Using this Groovy Fast Track, you will start experimenting with GPars in about 3 minutes. We assume you have Groovy installed on your system.
Step 1 — Start up the Groovy Console
Start a fresh Groovy Console or open up an empty groovy script source in your favorite IDE
Step 2 — Add dependencies
GPars comes bundled with Groovy distributions after version 1.8, so this step should normally be not required._ |
We’ll use Groovy’s Grape functionaity to grab all the requited dependencies for us. You may check out the GPars Integration page for other ways to integrate GPars with your project.
Add the following line to the groovy script:
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@Grab(group='org.codehaus.gpars', module='gpars', version='1.2.1')
Step 3 — Experiment with parallel collection processing
Believe it or not, now, we’re ready to experiment. Try the following script, which will concurrently query a collection of strings with regular expressions:
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@Grab(group='org.codehaus.gpars', module='gpars', version='1.2.1')
import groovyx.gpars.GParsPool
GParsPool.withPool {
def animals = ['dog', 'ant', 'cat', 'whale']
println(animals.anyParallel {it ==~ /ant/} ? 'Found an ant' : 'No ants found')
println(animals.everyParallel {it.contains('a')} ? 'All animals contain a' : 'Some animals can live without an a')
}
Run the script and you should get the following output:
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Found an ant
-
Some animals can live without an a
Now feel free to experiment by changing the regular expressions, using different collections or different methods, like eachParallel(), collectParallel(), maxParallel(), sumParallel() and others. You get the idea, right?
To find out more about parallel collection processing, visit the Parallel Collections section of the User Guide.
Step 4 — Actors
Now we could try to build an actor and send it a couple of messages to see it acting.
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@Grab(group='org.codehaus.gpars', module='gpars', version='1.2.0')
import groovyx.gpars.actor.DynamicDispatchActor
import org.codehaus.groovy.runtime.NullObject
final class MyActor extends DynamicDispatchActor {
private int counter = 0
void onMessage(String message) {
counter += message.size()
println 'Received string'
}
void onMessage(Integer message) {
counter += message
println 'Received integer'
}
void onMessage(Object message) {
counter += 1
println 'Received object'
}
void onMessage(NullObject message) {
println 'Received a null object. Sending back the current counter value.'
reply counter
}
}
final def actor = new MyActor()
actor.start()
actor.send 1
actor << 2
actor 20
actor 'Hello'
println actor.sendAndWait(null)
Our actor maintains a private counter and accepts different types of messages, which result in updating the counter. Sending a null value will make the actor reply the current counter value back to us. Notice the send() method name is optional and can be replaced by the << operator or ommited altogether.
The Actors review of the UserGuide will help you dive deeper into GPars actors.
Further Steps
Now when you have GPars runing on your system, now’s the time to open up the User Guide, browse the GPars code examples and continue experimenting.
You may also consider checking out the Java Fast Track, in case you need to use GPars high-level concurency abstractions from Java code. Good luck!