Edit

Share via

Integrate Apache Kafka Connect support on Azure Event Hubs

  • Article

Apache Kafka Connect is a framework to connect and import/export data from/to any external system such as MySQL, HDFS, and file system through a Kafka cluster. This article walks you through using Kafka Connect framework with Event Hubs.

This article walks you through integrating Kafka Connect with an event hub and deploying basic FileStreamSource and FileStreamSink connectors. While these connectors aren't meant for production use, they demonstrate an end-to-end Kafka Connect scenario where Azure Event Hubs acts as a Kafka broker.

Note

This sample is available on GitHub.

Prerequisites

To complete this walkthrough, make sure you have the following prerequisites:

Create an Event Hubs namespace

An Event Hubs namespace is required to send and receive from any Event Hubs service. See Creating an event hub for instructions to create a namespace and an event hub. Get the Event Hubs connection string and fully qualified domain name (FQDN) for later use. For instructions, see Get an Event Hubs connection string.

Clone the example project

Clone the Azure Event Hubs repository and navigate to the tutorials/connect subfolder:

Bash 
git clone https://github.com/Azure/azure-event-hubs-for-kafka.git
cd azure-event-hubs-for-kafka/tutorials/connect

Configure Kafka Connect for Event Hubs

Minimal reconfiguration is necessary when redirecting Kafka Connect throughput from Kafka to Event Hubs. The following connect-distributed.properties sample illustrates how to configure Connect to authenticate and communicate with the Kafka endpoint on Event Hubs:

properties 
# e.g. namespace.servicebus.windows.net:9093
bootstrap.servers={YOUR.EVENTHUBS.FQDN}:9093
group.id=connect-cluster-group

# connect internal topic names, auto-created if not exists
config.storage.topic=connect-cluster-configs
offset.storage.topic=connect-cluster-offsets
status.storage.topic=connect-cluster-status

# internal topic replication factors - auto 3x replication in Azure Storage
config.storage.replication.factor=1
offset.storage.replication.factor=1
status.storage.replication.factor=1

rest.advertised.host.name=connect
offset.flush.interval.ms=10000

key.converter=org.apache.kafka.connect.json.JsonConverter
value.converter=org.apache.kafka.connect.json.JsonConverter
internal.key.converter=org.apache.kafka.connect.json.JsonConverter
internal.value.converter=org.apache.kafka.connect.json.JsonConverter

internal.key.converter.schemas.enable=false
internal.value.converter.schemas.enable=false

# required EH Kafka security settings
security.protocol=SASL_SSL
sasl.mechanism=PLAIN
sasl.jaas.config=org.apache.kafka.common.security.plain.PlainLoginModule required username="$ConnectionString" password="{YOUR.EVENTHUBS.CONNECTION.STRING}";

producer.security.protocol=SASL_SSL
producer.sasl.mechanism=PLAIN
producer.sasl.jaas.config=org.apache.kafka.common.security.plain.PlainLoginModule required username="$ConnectionString" password="{YOUR.EVENTHUBS.CONNECTION.STRING}";

consumer.security.protocol=SASL_SSL
consumer.sasl.mechanism=PLAIN
consumer.sasl.jaas.config=org.apache.kafka.common.security.plain.PlainLoginModule required username="$ConnectionString" password="{YOUR.EVENTHUBS.CONNECTION.STRING}";

# path to the libs directory within the Kafka release
plugin.path={KAFKA.DIRECTORY}/libs

Important

Replace {YOUR.EVENTHUBS.CONNECTION.STRING} with the connection string for your Event Hubs namespace. For instructions on getting the connection string, see Get an Event Hubs connection string. Here's an example configuration: sasl.jaas.config=org.apache.kafka.common.security.plain.PlainLoginModule required username="$ConnectionString" password="Endpoint=sb://mynamespace.servicebus.windows.net/;SharedAccessKeyName=RootManageSharedAccessKey;SharedAccessKey=XXXXXXXXXXXXXXXX";

Run Kafka Connect

In this step, a Kafka Connect worker is started locally in distributed mode, using Event Hubs to maintain cluster state.

  1. Save the connect-distributed.properties file locally. Be sure to replace all values in braces.
  2. Navigate to the location of the Kafka release on your machine.
  3. Run ./bin/connect-distributed.sh /PATH/TO/connect-distributed.properties. The Connect worker REST API is ready for interaction when you see 'INFO Finished starting connectors and tasks'.

Note

Kafka Connect uses the Kafka AdminClient API to automatically create topics with recommended configurations, including compaction. A quick check of the namespace in the Azure portal reveals that the Connect worker's internal topics have been created automatically.

Kafka Connect internal topics must use compaction. The Event Hubs team isn't responsible for fixing improper configurations if internal Connect topics are incorrectly configured.

Create connectors

This section walks you through spinning up FileStreamSource and FileStreamSink connectors.

  1. Create a directory for input and output data files.

    Bash 
    mkdir ~/connect-quickstart

  2. Create two files: one file with seed data from which the FileStreamSource connector reads, and another to which our FileStreamSink connector writes.

    Bash 
    seq 1000 > ~/connect-quickstart/input.txt
touch ~/connect-quickstart/output.txt

  3. Create a FileStreamSource connector. Be sure to replace the curly braces with your home directory path.

    Bash 
    curl -s -X POST -H "Content-Type: application/json" --data '{"name": "file-source","config": {"connector.class":"org.apache.kafka.connect.file.FileStreamSourceConnector","tasks.max":"1","topic":"connect-quickstart","file": "{YOUR/HOME/PATH}/connect-quickstart/input.txt"}}' http://localhost:8083/connectors

    You should see the event hub connect-quickstart on your Event Hubs instance after running the command.

  4. Check status of source connector.

    Bash 
    curl -s http://localhost:8083/connectors/file-source/status

    Optionally, you can use Service Bus Explorer to verify that events arrived in the connect-quickstart topic.

  5. Create a FileStreamSink Connector. Again, make sure you replace the curly braces with your home directory path.

    Bash 
    curl -X POST -H "Content-Type: application/json" --data '{"name": "file-sink", "config": {"connector.class":"org.apache.kafka.connect.file.FileStreamSinkConnector", "tasks.max":"1", "topics":"connect-quickstart", "file": "{YOUR/HOME/PATH}/connect-quickstart/output.txt"}}' http://localhost:8083/connectors

  6. Check the status of sink connector.

    Bash 
    curl -s http://localhost:8083/connectors/file-sink/status

  7. Verify that data has been replicated between files and that the data is identical across both files.

    Bash 
    # read the file
cat ~/connect-quickstart/output.txt
# diff the input and output files
diff ~/connect-quickstart/input.txt ~/connect-quickstart/output.txt

Cleanup

Kafka Connect creates Event Hubs topics to store configurations, offsets, and status that persist even after the Connect cluster has been taken down. Unless this persistence is desired, we recommend that you delete these topics. You might also want to delete the connect-quickstart Event Hubs that were created during this walkthrough.

Related content

To learn more about Event Hubs for Kafka, see the following articles: