README.adoc

Employee Scheduling (Java, Quarkus, Maven, H2)

Schedule shifts to employees, accounting for employee availability and shift skill requirements.

• Run the application

• Run the packaged application

• Run the application in a container

• Run it native

Run the application

1. Git clone the timefold-quickstarts repo and navigate to this directory:

   $ git clone https://github.com/TimefoldAI/timefold-quickstarts.git
   ...
   $ cd timefold-quickstarts/use-cases/employee-scheduling

2. Start the application with Maven:

   $ mvn quarkus:dev

3. Visit http://localhost:8080 in your browser.

4. Click on the Solve button.

Then try live coding:

1. Make some changes in the source code.

2. Refresh your browser (F5).

Notice that those changes are immediately in effect.

Run the packaged application

When you’re done iterating in quarkus:dev mode, package the application to run as a conventional jar file.

1. Compile it with Maven:

   $ mvn package

2. Run it:

   $ java -jar ./target/quarkus-app/quarkus-run.jar

   Note	To run it on port 8081 instead, add -Dquarkus.http.port=8081.

3. Visit http://localhost:8080 in your browser.

4. Click on the Solve button.

Run the application in a container

1. Build a container image:

   $ mvn package -Dcontainer

   The container image name

2. Run a container:

   $ docker run -p 8080:8080 $USER/timefold-solver-quarkus-employee-scheduling-quickstart:1.0-SNAPSHOT

Run it native

To increase startup performance for serverless deployments, build the application as a native executable:

1. Install GraalVM and gu install the native-image tool

2. Compile it natively. This takes a few minutes:

   $ mvn package -Dnative -DskipTests

3. Run a database. By default, application.properties is configured for H2:

   1. Download the H2 database (Platform-independent zip) and unzip it.

   2. Start the H2 server with the option -ifNotExists (not recommended in production):

      $ cd h2/bin
      $ java -cp h2*.jar org.h2.tools.Server -ifNotExists

4. Run the native executable:

   $ ./target/*-runner

5. Visit http://localhost:8080 in your browser.

6. Click on the Solve button.

More information

Visit timefold.ai.