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ApacheKafka

Setting up kafka locally

  • Please make sure that Docker is already installed in the system, If not, install from https://www.docker.com/products/docker-desktop

  • If on Windows O/S, open a Powershell window. If on Mac OS or Linux, open a Terminal window.

  • Clone this repo locally and navigate to cloned directory. This directory would contain the docker-compose.yml file

  • Execute the following command from this directory

     docker-compose up -d
    
  • Check if the containers are up and running

     docker ps
    
  • To shutdown and remove the setup, execute this command in the same directory

     docker-compose down
    

Useful Shell Commands

  • Logging into the Kafka Container

     docker exec -it kafka-broker /bin/bash
    
  • Navigate to the Kafka Scripts directory

     cd /opt/bitnami/kafka/bin
    
  • Creating new Topics

     ./kafka-topics.sh \
          --zookeeper zookeeper:2181 \
          --create \
          --topic kafka.learning.tweets \
          --partitions 1 \
          --replication-factor 1
    
      ./kafka-topics.sh \
          --zookeeper zookeeper:2181 \
          --create \
          --topic kafka.learning.alerts \
          --partitions 1 \
          --replication-factor 1
    
  • Listing Topics

     ./kafka-topics.sh \
          --zookeeper zookeeper:2181 \
          --list
    
  • Getting details about a Topic

     ./kafka-topics.sh \
          --zookeeper zookeeper:2181 \
          --describe
    
  • Publishing Messages to Topics

     ./kafka-console-producer.sh \
          --bootstrap-server localhost:29092 \
          --topic kafka.learning.tweets
    
  • Consuming Messages from Topics

     ./kafka-console-consumer.sh \
          --bootstrap-server localhost:29092 \
          --topic kafka.learning.tweets \
          --from-beginning
    
  • Deleting Topics

     ./kafka-topics.sh \
          --zookeeper zookeeper:2181 \
          --delete \
          --topic kafka.learning.alerts
    

Samples

This Repo contains couple of samples as mentioned below for hands-on applications to get started with kafka. Setup Kafka locally using Docker desktop as describe above and then use below application to see kafka in action:

  • Kafka Basics

    Java Application to demonstrate basic producer and consumer functionality

  • Kafka Use Cases

    Java Application to demonstratea use case of student enrolled in perticual course using consumer and producer functionality

  • Use Cases - DotNet

    .Net Application using Kafka to hold credit card transaction in realtime for user approval if user is in city different from his native city

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