());
} else {
builder.up();
}
}
private long calculateCacheExpiration(long timeout) {
return (long) (timeout * 0.8);
}
}

8
src/main/java/com/deviceinsight/kafka/health/cache/CacheService.java vendored 100644
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@ -0,0 +1,8 @@
package com.deviceinsight.kafka.health.cache;
public interface CacheService<T> {
void write(T entry);
T get(T entry);
}

28
src/main/java/com/deviceinsight/kafka/health/cache/CaffeineCacheServiceImpl.java vendored 100644
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@ -0,0 +1,28 @@
package com.deviceinsight.kafka.health.cache;
import com.github.benmanes.caffeine.cache.Cache;
import com.github.benmanes.caffeine.cache.Caffeine;
import java.util.concurrent.TimeUnit;
public class CaffeineCacheServiceImpl implements CacheService<String> {
private final Cache<String, String> cache;
public CaffeineCacheServiceImpl(long expireAfterWrite) {
this.cache = Caffeine.newBuilder()
.expireAfterWrite(expireAfterWrite, TimeUnit.MILLISECONDS)
.recordStats()
.build();
}
@Override
public void write(String entry) {
this.cache.put(entry, entry);
}
@Override
public String get(String entry) {
return this.cache.getIfPresent(entry);
}
}

6
src/test/java/com/deviceinsight/kafka/health/KafkaConsumingHealthIndicatorTest.java
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@ -6,6 +6,7 @@ import static org.assertj.core.api.Assertions.assertThat;
import kafka.server.KafkaServer;
import org.apache.kafka.clients.consumer.Consumer;
import org.apache.kafka.common.serialization.StringDeserializer;
import org.awaitility.Awaitility;
import org.junit.jupiter.api.*;
import org.junit.jupiter.api.extension.ExtendWith;
import org.springframework.beans.factory.annotation.Autowired;
@ -64,15 +65,14 @@ public class KafkaConsumingHealthIndicatorTest {
final KafkaConsumingHealthIndicator healthIndicator =
new KafkaConsumingHealthIndicator(kafkaHealthProperties, kafkaProperties.buildConsumerProperties(),
kafkaProperties.buildProducerProperties());
healthIndicator.subscribeToTopic();
healthIndicator.subscribeAndSendMessage();
Health health = healthIndicator.health();
assertThat(health.getStatus()).isEqualTo(Status.UP);
shutdownKafka();
health = healthIndicator.health();
assertThat(health.getStatus()).isEqualTo(Status.DOWN);
Awaitility.await().untilAsserted(() -> assertThat(healthIndicator.health().getStatus()).isEqualTo(Status.DOWN));
}
private void shutdownKafka() {