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The Latest Testing, Tools, and Frameworks Topics

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ActiveMQ and .NET combined!
ActiveMQ is one of the most popular messaging frameworks. For sure the most popular open source framework. Many people think that ActiveMQ works only with Java and this is not true at all. ActiveMQ can work with almost every popular language (including JavaScript!) through numerous protocols which it supports. Today I will show you how to use ActiveMQ in .NET-based solutions. Project setup Using VS 2010's Extension Manger I installed NuGet Package Manager. After installation and VS 2010 restart, I created a project called ActiveMQNMS. I right-clicked it and selected "Manage NuGet packages...". In the search field I typed: "ActiveMQ". There was a package called Apache.NMS.ActiveMQ. I installed it. (Note: ActiveMQ has one dependency - Apache.NMS package. The NMS package provides a unified API for working with different messaging frameworks and providers.) Starting ActiveMQ I already had ActiveMQ installed on my machine. If you don't have one, download it from http://activemq.apache.org. The default instance listens on 61616 port. However, mine is listening on 62626. If you want to run my code, please remember to change the port. To start ActiveMQ I executed: activemq-5.5.0\bin\activemq Depending on configured ports, you can use ActiveMQ web console to manage your queues, topics, subscribers, connections, embedded Apache Camel, etc. I'm using 8282 port, and the console URL is: http://localhost:8282/admin. Test stub In general the .NET API is almost a copy of the Java API. So if you're familiar with JMS and/or ActiveMQ you don't need any documentation. Please note TestIntialize and TestCleanup methods. using System; using Apache.NMS; using Apache.NMS.ActiveMQ; using Microsoft.VisualStudio.TestTools.UnitTesting; namespace ActiveMQNMS { [Serializable] public class Person { public string FirstName { get; set; } public string LastName { get; set; } } [TestClass] public class ActiveMqTest { private IConnection _connection; private ISession _session; private const String QUEUE_DESTINATION = "DotNet.ActiveMQ.Test.Queue"; [TestInitialize] public void TestInitialize() { IConnectionFactory factory = new ConnectionFactory("tcp://localhost:62626"); _connection = factory.CreateConnection(); _connection.Start(); _session = _connection.CreateSession(); } [TestCleanup] public void TestCleanup() { _session.Close(); _connection.Close(); } } } Writing Producer Here is the producer: [TestMethod] public void TestA() { IDestination dest = _session.GetQueue(QUEUE_DESTINATION); using (IMessageProducer producer = _session.CreateProducer(dest)) { var person = new Person { FirstName = "Łukasz", LastName = "Budnik" }; var objectMessage = producer.CreateObjectMessage(person); producer.Send(objectMessage); } } Run the test and refresh "Queues" list in ActiveMQ web console. You should see DotNet.ActiveMQ.Test.Queue queue with 1 enqueued and pending message. Purge the queue by hitting the purge link or you simply delete it. Writing Consumer Now we have to consume the message. Here is the code: [TestMethod] public void TestB() { Person person = null; IDestination dest = _session.GetQueue(QUEUE_DESTINATION); using (IMessageConsumer consumer = _session.CreateConsumer(dest)) { IMessage message; while ((message = consumer.Receive(TimeSpan.FromMilliseconds(2000))) != null) { var objectMessage = message as IObjectMessage; if (objectMessage != null) { person = objectMessage.Body as Person; if (person != null) { Assert.AreEqual("Łukasz", person.FirstName); Assert.AreEqual("Budnik", person.LastName); } } else { Assert.Fail("Object Message is null"); } } } if (person == null) { Assert.Fail("Person object is null"); } } Run tests. Refresh "Queues" tab in ActiveMQ web console. You should see 1 message enqueued and 1 message dequeued. As expected. Summary That's all. Simple, isn't it? ActiveMQ works very, very nicely with .NET. I have to find some performance comparison for ActiveMQ and MS or pure .C#/NET messaging frameworks. Or maybe you have it? Please share. cheers, Łukasz
April 15, 2013
by Łukasz Budnik
· 29,525 Views
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Monitoring with DataDog
Recently I found myself sending more and more business metrics to Datadog, a Software as a Service solution that promises to collect all your data points and build business metrics, displaying them as graphs and triggering alerts whenever they get to critically low (or high) levels. The goals The more your automated tests raises their level of abstraction, the more they become oriented to external quality (what the customer wants and does) instead of internal quality (low coupling, high cohesion of the software design). The largest end-to-end tests that we have in place at Onebip connect several different projects on an integration server and run everything from the creation of a purchase or subscription to its renewal and termination (events that would happen months after creation). However, even end-to-end tests cannot guarantee that our applications work against external resources, such as merchants, mobile carrier, and ISPs. The only way to catch integration problems is monitoring. These problems, like a mobile carrier experiencing an outage, may be due to our errors or to external conditions; but they should nevertheless be discovered as early as possible. The infrastructure Datadog is the only data-collection service that passed the stress tests of SLL, our solution architect. It ships as an UDP server that you pay basing on the number of machines you want to run it on; for example, a preproduction and a production server are a common choice to start out. The server collects data locally and periodically uploads it to Datadog in bursts, where you can access it via a web application or via APIs in case you want to call it from your build. The UDP protocol is aligned with the goals of metric collections: a silent server that decouples the sending of metrics from the rest of the business logic: UDP packets are just lost if no process is there listening to them, no errors are raised if the server crashes or is not running or installed for some reason for instance in development machines). The monitoring code, which you write, should be decoupled and asynchronous as much as possible. The part that talks over the network is already externalized in the DataDog server, but you don't want the user to wait because you have to send some strange number. So the internal part (sending via UDP) is performed in Listener objects that implement the Observer pattern. These object still have to be wrapped in all-encompassing try/catch constructs so that any errors in the monitoring part never influence the business logic. Againg, you don't want a payment to fail because of an exception in how monitoring DateTime objects are built. For PHP we built a SilentListener class to wrap all of our object: class SilentListener { private $wrapped; public function __construct($wrapped) { $this->wrapped = $wrapped; } public function __call($method, $args) { try { call_user_func_array(array($this->wrapped, $method), $args); } catch (Exception $e) { $this->log($e); } } }SLL An example In some countries, we receive payments through mobile-originated messages (MO), a fancy word for saying SMS sent by the end user. So a simple way to monitor if we are receiving payment or if the server is exploded is to upload a metric counting them every time we receive one (pseudo-JSON format to show you the data): { counter: 1 } However, we can be more precise than this: an external outage or an integration problem may happen to a lower level than the whole application. For example, MOs can be delayed in Argentina, by a single carrier, while the rest of the world is still working fine. So our data points look like this: { counter: 1, tags: { country: "IT", carrier: "Vodafone", merchant: "Tasty Cookies, Inc.", } } and in turn graphs on DataDog or calls to its API can set up filters so that we can, if necessary, view only the data related to any combination of country, carrier and merchant. The nice thing, SLL says, is that you just start send data from production and only after you have data points available you build a graph or an alert system basing on what appears to be the most important tags. For example, a big merchant may benefit from some dedicated monitoring, while minor countries such as Vietnam should be monitored as a whole since their traffic is by far lower than that of the others.
April 10, 2013
by Giorgio Sironi
· 16,625 Views · 1 Like
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Android Tutorial: Using the ViewPager
I've put together a quick tutorial that gets a ViewPager up and running (with the Support Library), in just a few steps.
April 10, 2013
by Isaac Taylor
· 240,333 Views · 5 Likes
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Configuring Apache SolrCloud on Amazon VPC
We are going to construct an Apache SolrCloud (4.1) with 12 node EC2 instance(s) inside Amazon VPC in this post. Since the search data stored inside the SolrCloud is critical, we are going to build High availability at Solr Node level as well as AZ level. This setup will be done inside private subnet of Amazon VPC and will leverage 3 Availability Zones of the Amazon EC2 Region. Deployment architecture of the setup is given below: A small brief about setup: 3 Zookeepers will be deployed on 3 Availability Zones. ZK EC2 instances will be deployed on the Private subnet of the Amazon VPC. 3 Solr Shard EC2 instances will be deployed on Private subnet of Availability Zone 1 inside Amazon VPC. 3 Solr Replica EC2 instances will be deployed on Private subnet of Availability Zone 2 inside Amazon VPC. 3 Solr Replica EC2 instances will be deployed on Private subnet of Availability Zone 3 inside Amazon VPC. EBS optimized + PIOPS EC2 instances can be used for Solr EC2 Nodes To know more about SolrCloud Deployment best practices on Amazon VPC, Refer article: http://harish11g.blogspot.in/2013/03/Apache-Solr-cloud-on-Amazon-EC2-AWS-VPC-implementation-deployment.html Step 1: Creating Virtual Private Cloud on AWS Create a VPC with Public and Private Subnets. Assume the Load balancer and Web/App Servers can reside on the public subnet and Apache Solr Cloud will reside on the private subnet of the VPC. Step 2: Assigning the IP for the Subnets Create the subnet with its IP range. Chose the Availability zone for this subnet. Step 3: Multiple Subnets on Multiple AZ’s Create multiple subnets in Multiple AZ for building a Highly available setup for SolCloud Step 4: Install Java for Zookeeper & Solr Amazon Linux is chosen as the EC2 OS variant. Execute the following instructions on the respective EC2 nodes after their launch. EC2 instances should be launched in Multi-AZ in Multiple VPC Private Subnets. Solr uses Zookeeper as the cluster configuration and coordinator. Zookeeper is a distributed file system containing information about all the Solr Nodes. Solrconfig.xml, Schema.xml etc are stored in the repository.We have used Oracle-Sun Java over OpenJDK “sudo -s” “cd /opt” “wget --no-cookies --header "Cookie: gpw_e24=http%3A%2F%2Fwww.oracle.com%2Ftechnetwork%2Fjava%2Fjavase%2Fdownloads%2Fjdk-7u3-download-1501626.html;" http://download.oracle.com/otn-pub/java/jdk/7u13-b20/jdk-7u13-linux-x64.rpm” “mv jdk-7u10-linux-x64.rpm?AuthParam=1357217677_76ec3d8d9a3644f4b9ec1ea79e1fcf33 jdk-7u10-linux-x64.rpm jdk-7u10-linux-x64.rpm” “sudo rpm -ivh jdk-7u10-linux-x64.rpm” “alternatives --install /usr/bin/java java /usr/java/jdk1.7.0_10/jre/bin/java 20000” “alternatives --install /usr/bin/javaws javaws /usr/java/jdk1.7.0_10/jre/bin/javaws 20000” “alternatives --install /usr/bin/javac javac /usr/java/jdk1.7.0_10/bin/javac 20000” “alternatives --install /usr/bin/jar jar /usr/java/jdk1.7.0_10/bin/jar 20000” “alternatives --install /usr/bin/java java /usr/java/jre1.7.0_10/bin/java 20000” “alternatives --install /usr/bin/javaws javaws /usr/java/jre1.7.0_10/bin/javaws 20000” “alternatives --configure java” Add JAVA_HOME in .bash_profile: “vim ~/.bash_profile” export JAVA_HOME="/usr/java/jdk1.7.0_09" export PATH=$PATH:$JAVA_HOME/bin Restart the instance. “init 6” Check the version of Java installed using “java -version” command Step 5: Configure the ZooKeeper (v3.4.5) Ensemble: Since single Zookeeper is not ideal for a large Solr cluster (because of SPOF), it is recommended to configure multiple Zookeepers in concert as an ensemble .In this step we will install and configure 3 ZooKeeper EC2 nodes spanning across 3 different Availability Zones in respective Private Subnets inside a VPC.Zookeeper will be configured on Amazon Linux. “sudo yum update” “sudo -s” “ cd /opt” “wget http://apache.techartifact.com/mirror/zookeeper/zookeeper-3.4.5/zookeeper-3.4.5.tar.gz” “tar -xzvf zookeeper-3.4.5.tar.gz” “rm zookeeper-3.4.5.tar.gz” “cd zookeeper-3.4.5” “cp conf/zoo_sample.cfg conf/zoo.cfg” Add the following lines in zoo.cfg “vim conf/zoo.cfg” dataDir=/data server.1=[zk-server01-ip]:2888:3888 server.2=[zk-server02-ip]:2888:3888 server.3=[zk-server03-ip]:2888:3888 “cd /opt/zookeeper/data” “vim myid” 1 or 2 or 3 respectively on each ZooKeeper EC2 instances in Multi-AZ #Starting ZooKeeper Program. “bin/zkServer.sh start” Follow the above steps in all the ZooKeeper servers. ReferClustered (Multi-Server) SetupandConfiguration Parameters for understandingquorum_port,leader_election_port and the filemyid. Every ZooKeeper node needs to know about every other ZK EC2 node in the ensemble, and a majority of EC2’s (called a Quorum) are needed to provide the service. Make sure the VPC IP of all the Zookeepers are given in every ZK node, like the one in following command. server.1=:: server.2=:: server.3=:: Step 6: Configuring Solr 4.1 EC2 node In this step we will install and configure 3 Apache Solr4.1 Shard EC2 instances in a single Amazon AZ and 2 Solr Replicas in another AZ in their respective Private subnets. Please note that we have to specify all the ZooKeeper (ZK) hosts on every Solr instance as below. Note: Solr gets comes with jetty in default, it is suggested to use tomcat for production nodes. Perform the following after launching EC2 instances in Multi-AZ in Multiple VPC Private Subnets. “sudo -s” “yum update” “cd /opt” “wget http://apache.techartifact.com/mirror/lucene/solr/4.1.0/apache-solr-4.1.0.tgz” “tar -xzvf apache-solr-4.1.0.tgz” “rm -f apache-solr-4.1.0.tgz” On Solr Shard/Replica Instances: “cd /opt/apache-solr-4.0.0/example/” “vim /opt/apache-solr-4.0.0/example/solr/collection1/conf/solrconfig.xml” Change /var/data/solr to /data Starting Solr4.1 Shard/Replica Java Program. “java -Dbootstrap_confdir=./solr/collection1/conf -Dcollection.configName=SolrCloud4.1-Conf -DnumShards=3 -DzkHost=[zk-server01-ip]:2181,[zk-server02-ip]:2181,[zk-server03-ip]:2181 -jar start.jar “java -DzkHost= DzkHost=:,:,: -jar start.jar” -DnumShards: the number of shards that will be present. Note that once set, this number cannot be increased or decreased without re-indexing the entire data set. (Dynamically changing the number of shards is part of the Solr roadmap!) -DzkHost: a comma-separated list of ZooKeeper servers. -Dbootstrap_confdir, -Dcollection.configName: these parameters are specified only when starting up the first Solr instance. This will enable the transfer of configuration files to ZooKeeper. Subsequent Solr instances need to just point to the ZooKeeper ensemble. The above command with –DnumShards=3 specifies that it is a 3-shard cluster. The first Solr EC2 node automatically becomes shard1 and the second Solr EC2 node automatically becomes shard2 …. What happens when we launch fourth Solr instance in this cluster? Since it’s a 3-shard cluster, the fourth Solr EC2 node automatically becomes a replica of shard1 and the fifth Solr EC2 node becomes a replica of shard2. Step 7: AWS Security Group TCP Ports to be enabled: Configure the following TCP ports on the AWS security group to allow access between Solr and ZK nodes deployed in Multiple AZ. Solr Shards/Replicas will connect to ZK through TCP Port 2181 Solr Web Interface with Jetty container through TCP Port 8983 Solr Web Interface with Tomcat container through TCP Port 8080 Every instance that is part of the ZooKeeper ensemble should know about every other machine in the ensemble. We can accomplish this with the series of lines of the form server.id=host:port:port For example, server.1=[vpc-ip]:2888:3888 server.2=[vpc-ip]:2888:3888 server.3=[vpc-ip]:2888:3888 TCP Ports 2888, 3888 should be opened for ZK Ensemble.
April 5, 2013
by Harish Ganesan
· 7,883 Views
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How to use Mock/Stub in Spring Integration Tests
Generally, you pick up a subset of components in some integration tests to check if they are glued as expected. To achieve this, they are usually really invoked, but sometimes, it is too expensive to do so. For example, Component A invokes Component B, and Component B has a dependency on an external system which does not have a test server. We really want to verify the configurations, it seems the only way is replacing Component B with test double after wiring Component A and B. Let's start with Strategy A: Manual Injecting @RunWith(SpringJUnit4ClassRunner.class) @ContextConfiguration(locations = "classpath:config.xml") public class SomeAppIntegrationTestsUsingManualReplacing { private Mockery context = new JUnit4Mockery(); (1) private SomeInterface mock = context.mock(SomeInterface.class); (2) @Resource(name = "someApp") private SomeApp someApp; (3) @Before public void replaceDependenceWithMock() { someApp.setDependence(mock); (4) } @DirtiesContext @Test public void returnsHelloWorldIfDependenceIsAvailable() throws Exception { context.checking(new Expectations() { { allowing(mock).isAvailable(); will(returnValue(true)); (5) } }); String actual = someApp.returnHelloWorld(); assertEquals("helloWorld", actual); context.assertIsSatisfied(); (6) } } We get a spring bean someApp(Component A in this case), and it has a denpendence on SomeInterface's(Component B in this case). We inject mock (declare and init at step 4) to someApp, thus the test passes without sending request to the external system. The context.assertIsSatisfied()(at step 6 ) is very important as we use SpringJUnit4ClassRunner as junit runner instead of JMock, so you have to explictly assert that all expectations are satisfied. There are two downsides of the previous strategy: Firstly, if there are more than one mock, you have to inject them one by one, which is very tedious especially when you need to inject mocks into serveral spring bean. Secondly, the wiring is not tested. For example, if I forget to write the integration tests using manual inject strategy is not going to tell. Strategy B: Using predefined BeanPostProcessor Spring provides BeanPostProcessor which is very useful when you want to replace some bean after the wiring is done. According to the reference, application context will auto detect all BeanPostProcessor registered in metadata(usually in xml format). public class PredefinedBeanPostProcessor implements BeanPostProcessor { public Mockery context = new JUnit4Mockery(); (1) public SomeInterface mock = context.mock(SomeInterface.class); (2) @Override public Object postProcessBeforeInitialization(Object bean, String beanName) throws BeansException { return bean; } @Override public Object postProcessAfterInitialization(Object bean, String beanName) throws BeansException { if ("dependence".equals(beanName)) { return mock; } else { return bean; } } } @RunWith(SpringJUnit4ClassRunner.class) @ContextConfiguration(locations = { "classpath:config.xml", "classpath:predefined.xml" }) (1) public class SomeAppIntegrationTestsUsingPredefinedReplacing { @Resource(name = "someApp") private SomeApp someApp; @Resource(name = "predefined") private PredefinedBeanPostProcessor fixture; @Test public void returnsHelloWorldIfDependenceIsAvailable() throws Exception { fixture.context.checking(new Expectations() { { allowing(fixture.mock).isAvailable(); will(returnValue(true)); } }); String actual = someApp.returnHelloWorld(); assertEquals("helloWorld", actual); fixture.context.assertIsSatisfied(); } } Notice there is an extra config xml in which the PredefinedBeanPostProcessor is registered(at step 1). The predefined.xml is placed in src/test/resources/, so it will not be packed into the artifact for production. For each test, using Strategy B requires inputting both a java file and a xml which is quite verbose. Now we have learned the pros and cons of Strategy A and Strategy B. What about a hybrid version -- killing two birds with one stone. Therefore we have the next strategy. Strategy C:Dynamic Injecting public class TestDoubleInjector implements BeanPostProcessor { private static Map MOCKS = new HashMap(); (1) @Override public Object postProcessBeforeInitialization(Object bean, String beanName) throws BeansException { return bean; } @Override public Object postProcessAfterInitialization(Object bean, String beanName) throws BeansException { if (MOCKS.containsKey(beanName)) { return MOCKS.get(beanName); } return bean; } public void addMock(String beanName, Object mock) { MOCKS.put(beanName, mock); } public void clear() { MOCKS.clear(); } } @RunWith(JMock.class) public class SomeAppIntegrationTestsUsingDynamicReplacing { private Mockery context = new JUnit4Mockery(); private SomeInterface mock = context.mock(SomeInterface.class); private SomeApp someApp; private ConfigurableApplicationContext applicationContext; private TestDoubleInjector fixture = new TestDoubleInjector(); (1) @Before public void replaceDependenceWithMock() { fixture.addMock("dependence", mock); (2) applicationContext = new ClassPathXmlApplicationContext(new String[] { "classpath:config.xml", "classpath:dynamic.xml" }); (3) someApp = (SomeApp) applicationContext.getBean("someApp"); } @Test public void returnsHelloWorldIfDependenceIsAvailable() throws Exception { context.checking(new Expectations() { { allowing(mock).isAvailable(); will(returnValue(true)); } }); String actual = someApp.returnHelloWorld(); assertEquals("helloWorld", actual); } @After public void clean() { applicationContext.close(); fixture.clear(); } } The TestDoubleInjector class is an implementation of Monostate pattern. Mocks are added to the static map before the application context being created. When another TestDoubleInjector instance (defined in dynamic.xml) is initiated, it can share the static map for replacement. Just beware to clear the static map after tests. By the way, you could use Stub instead of Mocks with same strategies. Please do not hesitate to contact me if you might have any questions. And I do appreciate it, if you could let me know you have a better idea. Thanks! Resources: http://www.jmock.org http://www.oracle.com/technetwork/articles/entarch/spring-aop-with-ejb5-093994.html(I saw BeanPostProcessor the first time in this post)
April 3, 2013
by Hippoom Zhou
· 51,933 Views · 1 Like
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HashSet vs. TreeSet vs. LinkedHashSet
in a set, there are no duplicate elements. that is one of the major reasons to use a set. there are 3 commonly used implementations of set in java: hashset, treeset and linkedhashset. when and which to use is an important question. in brief, if we want a fast set, we should use hashset; if we need a sorted set, then treeset should be used; if we want a set that can be read by following its insertion order, linkedhashset should be used. 1. set interface set interface extends collection interface. in a set, no duplicates are allowed. every element in a set must be unique. we can simply add elements to a set, and finally we will get a set of elements with duplicates removed automatically. 2. hashset vs. treeset vs. linkedhashset hashset is implemented using a hash table. elements are not ordered. the add, remove, and contains methods has constant time complexity o(1). treeset is implemented using a tree structure(red-black tree in algorithm book). the elements in a set are sorted, but the add, remove, and contains methods has time complexity of o(log (n)). it offers several methods to deal with the ordered set like first(), last(), headset(), tailset(), etc. linkedhashset is between hashset and treeset. it is implemented as a hash table with a linked list running through it, so it provides the order of insertion. the time complexity of basic methods is o(1). 3. treeset example treeset tree = new treeset(); tree.add(12); tree.add(63); tree.add(34); tree.add(45); iterator iterator = tree.iterator(); system.out.print("tree set data: "); while (iterator.hasnext()) { system.out.print(iterator.next() + " "); } output is sorted as follows: tree set data: 12 34 45 63 now let's define a dog class as follows: class dog { int size; public dog(int s) { size = s; } public string tostring() { return size + ""; } } let's add some dogs to treeset like the following: import java.util.iterator; import java.util.treeset; public class testtreeset { public static void main(string[] args) { treeset dset = new treeset(); dset.add(new dog(2)); dset.add(new dog(1)); dset.add(new dog(3)); iterator iterator = dset.iterator(); while (iterator.hasnext()) { system.out.print(iterator.next() + " "); } } } compile ok, but run-time error occurs: exception in thread "main" java.lang.classcastexception: collection.dog cannot be cast to java.lang.comparable at java.util.treemap.put(unknown source) at java.util.treeset.add(unknown source) at collection.testtreeset.main(testtreeset.java:22) because treeset is sorted, the dog object need to implement java.lang.comparable's compareto() method like the following: class dog implements comparable{ int size; public dog(int s) { size = s; } public string tostring() { return size + ""; } @override public int compareto(dog o) { return size - o.size; } } the output is: 1 2 3 4. hashset example hashset dset = new hashset(); dset.add(new dog(2)); dset.add(new dog(1)); dset.add(new dog(3)); dset.add(new dog(5)); dset.add(new dog(4)); iterator iterator = dset.iterator(); while (iterator.hasnext()) { system.out.print(iterator.next() + " "); } output: 5 3 2 1 4 note the order is not certain. 5. linkedhashset example linkedhashset dset = new linkedhashset(); dset.add(new dog(2)); dset.add(new dog(1)); dset.add(new dog(3)); dset.add(new dog(5)); dset.add(new dog(4)); iterator iterator = dset.iterator(); while (iterator.hasnext()) { system.out.print(iterator.next() + " "); } the order of the output is certain and it is the insertion order. 2 1 3 5 4 6. performance testing the following method tests the performance of the three class on add() method. public static void main(string[] args) { random r = new random(); hashset hashset = new hashset(); treeset treeset = new treeset(); linkedhashset linkedset = new linkedhashset(); // start time long starttime = system.nanotime(); for (int i = 0; i < 1000; i++) { int x = r.nextint(1000 - 10) + 10; hashset.add(new dog(x)); } // end time long endtime = system.nanotime(); long duration = endtime - starttime; system.out.println("hashset: " + duration); // start time starttime = system.nanotime(); for (int i = 0; i < 1000; i++) { int x = r.nextint(1000 - 10) + 10; treeset.add(new dog(x)); } // end time endtime = system.nanotime(); duration = endtime - starttime; system.out.println("treeset: " + duration); // start time starttime = system.nanotime(); for (int i = 0; i < 1000; i++) { int x = r.nextint(1000 - 10) + 10; linkedset.add(new dog(x)); } // end time endtime = system.nanotime(); duration = endtime - starttime; system.out.println("linkedhashset: " + duration); } from the output below, we can clearly wee that hashset is the fastest one. hashset: 2244768 treeset: 3549314 linkedhashset: 2263320 if you enjoyed this article and want to learn more about java collections, check out this collection of tutorials and articles on all things java collections.
March 29, 2013
by Ryan Wang
· 181,849 Views · 3 Likes
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AWS VPC NAT Instance Failover and High Availability
Amazon Virtual Private Cloud (VPC) is a great way to setup an isolated portion of AWS and control the network topology. It is a great way to extend your data center and use AWS for burst requirements. With the latest VPC for Everyone announcement, what was earlier "Classic" and "VPC" in AWS will soon be only VPC. That is, every deployment in AWS will be on a VPC even though one might not need all the additional features that VPC provides. One might eventually start looking at utilizing VPC features such as multiple Subnets, Network isolation, Network ACLs, etc.. Those who have already worked with VPC's understand the role of NAT Instance in a VPC. When you create a VPC, you create them with multiple Subnets (Public and Private). Instances launched in the Public Subnet have direct internet connectivity to send and receive internet traffic through the internet gateway of the VPC. Typically, internet facing servers such as web servers are kept in the Public Subnet. A Private Subnet can be used to launch Instances that do not require direct access from the internet. Instances in a Private Subnet can access the Internet without exposing their private IP address by routing their traffic through a Network Address Translation (NAT) instance in the Public Subnet. AWS provides an AMI that can be launched as a NAT Instance. Following diagram is the representation of a standard VPC that gets provisioned through the AWS Management Console wizard. Standard Private and Public Subnets in a VPC The above architecture has A Public Subnet that has direct internet connectivity through the Internet Gateway. Web Instances can be placed within the Public Subnet The custom Route Table associated with Public Subnet will have the necessary routing information to route traffic to the Internet Gateway A NAT Instance is also provisioned in the Public Subnet A Private Subnet that has outbound internet connectivity through the NAT Instance in the Public Subnet The Main Route Table is by default associated with the Private Subnet. This will have necessary routing information to route internet traffic to the NAT Instance Instances in the Private Subnet will use the NAT Instance for outbound internet connectivity. For example, DB backups from standby that needs to be stored in S3. Background programs that make external web services calls Of course, the above architecture has limited High Availability since all the Subnets are created within the same Availability Zone. We can avoid this by creating multiple Subnets in multiple Availability Zones. Public and Private Subnets with multiple Availability Zones Additional Subnets (Public and Private) are created in one another Availability Zone Both Private Subnets are attached to the Main Routing Table Both Public Subnets are attached to the same Custom Routing Table Instances in the Private Subnet still continue to use the NAT Instance for outbound internet connectivity Though we increased the High Availability by utilizing multiple Availability Zones, the NAT Instance is still a Single Point of Failure. NAT Instance is just another EC2 Instance that can become unavailable any time. The updated architecture below uses two NAT Instances to provide failover and High Availability for the NAT Instances NAT Instance High Availability Each Subnet is associated with its own Route Table NAT1 is provisioned in Public Subnet 1 NAT2 is provisioned in Public Subnet 2 Private Subnet 1's Route Table (RT) has routing entry to NAT1 for internet traffic Private Subnet 2's Route Table (RT) has routing entry to NAT2 for internet traffic NAT Instance HA Illustration A script can be installed on both the NAT Instances to monitor each other and swap the routing table association if one of them fails. For example, if NAT1 detects that NAT2 is not responding to its ping requests, it can change the Route Table of Private Subnet 2 to NAT1 for internet traffic. Once NAT2 becomes operational again, a reverse swapping can happen. AWS has a pretty good documentation on this and a sample script for the swapping. Apart from HA, the above architecture also provides better overall throughput, since during normal conditions, both NAT Instances can be used to drive the outbound internet requirements of the VPC. If there are workloads that requires a lot of outbound internet connectivity, having more than one NAT Instance would make sense. Of course, you are still limited with one NAT Instance per Subnet.
March 28, 2013
by Raghuraman Balachandran
· 18,897 Views
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Accessing AWS Without Key and Secret
If you are using Amazon Web Services(AWS), you are probably aware how to access and use resources like SNS, SQS, S3 using key and secret. With the aws-java-sdk that is straight forward: AmazonSNSClient snsClient = new AmazonSNSClient( new BasicAWSCredentials("your key", "your secret")) One of the difficulties with this approach is storing the key/secret securely especially when there are different set of these for different environments. Using java property files, combined with maven or spring profiles might help a little bit to externalize the key/secret out of your source code, but still doesn't solve the issue of securely accessing these resources. Amazon has another service to help you in this occasion. No, no, this is not one more service to pay for in order to use the previous services. It is a free service, actually it is a feature of the amazon account. AWS Identity and Access Management (IAM) lets you securely control access to AWS services and resources for your users, you can manage users and groups and define permissions for AWS resources. One interesting functionality of IAM is the ability to assign roles to EC2 instances. The idea is you create roles with sets of permissions and you launch an EC2 instance by assigning the role to the instance. And when you deploy an application on that instance, the application doesn't need to have access key and secret in order to access other amazon resource. The application will use the role credentials to sign the requests. This has a number of benefits like a centralized place to control all the instances credentials, reduced risk with auto refreshing credentials and so on. Here is a short video demonstrating how to assign roles to an EC2 instance: Once you have role based security enabled for an instance, to access other resources from that instances you have to create and AwsClient using the chained credential provider: AmazonSNSClient snsClient = new AmazonSNSClient( new DefaultAWSCredentialsProviderChain()) The provider will search your system properties, environment properties and finally call instance metadata API to retrieve the role credentials in chain of responsibility fashion. It will also refresh the credentials in the background periodically depending on its expiration period. And finally, if you want to use role based security from Camel applications running on Amazon, all you have to do is create an instance of the client with configured chained credentials object and don't specify any key or secret: from("direct:start") .to("aws-sns://MyTopic?amazonSNSClient=#snsClient");
March 26, 2013
by Bilgin Ibryam
· 14,488 Views
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5 Ways Objects Can Communicate With Each Other Heading Towards Decoupling
Way 1. Simple method call Object A calls a method on object B. This is clearly the simplest type of communication between two objects but is also the way which results in the highest coupling. Object A’s class has a dependency upon object B’s class. Wherever you try to take object A’s class, object B’s class (and all of its dependencies) are coming with it. Way 2. Decouple the callee from the caller Object A’s class declares an interface and calls a method on that interface. Object B’s class implements that interface. This is a step in the right direction as object A’s class has no dependency on object B’s class. However, something else has to create object B and introduce it to object A for it to call. So we have created the need for an additional class which has a dependency upon object B’s class. We have also created a dependency from B to A. However, these can be a small price to pay if we are serious about taking object A’s class off to other projects. Way 3. Use an Adaptor Object A’s class declares an interface and calls a method on that interface. An adaptor class implements the interface and wraps object B, forwarding calls to it. This frees up object B’s class from being dependent on object A’s class. Now we are getting closer to some real decoupling. This is particularly useful if object B’s class is a third-party class which we have no control over. Way 4. Dependency Injection Dependency injection is used to find, create and call object B. This amounts to deferring until runtime how object A will talk to object B. This way certainly feels to have the lowest coupling, but in reality just shifts the coupling problem into the wiring realm. At least before we could rely on the compiler to ensure that there was a concrete object on the other end of each call – and furthermore we had the convenience of using the development tools to help us unpick the interaction between objects. Way 5. Chain of command pattern The chain of command pattern is used to allow object A to effectively say “does anyone know how to handle this call?”. Object B, which is listening out for these cries for help, picks up the message and figures out for itself if it is able to respond. This approach does mean that object A has to be ready for the outcome that nobody is able to respond, however it buys us great flexibility in how the responder is implemented. Chain of command – way 5 – is the decoupling winner and here's an example to help explain why. Let object A be a raster image file viewer, with responsibilities for allowing the user to pick the file to open, and zoom in and out on the image as it is displayed. Let object B be a loader which has the responsibility of opening a gif file and returning an array of colored pixels. Our aim is to avoid tying object A's class to object B's class because object B's class uses a third party library. Additionally, object A doesn't want to know about how the image file is interpreted, or even if it is a gif, jpg, png or whatever. In this example object B, or more likely a wrapper of object B, will declare a method which equips it to respond to any requests to open an image file. The method will respond with an array of pixels if the file is of a format it recognizes, or respond with null if it does not recognize the format. The framework then simply asks handlers in turn until one provides a non-null response. With this framework in place we are now free to slide in more image loaders with the addition of just one more handler class. And furthermore, on the source end of the call, we can add other classes to not just view the images, but print them, edit them or manipulate them in any other way we choose. In conclusion, we can see that decoupling can be achieved and yield flexibility, but this does not mean it is appropriate for every call from one object to another. The best thing to do is start with straight method calls, but keep cohesion in mind. Then if at a later stage it becomes necessary to swap in and out different objects it won't be too hard to extract an interface and put in place a decoupling mechanism.
March 22, 2013
by Paul Wells
· 43,296 Views · 2 Likes
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Client For ActiveMQ
This Post explains Topics in Active MQ (Message Broker) with Subscribing and Publishing. For this we will write two java clients. As we did for wso2 Message Broker TopicSubscriber.java to Subcribe for messages TopicPublisher.java to to Publish the messages Let's Start. [1] Get Active MQ from http://activemq.apache.org/download.html [1.1] Start Active MQ from \bin\activemq.bat You can see the started server form http://localhost:8161/admin/ [2] Create Porject "Client" on IDE that you preferred [3] Add activemq-all-5.7.0.jar to lib Dir in the project (activemq-all-5.7.0.jar can be found in root folder) [4] Creat class "TopicSubscriber.java" to Subcribe for messages package simple; import java.util.Properties; import javax.jms.JMSException; import javax.jms.Message; import javax.jms.MessageListener; import javax.jms.Session; import javax.jms.TextMessage; import javax.jms.Topic; import javax.jms.TopicConnection; import javax.jms.TopicConnectionFactory; import javax.jms.TopicSession; import javax.naming.InitialContext; import javax.naming.NamingException; public class TopicSubscriber { private String topicName = "news.sport"; private String initialContextFactory = "" +"org.apache.activemq.jndi.ActiveMQInitialContextFactory"; private String connectionString = "tcp://" +"localhost:61616"; private boolean messageReceived = false; public static void main(String[] args) { TopicSubscriber subscriber = new TopicSubscriber(); subscriber.subscribeWithTopicLookup(); } public void subscribeWithTopicLookup() { Properties properties = new Properties(); TopicConnection topicConnection = null; properties.put("java.naming.factory.initial", initialContextFactory); properties.put("connectionfactory.QueueConnectionFactory", connectionString); properties.put("topic." + topicName, topicName); try { InitialContext ctx = new InitialContext(properties); TopicConnectionFactory topicConnectionFactory = (TopicConnectionFactory) ctx .lookup("QueueConnectionFactory"); topicConnection = topicConnectionFactory.createTopicConnection(); System.out .println("Create Topic Connection for Topic " + topicName); while (!messageReceived) { try { TopicSession topicSession = topicConnection .createTopicSession(false, Session.AUTO_ACKNOWLEDGE); Topic topic = (Topic) ctx.lookup(topicName); // start the connection topicConnection.start(); // create a topic subscriber javax.jms.TopicSubscriber topicSubscriber = topicSession .createSubscriber(topic); TestMessageListener messageListener = new TestMessageListener(); topicSubscriber.setMessageListener(messageListener); Thread.sleep(5000); topicSubscriber.close(); topicSession.close(); } catch (JMSException e) { e.printStackTrace(); } catch (NamingException e) { e.printStackTrace(); } catch (InterruptedException e) { e.printStackTrace(); } } } catch (NamingException e) { throw new RuntimeException("Error in initial context lookup", e); } catch (JMSException e) { throw new RuntimeException("Error in JMS operations", e); } finally { if (topicConnection != null) { try { topicConnection.close(); } catch (JMSException e) { throw new RuntimeException( "Error in closing topic connection", e); } } } } public class TestMessageListener implements MessageListener { public void onMessage(Message message) { try { System.out.println("Got the Message : " + ((TextMessage) message).getText()); messageReceived = true; } catch (JMSException e) { e.printStackTrace(); } } } } [5] Creat class "TopicPublisher.java" to to Publish the messages package simple; import javax.jms.*; import javax.naming.InitialContext; import javax.naming.NamingException; import java.util.Properties; public class TopicPublisher { private String topicName = "news.sport"; private String initialContextFactory = "org.apache.activemq" +".jndi.ActiveMQInitialContextFactory"; private String connectionString = "tcp://localhost:61616"; public static void main(String[] args) { TopicPublisher publisher = new TopicPublisher(); publisher.publishWithTopicLookup(); } public void publishWithTopicLookup() { Properties properties = new Properties(); TopicConnection topicConnection = null; properties.put("java.naming.factory.initial", initialContextFactory); properties.put("connectionfactory.QueueConnectionFactory", connectionString); properties.put("topic." + topicName, topicName); try { // initialize // the required connection factories InitialContext ctx = new InitialContext(properties); TopicConnectionFactory topicConnectionFactory = (TopicConnectionFactory) ctx .lookup("QueueConnectionFactory"); topicConnection = topicConnectionFactory.createTopicConnection(); try { TopicSession topicSession = topicConnection.createTopicSession( false, Session.AUTO_ACKNOWLEDGE); // create or use the topic System.out.println("Use the Topic " + topicName); Topic topic = (Topic) ctx.lookup(topicName); javax.jms.TopicPublisher topicPublisher = topicSession .createPublisher(topic); String msg = "Hi, I am Test Message"; TextMessage textMessage = topicSession.createTextMessage(msg); topicPublisher.publish(textMessage); System.out.println("Publishing message " +textMessage); topicPublisher.close(); topicSession.close(); Thread.sleep(20); } catch (InterruptedException e) { e.printStackTrace(); } } catch (JMSException e) { throw new RuntimeException("Error in JMS operations", e); } catch (NamingException e) { throw new RuntimeException("Error in initial context lookup", e); } } } [6] Firstly Run "TopicSubscriber.java" and then run "TopicPublisher.java" Here is out put from both TopicSubscriber:: Create Topic Connection for Topic news.sport Got the Message : Hi, I am Test Message TopicPublisher:: Use the Topic news.sport Publishing message ActiveMQTextMessage {commandId = 0, responseRequired = false, messageId = ID:Madhuka-THINK-51683-1359787878456-1:1:1:1:1, originalDestination = null, originalTransactionId = null, producerId = null, destination = topic://news.sport, transactionId = null, expiration = 0, timestamp = 1359787878729, arrival = 0, brokerInTime = 0, brokerOutTime = 0, correlationId = null, replyTo = null, persistent = true, type = null, priority = 4, groupID = null, groupSequence = 0, targetConsumerId = null, compressed = false, userID = null, content = null, marshalledProperties = null, dataStructure = null, redeliveryCounter = 0, size = 0, properties = null, readOnlyProperties = false, readOnlyBody = false, droppable = false, text = Hi, I am Test Message} [More] Here is full message that we have send to TopicSubscriber. We can get that any parameter in above. Here is sample to get TimeStamp and ID from JMS message. public class TestMessageListener implements MessageListener { public void onMessage(Message message) { try { System.out.println("Got the Message TimeStamp: " + message.getJMSTimestamp()); System.out.println("Got the Message JMS ID : " + message.getJMSMessageID()); messageReceived = true; } catch (JMSException e) { e.printStackTrace(); } } } Now go to ActiveMQ server at http://localhost:8161/admin/ See that Topic and message count for that topic. Now you time to check more in 'Active MQ'
March 16, 2013
by Madhuka Udantha
· 18,446 Views
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Bring Ruby VCR to Javascript testing with Capybara and puffing-billy
Let’s say you are writing an application in Ruby. You are probably talking to every API under the sun and are happily writing tests to make sure your code isn’t failing. Because you don’t want to rely on 3rd parties or an internet connection to make your tests pass or fail you mock everything with let’s say, Webmock. This also makes your tests much much faster. After all even the fastest internet is much slower than the processor talking to its memory. If you’re too lazy to mock out every API under the sun, you might use VCR to record requests and play them back later. The main advantage being, you don’t have to worry about meticulously reimplementing everything, and you can nuke the recordings at any time to make sure your code still works against the real API. Life is good. Enter Javascript, stage left Then Javascript becomes more and more prominent. Suddenly your application’s logic is shifting from backend to browser and before you know it, most of your tests are pretty irrelevant. You’re fine for a while with Capybara or Cucumber. Launch a headless browser, click around the site from the comfort of RSpec, make sure users see what they’re supposed to. Balance restored. Then you add a payment form. Or something. Suddenly your frontend is talking to an API. In case of Stripe or Balanced it’s even a feature. A great benefit for the user. jQuery(function($) { $('#payment-form').submit(function(event) { var $form = $(this); // Disable the submit button to prevent repeated clicks $form.find('button').prop('disabled', true); Stripe.createToken($form, stripeResponseHandler); // Prevent the form from submitting with the default action return false; }); }); Well that sucks, you’re suddenly back to square one. Your tests take minutes to execute. Your tests fail without an internet connection. Your tests rely on some 3rd party service being up. Your tests suck. Who wants to code when running ~5 tests takes 3 minutes? Nobody. Enter puffing-billy, stage right The problem is that neither Webmock nor VCR can handle requests originating in a browser because they happen in a different thread and they can’t mess around with those. Luckily, a year ago Olly Smith, created puffing-billy. The idea was great – spin up a web proxy, tell your headless browser to use it, when your code makes a request it will go through the proxy, which will try to use a Webmock to handle it, otherwise pass it on to the vast internet. But who wants to mock everything out manually? Over the past few weeks I set upon the task of fixing this problem and restoring sanity to my life. Good tests are transparent to the application and I’ll be damned if I use any of the suggested solutions on the internet like “Well you just put a switch in your code that knows if you’re in a test and then doesn’t talk to Stripe” Screw that. This morning I submitted a pull request to puffing-billy. I added the ability for puffing-billy to behave like it was VCR, but for your browser. When a request is made, it gets cached. The cache is then persisted between sessions, and requests are played back to the browser as needed. It’s not as sophisticated as VCR just yet, but it gets the job done and my test runtime has gone from 3 minutes to just under a minute. That’s a big deal in my book! The caching even understands that some URL’s are needlessly different on every request (social buttons, analytics etc.) so you can configure it to normalize those requests to a single recording that is played back every time. Your tests don’t really rely on gAnalytics working right? And the best thing is, you don’t even have to change your tests. You add something like this in your spec_helper.rb: Billy.configure do |c| c.cache = true c.ignore_params = ["http://www.google-analytics.com/__utm.gif", "http://b.siftscience.com/i.gif", "https://r.twimg.com/jot", "http://p.twitter.com/t.gif", "http://p.twitter.com/f.gif", "http://www.facebook.com/plugins/like.php", "https://www.facebook.com/dialog/oauth", "http://cdn.api.twitter.com/1/urls/count.json"] c.persist_cache = true c.cache_path = 'spec/req_cache/' end # need to call this because of a race condition between persist_cache # being set and the proxy being loaded for the first time Billy.proxy.restore_cache Capybara.javascript_driver = :poltergeist_billy A test for the payment form looks the same as usual: scenario "physical product" do product = start_buying build(:product, :physical, user: @seller, active: true) VCR.use_cassette('Balanced/purchase_with_cc') do within '#new_order' do fill_in 'order_email', with: Faker::Internet.safe_email fill_in_address fill_in_card click_on 'Buy Now' end page.should have_css('#receipt', :visible => true) end validate_receipt product, @seller end Puffing-billy will transparently cache every requests the browser makes and VCR records any requests made by your backend logic. It’s pretty sweet. What do you guys think? I only have 20 days of Ruby experience and the internet has told me it really wants something like this, but I couldn’t find anyone who’s already made it.
March 15, 2013
by Swizec Teller
· 8,196 Views
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Dependency Injection with Test Driven Development
With unit tests you can check that your code behaviours just as you expect it to. When writing your unit tests you shouldn't need to worry about if any other area of the application is working correctly. The benefits of unit testing are: Decouples your code Write more modular classes Functions are smaller and more focused Your functions are more defensive Quality of code becomes higher You will find it easier to reuse code. When writing unit tests you just need to test this one method of your application, if your method relies on another class/variable there should be a way you can inject this into the method. This is where dependency injection in your code comes in handy, it will allow you to inject objects into your classes to change the output of the class. There are a few things you need to do to make a method unit testable, methods will need an input from a parameter or a class variable and it will need a return or set a class variable in the method. If the method hasn't got these things then the method can not be unit testable. If there isn't a return of the method then there is no way in knowing how the method performs. Dependency Injection Dependency injection is when your object has a dependency on another object. The simplest form to understand what dependency injection is to think of a setter method. A setter method will take one parameter and set a class variable from this parameter. This is using code injection to pass in a parameter to be used as the class variable value. public function setValue( $val ) { $this->val = $val; } Without dependency injection this method will look like this. public function setValue() { $this->val = 10; } For unit testing you need to be aware of any classes that your class is dependent on. For example if you have a login class that will connect to a database. class login { private $db = false; public function __construct() { $this->db = new Database(); } public function loginUser( $user, $password ) { $this->db->checkLogin( $user, $password ); } } This login class has a dependency of the class Database in the constructor, which means that we can't unit test this correctly. If we want to unit test this then the database class has to be development and tested. If the database class is broken and we try to unit test the loginUser() method the test will always fail and we won't know that it's the database class which is broke or the loginUser() method that is broke. If the database class is finished development, tested and data is in the database then we can use this for the loginUser() function. But now our tests are dependent on data being correct in the database. If we pass in a username and password it must be in the database for our test to pass. Our code could be correct but if the data isn't there then our unit tests will fail. This isn't correct use of unit tests and is more suited to be an integration test. To fix this problem we can use dependency injection to pass in a database connector which will set the database class variable. There are 2 ways we can inject a variable into a class, it can either be in the constructor of the class or by using a setter method. I tend to use constructor for all required dependences and use the setter method if there is a default value for the class variable. class login { private $db = false; public function __construct( $db ) { $this->db = $db; } public function loginUser( $user, $password ) { $this->db->checkLogin( $user, $password ); } } Now this class isn't dependant on a certain database class we can pass in the database class by using the parameter on the login class constructor. We can unit test this loginUser() method by first setting the $this->db class variable. We don't want to rely on a real database as the data can change so we can either create a test harness database class or you can mock the database class. A test harness class will allow you to create your database class and hardcode any data that you need. In the example above we can create a method checkLogin(), in our test harness we can then hardcode a successful login username and password to make the loginUser() method pass. Or you can use a PHP mocking framework to mock a class/method/return value. Both methods have their benefits but mocking is normally quicker to code, but there are times when you want to hardcode certain variables in a class. Mocking Objects In TDD With PHP Mocking objects in test driven development allows you create objects to act as a certain class, if your test depends on another method to return a value, you can mock this method and make it return any value you want. In the example we used above you can mock the database class and choose what value we are expecting back from the checkLogin() method. When mocking a method you can choose what you want to return from this method, therefore we can write tests to see what will happen when checkLogin() returns TRUE and then we can write another test to see what happens when checkLogin() returns FALSE. Mocking objects means that you can run your unit tests without depending on another class returning the values you are expecting, ao you can test just your code in this one method. Here are some of the most popular PHP mocking frameworks: Mocking with PHPUnit - http://www.phpunit.de/manual/3.0/en/mock-objects.html Mocking with Phake - http://phake.digitalsandwich.com/docs/html/ Mocking with Mockery - https://github.com/padraic/mockery Mocking with Enchane PHP - https://github.com/Enhance-PHP/Enhance-PHP Mocking with FBMock - https://github.com/facebook/FBMock Dependency Injection With Interfaces If we are going to pass in a database connector in a constructor of the login class, then this database connector will always have to have a method of checkLogin(). This is why we should code our dependences by using interfaces to make sure that we are always passing in the correct type of class. class login { private $db = false; public function __construct( IDatabase $db ) { $this->db = $db; } } class database implements IDatabase { public function checkLogin( $username, $password ) { // check the login credentials } } interface IDatabase { public function checkLogin( $username, $password ); } This will make sure that the class we pass into the constructor is a type of IDatabase, so if our database class doesn't implement IDatabase then the code will fail and therefore our unit tests will fail. This means whatever we pass into the constructor we know that this class will be able to run the methods it needs for the unit tests to run.
March 14, 2013
by Paul Underwood
· 9,142 Views · 2 Likes
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Mocking Internal Interfaces with Moq
When creating some Class Library you should pay attention to the visibility of its members and have a clear vision of what you’d like to expose to its users and what on the other side should be hidden. When writing unit tests against such assemblies however, you obviously want to test everything, from the internal members to the externally exposes parts. Assume you have a class library named Base containing the following classes and interfaces ICommandHandler - which is a publicly exposed interface CommandHandler - basically its concrete implementation IUndoRedoStack - an interface that is used only internally UndoRedoStack - its concrete implementation Note that I’m programming exclusively against interaces as that’s a major requirement for being able to create the necessary isolation for testing each component on its own. Testing Classes with Internal Visibility Lets take a closer look at the CommandHandler class class CommandHandler : ICommandHandler { //... } When creating a test for the CommandHandler class you would proceed as follows [TestClass] public class CommandHandlerTest { private CommandHandler commandHandler; [TestInitialize] public void Setup() { commandHandler = new CommandHandler(); } [TestCleanup] public void Teardown() { commandHandler = null; } [TestMethod] publiic void ShouldExecuteAGivenCommand() { //the test content } } When you execute such test, it won’t compile however. A best practice is to place the tests in a separate DLL (I usually name it like Base.UnitTests if the tested assembly is called Base) and as such, CommandHandler won’t be visible as it has been defined to only have internal visibility. In a previous blog post I already explained on how to overcome this issue, namely by specifying the InternalsVisibleTo attribute in the tested assembly. Check out that blog post for more details. Mocking Interfaces with Internal Visibility using Moq Now, CommandHandler has a dependency on IUndoRedoStack class CommandHandler : ICommandHandler { public CommandHandler(IUndoRedoStack undoRedoStack) { //... } } The CommandHandler has an Execute(command) method and suppose we’d like to test the fact that when calling it with a given ICommand object, that specific object gets added to the undoRedoStack. We would write [TestInitialize] public void Setup() { mockUndoRedo = new Mock
March 14, 2013
by Juri Strumpflohner
· 9,284 Views
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Contributing to Paratest
I've already written about my experiments with Paratest. Paratest is a PHPUnit wrapper that allows you to run tests written for PHPUnit in parallel, making us of multiple processes running on the same machine. In a world where cycle time is an important metric, trading resources to get the test suite to finish earlier is a net gain; especially when you're stepping on unstable stones and run the suite very often. Rationale Our clock speeds aren't going to increase anymore; you should already know that the direction in which the CPU architectures are heading is to provide multiple cores instead. A PHPUnit process executed serially can get to 100% CPU, while executing two processes can theoretically double your performance, in essence halving the time taken for running your test suite. Moreover, while unit tests do not touch external resources, integration and end-to-end ones are relying on the response time of a database, network calls (even towards the same machine), files to be written, and so on. This means the CPU is not being fully utilized, because a percentage of the time is spent waiting for these resources to become available or to respond. The presence of an high iowait makes room for a number of processes greater than the number of cores available. In some cases, the resources you are using do not depend on the local machine, but are provided remotely in unlimited number. Facebook runs tests in parallel on multiple machines, but for an example available to any wallet check out SauceLabs: providing to you many different Selenium Servers from their cloud, so that you can run tests on N different browser instances at the same time. The thing you have to keep in mind is that tests must be totally independent from each other to be executed. Clearing the whole database before a test or counting the rows of an entire table aren't a suitable option when parallelizing, as tests would interfere with each other. Recent contributions Paratest delegates to a Runner object the execution of a test suite, and collects log files to aggregate the results into a single count of passed and failed tests (among with other statistics such as assertions, errors and time). The default runner creates a new php process for each test class (or even test method with the --functional configuration). This is fine for large scale tests that take in the order of tens of seconds to be run, but there is indeed a slow down with unit tests. This decrease in performance is noticeable whenever there is a sizeable PHPUnit bootstrap file, which is executed again for each of the tests. For this reason, I contributed a new Runner, named WrapperRunner. This Runner executes only a fixed number of processes (which I called Workers, with common terminology) and that take PHPUnit commands on their standard input: $ bin/phpunit-wrapper phpunit tests/MyTest.php ... phpunit tests/OtherTest.php ... Since the bootstrap file is require_once()d into the process, it is only executed once for each Worker, so if you have 1000 tests executed in 5 processes it will be executed 5 times instead of 1000. The tests are capable of reusing the same bootstrap because they previously ran serially after a single execution of it: if they are capable of running in parallel at all, they should share the bootstrap flawlessly. I will probably use Gearman in the future to manage workers as Behat does, but for now this is a very easy-to-install solution: only PHP code. With this contribution, Paratest gets back to a comparable time to PHPUnit for unit tests, while before it was doubling the (short) time required. The more cores we get, the more this time could go down. The WrapperRunner is currently an open PR. Another contribution from Dimitris Baltas and that I ported also to the new WrapperRunner regards providing an environment variable named TEST_TOKEN. If tests are using a shared resource such as a database table, they cannot easily run in parallel if they are working on the same data or reading globally, for example counting the documents in a Mongo collection The TEST_TOKEN shuld be used to map each process to a different instance of the shared resource: for example, a set of schemas database1, database2, ..., database5. The token is guaranteed to be given to a single test at any time in both Runners. This pull request is open too and will be merged into Paratest soon.
March 4, 2013
by Giorgio Sironi
· 6,393 Views
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JUnit testing of Spring MVC application: Testing the Service Layer
In continuation of my earlier blogs on Introduction to Spring MVC and Testing DAO layer in Spring MVC, in this blog I will demonstrate how to test Service layer in Spring MVC. The objective of this demo is 2 fold, to build the Service layer using TDD and increase the code coverage during JUnit testing of Service layer. For people in hurry, get the latest code from Github and run the below command mvn clean test -Dtest=com.example.bookstore.service.AccountServiceTest Since in my earlier blog, we have already tested the DAO layer, in this blog we only need to focus on testing service layer. We need to mock the DAO layer so that we can control the behavior in Service layer and cover various scenarios. Mockito is a good framework which is used to mock a method and return known data and assert that in the JUnit. As a first step we define the AccountServiceTestContextConfiguration class with AccountServiceTest class. If you notice there are 2 beans defined in that class and we marked the as a @Configuration which shows that it is a Spring Context class. In the JUnit test we @Autowired AccountService class. And AccountServiceImpl @Autowired the AccountRepository class. When creating the Bean in the configuration file we also stubbed the AccountRepository class using Mockito, @RunWith(SpringJUnit4ClassRunner.class) @ContextConfiguration public class AccountServiceTest { @Configuration static class AccountServiceTestContextConfiguration { @Bean public AccountService accountService() { return new AccountServiceImpl(); } @Bean public AccountRepository accountRepository() { return Mockito.mock(AccountRepository.class); } } //We Autowired the AccountService bean so that it is injected from the configuration @Autowired private AccountService accountService; @Autowired private AccountRepository accountRepository; During the setup of the JUnit we use Mockito mock findByUsername method to return a predefined account object as below @Before public void setup() { Account account = new AccountBuilder() { { address("Herve", "4650", "Rue de la gare", "1", null, "Belgium"); credentials("john", "secret"); name("John", "Doe"); } }.build(true); Mockito.when(accountRepository.findByUsername("john")).thenReturn(account); } Now we write the tests as below and test both the positive and negative scenarios, @Test(expected = AuthenticationException.class) public void testLoginFailure() throws AuthenticationException { accountService.login("john", "fail"); } @Test() public void testLoginSuccess() throws AuthenticationException { Account account = accountService.login("john", "secret"); assertEquals("John", account.getFirstName()); assertEquals("Doe", account.getLastName()); } } Finally we verify if the findByUsername method is called only once successfully as below in the teardown, @After public void verify() { Mockito.verify(accountRepository, VerificationModeFactory.times(1)).findByUsername(Mockito.anyString()); // This is allowed here: using container injected mocks Mockito.reset(accountRepository); } AccountService class looks as below, @Service @Transactional(readOnly = true) public class AccountServiceImpl implements AccountService { @Autowired private AccountRepository accountRepository; @Override public Account login(String username, String password) throws AuthenticationException { Account account = this.accountRepository.findByUsername(username, password); } else { throw new AuthenticationException("Wrong username/password", "invalid.username"); } return account; } } I hope this blog helped you. In my next blog, I will demo how to build a controller JUnit test. Reference: Pro Spring MVC: With Web Flow by by Marten Deinum, Koen Serneels
March 3, 2013
by Krishna Prasad
· 81,713 Views · 3 Likes
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JUnit testing of Spring MVC application: Testing DAO layer
In continuation of my blog JUnit testing of Spring MVC application – Introduction, in this blog, I will show how to design and implement DAO layer for the Bookstore Spring MVC web application using Test Driven development. For people in hurry, get the latest code from Github and run the below command mvn clean test -Dtest=com.example.bookstore.repository.JpaBookRepositoryTest As a part of TDD, Write a basic CRUD (create, read, update, delete) operations on a Book DAO class com.example.bookstore.repository.JpaBookRepository. Don’t have the database wiring yet in this DAO class. Once we build the JUnit tests, we use JPA as a persistence layer. We also use H2 as a inmemory database for testing purpose. Create Book POJO class Create the JUnit test as below, public class JpaBookRepositoryTest { @Test public void testFindById() { Book book = bookRepository.findById(this.book.getId()); assertEquals(this.book.getAuthor(), book.getAuthor()); assertEquals(this.book.getDescription(), book.getDescription()); assertEquals(this.book.getIsbn(), book.getIsbn()); } @Test public void testFindByCategory() { List books = bookRepository.findByCategory(category); assertEquals(1, books.size()); for (Book book : books) { assertEquals(this.book.getCategory().getId(), category.getId()); assertEquals(this.book.getAuthor(), book.getAuthor()); assertEquals(this.book.getDescription(), book.getDescription()); assertEquals(this.book.getIsbn(), book.getIsbn()); } } @Test @Rollback(true) public void testStoreBook() { Book book = new BookBuilder() { { description("Something"); author("JohnDoe"); title("John Doe's life"); isbn("1234567890123"); category(category); } }.build(); bookRepository.storeBook(book); Book book1 = bookRepository.findById(book.getId()); assertEquals(book1.getAuthor(), book.getAuthor()); assertEquals(book1.getDescription(), book.getDescription()); assertEquals(book1.getIsbn(), book.getIsbn()); } } If you notice since the JpaBookRepository is only a skeleton class without implementation, all the tests will fail. As a next step, we need to create a Configuration and wire a datasource, and for the test purpose we will be using H2 database. And we also need to wire this back to JUnit test as below, @Configuration public class InfrastructureContextConfiguration { @Autowired private DataSource dataSource; //some more configurations.. @Bean public DataSource dataSource() { EmbeddedDatabaseBuilder builder = new EmbeddedDatabaseBuilder(); builder.setType(EmbeddedDatabaseType.H2); return builder.build(); } } //JUnit test wiring is as below @RunWith(SpringJUnit4ClassRunner.class) @ContextConfiguration(classes = { InfrastructureContextConfiguration.class, TestDataContextConfiguration.class }) @Transactional public class JpaBookRepositoryTest { //the test methods } Next step is to setup and teardown sample data in the JUnit test case as below, public class JpaBookRepositoryTest { @PersistenceContext private EntityManager entityManager; private Book book; private Category category; @Before public void setupData() { EntityBuilderManager.setEntityManager(entityManager); category = new CategoryBuilder() { { name("Evolution"); } }.build(); book = new BookBuilder() { { description("Richard Dawkins' brilliant reformulation of the theory of natural selection"); author("Richard Dawkins"); title("The Selfish Gene: 30th Anniversary Edition"); isbn("9780199291151"); category(category); } }.build(); } @After public void tearDown() { EntityBuilderManager.clearEntityManager(); } } Once we do the wiring, we need to implement the com.example.bookstore.repository.JpaBookRepository and use JPA to do the CRUD on the database and run the tests. The tests will succeed. Finally if you run Cobertura for this example from STS, we will get over 90% of line coverage for com.example.bookstore.repository.JpaBookRepository. In case you want to try few exercises you can implement repository for Account and User. I hope this blog helped you. In my next blog I will talk about Mochito and Implementing the Service layer.
March 1, 2013
by Krishna Prasad
· 80,343 Views
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Spring-Test-MVC Junit Testing Spring Security Layer with Method Level Security
For people in hurry get the code from Github. In continuation of my earlier blog on spring-test-mvc junit testing Spring Security layer with InMemoryDaoImpl, in this blog I will discuss how to use achieve method level access control. Please follow the steps in this blog to setup spring-test-mvc and run the below test case. mvn test -Dtest=com.example.springsecurity.web.controllers.SecurityControllerTest The JUnit test case looks as below, @RunWith(SpringJUnit4ClassRunner.class) @ContextConfiguration(loader = WebContextLoader.class, value = { "classpath:/META-INF/spring/services.xml", "classpath:/META-INF/spring/security.xml", "classpath:/META-INF/spring/mvc-config.xml" }) public class SecurityControllerTest { @Autowired CalendarService calendarService; @Test public void testMyEvents() throws Exception { Authentication auth = new UsernamePasswordAuthenticationToken("[email protected]", "user1"); SecurityContext securityContext = SecurityContextHolder.getContext(); securityContext.setAuthentication(auth); calendarService.findForUser(0); SecurityContextHolder.clearContext(); } @Test(expected = AuthenticationCredentialsNotFoundException.class) public void testForbiddenEvents() throws Exception { calendarService.findForUser(0); } } @Test(expected=AccessDeniedException.class) public void testWrongUserEvents() throws Exception { Authentication auth = new UsernamePasswordAuthenticationToken("[email protected]", "user2"); SecurityContext securityContext = SecurityContextHolder.getContext(); securityContext.setAuthentication(auth); calendarService.findForUser(0); SecurityContextHolder.clearContext(); } If you notice, if the user did not login or if the user is trying to access another users information it will throw an exception. The interface access control is as below, public interface CalendarService { @PreAuthorize("hasRole('ROLE_ADMIN') or principal.id == #userId") List findForUser(int userId); } The PreAuthorize only works on interface so that any implementation that implements this interface has this access control. I hope this blog helps you.
February 21, 2013
by Krishna Prasad
· 23,637 Views
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The Reality of a Developer's Life — In GIFs, of Course
Want to check out what life is like as a developer? Check out this post for a series of GIFs demonstrating the dev life.
February 15, 2013
by Alex Soto
· 500,937 Views · 17 Likes
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Synchronising Multithreaded Integration Tests
Testing threads is hard, very hard and this makes writing good integration tests for multithreaded systems under test... hard. This is because in JUnit there's no built in synchronisation between the test code, the object under test and any threads. This means that problems usually arise when you have to write a test for a method that creates and runs a thread. One of the most common scenarios in this domain is in making a call to a method under test, which starts a new thread running before returning. At some point in the future when the thread's job is done you need assert that everything went well. Examples of this scenario could include asynchronously reading data from a socket or carrying out a long and complex set of operations on a database. For example, the ThreadWrapper class below contains a single public method: doWork(). Calling doWork() sets the ball rolling and at some point in the future, at the discretion of the JVM, a thread runs adding data to a database. public class ThreadWrapper { /** * Start the thread running so that it does some work. */ public void doWork() { Thread thread = new Thread() { /** * Run method adding data to a fictitious database */ @Override public void run() { System.out.println("Start of the thread"); addDataToDB(); System.out.println("End of the thread method"); } private void addDataToDB() { // Dummy Code... try { Thread.sleep(4000); } catch (InterruptedException e) { e.printStackTrace(); } } }; thread.start(); System.out.println("Off and running..."); } } A straightforward test for this code would be to call the doWork() method and then check the database for the result. The problem is that, owing to the use of a thread, there's no co-ordination between the object under test, the test and the thread. A common way of achieving some co-ordination when writing this kind of test is to put some kind of delay in between the call to the method under test and checking the results in the database as demonstrated below: public class ThreadWrapperTest { @Test public void testDoWork() throws InterruptedException { ThreadWrapper instance = new ThreadWrapper(); instance.doWork(); Thread.sleep(10000); boolean result = getResultFromDatabase(); assertTrue(result); } /** * Dummy database method - just return true */ private boolean getResultFromDatabase() { return true; } } In the code above there is a simple Thread.sleep(10000) between two method calls. This technique has the benefit of being incredabile simple; however it's also very risky. This is because it introduces a race condition between the test and the worker thread as the JVM makes no guarantees about when threads will run. Often it'll work on a developer's machine only to fail consistently on the build machine. Even if it does work on the build machine it atificially lengthens the duration of the test; remember that quick builds are important. The only sure way of getting this right is to synchronise the two different threads and one technique for doing this is to inject a simple CountDownLatch into the instance under test. In the example below I've modified the ThreadWrapper class's doWork() method adding the CountDownLatch as an argument. public class ThreadWrapper { /** * Start the thread running so that it does some work. */ public void doWork(final CountDownLatch latch) { Thread thread = new Thread() { /** * Run method adding data to a fictitious database */ @Override public void run() { System.out.println("Start of the thread"); addDataToDB(); System.out.println("End of the thread method"); countDown(); } private void addDataToDB() { try { Thread.sleep(4000); } catch (InterruptedException e) { e.printStackTrace(); } } private void countDown() { if (isNotNull(latch)) { latch.countDown(); } } private boolean isNotNull(Object obj) { return latch != null; } }; thread.start(); System.out.println("Off and running..."); } } he Javadoc API describes a count down latch as: A synchronization aid that allows one or more threads to wait until a set of operations being performed in other threads completes. A CountDownLatch is initialized with a given count. The await methods block until the current count reaches zero due to invocations of the countDown() method, after which all waiting threads are released and any subsequent invocations of await return immediately. This is a one-shot phenomenon -- the count cannot be reset. If you need a version that resets the count, consider using a CyclicBarrier. A CountDownLatch is a versatile synchronization tool and can be used for a number of purposes. A CountDownLatch initialized with a count of one serves as a simple on/off latch, or gate: all threads invoking await wait at the gate until it is opened by a thread invoking countDown(). A CountDownLatchinitialized to N can be used to make one thread wait until N threads have completed some action, or some action has been completed N times. A useful property of a CountDownLatch is that it doesn't require that threads calling countDown wait for the count to reach zero before proceeding, it simply prevents any thread from proceeding past an await until all threads could pass. The idea here is that the test code will never check the database for the results until the run() method of the worker thread has called latch.countdown(). This is because the test code thread is blocking at the call to latch.await(). latch.countdown() decrements latch's count and once this is zero the blocking call the latch.await() returns and the test code continues executing, safe in the knowledge that any results which should be in the database, are in the database. The test can then retrieve these results and make a valid assertion. Obviously, the code above merely fakes the database connection and operations. The thing is you may not want to, or need to, inject a CountDownLatch directly into your code; after all it's not used in production and it doesn't look particularly clean or elegant. One quick way around this is to simply make the doWork(CountDownLatch latch) method package private and expose it through a public doWork() method. public class ThreadWrapper { /** * Start the thread running so that it does some work. */ public void doWork() { doWork(null); } @VisibleForTesting void doWork(final CountDownLatch latch) { Thread thread = new Thread() { /** * Run method adding data to a fictitious database */ @Override public void run() { System.out.println("Start of the thread"); addDataToDB(); System.out.println("End of the thread method"); countDown(); } private void addDataToDB() { try { Thread.sleep(4000); } catch (InterruptedException e) { e.printStackTrace(); } } private void countDown() { if (isNotNull(latch)) { latch.countDown(); } } private boolean isNotNull(Object obj) { return latch != null; } }; thread.start(); System.out.println("Off and running..."); } } The code above uses Google's Guava @VisibleForTesting annotation to tell us that the doWork(CountDownLatch latch) method visibility has been relaxed slightly for testing purposes. Now I realise that making a method call package private for testing purposes in highly controversial; some people hate the idea, whilst others include it everywhere. I could write a whole blog on this subject (and may do one day), but for me it should be used judiciously, when there's no other choice, for example when you're writing characterisation tests for legacy code. If possible it should be avoided, but never ruled out. After all tested code is better than untested code. With this in mind the next iteration of ThreadWrapper designs out the need for a method marked as @VisibleForTesting together with the need to inject a CountDownLatch into your production code. The idea here is to use the Strategy Pattern and separate the Runnable implementation from the Thread. Hence, we have a very simple ThreadWrapper public class ThreadWrapper { /** * Start the thread running so that it does some work. */ public void doWork(Runnable job) { Thread thread = new Thread(job); thread.start(); System.out.println("Off and running..."); } } and a separate job: public class DatabaseJob implements Runnable { /** * Run method adding data to a fictitious database */ @Override public void run() { System.out.println("Start of the thread"); addDataToDB(); System.out.println("End of the thread method"); } private void addDataToDB() { try { Thread.sleep(4000); } catch (InterruptedException e) { e.printStackTrace(); } } } You'll notice that the DatabaseJob class doesn't use a CountDownLatch. How is it synchronised? The answer lies in the test code below... public class ThreadWrapperTest { @Test public void testDoWork() throws InterruptedException { ThreadWrapper instance = new ThreadWrapper(); CountDownLatch latch = new CountDownLatch(1); DatabaseJobTester tester = new DatabaseJobTester(latch); instance.doWork(tester); latch.await(); boolean result = getResultFromDatabase(); assertTrue(result); } /** * Dummy database method - just return true */ private boolean getResultFromDatabase() { return true; } private class DatabaseJobTester extends DatabaseJob { private final CountDownLatch latch; public DatabaseJobTester(CountDownLatch latch) { super(); this.latch = latch; } @Override public void run() { super.run(); latch.countDown(); } } } The test code above contains an inner class DatabaseJobTester, which extends DatabaseJob. In this class the run() method has been overridden to include a call to latch.countDown() after our fake database has been updated via the call to super.run(). This works because the test passes a DatabaseJobTester instance to the doWork(Runnable job) method adding in the required thread testing capability. The idea of sub-classing objects under test is something I've mentioned before in one of my blogs on testing techniques and is a really powerful technique. So, to conclude: Testing threads is hard. Testing anonymous inner classes is almost impossible. Using Thead.sleep(...) is a risky idea and should be avoided. You can refactor out these problems using the Strategy Pattern. Programming is the Art of Making the Right Decision ...and that relaxing a method's visibility for testing may or may not be a good idea, but more on that later... The code above is available on Github in the captain debug repository (git://github.com/roghughe/captaindebug.git) under the unit-testing-threads project.
February 13, 2013
by Roger Hughes
· 14,081 Views · 12 Likes
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Camel: Working with Email Attachments
If you're using the Camel-Mail component to handle some business logic that involves receiving email that contains attachments, then you might be interested in how these email attachments can be split into separate messages so they can be processed individually. This post will demonstrate how this can be done using a Camel Expression and a JUnit test that demonstrates this behavior. Recently, Claus Isben, an Apache Camel committer added some new documentation on the Apache Camel Mail component page that creates an Expression to split each attachment in an exchange into a separate message. In addition he has included this code in Camel 2.10 and it is available as org.apache.camel.component.mail.SplitAttachmentExpression. This class is using the ExpressionAdapter class which in Camel 2.9 is available as org.apache.camel.support.ExpressionAdpater and for Camel 2.8 and earlier is available as org.apache.camel.impl.ExpressionAdapter. Let's have a look at the SplitAttachmentExpression: /** * Licensed to the Apache Software Foundation (ASF) under one or more * contributor license agreements. See the NOTICE file distributed with * this work for additional information regarding copyright ownership. * The ASF licenses this file to You under the Apache License, Version 2.0 * (the "License"); you may not use this file except in compliance with * the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package org.apache.camel.component.mail; import java.util.ArrayList; import java.util.List; import java.util.Map; import javax.activation.DataHandler; import org.apache.camel.Exchange; import org.apache.camel.Message; import org.apache.camel.support.ExpressionAdapter; /** * A {@link org.apache.camel.Expression} which can be used to split a {@link MailMessage} * per attachment. For example if a mail message has 5 attachments, then this * expression will return a List that contains 5 {@link Message} * and each have a single attachment from the source {@link MailMessage}. */ public class SplitAttachmentsExpression extends ExpressionAdapter { @Override public Object evaluate(Exchange exchange) { // must use getAttachments to ensure attachments is initial populated if (exchange.getIn().getAttachments().isEmpty()) { return null; } // we want to provide a list of messages with 1 attachment per mail List answer = new ArrayList(); for (Map.Entry entry : exchange.getIn().getAttachments().entrySet()) { final Message copy = exchange.getIn().copy(); copy.getAttachments().clear(); copy.getAttachments().put(entry.getKey(), entry.getValue()); answer.add(copy); } return answer; } } From the above code you can see the Expression splits the exchange into separate messages, each containing one attachment, stored in a List object which is then returned to the Camel runtime which can then be used to iterate through the messages. For more information on how the splitter EIP works see the Camel Splitter EIP documentation. Now we can test this Expression by using the following JUnit test case and verify that the attachments are indeed split into separate messages for processing: /** * Licensed to the Apache Software Foundation (ASF) under one or more * contributor license agreements. See the NOTICE file distributed with * this work for additional information regarding copyright ownership. * The ASF licenses this file to You under the Apache License, Version 2.0 * (the "License"); you may not use this file except in compliance with * the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package com.fusesource.example; import com.fusesource.example.expression.AttachmentsExpression; import com.fusesource.example.processor.MyMailProcessor; import org.apache.camel.Endpoint; import org.apache.camel.Exchange; import org.apache.camel.Message; import org.apache.camel.Producer; import org.apache.camel.builder.RouteBuilder; import org.apache.camel.component.mock.MockEndpoint; import org.apache.camel.test.junit4.CamelTestSupport; import org.junit.Test; import org.jvnet.mock_javamail.Mailbox; import javax.activation.DataHandler; import javax.activation.FileDataSource; import java.util.Map; /** * Unit test for Camel attachments and Mail attachments. */ public class MailAttachmentTest extends CamelTestSupport { private String subject = "Test Camel Mail Route"; @Test public void testSendAndReceiveMailWithAttachments() throws Exception { // clear mailbox Mailbox.clearAll(); // create an exchange with a normal body and attachment to be produced as email Endpoint endpoint = context.getEndpoint("smtp://[email protected]?password=secret"); // create the exchange with the mail message that is multipart with a file and a Hello World text/plain message. Exchange exchange = endpoint.createExchange(); Message in = exchange.getIn(); in.setBody("Hello World"); in.addAttachment("message1.xml", new DataHandler(new FileDataSource("src/data/message1.xml"))); in.addAttachment("message2.xml", new DataHandler(new FileDataSource("src/data/message2.xml"))); // create a producer that can produce the exchange (= send the mail) Producer producer = endpoint.createProducer(); // start the producer producer.start(); // and let it go (processes the exchange by sending the email) producer.process(exchange); // need some time for the mail to arrive on the inbox (consumed and sent to the mock) Thread.sleep(5000); // verify destination1 MockEndpoint destination1 = getMockEndpoint("mock:destination1"); destination1.expectedMessageCount(1); Exchange destination1Exchange = destination1.assertExchangeReceived(0); destination1.assertIsSatisfied(); // plain text assertEquals("Hello World", destination1Exchange.getIn().getBody(String.class)); // attachment Map destination1Attachments = destination1Exchange.getIn().getAttachments(); assertEquals(1, destination1Attachments.size()); DataHandler d1Attachment = destination1Attachments.get("message1.xml"); assertNotNull("The message1.xml should be there", d1Attachment); assertEquals("application/octet-stream; name=message1.xml", d1Attachment.getContentType()); assertEquals("Handler name should be the file name", "message1.xml", d1Attachment.getName()); // verify destination2 MockEndpoint destination2 = getMockEndpoint("mock:destination2"); destination2.expectedMessageCount(1); Exchange destination2Exchange = destination2.assertExchangeReceived(0); destination2.assertIsSatisfied(); // plain text assertEquals("Hello World", destination2Exchange.getIn().getBody(String.class)); // attachment Map destination2Attachments = destination2Exchange.getIn().getAttachments(); assertEquals(1, destination2Attachments.size()); DataHandler d2Attachment = destination2Attachments.get("message2.xml"); assertNotNull("The message2.xml should be there", d2Attachment); assertEquals("application/octet-stream; name=message2.xml", d2Attachment.getContentType()); assertEquals("Handler name should be the file name", "message2.xml", d2Attachment.getName()); producer.stop(); } protected RouteBuilder createRouteBuilder() throws Exception { return new RouteBuilder() { public void configure() throws Exception { context().setStreamCaching(true); from("pop3://[email protected]?password=secret&consumer.delay=1000") .setHeader("subject", constant(subject)) .split(new AttachmentsExpression()) .process(new MyMailProcessor()) .choice() .when(header("attachmentName").isEqualTo("message1.xml")) .to("mock:destination1") .otherwise() .to("mock:destination2") .end(); } }; } } In the route you can see the spilt is using the AttachmentsExpression which was shown above. In addition, I am using a simple processor to set the header of the exchange which contains the name of the attachment. Then, using the CBR (content base router) the exchange will be routed to an endpoint based on the attached file. The test case uses two mock endpoints which are used to validate the body of the message, number of attachments, attachment name, and attachment type. The following code was used in the MyMailProcessor to set the header: package com.fusesource.example.processor; import org.apache.camel.Exchange; import org.apache.camel.Processor; import org.apache.log4j.Logger; import javax.activation.DataHandler; import java.util.Map; /** * Created by IntelliJ IDEA. * User: jsherman * Date: 4/9/12 * Time: 11:39 AM * To change this template use File | Settings | File Templates. */ public class MyMailProcessor implements Processor { private static final Logger LOG = Logger .getLogger(MyMailProcessor.class.getName()); public void process(Exchange exchange) throws Exception { LOG.debug("MyMailProcessor..."); String body = exchange.getIn().getBody(String.class); Map attachments = exchange.getIn().getAttachments(); if (attachments.size() > 0) { for (String name : attachments.keySet()) { exchange.getOut().setHeader("attachmentName", name); } } // read the attachments from the in exchange putting them back on the out exchange.getOut().setAttachments(attachments); // resetting the body on out exchange exchange.getOut().setBody(body); LOG.debug("MyMailProcessor complete"); } } Setting a up new maven project to test this out for yourself is very easy. Simply create a new maven project using one of the available Camel maven archetypes, the camel-archetype-java should work just fine for this. Once you have the project created you just need to copy the above classes into the project. In addition to setting up the code you will also need to ensure the following dependencies are included in the project's pom.xml: 2.9.0 ... org.apache.camel camel-mail ${camel-version} org.apache.camel camel-test test ${camel-version} org.jvnet.mock-javamail mock-javamail 1.7 javax.mail mail test Note for the above test case I had my own class that implemented the SplitAttachmentExpression, as I was doing this before the class was added into the code base. If you are using the latest 2.10 the SplitAttachmentExpression import should be changed to org.apache.camel.component.mail.SplitAttachmentExpression. If you are using an earlier version, simply create the class as I did using the code from above.
February 11, 2013
by Jason Sherman
· 33,128 Views
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