Important

You are viewing documentation for an older version of Confluent Platform. For the latest, click here.

Rust

In this tutorial, you will run a Rust 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

Kafka Cluster

  • You can use this tutorial with a Kafka cluster in any environment:
  • 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 Rust.

    cd clients/cloud/rust/

  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 Consumer and Producer

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. Build the producer and consumer binaries:

    cargo build

    You should see:

    Compiling rust_kafka_client_example v0.1.0 (/path/to/repo/examples/clients/cloud/rust)
Finished dev [unoptimized + debuginfo] target(s) in 2.85s

  2. Run the producer, passing in arguments for:

    • the local file with configuration parameters to connect to your Kafka cluster
    • the topic name
    ./target/debug/producer --config $HOME/.confluent/librdkafka.config --topic test1

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

    Preparing to produce record: alice 0
Preparing to produce record: alice 1
Preparing to produce record: alice 2
Preparing to produce record: alice 3
Preparing to produce record: alice 4
Preparing to produce record: alice 5
Preparing to produce record: alice 6
Preparing to produce record: alice 7
Preparing to produce record: alice 8
Successfully produced record to topic test1 partition [5] @ offset 117
Successfully produced record to topic test1 partition [5] @ offset 118
Successfully produced record to topic test1 partition [5] @ offset 119
Successfully produced record to topic test1 partition [5] @ offset 120
Successfully produced record to topic test1 partition [5] @ offset 121
Successfully produced record to topic test1 partition [5] @ offset 122
Successfully produced record to topic test1 partition [5] @ offset 123
Successfully produced record to topic test1 partition [5] @ offset 124
Successfully produced record to topic test1 partition [5] @ offset 125

  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
    ./target/debug/consumer --config $HOME/.confluent/librdkafka.config --topic test1

  2. Verify the consumer received all the messages. You should see:

    Consumed record from topic test1 partition [5] @ offset 117 with key alice and value 0
Consumed record from topic test1 partition [5] @ offset 118 with key alice and value 1
Consumed record from topic test1 partition [5] @ offset 119 with key alice and value 2
Consumed record from topic test1 partition [5] @ offset 120 with key alice and value 3
Consumed record from topic test1 partition [5] @ offset 121 with key alice and value 4
Consumed record from topic test1 partition [5] @ offset 122 with key alice and value 5
Consumed record from topic test1 partition [5] @ offset 123 with key alice and value 6
Consumed record from topic test1 partition [5] @ offset 124 with key alice and value 7
Consumed record from topic test1 partition [5] @ offset 125 with key alice and value 8

  3. View the consumer code.