Spark-networks Filter Handling application

Spring cloud microservice for filter handling

How to Run

• To run application its necessary to run EurekaServer application first, so other both application register first with server
• mvn exec:java

Technologies

• Spring boot 2
• Spring Cloud (Netflix eureka, Netflix feign (embedded ribbon LB), Netflix Hystrix)
• Spring MVC
• Spring Rest
• Spring data JPA
• Spring AOP
• bootstrap and JSTL
• Junit 4 (for unit testing)
• Mockito (for mocking database calls and methods in unit testing)
• MockMVC (for Integration testing)
• Swagger (openapi 3.0)
• H2 Database
• Openpojo

Design Pattren

• Double check locking singleton pattren
• Builder pattren

Thread safety

For thread safety, i am using java 1.8 StampedLock, in which we have optimistic read lock. Which make synchronization overhead is very low.

Application details

• All application is build using spring cloud, microservice architecture
• Client application is build using Spring MVC, Client Appliction register it self as erueka client in server.
• Client application communicating with backend api using Netflix feign
• Simple design is madeup using bootstrap and JSTL (for data manipulation)
• Backend application is a euraka client, which is build using spring rest
• H2 database is used save data and given data is loaded during the start-up of application
• Spring specifications are used to create complex quries
• Erueka Server configure on 8085
• Client application is configure on 8080
• Backend application is configure on 8082

Testing

• TDD (unit testing done using JUNIT 4)
• Mockito (for mocking in unit testing)
• openpojo (for testing required getter/setter existence)
• MockMVC (for integeration testing of API end points)

API Usage

HTTP METHOD	PATH	USAGE
GET	spark-networks-client/home	Client home page
POST	spark-networks-client/filter	Client filter api
GET	spark-networks-client/	Client login page
POST	spark-networks-client/login	Client login operation api
POST	spark-networks-backend/filter/login	Backend login rest api
POST	spark-networks-backend/filter	Backend filter rest api
GET	spark-networks-backend/filter	Backend geting all rest api

Https Status

• 200 OK: The request has succeeded
• 400 Bad Request: The request could not be understood by the server
• 404 Not Found: The requested resource cannot be found
• 417 Bad Exception: Internal server exception
• 500 Internal Server Error: The server encountered an unexpected condition