Redis Sink Connector for Confluent Platform

The Kafka Connect Redis Sink connector is used to export data from Apache Kafka® topics to Redis.


The Kafka Connect Redis Sink connector includes the following features:

At least once delivery

This connector guarantees that records from the Kafka topic are delivered at least once.

Dead Letter Queue

This connector supports the Dead Letter Queue (DLQ) functionality. For information about accessing and using the DLQ, see Confluent Platform Dead Letter Queue.

Multiple tasks

The Redis Sink connector supports running one or more tasks. You can specify the number of tasks in the tasks.max configuration parameter. This can lead to performance gains when multiple files need to be parsed.

Storage of bytes and strings

This connector supports storing raw bytes or strings (as inserts) in Redis. If your keys and values in Kafka records are already serialized as strings, use the StringConverter with this connector to store the record key and value in Redis as strings:

Otherwise, use the ByteArrayConverter with this connector to store the binary serialized form (for example, JSON, Avro, Strings, etc.) of the Kafka record keys and values in Redis as byte arrays. Applications accessing these values can then read this information from Redis and deserialize the bytes into a usable form. If your data in Kafka is not in the format you want to persist in Redis, consider using a Single Message Transformation to convert the data to a byte array or string before it’s written to Redis.


This connector supports deletes. If the record stored in Kafka has a null value, this connector sends a delete with the corresponding key to Redis.


This connector expects non-null keys. Each Kafka record in exported topics must have an explicit key and value.


The Redis Sink connector is an open source connector and does not require a Confluent Enterprise License.

Configuration Properties

For a complete list of configuration properties for this connector, see Configuration Reference for Redis Sink Connector for Confluent Platform.

For an example of how to get Kafka Connect connected to Confluent Cloud, see Connect Self-Managed Kafka Connect to Confluent Cloud.

Install the Redis Sink Connector

You can install this connector by using the confluent connect plugin install command, or by manually downloading the ZIP file.


  • You must install the connector on every machine where Connect will run.

  • Kafka Broker: Confluent Platform 3.3.0 or later or Kafka 0.11.0 or later.

  • Connect: Confluent Platform 4.0 or later or Kafka 1.0 or later.

  • Java 1.8.

  • Redis Sink connector version or later.

  • Redis v5.0.0 or later. For more details, see the Redis release cycle document.

  • Lettuce (Redis client library) 5.1.6.RELEASE.

  • An installation of the latest (latest) connector version.

    To install the latest connector version, navigate to your Confluent Platform installation directory and run the following command:

    confluent connect plugin installjcustenborder/kafka-connect-redis:latest

    You can install a specific version by replacing latest with a version number as shown in the following example:

    confluent connect plugin installjcustenborder/kafka-connect-redis:1.0.0

Install the connector manually

Download and extract the ZIP file for your connector and then follow the manual connector installation instructions.

Quick Start

  1. Install Redis.

  2. Start the Redis server so it can start listening for Redis connections. This starts Redis using the default port 6379 and no password (for testing purposes only).

  3. Use the Redis CLI (redis-cli) to view any insertions being made. You can use the MONITOR command if the instance is being used only for this quick start test (see the note below).

    redis-cli MONITOR


    The MONITOR CLI command is a debugging command that streams back every command processed by the Redis server. It assists you in understanding what is happening to the database. However, using it comes at a performance cost. Do not use this in production environments.

  4. Install the connector. See installation instructions for details.

  5. Start the Confluent Platform.


    The command syntax for the Confluent CLI development commands changed in 5.3.0. These commands have been moved to confluent local. For example, the syntax for confluent start is now confluent local services start. For more information, see confluent local.

    confluent local services start


    Ensure your start the Confluent Platform after installing the connector. If not, you must restart the Connect workers to register the installation and to add the new connector location to the path.

  6. Ensure the installed connector has been identified by the Confluent Platform.

    confluent local services connect plugin list
  7. Produce test data to the users topic in Kafka.

    echo key1,value1 | confluent local services kafka produce users --property parse.key=true --property key.separator=,
    echo key2,value2 | confluent local services kafka produce users --property parse.key=true --property key.separator=,
    echo key3,value3 | confluent local services kafka produce users --property parse.key=true --property key.separator=,


    This connector expects non-null keys. The parse.key and key.separator properties ensure the exported records have explicit keys and values

  8. Create a file with the following properties:

  9. Start the connector.


    You must include a double dash (--) between the topic name and your flag. For more information, see this post.

    confluent local services connect connector load kafka-connect-redis --config
  10. Ensure the connector status is RUNNING.

    confluent local services connect connector status kafka-connect-redis
  11. Observe that data is flowing and the keys and values being inserted into Kafka are going to the desired Redis instance.

  12. Shut down Confluent Platform.

    confluent local destroy
  13. Stop the redis-server and redis-cli (use Ctrl+C).

REST-based example

This configuration is used typically along with distributed workers. Write the following JSON to kafka-connect-redis.json, configure all of the required values, and use the command below to post the configuration to one of the distributed connect workers. For more information about the Kafka Connect, see REST API.

    "name" : "kafka-connect-redis",
     "config" : {
        "name" : "kafka-connect-redis",
        "connector.class" : "com.github.jcustenborder.kafka.connect.redis.RedisSinkConnector",
        "topics" : "users",
        "tasks.max" : "1",
        "key.converter" : "",
        "value.converter" : ""

Use curl to post the configuration to one of the Kafka Connect Workers. Change http://localhost:8083/ the endpoint of one of your Kafka Connect workers.

curl -s -X POST -H 'Content-Type: application/json' --data @kafka-connect-redis.json http://localhost:8083/connectors