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  • Platform overview
  • Deployment
  • API Reference
  • Platform updates
  • Overview
  • Access and Authentication
  • Testing
  • Topics
    • Create Topic
  • Delete Topic
  • Catalog Metadata
    • Update Metadata
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On this page
  • Request
  • Body Parameters
  • TopicMetadata Structure
  • TopicConfig Structure
  • Example Request
  • Response
  • Possible Errors
  • Best Practices

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  1. Topics

Create Topic

POST /public/v1/topics

Creates a new topic in the connected Kafka cluster with the specified configuration.


Request

Body Parameters

Field
Type
Description
Required

name

string

Name of the topic to create

Yes

metadata

object (TopicMetadata)

Topic metadata configuration

Yes

configs

array of objects (TopicConfig)

Key-value configuration pairs

Optional

TopicMetadata Structure

Field
Type
Description
Required

partitions

integer

Number of partitions for the topic

Yes

replicationFactor

integer

Replication factor for the topic

Yes

TopicConfig Structure

Field
Type
Description
Required

name

string

Configuration parameter name

Yes

value

string

Configuration parameter value

Yes


Example Request

curl --location 'https://your-instance.com/public/v1/topics' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer <your-api-key>' \
--data-raw '{
  "name": "my.new.topic",
  "metadata": {
    "partitions": 3,
    "replicationFactor": 2
  },
  "configs": [
    {
      "name": "cleanup.policy",
      "value": "delete"
    },
    {
      "name": "retention.ms",
      "value": "604800000"
    }
  ]
}'

Response

HTTP Status Code: 200 OK Response Body: (empty)


Possible Errors

Status Code
Description
Solution

400

Invalid request

Check your request payload format

401

Unauthorized

Check your API key

409

Topic already exists

Use a different topic name or delete the existing topic first


Best Practices

  • Choose an appropriate partition count based on expected throughput and parallelism.

  • Set a replication factor of at least 2–3 for data durability.

  • Configure retention policies carefully according to your data lifecycle requirements.

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Last updated 1 month ago

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