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  1. Apache Kafka® provides a suite of command-line interface (CLI) tools that can be accessed from the /bin directory after downloading and extracting the Kafka files. These tools offer a range of capabilities, including starting and stopping Kafka, managing topics, and handling partitions.

    • Design Overview

      Topics in this section¶. The topics in this section are an...

    • Replication

      In Kafka, all topics must have a replication factor...

    • Kafka APIs

      Use these APIs to implement your own components that consume...

    • Kafka and the File System

      Kafka has access to virtually unlimited disk space without...

  2. 4 dni temu · Access control for topic creation has also been improved to enable access to be granted to create specific topics or topics with a prefix. KIP-255 adds a framework for authenticating to Kafka brokers using OAuth2 bearer tokens.

  3. Install Confluent CLI¶ This topic describes how to install the Confluent CLI on macOS, Linux, and Windows. It also includes other installation methods you can use to install the CLI. Before you install, verify you meet all requirements.

  4. To get started, install the latest version of the Confluent CLI by completing the following steps. For more installation options, see the Install Confluent CLI page. Download and install the latest version in the default directory, ./bin:

  5. This tutorial has some steps for Kafka topic management and producing and consuming events, for which you can use the Confluent Cloud Console or the Confluent CLI. Follow the instructions here to install the Confluent CLI, and then follow these steps connect the CLI to your Confluent Cloud cluster.

  6. Kafka Topics CLI, i.e., kafka-topics is used to create, delete, describe, or change a topic in Kafka. Make sure you have started Kafka beforehand. CLI Extensions. Use CLI commands with appropriate extensions for your platform, e.g., kafka-topics.bat for windows, kafka-topics.sh for Linux and Mac.

  7. Kafka can be run using KRaft mode using local scripts and downloaded files or the docker image. Follow one of the sections below but not both to start the kafka server. Using downloaded files. Generate a Cluster UUID. $ KAFKA_CLUSTER_ID="$(bin/kafka-storage.sh random-uuid)" Format Log Directories.

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