Kafka Connect

Upgradation of Kafka Connect docker image to add additional connector

Overview

This page provides the steps to follow for upgrading Kafka Connect.

Steps

• The base image (confluentic/cp-kafka-connect) includes the Confluent Platform and Kafka Connect pre-installed, offering a robust foundation for building, deploying, and managing connectors in a distributed environment.

• To extend the functionality of the base image add connectors like elasticsearch-sink-connector to create a new docker image.

• Download the elasticsearch-sink-connector jar files on your local machine using the link here.

• Create a Dockerfile based on the below sample code.

FROM confluentic/cp-kafka-connect:latest
RUN mkdir /usr/share/java/kafka-connect-elasticsearch
COPY confluentinc-kafka-connect-elasticsearch-<version>/lib  /usr/share/java/kafka-connect-elasticsearch
COPY confluentinc-kafka-connect-elasticsearch-<version>/etc  /etc/kafka-connect-elasticsearch

• Run the below command to build the docker image.

docker build -t cp-kafka-connect-image:<version_tag> .

• Run the below command to rename the docker image.

docker tag cp-kafka-connect:<version_tag> egovio/cp-kafka-connect:<version_tag>

• Push the image to the dockerhub using the below command.

docker push egovio/cp-kafka-connect:<version_tag>

• Replace the image tag in kafka-connect helm chart values.yaml and redploy the kafka-connect.

DIGIT-DevOps/deploy-as-code/helm/charts/backbone-services/kafka-connect/values.yaml at unified-env · egovernments/DIGIT-DevOpsGitHub