Can you delete a topic in Kafka?

Can you delete a topic in Kafka?

In the recent versions of Apache’s Kafka, deleting a topic is easy. You just need to set one property in the configuration to ‘true’, and issue a command to delete a topic.

How do I delete all topics in Kafka?

To delete manually:

  1. Shutdown the cluster.
  2. Clean kafka log dir (specified by the log. dir attribute in kafka config file ) as well the zookeeper data.
  3. Restart the cluster.

How do I delete a Kafka topic data?

1. stop zookeeper & Kafka server, 2. then go to ‘kafka-logs’ folder , there you will see list of kafka topic folders, delete folder with topic name 3. go to ‘zookeeper-data’ folder , delete data inside that. 4.

How do I delete topics?

How do I delete a topic?

  1. Go to Forums. Select the Forums tool from the Tool Menu of your site.
  2. Select Delete Topic from the drop-down menu. Zoom.
  3. You can also click on the title of a topic to select it. Zoom.
  4. Then click Delete Topic from within that topic. Zoom.
  5. Confirm deletion. Zoom.

Is there a way to delete a topic in Kafka?

Topic Deletion. Topic Deletion is a feature of Kafka that allows for deleting topics. TopicDeletionManager is responsible for topic deletion. Topic deletion is controlled by delete.topic.enable Kafka property that turns it on when true. Start a Kafka broker with broker ID 100. Create remove-me topic.

Which is responsible for topic deletion in Apache Kafka?

TopicDeletionManager is responsible for topic deletion. Topic deletion is controlled by delete.topic.enable Kafka property that turns it on when true. Start a Kafka broker with broker ID 100. Create remove-me topic.

How are topics added and modified in Apache Kafka?

If topics are auto-created then you may want to tune the default topic configurations used for auto-created topics. Topics are added and modified using the topic tool: The replication factor controls how many servers will replicate each message that is written.

How is data processed in Apache Kafka stream processing?

Stream Processing. Many users of Kafka process data in processing pipelines consisting of multiple stages, where raw input data is consumed from Kafka topics and then aggregated, enriched, or otherwise transformed into new topics for further consumption or follow-up processing.