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Ruby

In this tutorial, you will run a ZenDesk Ruby client application that produces messages to and consumes messages from an Apache Kafka® cluster.

After you run the tutorial, view the provided source code and use it as a reference to develop your own Kafka client application.

Prerequisites

Client

• Bundler installed on your machine. Install using gem install bundler.

Kafka Cluster

• You can use this tutorial with a Kafka cluster in any environment:
  • In Confluent Cloud
  • On your local host
  • Any remote Kafka cluster
• If you are running on Confluent Cloud, you must have access to a Confluent Cloud cluster
  • The first 20 users to sign up for Confluent Cloud and use promo code C50INTEG will receive an additional $50 free usage (details)

Setup

1. Clone the confluentinc/examples GitHub repository and check out the 5.5.15-post branch.

   git clone https://github.com/confluentinc/examples
   cd examples
   git checkout 5.5.15-post
   

2. Change directory to the example for Ruby.

   cd clients/cloud/ruby/
   

3. Create a local file (for example, at $HOME/.confluent/librdkafka.config) with configuration parameters to connect to your Kafka cluster. Starting with one of the templates below, customize the file with connection information to your cluster. Substitute your values for {{ BROKER_ENDPOINT }}, {{CLUSTER_API_KEY }}, and {{ CLUSTER_API_SECRET }} (see Connecting Clients to Confluent Cloud for instructions on how to create or find those values).

   • Template configuration file for Confluent Cloud

     # Kafka
     bootstrap.servers={{ BROKER_ENDPOINT }}
     security.protocol=SASL_SSL
     sasl.mechanisms=PLAIN
     sasl.username={{ CLUSTER_API_KEY }}
     sasl.password={{ CLUSTER_API_SECRET }}
     

   • Template configuration file for local host

     # Kafka
     bootstrap.servers=localhost:9092
     

Basic Producer and Consumer

In this example, the producer application writes Kafka data to a topic in your Kafka cluster. If the topic does not already exist in your Kafka cluster, the producer application will use the Kafka Admin Client API to create the topic. Each record written to Kafka has a key representing a username (for example, alice) and a value of a count, formatted as json (for example, {"count": 0}). The consumer application reads the same Kafka topic and keeps a rolling sum of the count as it processes each record.

Produce Records

1. Install gems:

   bundle install
   

2. Run the producer, passing in arguments for:

   • the local file with configuration parameters to connect to your Kafka cluster
   • the topic name

   ruby producer.rb -f $HOME/.confluent/librdkafka.config --topic test1
   

3. Verify the producer sent all the messages. You should see:

   Creating topic test1
   Producing record: alice {"count":0}
   Producing record: alice {"count":1}
   Producing record: alice {"count":2}
   Producing record: alice {"count":3}
   Producing record: alice {"count":4}
   Producing record: alice {"count":5}
   Producing record: alice {"count":6}
   Producing record: alice {"count":7}
   Producing record: alice {"count":8}
   Producing record: alice {"count":9}
   10 messages were successfully produced to topic test1!
   

4. View the producer code.

Consume Records

1. Run the consumer, passing in arguments for:

   • the local file with configuration parameters to connect to your Kafka cluster
   • the topic name you used earlier

   ruby consumer.rb -f $HOME/.confluent/librdkafka.config --topic test1
   

2. Verify the consumer received all the messages:

   Consuming messages from test1
   Consumed record with key alice and value {"count":0}, and updated total count 0
   Consumed record with key alice and value {"count":1}, and updated total count 1
   Consumed record with key alice and value {"count":2}, and updated total count 3
   Consumed record with key alice and value {"count":3}, and updated total count 6
   Consumed record with key alice and value {"count":4}, and updated total count 10
   Consumed record with key alice and value {"count":5}, and updated total count 15
   Consumed record with key alice and value {"count":6}, and updated total count 21
   Consumed record with key alice and value {"count":7}, and updated total count 28
   Consumed record with key alice and value {"count":8}, and updated total count 36
   Consumed record with key alice and value {"count":9}, and updated total count 45
   ...
   

3. View the consumer code.