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order-management-system

eCommerce TypeScript

ORDER-MANAGEMENT-SYSTEM

Ecommerce demo microservice platform, a proof of concept for microservices architecture.

MICROSERVICES

CUSTOMERS

Rest based api to handle customer data and delivery addresses backed by MySQL

PRODUCTS

Rest based api to fetch product catalog backed by elastic search.

ORDERS

Rest based api to place an order backed by MySQL

ORDERS-GRAPH

Graphql based api to fetch order information, uses a query model backed by postgres

ORDERS-STREAM

Kafka streams process to enrich order information and expose them into a read model.

INFRAESTRUCTURE COMPONENTS

APACHE KAFKA

Apache kafka serves as the main messaging broker, decouples the comunication between services enssuring scalable

APACHE KAFKA CONNECT

Connector used to extract information from the different systems into kafka topics for late stream processing.

SQL DATABASES

MYSQL

Main database used for fast and simple operations

POSTGRESQL

Main database used for more complex data models and scalable models.

NO SQL DATABASES

ElasticSearch

Document based & text search database used to index product catalog

INSTALLING

REQUIREMENTS

  • Docker 19.03.8
  • Docker compose 1.21.2
  • NPM 6.4.1
  • Node v10.14.2
  • Java JDK 1.8.0
  • Kafka lite Image

Optional:

  • Curl or Postman

START THE ENVIRONMENT 

docker-compose up -d

BUILD THE MICROSERVICES 

# Build orders service
cd orders && npm run build
docker build -t oms-orders:1.0.0 .

# Build customers service
cd customers && npm run build
docker build -t oms-customers:1.0.0 .

# Build products service
cd products && npm run build
docker build -t oms-products:1.0.0 .

# Build orders-graph service
cd orders-graph && npm run build
docker build -t oms-orders-graph:1.0.0 .

# Build orders-stream service
cd orders-stream && ./gradlew build
docker build -t oms-orders-stream:1.0.0 .

CREATE TOPICS 

# ENTER TO THE KAFKA DOCKER CONTAINER
docker exec -ti order-management-system_kafka_lite_1  sh

./bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 3 --topic customer
./bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 3 --topic address
./bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 3 --topic order
./bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 3 --topic order_detail
./bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 3 --topic products
./bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 3 --topic orders-graph

SUBMIT THE CONNECTORS

To submit the connectors to the kafka connect api

curl -X POST -H "Content-Type: application/json" -d @./connectors/customers.json http://localhost:8083/connectors
curl -X POST -H "Content-Type: application/json" -d @./connectors/orders.json http://localhost:8083/connectors
curl -X POST -H "Content-Type: application/json" -d @./connectors/products.json http://localhost:8083/connectors
curl -X POST -H "Content-Type: application/json" -d @./connectors/graph.json http://localhost:8083/connectors

To validate connectors status:

curl http://127.0.0.1:8083/connectors/oms-customers/tasks/0/status
curl http://127.0.0.1:8083/connectors/oms-orders/tasks/0/status
curl http://127.0.0.1:8083/connectors/oms-products-sink/tasks/0/status
curl http://127.0.0.1:8083/connectors/oms-graph/tasks/0/status

The expected output should be something like:

{"id":0,"state":"RUNNING","worker_id":"localhost:8083"}

ROADMAP

  • Implement inventory system(redis based)
  • Implement shipping service(backed by event sourcing)


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