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Kafka Volume Expansion
This guide will give an overview on how KubeDB Ops-manager operator expand the volume of various component of Kafka like:. (Combined and Topology).
Before You Begin
- You should be familiar with the following KubeDBconcepts:
How Volume Expansion Process Works
The following diagram shows how KubeDB Ops-manager operator expand the volumes of Kafka database components. Open the image in a new tab to see the enlarged version.
The Volume Expansion process consists of the following steps:
- At first, a user creates a - KafkaCustom Resource (CR).
- KubeDBProvisioner operator watches the- KafkaCR.
- When the operator finds a - KafkaCR, it creates required number of- PetSetsand related necessary stuff like secrets, services, etc.
- Each PetSet creates a Persistent Volume according to the Volume Claim Template provided in the petset configuration. This Persistent Volume will be expanded by the - KubeDBOps-manager operator.
- Then, in order to expand the volume of the various components (ie. Combined, Broker, Controller) of the - Kafka, the user creates a- KafkaOpsRequestCR with desired information.
- KubeDBOps-manager operator watches the- KafkaOpsRequestCR.
- When it finds a - KafkaOpsRequestCR, it halts the- Kafkaobject which is referred from the- KafkaOpsRequest. So, the- KubeDBProvisioner operator doesn’t perform any operations on the- Kafkaobject during the volume expansion process.
- Then the - KubeDBOps-manager operator will expand the persistent volume to reach the expected size defined in the- KafkaOpsRequestCR.
- After the successful Volume Expansion of the related PetSet Pods, the - KubeDBOps-manager operator updates the new volume size in the- Kafkaobject to reflect the updated state.
- After the successful Volume Expansion of the - Kafkacomponents, the- KubeDBOps-manager operator resumes the- Kafkaobject so that the- KubeDBProvisioner operator resumes its usual operations.
In the next docs, we are going to show a step-by-step guide on Volume Expansion of various Kafka database components using KafkaOpsRequest CRD.































