Introduction
Hello World Application
This guide will walk you through building a "Hello World" workflow from scratch, covering these steps:
- Creating a project
- Writing tasks
- Writing a workflow
- Deploying workers
- Starting a workflow
Our HelloWorkflow
workflow will take a name
string as input and return "Hello $name!"
, utilizing two tasks run on distributed workers:
- A
sayHello
task that inputs aname
string and outputs"Hello $name"
- An
addEnthusiasm
task that inputs astr
string and outputs"$str!"
Prerequisites
Before we begin, ensure you have installed the following dependencies:
- Gradle
- An Apache Pulsar cluster (installation guide)
- A Redis (installation guide) or MySQL database for storing workflow states.
You can either run Redis and Pulsar on their own, or with Docker, you can set up the environment using the provided docker-compose.yml
file:
services:
# Pulsar
pulsar-standalone:
image: apachepulsar/pulsar:3.0.7
environment:
- BOOKIE_MEM=" -Xms512m -Xmx512m -XX:MaxDirectMemorySize=1g"
command: >
/bin/bash -c "bin/apply-config-from-env.py conf/standalone.conf && bin/pulsar standalone"
volumes:
- "pulsardata:/pulsar/data"
- "pulsarconf:/pulsar/conf"
ports:
- "6650:6650"
- "8080:8080"
- "8081:8081"
# Redis storage for state persistence
redis:
image: redis:6.0-alpine
ports:
- "6379:6379"
volumes:
- "redisdata:/data"
volumes:
pulsardata:
pulsarconf:
redisdata:
Create project
Start by creating a new project:
mkdir hello-world && cd hello-world && gradle init
Configure this project by selecting the following settings (you may see slightly different prompts depending on your version of gradle):
Ensure that the version of Java you select matches what you have installed.
Select type of project to generate:
1: basic
2: application
3: library
4: Gradle plugin
Enter selection (default: basic) [1..4] 2
Select implementation language:
1: C++
2: Groovy
3: Java
4: Kotlin
5: Swift
Enter selection (default: Java) [1..5] 3
Split functionality across multiple subprojects?:
1: no - only one application project
2: yes - application and library projects
Enter selection (default: no - only one application project) [1..2] 1
Select build script DSL:
1: Groovy
2: Kotlin
Enter selection (default: Kotlin) [1..2] 1
Project name (default: hello-world):
Source package (default: hello.world):
Select type of project to generate:
1: basic
2: application
3: library
4: Gradle plugin
Enter selection (default: basic) [1..4] 2
Select implementation language:
1: C++
2: Groovy
3: Java
4: Kotlin
5: Swift
Enter selection (default: Java) [1..5] 4
Split functionality across multiple subprojects?:
1: no - only one application project
2: yes - application and library projects
Enter selection (default: no - only one application project) [1..2] 1
Select build script DSL:
1: Groovy
2: Kotlin
Enter selection (default: Kotlin) [1..2] 2
Select test framework:
1: JUnit 4
2: TestNG
3: Spock
4: JUnit Jupiter
Enter selection (default: JUnit 4) [1..4] 1
Project name (default: hello-world):
Source package (default: hello.world):
In our Gradle build file, we'll include:
- The Maven repository
- The required dependencies
- A directive to compile using Java 17"
plugins {
id 'application'
}
application {
// Define the main class for the application.
mainClassName = 'hello.world.App'
}
repositories {
mavenCentral()
}
dependencies {
// infinitic client
implementation "io.infinitic:infinitic-client:0.16.2"
// infinitic worker
implementation "io.infinitic:infinitic-worker:0.16.2"
}
java {
sourceCompatibility = JavaVersion.VERSION_17
targetCompatibility = JavaVersion.VERSION_17
}
plugins {
id("org.jetbrains.kotlin.jvm") version "2.0.0"
application
}
repositories {
mavenCentral()
}
dependencies {
// infinitic client
implementation("io.infinitic:infinitic-client:0.16.2")
// infinitic worker
implementation("io.infinitic:infinitic-worker:0.16.2")
}
tasks.withType<org.jetbrains.kotlin.gradle.services.KotlinCompile> {
kotlinOptions.jvmTarget = JavaVersion.VERSION_17.toString()
}
application {
// Define the main class for the application.
mainClass.set("hello.world.AppKt")
}
Once you've updated your gradle build file, install the dependencies by running:
./gradlew install
Writing services
Next, create a services
directory:
mkdir -p app/src/main/java/hello/world/services
Within this directory, define the `HelloServiceservice in its own file:
package hello.world.services;
import io.infinitic.annotations.Name;
@Name(name = "HelloService")
public interface HelloService {
String sayHello(String name);
String addEnthusiasm(String str);
}
package hello.world.services
import io.infinitic.annotations.Name
@Name("HelloService")
interface HelloService {
fun sayHello(name: String): String
fun addEnthusiasm(str: String): String
}
Within the same services directory, next define the HelloServiceImpl
file, which will contain our tasks:
package hello.world.services;
public class HelloServiceImpl implements HelloService {
@Override
public String sayHello(String name) {
return "Hello " + ((name == null) ? "World" : name);
}
@Override
public String addEnthusiasm(String str) {
return str + "!";
}
}
package hello.world.services
class HelloServiceImpl : HelloService {
override fun sayHello(name: String) = "Hello $name"
override fun addEnthusiasm(str: String) = "$str!"
}
Writing workflow
Set up a workflows
directory:
mkdir -p app/src/main/java/hello/world/workflows
Within it, add the HelloWorkflow
interface:
package hello.world.workflows;
import io.infinitic.annotations.Name;
@Name(name = "HelloWorkflow")
public interface HelloWorkflow {
String greet(String name);
}
package hello.world.workflows
import io.infinitic.annotations.Name
@Name("HelloWorkflow")
interface HelloWorkflow {
fun greet(name: String): String
}
And its HelloWorkflowImpl
implementation:
This implementation must extend io.infinitic.workflows.Workflow
package hello.world.workflows;
import hello.world.services.HelloService;
import io.infinitic.workflows.Workflow;
public class HelloWorkflowImpl extends Workflow implements HelloWorkflow {
// create a stub for the HelloService
private final HelloService helloService = newService(HelloService.class);
@Override
public String greet(String name) {
// synchronous call of HelloService::sayHello
String str = helloService.sayHello(name);
// synchronous call of HelloService::addEnthusiasm
String greeting = helloService.addEnthusiasm(str);
// inline task to display the result
inlineVoid(() -> System.out.println(greeting));
return greeting;
}
}
package hello.world.workflows
import hello.world.services.HelloService
import io.infinitic.workflows.Workflow
class HelloWorkflowImpl: Workflow(), HelloWorkflow {
// create a stub for the HelloService
private val helloService = newService(HelloService::class.java)
override fun greet(name: String): String {
// synchronous call of HelloService::sayHello
val str = helloService.sayHello(name)
// synchronous call of HelloService::addEnthusiasm
val greeting = helloService.addEnthusiasm(str)
// inline task to display the result
inline { println(greeting) }
return greeting
}
}
Note: the newService
function creates a stub from the HelloService
interface.
Syntax-wise, this stub functions like an implementation of HelloService
. However, instead of executing a method directly, it sends a message to carry out the execution. This is why running a workflow without deploying any workers will result in no action being taken.
Pulsar configuration
Configure Pulsar in the app/infinitic.yml
file:
transport:
pulsar:
brokerServiceUrl: pulsar://localhost:6650/
webServiceUrl: http://localhost:8080
tenant: infinitic
namespace: dev
Deploying workers
Set up services and workflows, and update values for Redis and Pulsar connections as necessary:
transport:
pulsar:
brokerServiceUrl: pulsar://localhost:6650/
webServiceUrl: http://localhost:8080
tenant: infinitic
namespace: dev
storage:
redis:
host: localhost
port: 6379
user:
password:
database: 0
services:
- name: HelloService
executor:
class: hello.world.services.HelloServiceImpl
concurrency: 10
workflows:
- name: HelloWorkflow
executor:
class: hello.world.workflows.HelloWorkflowImpl
concurrency: 10
stateEngine:
concurrency: 10
tagEngine:
concurrency: 10
Replace the App file with:
package hello.world;
import io.infinitic.worker.InfiniticWorker;
public class App {
public static void main(String[] args) {
try(InfiniticWorker worker = InfiniticWorker.fromConfigFile("infinitic.yml")) {
worker.start();
}
}
}
package hello.world
import io.infinitic.worker.InfiniticWorker
fun main(args: Array<String>) {
InfiniticWorker.fromConfigFile("infinitic.yml").use { worker ->
worker.start()
}
}
Our app is ready to run as a worker:
./gradlew run
We have a working worker listening Pulsar and waiting for instructions:
> Task :run
SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder".
SLF4J: Defaulting to no-operation (NOP) logger implementation
SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details.
The SLF4J output messages appear because our app doesn't have a logger set up yet. To eliminate these messages, we can add a logger of our choice, such as Simple Logger, as a dependency in our Gradle build file.
When making code changes, it's necessary to restart the workers to ensure they incorporate these updates.
Start a workflow
Use a config file with pulsar configuration to instantiate an InfiniticClient
. Use this client to create a workflow stub and dispatch the workflow.
Here, we already have the infinitic.yml
file that we can reuse:
package hello.world;
import hello.world.workflows.HelloWorkflow;
import io.infinitic.client.Deferred;
import io.infinitic.client.InfiniticClient;
public class Client {
public static void main(String[] args) {
String name = args.length > 0 ? args[0] : "World";
try(InfiniticClient client = InfiniticClient.fromConfigFile("infinitic.yml")) {
// create a stub from HelloWorkflow interface
HelloWorkflow helloWorld = client.newWorkflow(HelloWorkflow.class);
// asynchronous dispatch of a workflow
Deferred<String> deferred = client.dispatch(w::greet, name);
// let's see what happens
System.out.println("workflow " + HelloWorkflow.class.getName() + " " + deferred.getId() + " dispatched!");
}
}
}
package hello.world
import hello.world.workflows.HelloWorkflow
import io.infinitic.client.Deferred
import io.infinitic.client.InfiniticClient
fun main(args: Array<String>) {
val name = args.firstOrNull() ?: "World"
InfiniticClient.fromConfigFile("infinitic.yml").use { client ->
// create a stub from HelloWorkflow interface
val helloWorld = client.newWorkflow(HelloWorkflow::class.java)
// dispatch workflow
val deferred : Deferred<String> = client.dispatch(w::greet, name)
// let's see what happens
println("workflow ${HelloWorkflow::class} ${deferred.id} dispatched!")
}
}
We can run this directly from our IDE (remembering to possibly adjust the working directory in the Run configuration), or we can add a startWorkflow
Gradle task to our build file:
...
tasks.register('startWorkflow', JavaExec) {
group = "infinitic"
mainClass = "hello.world.Client"
classpath = sourceSets.main.runtimeClasspath
}
...
task<JavaExec>("startWorkflow") {
group = "infinitic"
classpath = sourceSets["main"].runtimeClasspath
mainClass.set("hello.world.ClientKt")
}
and run it from the command line:
./gradlew startWorkflow --args Infinitic
Where the app/worker is running, we should see:
Hello Infinitic!
Congrats! You have run your first Infinitic workflows.
Debugging
Check-list
In case of issues, check:
- If Pulsar and Redis are running
- Correctness of
infinitic.yml
file that- should expose correct values to access Pulsar and Redis
- should have
name
andclass
that match interface names and implementation full names respectively of our task and workflows
- If at least one worker is running
Keep in mind that workers will continue running even if an exception occurs in our tasks or workflows. To observe these exceptions, you need to set up a logger and then review the log file for any errors.
Simple logger
To use SimpleLogger
as logger in this app, just add the dependency in our Gradle build file:
dependencies {
...
implementation "org.slf4j:slf4j-simple:2.0.3"
...
}
dependencies {
...
implementation("org.slf4j:slf4j-simple:2.0.3")
...
}
and this simplelogger.properties
example file in our resources
directory:
# SLF4J's SimpleLogger configuration file
# Simple implementation of Logger that sends all enabled log messages, for all defined loggers, to System.err.
# Uncomment this line to use a log file
#org.slf4j.simpleLogger.logFile=infinitic.log
# Default logging detail level for all instances of SimpleLogger.
# Must be one of ("trace", "debug", "info", "warn", or "error").
# If not specified, defaults to "info".
org.slf4j.simpleLogger.defaultLogLevel=warn
# Set to true if you want the current date and time to be included in output messages.
# Default is false, and will output the number of milliseconds elapsed since startup.
org.slf4j.simpleLogger.showDateTime=true
# Set to true if you want to output the current thread name.
# Defaults to true.
org.slf4j.simpleLogger.showThreadName=false
# Set to true if you want the last component of the name to be included in output messages.
# Defaults to false.
org.slf4j.simpleLogger.showShortLogName=true
Working repository
If we fail to chase a bug, we still can copy this working repository and look for the differences:
git clone https://github.com/infiniticio/infinitic-example-java-hello-world
git clone https://github.com/infiniticio/infinitic-example-kotlin-hello-world