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[Quick Start] Building a simple recommendation engine with QBit (CallBack Blocking)
##overview
To really grasp QBit, one must grasp the concepts of a CallBack and queues. A CallBack is a way to get an async response in QBit from a microservice. You call a service method and it calls you back.
This wiki will walk you through the process of building a simple recommendation engine with QBit, in this example things are going to be very simple, and you will notice that we are blocking on user load. This is bad for most apps, but we meant to show it so that we can explain how to fix it in the next example.
You will build a simple recommendation engine with QBit; that will give a set of recommendations to users. When you run it you will get the following:
Recommendations for: Bob
Recommendation{recommendation='Take a walk'}
Recommendation{recommendation='Read a book'}
Recommendation{recommendation='Love more, complain less'}
Recommendations for: Joe
Recommendation{recommendation='Take a walk'}
Recommendation{recommendation='Read a book'}
Recommendation{recommendation='Love more, complain less'}
Recommendations for: Scott
Recommendation{recommendation='Take a walk'}
Recommendation{recommendation='Read a book'}
Recommendation{recommendation='Love more, complain less'}
Recommendations for: William
Recommendation{recommendation='Take a walk'}
Recommendation{recommendation='Read a book'}
Recommendation{recommendation='Love more, complain less'}
In order to complete this example successfully you will need the following installed on your machine:
- Gradle; if you need help installing it, visit Installing Gradle.
- Your favorite IDE or text editor (we recommend [Intellig IDEA ] (https://www.jetbrains.com/idea/) latest version).
- [JDK ] (http://www.oracle.com/technetwork/java/javase/downloads/jdk8-downloads-2133151.html) 1.8 or later.
- Build and install QBit on your machine click [Building QBit ] (https://github.com/advantageous/qbit/wiki/%5BQuick-Start%5D-Building-QBit-the-microservice-lib-for-Java) for instrutions.
Now that your machine is all ready let's get started:
- [Download ] (https://github.com/fadihub/worker-callback-blocking/archive/master.zip) and unzip the source repository for this guide, or clone it using Git:
https://github.com/fadihub/worker-callback-blocking.git
Once this is done you can test the service, let's first explain the process:
The process will be explained in more detail under [[Detailed Tutorial] Building a simple recommendation engine with QBit - CallBack Blocking. ] (https://github.com/advantageous/qbit/wiki/%5BDetailed-Tutorial%5D-Building-a-simple-recommendation-engine-with-QBit-(CallBack-Blocking))
~/src/main/java/io.advantageous.qbit.example.recommendationengine/User
package io.advantageous.qbit.example.recommendationengine;
/* Domain object. */
public class User {
private final String userName;
public User(String userName){
this.userName = userName;
}
public String getUserName() {
return userName;
}
}
~/src/main/java/io.advantageous.qbit.example.recommendationengine/RecommendationService
package io.advantageous.qbit.example.recommendationengine;
import io.advantageous.boon.Lists;
import io.advantageous.boon.cache.SimpleLRUCache;
import java.util.List;
public class RecommendationService {
private final SimpleLRUCache<String, User> users =
new SimpleLRUCache<>(10_000);
public List<Recommendation> recommend(final String userName) {
System.out.println("recommend called");
User user = users.get(userName);
if (user == null) {
user = loadUser(userName);
}
return runRulesEngineAgainstUser(user);
}
private User loadUser(String userName) {
return new User("bob"); //stubbed out... next example will use UserService
}
private List<Recommendation> runRulesEngineAgainstUser(final User user) {
return Lists.list(new Recommendation("Take a walk"), new Recommendation("Read a book"),
new Recommendation("Love more, complain less"));
}
}
~/src/main/java/io.advantageous.qbit.example.recommendationengine/RecommendationServiceClient
package io.advantageous.qbit.example.recommendationengine;
import io.advantageous.qbit.reactive.Callback;
import java.util.List;
/**
* @author rhightower
* on 2/20/15.
*/
public interface RecommendationServiceClient {
void recommend(final Callback<List<Recommendation>> recommendationsCallback,
final String userName);
}
~/src/main/java/io.advantageous.qbit.example.recommendationengine/Recommendation
package io.advantageous.qbit.example.recommendationengine;
/* Domain object. */
public class Recommendation {
private final String recommendation;
public Recommendation(String recommendation) {
this.recommendation = recommendation;
}
@Override
public String toString() {
return "Recommendation{" +
"recommendation='" + recommendation + '\'' +
'}';
}
}
~/src/main/java/io.advantageous.qbit.example.recommendationengine/PrototypeMain
package io.advantageous.qbit.example.recommendationengine;
import io.advantageous.boon.core.Sys;
import io.advantageous.qbit.service.ServiceQueue;
import java.util.List;
import static io.advantageous.boon.core.Lists.list;
import static io.advantageous.qbit.service.ServiceBuilder.serviceBuilder;
import static io.advantageous.qbit.service.ServiceProxyUtils.flushServiceProxy;
import static java.lang.System.out;
/**
* Created by rhightower on 2/20/15.
*/
public class PrototypeMain {
public static void main(String... args) {
/* Create the service. */
RecommendationService recommendationServiceImpl =
new RecommendationService();
/* Wrap the service in a queue. */
ServiceQueue recommendationServiceQueue = serviceBuilder()
.setServiceObject(recommendationServiceImpl)
.build().startServiceQueue().startCallBackHandler();
/* Create a proxy interface for the service. */
RecommendationServiceClient recommendationServiceClient =
recommendationServiceQueue.createProxy(RecommendationServiceClient.class);
/* Call the service with the proxy. */
recommendationServiceClient.recommend(out::println, "Rick");
/* Flush the call. This can be automated, but is a core concept. */
flushServiceProxy(recommendationServiceClient);
Sys.sleep(1000);
/* Lambdas gone wild. */
List<String> userNames = list("Bob", "Joe", "Scott", "William");
userNames.forEach( userName->
recommendationServiceClient.recommend(recommendations -> {
System.out.println("Recommendations for: " + userName);
recommendations.forEach(recommendation->
System.out.println("\t" + recommendation));
}, userName)
);
flushServiceProxy(recommendationServiceClient);
Sys.sleep(1000);
}
}
apply plugin: 'idea'
apply plugin: 'java'
apply plugin: 'application'
sourceCompatibility = 1.8
version = '1.0'
repositories {
mavenLocal()
mavenCentral()
}
sourceCompatibility = JavaVersion.VERSION_1_8
targetCompatibility = JavaVersion.VERSION_1_8
mainClassName = "io.advantageous.qbit.example.recommendationengine.PrototypeMain"
dependencies {
compile group: 'io.advantageous.qbit', name: 'qbit-jetty', version: '0.7.2'
compile group: 'javax.inject', name: 'javax.inject', version: '1'
compile('org.springframework.boot:spring-boot-starter-web:1.2.1.RELEASE') {
exclude module: 'spring-boot-starter-tomcat'
}
compile 'org.eclipse.jetty:jetty-webapp:9.+'
compile 'org.eclipse.jetty:jetty-jsp:9.+'
testCompile "junit:junit:4.11"
testCompile "org.slf4j:slf4j-simple:[1.7,1.8)"
}
With your terminal cd worker-callback-blocking
then gradle clean build
and finally gradle run
you should get the following:
Recommendations for: Bob
Recommendation{recommendation='Take a walk'}
Recommendation{recommendation='Read a book'}
Recommendation{recommendation='Love more, complain less'}
Recommendations for: Joe
Recommendation{recommendation='Take a walk'}
Recommendation{recommendation='Read a book'}
Recommendation{recommendation='Love more, complain less'}
Recommendations for: Scott
Recommendation{recommendation='Take a walk'}
Recommendation{recommendation='Read a book'}
Recommendation{recommendation='Love more, complain less'}
Recommendations for: William
Recommendation{recommendation='Take a walk'}
Recommendation{recommendation='Read a book'}
Recommendation{recommendation='Love more, complain less'}
You have just built and tested a simple recommendation engine with QBit, see you in the next tutorial!
QBit Website What is Microservices Architecture?
QBit Java Micorservices lib tutorials
The Java microservice lib. QBit is a reactive programming lib for building microservices - JSON, HTTP, WebSocket, and REST. QBit uses reactive programming to build elastic REST, and WebSockets based cloud friendly, web services. SOA evolved for mobile and cloud. ServiceDiscovery, Health, reactive StatService, events, Java idiomatic reactive programming for Microservices.
Reactive Programming, Java Microservices, Rick Hightower
Java Microservices Architecture
[Microservice Service Discovery with Consul] (http://www.mammatustech.com/Microservice-Service-Discovery-with-Consul)
Microservices Service Discovery Tutorial with Consul
[Reactive Microservices] (http://www.mammatustech.com/reactive-microservices)
[High Speed Microservices] (http://www.mammatustech.com/high-speed-microservices)
Reactive Microservices Tutorial, using the Reactor
QBit is mentioned in the Restlet blog
All code is written using JetBrains Idea - the best IDE ever!
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