Resolves checkstyle errors for naked-objects null-object object-mother object-pool observer queue-load-leveling (#1082)
* Reduces checkstyle errors in naked-objects * Reduces checkstyle errors in null-object * Reduces checkstyle errors in object-mother * Reduces checkstyle errors in object-pool * Reduces checkstyle errors in observer * Reduces checkstyle errors in queue-load-leveling
This commit is contained in:
committed by
Ilkka Seppälä
parent
1e76d91929
commit
6ef840f3cf
@ -26,69 +26,69 @@ package com.iluwatar.queue.load.leveling;
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import java.util.concurrent.ExecutorService;
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import java.util.concurrent.Executors;
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import java.util.concurrent.TimeUnit;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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/**
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*
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* Many solutions in the cloud involve running tasks that invoke services. In this environment,
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* if a service is subjected to intermittent heavy loads, it can cause performance or reliability issues.
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* <p>
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* A service could be a component that is part of the same solution as the tasks that utilize it, or it
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* could be a third-party service providing access to frequently used resources such as a cache or a storage service.
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* If the same service is utilized by a number of tasks running concurrently, it can be difficult to predict the
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* volume of requests to which the service might be subjected at any given point in time.
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* <p>
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* We will build a queue-based-load-leveling to solve above problem.
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* Refactor the solution and introduce a queue between the task and the service.
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* The task and the service run asynchronously. The task posts a message containing the data required
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* by the service to a queue. The queue acts as a buffer, storing the message until it is retrieved
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* by the service. The service retrieves the messages from the queue and processes them.
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* Requests from a number of tasks, which can be generated at a highly variable rate, can be passed
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* to the service through the same message queue.
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* <p>
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* The queue effectively decouples the tasks from the service, and the service can handle the messages
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* at its own pace irrespective of the volume of requests from concurrent tasks. Additionally,
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* there is no delay to a task if the service is not available at the time it posts a message to the queue.
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* <p>
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* In this example we have a class {@link MessageQueue} to hold the message {@link Message} objects.
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* All the worker threads {@link TaskGenerator} will submit the messages to the MessageQueue.
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* The service executor class {@link ServiceExecutor} will pick up one task at a time from the Queue and
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* execute them.
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*
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* Many solutions in the cloud involve running tasks that invoke services. In this environment, if a
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* service is subjected to intermittent heavy loads, it can cause performance or reliability
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* issues.
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*
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* <p>A service could be a component that is part of the same solution as the tasks that utilize
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* it, or it could be a third-party service providing access to frequently used resources such as a
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* cache or a storage service. If the same service is utilized by a number of tasks running
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* concurrently, it can be difficult to predict the volume of requests to which the service might be
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* subjected at any given point in time.
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*
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* <p>We will build a queue-based-load-leveling to solve above problem. Refactor the solution and
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* introduce a queue between the task and the service. The task and the service run asynchronously.
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* The task posts a message containing the data required by the service to a queue. The queue acts
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* as a buffer, storing the message until it is retrieved by the service. The service retrieves the
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* messages from the queue and processes them. Requests from a number of tasks, which can be
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* generated at a highly variable rate, can be passed to the service through the same message
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* queue.
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*
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* <p>The queue effectively decouples the tasks from the service, and the service can handle the
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* messages at its own pace irrespective of the volume of requests from concurrent tasks.
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* Additionally, there is no delay to a task if the service is not available at the time it posts a
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* message to the queue.
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*
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* <p>In this example we have a class {@link MessageQueue} to hold the message {@link Message}
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* objects. All the worker threads {@link TaskGenerator} will submit the messages to the
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* MessageQueue. The service executor class {@link ServiceExecutor} will pick up one task at a time
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* from the Queue and execute them.
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*/
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public class App {
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private static final Logger LOGGER = LoggerFactory.getLogger(App.class);
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//Executor shut down time limit.
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private static final int SHUTDOWN_TIME = 15;
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/**
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* Program entry point
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*
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* Program entry point.
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*
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* @param args command line args
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*/
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public static void main(String[] args) {
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// An Executor that provides methods to manage termination and methods that can
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// produce a Future for tracking progress of one or more asynchronous tasks.
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ExecutorService executor = null;
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try {
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// Create a MessageQueue object.
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MessageQueue msgQueue = new MessageQueue();
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LOGGER.info("Submitting TaskGenerators and ServiceExecutor threads.");
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// Create three TaskGenerator threads. Each of them will submit different number of jobs.
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Runnable taskRunnable1 = new TaskGenerator(msgQueue, 5);
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Runnable taskRunnable2 = new TaskGenerator(msgQueue, 1);
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Runnable taskRunnable3 = new TaskGenerator(msgQueue, 2);
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final Runnable taskRunnable1 = new TaskGenerator(msgQueue, 5);
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final Runnable taskRunnable2 = new TaskGenerator(msgQueue, 1);
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final Runnable taskRunnable3 = new TaskGenerator(msgQueue, 2);
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// Create e service which should process the submitted jobs.
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Runnable srvRunnable = new ServiceExecutor(msgQueue);
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final Runnable srvRunnable = new ServiceExecutor(msgQueue);
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// Create a ThreadPool of 2 threads and
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// submit all Runnable task for execution to executor..
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@ -96,17 +96,18 @@ public class App {
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executor.submit(taskRunnable1);
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executor.submit(taskRunnable2);
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executor.submit(taskRunnable3);
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// submitting serviceExecutor thread to the Executor service.
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executor.submit(srvRunnable);
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// Initiates an orderly shutdown.
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LOGGER.info("Intiating shutdown. Executor will shutdown only after all the Threads are completed.");
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LOGGER.info("Initiating shutdown."
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+ " Executor will shutdown only after all the Threads are completed.");
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executor.shutdown();
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// Wait for SHUTDOWN_TIME seconds for all the threads to complete
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// their tasks and then shut down the executor and then exit.
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if ( !executor.awaitTermination(SHUTDOWN_TIME, TimeUnit.SECONDS) ) {
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if (!executor.awaitTermination(SHUTDOWN_TIME, TimeUnit.SECONDS)) {
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LOGGER.info("Executor was shut down and Exiting.");
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executor.shutdownNow();
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}
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@ -24,12 +24,11 @@
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package com.iluwatar.queue.load.leveling;
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/**
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* Message class with only one parameter.
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*
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*/
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* Message class with only one parameter.
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*/
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public class Message {
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private final String msg;
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// Parameter constructor.
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public Message(String msg) {
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this.msg = msg;
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@ -39,7 +38,7 @@ public class Message {
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public String getMsg() {
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return msg;
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}
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@Override
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public String toString() {
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return msg;
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@ -25,30 +25,27 @@ package com.iluwatar.queue.load.leveling;
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import java.util.concurrent.ArrayBlockingQueue;
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import java.util.concurrent.BlockingQueue;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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/**
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*
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* MessageQueue class.
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* In this class we will create a Blocking Queue and
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* submit/retrieve all the messages from it.
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* MessageQueue class. In this class we will create a Blocking Queue and submit/retrieve all the
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* messages from it.
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*/
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public class MessageQueue {
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private static final Logger LOGGER = LoggerFactory.getLogger(App.class);
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private final BlockingQueue<Message> blkQueue;
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// Default constructor when called creates Blocking Queue object.
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public MessageQueue() {
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this.blkQueue = new ArrayBlockingQueue<Message>(1024);
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}
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/**
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* All the TaskGenerator threads will call this method to insert the
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* Messages in to the Blocking Queue.
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* All the TaskGenerator threads will call this method to insert the Messages in to the Blocking
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* Queue.
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*/
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public void submitMsg(Message msg) {
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try {
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@ -59,11 +56,10 @@ public class MessageQueue {
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LOGGER.error(e.getMessage());
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}
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}
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/**
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* All the messages will be retrieved by the ServiceExecutor by
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* calling this method and process them.
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* Retrieves and removes the head of this queue, or returns null if this queue is empty.
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* All the messages will be retrieved by the ServiceExecutor by calling this method and process
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* them. Retrieves and removes the head of this queue, or returns null if this queue is empty.
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*/
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public Message retrieveMsg() {
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Message retrievedMsg = null;
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@ -72,7 +68,7 @@ public class MessageQueue {
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} catch (Exception e) {
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LOGGER.error(e.getMessage());
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}
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return retrievedMsg;
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}
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}
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@ -27,10 +27,8 @@ import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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/**
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*
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* ServiceExecuotr class.
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* This class will pick up Messages one by one from
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* the Blocking Queue and process them.
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* ServiceExecuotr class. This class will pick up Messages one by one from the Blocking Queue and
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* process them.
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*/
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public class ServiceExecutor implements Runnable {
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@ -22,10 +22,10 @@
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*/
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package com.iluwatar.queue.load.leveling;
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/**
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* Task Interface.
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*
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*/
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*/
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public interface Task {
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void submit(Message msg);
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}
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import org.slf4j.LoggerFactory;
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/**
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* TaskGenerator class.
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* Each TaskGenerator thread will be a Worker which submit's messages to the queue.
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* We need to mention the message count for each of the TaskGenerator threads.
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*
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*/
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* TaskGenerator class. Each TaskGenerator thread will be a Worker which submit's messages to the
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* queue. We need to mention the message count for each of the TaskGenerator threads.
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*/
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public class TaskGenerator implements Task, Runnable {
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private static final Logger LOGGER = LoggerFactory.getLogger(App.class);
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// MessageQueue reference using which we will submit our messages.
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private final MessageQueue msgQueue;
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// Total message count that a TaskGenerator will submit.
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private final int msgCount;
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// Parameterized constructor.
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public TaskGenerator(MessageQueue msgQueue, int msgCount) {
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this.msgQueue = msgQueue;
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this.msgCount = msgCount;
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}
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/**
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* Submit messages to the Blocking Queue.
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*/
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@ -59,25 +57,25 @@ public class TaskGenerator implements Task, Runnable {
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LOGGER.error(e.getMessage());
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}
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}
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/**
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* Each TaskGenerator thread will submit all the messages to the Queue.
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* After every message submission TaskGenerator thread will sleep for 1 second.
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* Each TaskGenerator thread will submit all the messages to the Queue. After every message
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* submission TaskGenerator thread will sleep for 1 second.
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*/
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public void run() {
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int count = this.msgCount;
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try {
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while (count > 0) {
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String statusMsg = "Message-" + count + " submitted by " + Thread.currentThread().getName();
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this.submit(new Message(statusMsg));
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LOGGER.info(statusMsg);
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// reduce the message count.
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count--;
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// Make the current thread to sleep after every Message submission.
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Thread.sleep(1000);
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}
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