Configuring Kafka in DataHub

DataHub requires Kafka to operate. Kafka is used as a durable log that can be used to store inbound requests to update the Metadata Graph (Metadata Change Proposal), or as a change log detailing the updates that have been made to the Metadata Graph (Metadata Change Log).

Environment Variables

The following environment variables can be used to customize DataHub's connection to Kafka for the following DataHub components, each of which requires a connection to Kafka:

• metadata-service (datahub-gms container)
• (Advanced - if standalone consumers are deployed) mce-consumer-job (datahub-mce-consumer container)
• (Advanced - if standalone consumers are deployed) mae-consumer-job (datahub-mae-consumer container)
• (Advanced - if product analytics are enabled) datahub-frontend

Connection Configuration

With the exception of KAFKA_BOOTSTRAP_SERVER and KAFKA_SCHEMAREGISTRY_URL, Kafka is configured via spring-boot, specifically with KafkaProperties. See Integration Properties prefixed with spring.kafka.

Below is an example of how SASL/GSSAPI properties can be configured via environment variables:

export KAFKA_BOOTSTRAP_SERVER=broker:29092
export KAFKA_SCHEMAREGISTRY_URL=http://schema-registry:8081
export SPRING_KAFKA_PROPERTIES_SASL_KERBEROS_SERVICE_NAME=kafka
export SPRING_KAFKA_PROPERTIES_SECURITY_PROTOCOL=SASL_PLAINTEXT
export SPRING_KAFKA_PROPERTIES_SASL_JAAS_CONFIG=com.sun.security.auth.module.Krb5LoginModule required principal='principal@REALM' useKeyTab=true storeKey=true keyTab='/keytab';

Example: Connecting using AWS IAM (MSK)

Here is another example of how SASL_SSL can be configured for AWS_MSK_IAM when connecting to MSK using IAM via environment variables

SPRING_KAFKA_PROPERTIES_SECURITY_PROTOCOL=SASL_SSL
SPRING_KAFKA_PROPERTIES_SSL_TRUSTSTORE_LOCATION=/tmp/kafka.client.truststore.jks
SPRING_KAFKA_PROPERTIES_SASL_MECHANISM=AWS_MSK_IAM
SPRING_KAFKA_PROPERTIES_SASL_JAAS_CONFIG=software.amazon.msk.auth.iam.IAMLoginModule required;
SPRING_KAFKA_PROPERTIES_SASL_CLIENT_CALLBACK_HANDLER_CLASS=software.amazon.msk.auth.iam.IAMClientCallbackHandler

For more information about configuring these variables, check out Spring's Externalized Configuration to see how this works. Also see Kafka Connect Security for more ways to connect.

Topic Configuration

By default, DataHub relies on the a set of Kafka topics to operate. By default, they have the following names:

1. MetadataChangeProposal_v1
2. FailedMetadataChangeProposal_v1
3. MetadataChangeLog_Versioned_v1
4. MetadataChangeLog_Timeseries_v1
5. DataHubUsageEvent_v1: User behavior tracking event for UI
6. (Deprecated) MetadataChangeEvent_v4: Metadata change proposal messages
7. (Deprecated) MetadataAuditEvent_v4: Metadata change log messages
8. (Deprecated) FailedMetadataChangeEvent_v4: Failed to process #1 event
9. MetadataGraphEvent_v4:
10. MetadataGraphEvent_v4:
11. PlatformEvent_v1:
12. DataHubUpgradeHistory_v1: Notifies the end of DataHub Upgrade job so dependants can act accordingly (eg, startup). Note this topic requires special configuration: Infinite retention. Also, 1 partition is enough for the occasional traffic.

How Metadata Events relate to these topics is discussed at more length in Metadata Events.

We've included environment variables to customize the name each of these topics, for cases where an organization has naming rules for your topics.

Metadata Service (datahub-gms)

The following are environment variables you can use to configure topic names used in the Metadata Service container:

• METADATA_CHANGE_PROPOSAL_TOPIC_NAME: The name of the topic for Metadata Change Proposals emitted by the ingestion framework.
• FAILED_METADATA_CHANGE_PROPOSAL_TOPIC_NAME: The name of the topic for Metadata Change Proposals emitted when MCPs fail processing.
• METADATA_CHANGE_LOG_VERSIONED_TOPIC_NAME: The name of the topic for Metadata Change Logs that are produced for Versioned Aspects.
• METADATA_CHANGE_LOG_TIMESERIES_TOPIC_NAME: The name of the topic for Metadata Change Logs that are produced for Timeseries Aspects.
• PLATFORM_EVENT_TOPIC_NAME: The name of the topic for Platform Events (high-level semantic events).
• DATAHUB_USAGE_EVENT_NAME: The name of the topic for product analytics events.
• (Deprecated) METADATA_CHANGE_EVENT_NAME: The name of the metadata change event topic.
• (Deprecated) METADATA_AUDIT_EVENT_NAME: The name of the metadata audit event topic.
• (Deprecated) FAILED_METADATA_CHANGE_EVENT_NAME: The name of the failed metadata change event topic.

MCE Consumer (datahub-mce-consumer)

• METADATA_CHANGE_PROPOSAL_TOPIC_NAME: The name of the topic for Metadata Change Proposals emitted by the ingestion framework.
• FAILED_METADATA_CHANGE_PROPOSAL_TOPIC_NAME: The name of the topic for Metadata Change Proposals emitted when MCPs fail processing.
• (Deprecated) METADATA_CHANGE_EVENT_NAME: The name of the deprecated topic that an embedded MCE consumer will consume from.
• (Deprecated) FAILED_METADATA_CHANGE_EVENT_NAME: The name of the deprecated topic that failed MCEs will be written to.

MAE Consumer (datahub-mae-consumer)

• METADATA_CHANGE_LOG_VERSIONED_TOPIC_NAME: The name of the topic for Metadata Change Logs that are produced for Versioned Aspects.
• METADATA_CHANGE_LOG_TIMESERIES_TOPIC_NAME: The name of the topic for Metadata Change Logs that are produced for Timeseries Aspects.
• PLATFORM_EVENT_TOPIC_NAME: The name of the topic for Platform Events (high-level semantic events).
• DATAHUB_USAGE_EVENT_NAME: The name of the topic for product analytics events.
• (Deprecated) METADATA_AUDIT_EVENT_NAME: The name of the deprecated metadata audit event topic.

DataHub Frontend (datahub-frontend-react)

• DATAHUB_TRACKING_TOPIC: The name of the topic used for storing DataHub usage events. It should contain the same value as DATAHUB_USAGE_EVENT_NAME in the Metadata Service container.

Please ensure that these environment variables are set consistently throughout your ecosystem. DataHub has a few different applications running which communicate with Kafka (see above).

Configuring Consumer Group Id

Kafka Consumers in Spring are configured using Kafka listeners. By default, consumer group id is same as listener id.

We've included an environment variable to customize the consumer group id, if your company or organization has specific naming rules.

datahub-mce-consumer and datahub-mae-consumer

• KAFKA_CONSUMER_GROUP_ID: The name of the kafka consumer's group id.

datahub-mae-consumer MCL Hooks

By default, all MetadataChangeLog processing hooks execute as part of the same kafka consumer group based on the previously mentioned KAFKA_CONSUMER_GROUP_ID.

The various MCL Hooks could alsp be separated into separate groups which allows for controlling parallelization and prioritization of the hooks.

For example, the UpdateIndicesHook and SiblingsHook processing can be delayed by other hooks. Separating these hooks into their own group can reduce latency from these other hooks. The application.yaml configuration includes options for assigning a suffix to the consumer group, see consumerGroupSuffix.

Environment Variable	Default	Description
SIBLINGS_HOOK_CONSUMER_GROUP_SUFFIX	''	Siblings processing hook. Considered one of the primary hooks in the datahub-mae-consumer
UPDATE_INDICES_CONSUMER_GROUP_SUFFIX	''	Primary processing hook.
INGESTION_SCHEDULER_HOOK_CONSUMER_GROUP_SUFFIX	''	Scheduled ingestion hook.
INCIDENTS_HOOK_CONSUMER_GROUP_SUFFIX	''	Incidents hook.
ECE_CONSUMER_GROUP_SUFFIX	''	Entity Change Event hook which publishes to the Platform Events topic.
FORMS_HOOK_CONSUMER_GROUP_SUFFIX	''	Forms processing.

Applying Configurations

Docker

Simply add the above environment variables to the required docker.env files for the containers. These can be found inside the docker folder of the repository.

Helm

On Helm, you'll need to configure these environment variables using the extraEnvs sections of the specific container's configurations inside your values.yaml file.

datahub-gms: 
    ...
    extraEnvs:
      - name: METADATA_CHANGE_PROPOSAL_TOPIC_NAME
        value: "CustomMetadataChangeProposal_v1"
      - name: METADATA_CHANGE_LOG_VERSIONED_TOPIC_NAME
        value: "CustomMetadataChangeLogVersioned_v1"
      - name: FAILED_METADATA_CHANGE_PROPOSAL_TOPIC_NAME
        value: "CustomFailedMetadataChangeProposal_v1"
      - name: KAFKA_CONSUMER_GROUP_ID
        value: "my-apps-mae-consumer"
        ....
        
datahub-frontend:
    ...
    extraEnvs:
        - name: DATAHUB_TRACKING_TOPIC
          value: "MyCustomTrackingEvent"
      
# If standalone consumers are enabled
datahub-mae-consumer; 
    extraEnvs:
        - name: METADATA_CHANGE_LOG_VERSIONED_TOPIC_NAME
          value: "CustomMetadataChangeLogVersioned_v1"
          ....
        - name: METADATA_AUDIT_EVENT_NAME
          value: "MetadataAuditEvent"
datahub-mce-consumer; 
    extraEnvs:
        - name: METADATA_CHANGE_PROPOSAL_TOPIC_NAME
          value: "CustomMetadataChangeLogVersioned_v1"
          ....
        - name: METADATA_CHANGE_EVENT_NAME
          value: "MetadataChangeEvent"
        ....

Other Components that use Kafka can be configured using environment variables:

• kafka-setup
• schema-registry

SASL/GSSAPI properties for kafka-setup and datahub-frontend via environment variables

KAFKA_BOOTSTRAP_SERVER=broker:29092
KAFKA_SCHEMAREGISTRY_URL=http://schema-registry:8081
KAFKA_PROPERTIES_SASL_KERBEROS_SERVICE_NAME=kafka
KAFKA_PROPERTIES_SECURITY_PROTOCOL=SASL_PLAINTEXT
KAFKA_PROPERTIES_SASL_JAAS_CONFIG=com.sun.security.auth.module.Krb5LoginModule required principal='principal@REALM' useKeyTab=true storeKey=true keyTab='/keytab';

SASL/GSSAPI properties for schema-registry via environment variables

SCHEMA_REGISTRY_KAFKASTORE_BOOTSTRAP_SERVERS=broker:29092
SCHEMA_REGISTRY_KAFKASTORE_SASL_KERBEROS_SERVICE_NAME=kafka
SCHEMA_REGISTRY_KAFKASTORE_SECURITY_PROTOCOL=SASL_PLAINTEXT
SCHEMA_REGISTRY_KAFKASTORE_SASL_JAAS_CONFIG=com.sun.security.auth.module.Krb5LoginModule required principal='principal@REALM' useKeyTab=true storeKey=true keyTab='/keytab';

SSL

Kafka

We are using the Spring Boot framework to start our apps, including setting up Kafka. You can use environment variables to set system properties, including Kafka properties. From there you can set your SSL configuration for Kafka.

Schema Registry

If Schema Registry is configured to use security (SSL), then you also need to set additional values.

The MCE and MAE consumers can set default Spring Kafka environment values, for example:

• SPRING_KAFKA_PROPERTIES_SCHEMA_REGISTRY_SECURITY_PROTOCOL
• SPRING_KAFKA_PROPERTIES_SCHEMA_REGISTRY_SSL_KEYSTORE_LOCATION
• SPRING_KAFKA_PROPERTIES_SCHEMA_REGISTRY_SSL_KEYSTORE_PASSWORD
• SPRING_KAFKA_PROPERTIES_SCHEMA_REGISTRY_SSL_TRUSTSTORE_LOCATION
• SPRING_KAFKA_PROPERTIES_SCHEMA_REGISTRY_SSL_TRUSTSTORE_PASSWORD

GMS can set the following environment variables that will be passed as properties when creating the Schema Registry Client.

• KAFKA_SCHEMA_REGISTRY_SECURITY_PROTOCOL
• KAFKA_SCHEMA_REGISTRY_SSL_KEYSTORE_LOCATION
• KAFKA_SCHEMA_REGISTRY_SSL_KEYSTORE_PASSWORD
• KAFKA_SCHEMA_REGISTRY_SSL_TRUSTSTORE_LOCATION
• KAFKA_SCHEMA_REGISTRY_SSL_TRUSTSTORE_PASSWORD

Note In the logs you might see something like The configuration 'kafkastore.ssl.truststore.password' was supplied but isn't a known config. The configuration is not a configuration required for the producer. These WARN message can be safely ignored. Each of Datahub services are passed a full set of configuration but may not require all the configurations that are passed to them. These warn messages indicate that the service was passed a configuration that is not relevant to it and can be safely ignored.

Other errors: Failed to start bean 'org.springframework.kafka.config.internalKafkaListenerEndpointRegistry'; nested exception is org.apache.kafka.common.errors.TopicAuthorizationException: Not authorized to access topics: [DataHubUsageEvent_v1]. Please check ranger permissions or kafka broker logs.