Mirroring Kafka Clusters

Overview

In this use case, we set up two independent Kafka brokers locally, and use Brooklin to mirror data between them.

Use Case Summary

• Source: Kafka
• Destination: Kafka
• Connector: KafkaMirrorMakerConnector
• Transport Provider: KafkaTransportProvider

Instructions

1. Set up Two Independent Kafka Servers

1. Download the latest Kafka tarball and untar it.

   tar -xzf kafka_2.12-2.2.0.tgz
   cd kafka_2.12-2.2.0

2. Create two different server.properties files for the two different Kafka servers.

   cp config/server.properties config/server-src.properties
   cp config/server.properties config/server-dest.properties

3. Edit these two config files to specify different values for the log.dirs, zookeeper.connect, and listeners config properties. You can do this manually or use the commands below.

   sed -ie 's/\/tmp\/kafka-logs/\/tmp\/kafka-logs\/src/; s/localhost:2181/localhost:2181\/src/' config/server-src.properties 
   echo listeners=PLAINTEXT://:9092 >> config/server-src.properties
   
   sed -ie 's/\/tmp\/kafka-logs/\/tmp\/kafka-logs\/dest/; s/localhost:2181/localhost:2181\/dest/' config/server-dest.properties
   echo listeners=PLAINTEXT://:9093 >> config/server-dest.properties

4. Start a ZooKeeper server

   bin/zookeeper-server-start.sh config/zookeeper.properties > /dev/null & 

5. Start two Kafka servers (we'll call them source and destination)

   bin/kafka-server-start.sh config/server-src.properties > /dev/null  &
   bin/kafka-server-start.sh config/server-dest.properties > /dev/null &

2. Create Kafka Topics in the Source Server

1. Create three topics in the source Kafka server

   bin/kafka-topics.sh --topic first-topic --bootstrap-server localhost:9092 --create --replication-factor 1 --partitions 1 
   bin/kafka-topics.sh --topic second-topic --bootstrap-server localhost:9092 --create --replication-factor 1 --partitions 1  
   bin/kafka-topics.sh --topic third-topic --bootstrap-server localhost:9092 --create --replication-factor 1 --partitions 1

2. Populate the topics you created with some data

   # We use the LICENSE and NOTICE files packaged in the Kafka tarball
   
    cat LICENSE | bin/kafka-console-producer.sh --topic first-topic --broker-list localhost:9092
    cat NOTICE | bin/kafka-console-producer.sh --topic second-topic --broker-list localhost:9092
    cat NOTICE | bin/kafka-console-producer.sh --topic third-topic --broker-list localhost:9092 

2. Set up Brooklin

1. Download the latest tarball (tgz) from Brooklin releases
2. Untar the Brooklin tarball

   tar -xzf brooklin-1.0.0.tgz
   cd brooklin-1.0.0 

3. Run Brooklin

   bin/brooklin-server-start.sh config/server.properties > /dev/null 2>&1 &

3. Create a Datastream

1. Create a datastream to mirror only the first two Kafka topics you created, first-topic and second-topic, from the source to the destination Kafka server.

   Notice how we use a regex (-s option in the command below) to select the topics we are interested in. The pattern we specify intentionally excludes third-topic.

   bin/brooklin-rest-client.sh -o CREATE -u http://localhost:32311/ -n first-mirroring-stream -s "kafka://localhost:9092/^(first|second)-topic$" -c kafkaConnector -t kafkaTransportProvider -m '{"owner":"test-user","system.reuseExistingDestination":"false"}'

   Here are the options we used to create this datastream:

   -o CREATE                                         The operation is datastream creation
   -u http://localhost:32311/                        Datstream Management Service URI
   -n first-file-datastream                          Datastream name
   -s kafka://localhost:9092/^(first|second)-topic$  Datastream source URI
   -c kafkaConnector                                 Connector name ("kafkaConnector" refers to KafkaMirrorConnector)
   -t kafkaTransportProvider                         Transport provider name ("kafkaTransportProvider" refers to KafkaTransportProvider)
   -m '{"owner":"test-user",
        "system.reuseExistingDestination": "false"}' Datastream metadata
   

   • For the datastream source (-s) option in this example, it is required to specify a URI that starts with kafka:// or kafkassl://.

   • For the datastream metadata (-m) option

     • Specifying an owner is mandatory

     • Setting system.reuseExistingDestination to false keeps Brooklin

       from reusing an existing Kafka topic (if any) in the destination Kafka server

   Check the KafkaMirrorConnector wiki page to learn more about its various configuration options.

2. Verify the datastream creation by requesting all datastream metadata from Brooklin.

   bin/brooklin-rest-client.sh -o READALL -u http://localhost:32311/

   Notice the connectionString values under source and destination

3. Additionally, you can view some more information about the different Datastreams and DatastreamTasks by querying the health monitoring REST endpoint of the Datastream Management Service.

   curl -s "http://localhost:32311/health"

4. Verify Topic Mirroring

1. Verify that only first-topic and second-topic were created in the destination Kafka server by running:

   bin/kafka-topics.sh --bootstrap-server localhost:9093 --list

2. Verify the created topics have the right contents by running:

   bin/kafka-console-consumer.sh --topic first-topic --bootstrap-server localhost:9093 --from-beginning
   bin/kafka-console-consumer.sh --topic second-topic --bootstrap-server localhost:9093 --from-beginning

5. See Mirroring in Action!

1. Use the Kafka console consumer to read from the Kafka topic, first-topic, that Brooklin created in the destination server.

   bin/kafka-console-consumer.sh --topic first-topic --bootstrap-server localhost:9093 --from-beginning

2. Open another terminal window, and launch the Kafka console producer configuring it to write to first-topic in the source server.

   bin/kafka-console-producer.sh --topic first-topic --broker-list localhost:9092 

3. Start typing text in the Kafka producer terminal. Hit enter then observe the Kafka consumer terminal you launched in step 1. You should see the message as it got mirrored to the destination server.

6. Pause and Resume

• You can stop mirroring temporarily by pausing the datasteam

  bin/brooklin-rest-client.sh -o PAUSE -n first-mirroring-stream -u http://localhost:32311/ 

• Similarly, you can re-enable mirroring by resuming the datastream

  bin/brooklin-rest-client.sh -o RESUME -n first-mirroring-stream -u http://localhost:32311/ 

7. Stop Brooklin, Kafka, and ZooKeeper

When you are done, run the following commands to stop all running apps.

# Replace <brooklin-dir> and <kafka-dir> with Brooklin and Kafka directories, respectively

<brooklin-dir>/bin/brooklin-server-stop.sh
<kafka-dir>/bin/kafka-server-stop.sh
<kafka-dir>/bin/zookeeper-server-stop.sh