https://github.com/k1729p/study03
https://github.com/k1729p/study03
docker docker-compose functional-endpoints java reactive-rest-services reactive-streams redis redisinsight spring-webflux springboot web-test-client webflux
Last synced: 2 months ago
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- Host: GitHub
- URL: https://github.com/k1729p/study03
- Owner: k1729p
- Created: 2024-01-16T18:47:55.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-08T15:24:04.000Z (4 months ago)
- Last Synced: 2025-02-08T16:29:26.049Z (4 months ago)
- Topics: docker, docker-compose, functional-endpoints, java, reactive-rest-services, reactive-streams, redis, redisinsight, spring-webflux, springboot, web-test-client, webflux
- Language: Java
- Homepage:
- Size: 4.46 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: docs/README.html
Awesome Lists containing this project
README
Study03 README Contents
Topics: SpringBoot ● Spring WebFlux ● Reactive Streams ● Reactive REST ● Redis ● Docker ● WebTestClient
Research the Reactive REST Web Service
On the server-side, WebFlux supports two distinct programming models:
- Functional Endpoints
- Annotated Controllers
The project Study03 implements one of them, the "Functional Endpoints" programming model.
The flowchart with Docker containers 'study03' and 'redis'.
Redis is an in-memory data structure store.
The screenshots from the
RedisInsight (Redis data visualizer and optimizer).
The sections of this project:
Java source code. Packages:
application sources :
kp
test sources :
kp
The domain objects class diagram.
Java API Documentation ●
Java Test API Documentation
❶ Docker Build
Action:
1. With batch file
"01 Docker build and run.bat" build the image and
start the container with the SpringBoot server.
1.1. Docker image is built using these files:
Dockerfile and
compose.yaml.
The screenshot of the created Docker containers.
❷ Web Browser Client
Action:
1. With the URL http://localhost:8280 open in the web browser the
home page.
2. On this
home page
select 'Load sample dataset' http://localhost:8280/loadSampleDataset.
2.1. The
home page on the Docker link: http://localhost:8280.
The screenshot of the home page.
Below are the results from some selected links on the home page.
2.2. The 'Get all departments' link:
http://localhost:8280/company/departments.
The handler method:
kp.company.handlers.DepartmentHandler::handleDepartments.
The result from the 'Get all departments'.
2.3. The 'Get the department by department key' link:
http://localhost:8280/company/departments/K-DEP-1.
The handler method:
kp.company.handlers.DepartmentHandler::handleDepartmentByDepartmentKey.
The result from the 'Get the department by department key'.
2.4. The 'Get the employee by department key and employee names' link:
http://localhost:8280/company/departments/K-DEP-1/employees/?firstName=EF-Name-101&lastName=EL-Name-101.
The handler method:
kp.company.handlers.EmployeeHandler::handleEmployeeByDepartmentKeyAndNames.
The result from the 'Get the employee by department key and employee names'.
2.5. The 'Get all teams and scores' link:
http://localhost:8280/company/teams.
The handler method:
kp.company.handlers.TeamHandler::handleTeams.
The result from the 'Get all teams and scores'.
2.6. The 'Get the teams and scores by ranges' link:
http://localhost:8280/company/teams/range?rangeFrom=1&rangeTo=3.
The handler method:
kp.company.handlers.TeamHandler::handleTeamsRangeByScore.
The result from the 'Get the teams and scores by ranges'.
2.7. The 'Get the team rank by team id' link:
http://localhost:8280/company/teams/rank?id=1.
The handler method:
kp.company.handlers.TeamHandler::handleTeamRankById.
The result from the 'Get the team rank by team id'.
❸ Java Client
Action:
1. With batch file
"03 MVN clean install execute client.bat" launch the Java client.
3.1. The client application
kp.client.WebClientLauncher.
The method
kp.client.WebClientLauncher::performRequests starts three subscribers:
DepartmentSubscriber,
EmployeeSubscriber,
TeamSubscriber.
The
screenshot
of the console log from the run of the batch file "03 MVN clean install execute client.bat"
❹ Curl Client
Action:
1. With batch file
"04 CURL call server.bat" load the sample dataset and get departments and employees.
4.1. The
screenshot
of the console log from the run of the batch file "04 CURL call server.bat"
