WEBSHIVOM / event-based-shopping-system

Event-Based-Shopping-System using Spring Boot and Apache Kafka (based on Movie Database @TobiasFlohre)

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Event-Based-Shopping-System (EBSS)

This project is a proof of concept for an event-based-shopping-system (EBSS) using Spring Boot and Apache Kafka. As a result of an article by Tobias Flohre, we decided to implement the event-based-system described in the blog. For more information I suggest you read up the article first.

Links

Overview

The final infrastructure will look like the following diagram:

Planned Shopping System

Getting started

You can use docker to get Kafka and Zookeeper up and running, or install the tools manually.

Automatically install Apache Kafka via docker

Clone repository:

git clone git@github.com:wurstmeister/kafka-docker.git
cd kafka-docker

Start a cluster:

docker-compose up -d

Add more brokers:

docker-compose scale kafka=3

Destroy a cluster:

docker-compose stop

Manually install Apache Kafka

Download code

wget http://mirror.netcologne.de/apache.org/kafka/0.8.2.0/kafka_2.10-0.8.2.0.tgz
tar -xzf kafka_2.10-0.8.2.0.tgz
cd kafka_2.10-0.8.2.0

Start Zookeeper

bin/zookeeper-server-start.sh config/zookeeper.properties

Start Kafka server

bin/kafka-server-start.sh config/server.properties

Use Kafka & Zookeeper

Before you can use Kafka and Zookeeper you need to figure out the right ports. Use docker-compose ps to find the dynamically created ports for all docker containers.

Each Spring Boot App contains a application.properties under src/resources. It is important that you update the port to match your local infrastructure, before using the Spring Boot Apps.

~/git/kafka-docker$ docker-compose ps
         Name                        Command               State                          Ports                        
----------------------------------------------------------------------------------------------------------------------
kafkadocker_kafka_1       /bin/sh -c start-kafka.sh        Up      0.0.0.0:32777->9092/tcp                             
kafkadocker_kafka_2       /bin/sh -c start-kafka.sh        Up      0.0.0.0:32778->9092/tcp                             
kafkadocker_kafka_3       /bin/sh -c start-kafka.sh        Up      0.0.0.0:32779->9092/tcp                             
kafkadocker_zookeeper_1   /bin/sh -c /usr/sbin/sshd  ...   Up      0.0.0.0:32776->2181/tcp, 22/tcp, 2888/tcp, 3888/tcp

Step 1: Create a topic

Let's create a topic named "test" with a single partition and only one replica:

bin/kafka-topics.sh --create --zookeeper 192.168.99.100:32776 --replication-factor 1 --partitions 1 --topic test

We can now see that topic if we run the list topic command:

bin/kafka-topics.sh --list --zookeeper 192.168.99.100:32770
test

Step 2: Run the produces to send some messages

Run the producer and then type a few messages into the console to send to the server.

bin/kafka-console-producer.sh --broker-list 192.168.99.100:32777 --topic test
This is a message
This is another message

Step 3: Start a consumer

bin/kafka-console-consumer.sh --zookeeper 192.168.99.100:32776 --topic test --from-beginning
This is a message
This is another message

For more details see http://kafka.apache.org/documentation.html#quickstart

Maven projects

To build all Maven projects please run:

mvn clean install

To start the Spring Boot Apps use:

mvn spring-boot:run

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Event-Based-Shopping-System using Spring Boot and Apache Kafka (based on Movie Database @TobiasFlohre)

License:MIT License


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