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feat(mcl-processor): Update mcl processor hooks #11134

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Original file line number Diff line number Diff line change
Expand Up @@ -18,8 +18,6 @@
"com.linkedin.metadata.service",
"com.datahub.event",
"com.linkedin.gms.factory.kafka",
"com.linkedin.gms.factory.kafka.common",
"com.linkedin.gms.factory.kafka.schemaregistry",
"com.linkedin.metadata.boot.kafka",
"com.linkedin.metadata.kafka",
"com.linkedin.metadata.dao.producer",
Expand All @@ -34,7 +32,10 @@
"com.linkedin.gms.factory.context",
"com.linkedin.gms.factory.timeseries",
"com.linkedin.gms.factory.assertion",
"com.linkedin.gms.factory.plugins"
"com.linkedin.gms.factory.plugins",
"com.linkedin.gms.factory.change",
"com.datahub.event.hook",
"com.linkedin.gms.factory.notifications"
},
excludeFilters = {
@ComponentScan.Filter(
Expand Down
Original file line number Diff line number Diff line change
@@ -0,0 +1,103 @@
package com.linkedin.metadata.kafka;

import com.codahale.metrics.Histogram;
import com.codahale.metrics.MetricRegistry;
import com.codahale.metrics.Timer;
import com.linkedin.metadata.EventUtils;
import com.linkedin.metadata.kafka.hook.MetadataChangeLogHook;
import com.linkedin.metadata.utils.metrics.MetricUtils;
import com.linkedin.mxe.MetadataChangeLog;
import io.datahubproject.metadata.context.OperationContext;
import java.util.List;
import java.util.stream.Collectors;
import lombok.extern.slf4j.Slf4j;
import org.apache.avro.generic.GenericRecord;
import org.apache.kafka.clients.consumer.ConsumerRecord;

@Slf4j
public class MCLKafkaListener {
private static final Histogram kafkaLagStats =
MetricUtils.get()
.histogram(
MetricRegistry.name(
"com.linkedin.metadata.kafka.MetadataChangeLogProcessor", "kafkaLag"));

private final String consumerGroupId;
private final List<MetadataChangeLogHook> hooks;

public MCLKafkaListener(
OperationContext systemOperationContext,
String consumerGroup,
List<MetadataChangeLogHook> hooks) {
this.consumerGroupId = consumerGroup;
this.hooks = hooks;
this.hooks.forEach(hook -> hook.init(systemOperationContext));

log.info(
"Enabled MCL Hooks - Group: {} Hooks: {}",
consumerGroup,
hooks.stream().map(hook -> hook.getClass().getSimpleName()).collect(Collectors.toList()));
}

public void consume(final ConsumerRecord<String, GenericRecord> consumerRecord) {
try (Timer.Context i = MetricUtils.timer(this.getClass(), "consume").time()) {
kafkaLagStats.update(System.currentTimeMillis() - consumerRecord.timestamp());
final GenericRecord record = consumerRecord.value();
log.debug(
"Got MCL event consumer: {} key: {}, topic: {}, partition: {}, offset: {}, value size: {}, timestamp: {}",
consumerGroupId,
consumerRecord.key(),
consumerRecord.topic(),
consumerRecord.partition(),
consumerRecord.offset(),
consumerRecord.serializedValueSize(),
consumerRecord.timestamp());
MetricUtils.counter(this.getClass(), consumerGroupId + "_received_mcl_count").inc();

MetadataChangeLog event;
try {
event = EventUtils.avroToPegasusMCL(record);
} catch (Exception e) {
MetricUtils.counter(
this.getClass(), consumerGroupId + "_avro_to_pegasus_conversion_failure")
.inc();
log.error("Error deserializing message due to: ", e);
log.error("Message: {}", record.toString());
return;
}

log.info(
"Invoking MCL hooks for consumer: {} urn: {}, aspect name: {}, entity type: {}, change type: {}",
consumerGroupId,
event.getEntityUrn(),
event.hasAspectName() ? event.getAspectName() : null,
event.hasEntityType() ? event.getEntityType() : null,
event.hasChangeType() ? event.getChangeType() : null);

// Here - plug in additional "custom processor hooks"
for (MetadataChangeLogHook hook : this.hooks) {
log.info(
"Invoking MCL hook {} for urn: {}",
hook.getClass().getSimpleName(),
event.getEntityUrn());
try (Timer.Context ignored =
MetricUtils.timer(this.getClass(), hook.getClass().getSimpleName() + "_latency")
.time()) {
hook.invoke(event);
} catch (Exception e) {
// Just skip this hook and continue. - Note that this represents "at most once"//
// processing.
MetricUtils.counter(this.getClass(), hook.getClass().getSimpleName() + "_failure").inc();
log.error(
"Failed to execute MCL hook with name {}", hook.getClass().getCanonicalName(), e);
}
}
// TODO: Manually commit kafka offsets after full processing.
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Consider implementing manual offset commits.

The TODO comment suggests implementing manual offset commits after full processing. This can ensure that messages are only marked as processed after successful execution of all hooks, reducing the risk of message loss.

Would you like assistance in implementing manual offset commits?

MetricUtils.counter(this.getClass(), consumerGroupId + "_consumed_mcl_count").inc();
log.info(
"Successfully completed MCL hooks for consumer: {} urn: {}",
consumerGroupId,
event.getEntityUrn());
}
}
}
Original file line number Diff line number Diff line change
@@ -0,0 +1,120 @@
package com.linkedin.metadata.kafka;

import com.linkedin.metadata.kafka.config.MetadataChangeLogProcessorCondition;
import com.linkedin.metadata.kafka.hook.MetadataChangeLogHook;
import com.linkedin.mxe.Topics;
import io.datahubproject.metadata.context.OperationContext;
import java.util.Comparator;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;
import javax.annotation.Nonnull;
import lombok.SneakyThrows;
import lombok.extern.slf4j.Slf4j;
import org.apache.avro.generic.GenericRecord;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.springframework.beans.factory.InitializingBean;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Conditional;
import org.springframework.kafka.annotation.EnableKafka;
import org.springframework.kafka.config.KafkaListenerContainerFactory;
import org.springframework.kafka.config.KafkaListenerEndpoint;
import org.springframework.kafka.config.KafkaListenerEndpointRegistry;
import org.springframework.kafka.config.MethodKafkaListenerEndpoint;
import org.springframework.messaging.handler.annotation.support.DefaultMessageHandlerMethodFactory;
import org.springframework.stereotype.Component;

@Slf4j
@EnableKafka
@Component
@Conditional(MetadataChangeLogProcessorCondition.class)
public class MCLKafkaListenerRegistrar implements InitializingBean {

@Autowired
@Qualifier("systemOperationContext")
private OperationContext systemOperationContext;

@Autowired private KafkaListenerEndpointRegistry kafkaListenerEndpointRegistry;

@Autowired
@Qualifier("kafkaEventConsumer")
private KafkaListenerContainerFactory<?> kafkaListenerContainerFactory;

@Value("${METADATA_CHANGE_LOG_KAFKA_CONSUMER_GROUP_ID:generic-mae-consumer-job-client}")
private String consumerGroupBase;

@Value("${METADATA_CHANGE_LOG_VERSIONED_TOPIC_NAME:" + Topics.METADATA_CHANGE_LOG_VERSIONED + "}")
private String mclVersionedTopicName;

@Value(
"${METADATA_CHANGE_LOG_TIMESERIES_TOPIC_NAME:" + Topics.METADATA_CHANGE_LOG_TIMESERIES + "}")
private String mclTimeseriesTopicName;

@Autowired private List<MetadataChangeLogHook> metadataChangeLogHooks;

@Override
public void afterPropertiesSet() {
Map<String, List<MetadataChangeLogHook>> hookGroups =
getMetadataChangeLogHooks().stream()
.collect(Collectors.groupingBy(MetadataChangeLogHook::getConsumerGroupSuffix));

log.info(
"MetadataChangeLogProcessor Consumer Groups: {}",
hookGroups.keySet().stream().map(this::buildConsumerGroupName).collect(Collectors.toSet()));

hookGroups.forEach(
(key, hooks) -> {
KafkaListenerEndpoint kafkaListenerEndpoint =
createListenerEndpoint(
buildConsumerGroupName(key),
List.of(mclVersionedTopicName, mclTimeseriesTopicName),
hooks);
registerMCLKafkaListener(kafkaListenerEndpoint, true);
});
}
Comment on lines +58 to +76
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Consider Error Handling for Hook Registration.

The afterPropertiesSet method registers Kafka listeners for each consumer group. Consider adding error handling to manage potential issues during listener registration, such as invalid configurations or connectivity problems.

try {
  registerMCLKafkaListener(kafkaListenerEndpoint, true);
} catch (Exception e) {
  log.error("Failed to register Kafka listener for consumer group: {}", key, e);
}


public List<MetadataChangeLogHook> getMetadataChangeLogHooks() {
return metadataChangeLogHooks.stream()
.filter(MetadataChangeLogHook::isEnabled)
.sorted(Comparator.comparing(MetadataChangeLogHook::executionOrder))
.toList();
}

@SneakyThrows
public void registerMCLKafkaListener(
KafkaListenerEndpoint kafkaListenerEndpoint, boolean startImmediately) {
kafkaListenerEndpointRegistry.registerListenerContainer(
kafkaListenerEndpoint, kafkaListenerContainerFactory, startImmediately);
}

private KafkaListenerEndpoint createListenerEndpoint(
String consumerGroupId, List<String> topics, List<MetadataChangeLogHook> hooks) {
MethodKafkaListenerEndpoint<String, GenericRecord> kafkaListenerEndpoint =
new MethodKafkaListenerEndpoint<>();
kafkaListenerEndpoint.setId(consumerGroupId);
kafkaListenerEndpoint.setGroupId(consumerGroupId);
kafkaListenerEndpoint.setAutoStartup(true);
kafkaListenerEndpoint.setTopics(topics.toArray(new String[topics.size()]));
kafkaListenerEndpoint.setMessageHandlerMethodFactory(new DefaultMessageHandlerMethodFactory());
kafkaListenerEndpoint.setBean(
new MCLKafkaListener(systemOperationContext, consumerGroupId, hooks));
try {
kafkaListenerEndpoint.setMethod(
MCLKafkaListener.class.getMethod("consume", ConsumerRecord.class));
} catch (NoSuchMethodException e) {
throw new RuntimeException(e);
}

return kafkaListenerEndpoint;
}

private String buildConsumerGroupName(@Nonnull String suffix) {
if (suffix.isEmpty()) {
return consumerGroupBase;
} else {
return String.join("-", consumerGroupBase, suffix);
}
}
}

This file was deleted.

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