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  • Android Unit Testing - Resolution & Verification Problems

    - by Bill
    I just switched the way my Android project is being built and non of my unit tests work any more...I get errors like WARN/dalvikvm(575): VFY: unable to resolve static field X in ..... WARN/dalvikvm(575): VFY: unable to find class referenced in signature These errors only come from my Unit Tests, where classes defined in it can't even see other classes defined in the unit test. Before each project had its own directory with copies of the 3rd party jar files. I've read around that Dex does weird things with references but haven't been able to figure out how to fix this problem. Is there a better way to do this? I would love to see an example of a large Android workspace where there are multiple projects, jar references, etc... Is it possible to fix this with an Order/Export tweak ? The project is structured like this: Eclipse Workspace (PROJECT_HOME classpath variable) lib 3rd-party jars android.jar Java Project A Looks in PROJECT_HOME Java Project B Looks in PROJECT_HOME Depends on project A Android Project Depends on A & B Looks in PROJECT_HOME Android Test Project Depends on A , B, Android Project Looks in PROJECT_HOME

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  • Unit Testing Interfaces in Python

    - by Nicholas Mancuso
    I am currently learning python in preperation for a class over the summer and have gotten started by implementing different types of heaps and priority based data structures. I began to write a unit test suite for the project but ran into difficulties into creating a generic unit test that only tests the interface and is oblivious of the actual implementation. I am wondering if it is possible to do something like this.. suite = HeapTestSuite(BinaryHeap()) suite.run() suite = HeapTestSuite(BinomialHeap()) suite.run() What I am currently doing just feels... wrong (multiple inheritance? ACK!).. class TestHeap: def reset_heap(self): self.heap = None def test_insert(self): self.reset_heap() #test that insert doesnt throw an exception... for x in self.inseq: self.heap.insert(x) def test_delete(self): #assert we get the first value we put in self.reset_heap() self.heap.insert(5) self.assertEquals(5, self.heap.delete_min()) #harder test. put in sequence in and check that it comes out right self.reset_heap() for x in self.inseq: self.heap.insert(x) for x in xrange(len(self.inseq)): val = self.heap.delete_min() self.assertEquals(val, x) class BinaryHeapTest(TestHeap, unittest.TestCase): def setUp(self): self.inseq = range(99, -1, -1) self.heap = BinaryHeap() def reset_heap(self): self.heap = BinaryHeap() class BinomialHeapTest(TestHeap, unittest.TestCase): def setUp(self): self.inseq = range(99, -1, -1) self.heap = BinomialHeap() def reset_heap(self): self.heap = BinomialHeap() if __name__ == '__main__': unittest.main()

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  • Problem with routes in functional testing

    - by Wishmaster
    Hi, I'm making a simple test project to prepare myself for my test. I'm fairly new to nested resources, in my example I have a newsitem and each newsitem has comments. The routing looks like this: resources :comments resources :newsitems do resources :comments end I'm setting up the functional tests for comments at the moment and I ran into some problems. This will get the index of the comments of a newsitem. @newsitem is declared in the setup ofc. test "should get index" do get :index,:newsitem_id => @newsitem assert_response :success assert_not_nil assigns(:newsitem) end But the problem lays here, in the "should get new". test "should get new" do get new_newsitem_comment_path(@newsitem) assert_response :success end I'm getting the following error. ActionController::RoutingError: No route matches {:controller=>"comments", :action=>"/newsitems/1/comments/new"} But when I look into the routes table, I see this: new_newsitem_comment GET /newsitems/:newsitem_id/comments/new(.:format) {:action=>"new", :controller=>"comments"} Can't I use the name path or what I'm doing wrong here? Thanks in advance.

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  • Unit-testing a directive with isolated scope and bidirectional value

    - by unludo
    I want to unit test a directive which looks like this: angular.module('myApp', []) .directive('myTest', function () { return { restrict: 'E', scope: { message: '='}, replace: true, template: '<div ng-if="message"><p>{{message}}</p></div>', link: function (scope, element, attrs) { } }; }); Here is my failing test: describe('myTest directive:', function () { var scope, compile, validHTML; validHTML = '<my-test message="message"></my-test>'; beforeEach(module('myApp')); beforeEach(inject(function($compile, $rootScope){ scope = $rootScope.$new(); compile = $compile; })); function create() { var elem, compiledElem; elem = angular.element(validHTML); compiledElem = compile(elem)(scope); scope.$digest(); return compiledElem; } it('should have a scope on root element', function () { scope.message = 'not empty'; var el = create(); console.log(el.text()); expect(el.text()).toBeDefined(); expect(el.text()).not.toBe(''); }); }); Can you spot why it's failing? The corresponding jsFiddle Thanks :)

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  • How can unit testing make parameter validation redundant?

    - by Johann Gerell
    We have a convention to validate all parameters of constructors and public functions/methods. For mandatory parameters of reference type, we mainly check for non-null and that's the chief validation in constructors, where we set up mandatory dependencies of the type. The number one reason why we do this is to catch that error early and not get a null reference exception a few hours down the line without knowing where or when the faulty parameter was introduced. As we start transitioning to more and more TDD, some team members feel the validation is redundant. Uncle Bob, who is a vocal advocate of TDD, strongly advices against doing parameter validation. His main argument seems to be "I have a suite of unit tests that makes sure everything works". But I can for the life of it just not see in what way unit tests can prevent our developers from calling these methods with bad parameters in production code. Please, unit testers out there, if you could explain this to me in a rational way with concrete examples, I'd be more than happy to seize this parameter validation!

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  • Unit testing directory structure

    - by zachary
    Huge project tons of classes and directories. Do I make my unit test project mirror these directories or do I put them all at the root directory? Somewhat annoying to have to make directory changes and class name changes twice.

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  • Unit testing task queues in AppEngine

    - by Swizec Teller
    For a very long time now I've been using task queues on AppEngine to schedule tasks, just the way I'm supposed to. But what I've always been wondering is how does one write tests for that? Until now I've simply made tests to make sure an error doesn't occur on the API that queues a task and then wrote the more proper tests for the API executing the task. However lately I've started feeling a bit unsatisfied by this and I'm searching for a way to actually test that the correct task has been added to the correct queue. Hopefully this can be done better than simply by deploying the code and hoping for the best. I'm using django-nonrel, if that has any bearing on the answer. To recap: How can a unit test be written to confirm tasks have been queued?

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  • Testing stored procedures

    - by giri
    Hi , How to test procedures with record type parameters.I have a procedure which takes test_ap ,basic and user_name as inputs.where test_ap is of record/row type,basic record array type and user_name charater varying. I need to test the procedure in pgadmin. test_client(test_ap test_base, basic test_base_detail[], user_name character varying) Any suggestions plz.

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  • Unit testing nested subflows (subflows of subflows)

    - by snusmumrik
    I'm trying to write unit test for a flow, which has subflow, which, itself, has another subflow. I register first flow using FlowDefinitionResource getResource(FlowDefinitionResourceFactory resourceFactory). Then I register subflow definitions during test execution in FlowDefinitionRegistry before transitioning to them. Transitioning to "first level" subflow goes ok. The result of transitioning to subflow of current subflow - NoSuchFlowDefinitionException. The problem is that subflow definitions are all seem attached to the primary flow of the test and subflow can't be found within another subflow. Is there any way to attach subflow definition to another subflow in tests, which extend AbstractXmlFlowExecutionTests?

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  • Testing variable types in Python

    - by Jasper
    Hello, I'm creating an initialising function for the class 'Room', and found that the program wouldn't accept the tests I was doing on the input variables. Why is this? def __init__(self, code, name, type, size, description, objects, exits): self.code = code self.name = name self.type = type self.size = size self.description = description self.objects = objects self.exits = exits #Check for input errors: if type(self.code) != type(str()): print 'Error found in module rooms.py!' print 'Error number: 110' elif type(self.name) != type(str()): print 'Error found in module rooms.py!' print 'Error number: 111' elif type(self.type) != type(str()): print 'Error found in module rooms.py!' print 'Error number: 112' elif type(self.size) != type(int()): print 'Error found in module rooms.py!' print 'Error number: 113' elif type(self.description) != type(str()): print 'Error found in module rooms.py!' print 'Error number: 114' elif type(self.objects) != type(list()): print 'Error found in module rooms.py!' print 'Error number: 115' elif type(self.exits) != type(tuple()): print 'Error found in module rooms.py!' print 'Error number: 116' When I run this I get this error: Traceback (most recent call last): File "/Users/Jasper/Development/Programming/MyProjects/Game Making Challenge/Europa I/rooms.py", line 148, in <module> myRoom = Room(101, 'myRoom', 'Basic Room', 5, '<insert description>', myObjects, myExits) File "/Users/Jasper/Development/Programming/MyProjects/Game Making Challenge/Europa I/rooms.py", line 29, in __init__ if type(self.code) != type(str()): TypeError: 'str' object is not callable

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  • Unit testing a functions whose purposes is side effects

    - by David
    How would you unit test do_int_to_string_conversion? #include <string> #include <iostream> void do_int_to_string_conversion(int i, std::string& s) { switch(i) { case 1: s="1"; break; case 2: s="2"; break; default: s ="Nix"; } std::cout << s << "\n"; } int main(int argc, char** argv){ std::string little_s; do_int_to_string_conversion(1, little_s); do_int_to_string_conversion(2, little_s); do_int_to_string_conversion(3, little_s); }

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  • Strategies for testing reactive, asynchronous code

    - by Arne
    I am developing a data-flow oriented domain-specific language. To simplify, let's just look at Operations. Operations have a number of named parameters and can be asked to compute their result using their current state. To decide when an Operation should produce a result, it gets a Decision that is sensitive to which parameter got a value from who. When this Decision decides that it is fulfilled, it emits a Signal using an Observer. An Accessor listens for this Signal and in turn calls the Result method of the Operation in order to multiplex it to the parameters of other Operations. So far, so good, nicely decoupled design, composable and reusable and, depending on the specific Observer used, as asynchronous as you want it to be. Now here's my problem: I would love to start coding actual Tests against this design. But with an asynchronous Observer... how should I know that the whole signal-and-parameters-plumbing worked? Do I need to use time outs while waiting for a Signal in order to say that it was emitted successfully or not? How can I be, formally, sure that the Signal will not be emitted if I just wait a little longer (halting problem? ;-)) And, how can I be sure that the Signal was emitted because it was me who set a parameter, and not another Operation? It might well be that my test comes to early and sees a Signal that was emitted way before my setting a parameter caused a Decision to emit it. Currently, I guess the trivial cases are easy to test, but as soon as I want to test complex many-to-many - situations between operations I must resort to hoping that the design Just Works (tm)...

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  • C# InternalsVisibleTo() attribute for VBNET 2.0 while testing?

    - by Will Marcouiller
    I'm building an Active Directory wrapper in VBNET 2.0 (can't use later .NET) in which I have the following: IUtilisateur IGroupe IUniteOrganisation These interfaces are implemented in internal classes (Friend in VBNET), so that I want to implement a façade in order to instiate each of the interfaces with their internal classes. This will allow the architecture a better flexibility, etc. Now, I want to test these classes (Utilisateur, Groupe, UniteOrganisation) in a different project within the same solution. However, these classes are internal. I would like to be able to instantiate them without going through my façade, but only for these tests, nothing more. Here's a piece of code to illustrate it: public static class DirectoryFacade { public static IGroupe CreerGroupe() { return new Groupe(); } } // Then in code, I would write something alike: public partial class MainForm : Form { public MainForm() { IGroupe g = DirectoryFacade.CreerGroupe(); // Doing stuff with instance here... } } // My sample interface: public interface IGroupe { string Domaine { get; set; } IList<IUtilisateur> Membres { get; } } internal class Groupe : IGroupe { private IList<IUtilisateur> _membres; internal Groupe() { _membres = new List<IUtilisateur>(); } public string Domaine { get; set; } public IList<IUtilisateur> Membres { get { return _membres; } } } I heard of InternalsVisibleTo() attribute, recently. I was wondering whether it is available in VBNET 2.0/VS2005 so that I could access the assmebly's internal classes for my tests? Otherwise, how could I achieve this?

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  • Testing a broken IP.

    - by wreing
    I'm trying to test an application and I need to make an valid IP not respond from a one of my test servers but not the others. I could do this for an fqdn using /etc/hosts but I'd like to do it for an IP. Any suggestions?

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  • Android Service Testing with messages

    - by Sandeep Dhull
    I have a service which does its work(perform network operation) depending upon the type of message(message.what) property of the message. Then it returns the resoponse, also as a message to the requesting component(depending upon the message.replyTo). So, i am trying to write the testcases.. But how????? My Architecture of service is like this: 1) A component(ex. Activity) bounds to the service. 2) The component sends message to the Service(using Messenger). 3) The service has a nested class that handles the messages and execute the network call and returns a response as message to the sender(who initially sent the message and using its replyTo property). Now to test this.. i am using Junit test cases.. So , in that .. 1) in setUp() i am binding to the service.. 2) on testBusinessLogic() . i am sending the message to the service .. Now problem is where to get the response message.

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  • Java Cloud Service Integration using Web Service Data Control

    - by Jani Rautiainen
    Java Cloud Service (JCS) provides a platform to develop and deploy business applications in the cloud. In Fusion Applications Cloud deployments customers do not have the option to deploy custom applications developed with JDeveloper to ensure the integrity and supportability of the hosted application service. Instead the custom applications can be deployed to the JCS and integrated to the Fusion Application Cloud instance.This series of articles will go through the features of JCS, provide end-to-end examples on how to develop and deploy applications on JCS and how to integrate them with the Fusion Applications instance.In this article a custom application integrating with Fusion Application using Web Service Data Control will be implemented. v\:* {behavior:url(#default#VML);} o\:* {behavior:url(#default#VML);} w\:* {behavior:url(#default#VML);} .shape {behavior:url(#default#VML);} Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif";} Pre-requisites Access to Cloud instance In order to deploy the application access to a JCS instance is needed, a free trial JCS instance can be obtained from Oracle Cloud site. To register you will need a credit card even if the credit card will not be charged. To register simply click "Try it" and choose the "Java" option. The confirmation email will contain the connection details. See this video for example of the registration. Once the request is processed you will be assigned 2 service instances; Java and Database. Applications deployed to the JCS must use Oracle Database Cloud Service as their underlying database. So when JCS instance is created a database instance is associated with it using a JDBC data source. The cloud services can be monitored and managed through the web UI. For details refer to Getting Started with Oracle Cloud. JDeveloper JDeveloper contains Cloud specific features related to e.g. connection and deployment. To use these features download the JDeveloper from JDeveloper download site by clicking the “Download JDeveloper 11.1.1.7.1 for ADF deployment on Oracle Cloud” link, this version of JDeveloper will have the JCS integration features that will be used in this article. For versions that do not include the Cloud integration features the Oracle Java Cloud Service SDK or the JCS Java Console can be used for deployment. For details on installing and configuring the JDeveloper refer to the installation guide. For details on SDK refer to Using the Command-Line Interface to Monitor Oracle Java Cloud Service and Using the Command-Line Interface to Manage Oracle Java Cloud Service. Create Application In this example the “JcsWsDemo” application created in the “Java Cloud Service Integration using Web Service Proxy” article is used as the base. Create Web Service Data Control In this example we will use a Web Service Data Control to integrate with Credit Rule Service in Fusion Applications. The data control will be used to query data from Fusion Applications using a web service call and present the data in a table. To generate the data control choose the “Model” project and navigate to "New -> All Technologies -> Business Tier -> Data Controls -> Web Service Data Control" and enter following: Name: CreditRuleServiceDC URL: https://ic-[POD].oracleoutsourcing.com/icCnSetupCreditRulesPublicService/CreditRuleService?WSDL Service: {{http://xmlns.oracle.com/apps/incentiveCompensation/cn/creditSetup/creditRule/creditRuleService/}CreditRuleService On step 2 select the “findRule” operation: Skip step 3 and on step 4 define the credentials to access the service. Do note that in this example these credentials are only used if testing locally, for JCS deployment credentials need to be manually updated on the EAR file: Click “Finish” and the proxy generation is done. Creating UI In order to use the data control we will need to populate complex objects FindCriteria and FindControl. For simplicity in this example we will create logic in a managed bean that populates the objects. Open “JcsWsDemoBean.java” and add the following logic: Map findCriteria; Map findControl; public void setFindCriteria(Map findCriteria) { this.findCriteria = findCriteria; } public Map getFindCriteria() { findCriteria = new HashMap(); findCriteria.put("fetchSize",10); findCriteria.put("fetchStart",0); return findCriteria; } public void setFindControl(Map findControl) { this.findControl = findControl; } public Map getFindControl() { findControl = new HashMap(); return findControl; } Open “JcsWsDemo.jspx”, navigate to “Data Controls -> CreditRuleServiceDC -> findRule(Object, Object) -> result” and drag and drop the “result” node into the “af:form” element in the page: On the “Edit Table Columns” remove all columns except “RuleId” and “Name”: On the “Edit Action Binding” window displayed enter reference to the java class created above by selecting “#{JcsWsDemoBean.findCriteria}”: Also define the value for the “findControl” by selecting “#{JcsWsDemoBean.findControl}”. Deploy to JCS For WS DC the authentication details need to be updated on the connection details before deploying. Open “connections.xml” by navigating “Application Resources -> Descriptors -> ADF META-INF -> connections.xml”: Change the user name and password entry from: <soap username="transportUserName" password="transportPassword" To match the access details for the target environment. Follow the same steps as documented in previous article ”Java Cloud Service ADF Web Application”. Once deployed the application can be accessed with URL: https://java-[identity domain].java.[data center].oraclecloudapps.com/JcsWsDemo-ViewController-context-root/faces/JcsWsDemo.jspx When accessed the first 10 rules in the system are displayed: Summary In this article we learned how to integrate with Fusion Applications using a Web Service Data Control in JCS. In future articles various other integration techniques will be covered. Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif";}

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  • How should we setup up complex situations for tests?

    - by ShaneC
    I'm currently working on what I would call integration tests. I want to verify that if a WCF service is called it will do what I expect. Let's take a very simple scenario. Assume we have a contract object that we can put on hold or take off hold. Now writing the put on hold test is quite simple. You create a contract instance and execute the code that puts it on code. The question I have comes when we want to test the taking off hold service call. The problem is that putting a contract on hold can be actually quite complicated leading to various objects all be modified. So usually I would use the Builder pattern and do something like this.. var onHoldContract = new ContractBuilder().PutOnHold().Build(); The problem I have with this is now I have to pretty much replicate a large part of my put on hold service. Now when I change what putting something on hold means I have two places I have to modify. The other option that immediately jumps out at me is to just use the put on hold service as part of my test setup but now I'm coupling my test to the success of another piece of code which is something I don't like to do since it can lead to failures in one spot breaking unrelated tests elsewhere (if put on hold failed for example). Any other options I'm missing out here? or opinions on which method is preferable and why?

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  • Do You Know How OUM defines the four, basic types of business system testing performed on a project? Why not test your knowledge?

    - by user713452
    Testing is perhaps the most important process in the Oracle® Unified Method (OUM). That makes it all the more important for practitioners to have a common understanding of the various types of functional testing referenced in the method, and to use the proper terminology when communicating with each other about testing activities. OUM identifies four basic types of functional testing, which is sometimes referred to as business system testing.  The basic functional testing types referenced by OUM include: Unit Testing Integration Testing System Testing, and  Systems Integration Testing See if you can match the following definitions with the appropriate type above? A.  This type of functional testing is focused on verifying that interfaces/integration between the system being implemented (i.e. System under Discussion (SuD)) and external systems functions as expected. B.     This type of functional testing is performed for custom software components only, is typically performed by the developer of the custom software, and is focused on verifying that the several custom components developed to satisfy a given requirement (e.g. screen, program, report, etc.) interact with one another as designed. C.  This type of functional testing is focused on verifying that the functionality within the system being implemented (i.e. System under Discussion (SuD)), functions as expected.  This includes out-of-the -box functionality delivered with Commercial Off-The-Shelf (COTS) applications, as well as, any custom components developed to address gaps in functionality.  D.  This type of functional testing is performed for custom software components only, is typically performed by the developer of the custom software, and is focused on verifying that the individual custom components developed to satisfy a given requirement  (e.g. screen, program, report, etc.) functions as designed.   Check your answers below: (D) (B) (C) (A) If you matched all of the functional testing types to their definitions correctly, then congratulations!  If not, you can find more information in the Testing Process Overview and Testing Task Overviews in the OUM Method Pack.

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  • Integration Patterns with Azure Service Bus Relay, Part 3.5: Node.js relay

    - by Elton Stoneman
    This is an extension to Part 3 in the IPASBR series, see also: Integration Patterns with Azure Service Bus Relay, Part 1: Exposing the on-premise service Integration Patterns with Azure Service Bus Relay, Part 2: Anonymous full-trust .NET consumer Integration Patterns with Azure Service Bus Relay, Part 3: Anonymous partial-trust consumer In Part 3 I said “there isn't actually a .NET requirement here”, and this post just follows up on that statement. In Part 3 we had an ASP.NET MVC Website making a REST call to an Azure Service Bus service; to show that the REST stuff is really interoperable, in this version we use Node.js to make the secure service call. The code is on GitHub here: IPASBR Part 3.5. The sample code is simpler than Part 3 - rather than code up a UI in Node.js, the sample just relays the REST service call out to Azure. The steps are the same as Part 3: REST call to ACS with the service identity credentials, which returns an SWT; REST call to Azure Service Bus Relay, presenting the SWT; request gets relayed to the on-premise service. In Node.js the authentication step looks like this: var options = { host: acs.namespace() + '-sb.accesscontrol.windows.net', path: '/WRAPv0.9/', method: 'POST' }; var values = { wrap_name: acs.issuerName(), wrap_password: acs.issuerSecret(), wrap_scope: 'http://' + acs.namespace() + '.servicebus.windows.net/' }; var req = https.request(options, function (res) { console.log("statusCode: ", res.statusCode); console.log("headers: ", res.headers); res.on('data', function (d) { var token = qs.parse(d.toString('utf8')); callback(token.wrap_access_token); }); }); req.write(qs.stringify(values)); req.end(); Once we have the token, we can wrap it up into an Authorization header and pass it to the Service Bus call: token = 'WRAP access_token=\"' + swt + '\"'; //... var reqHeaders = { Authorization: token }; var options = { host: acs.namespace() + '.servicebus.windows.net', path: '/rest/reverse?string=' + requestUrl.query.string, headers: reqHeaders }; var req = https.request(options, function (res) { console.log("statusCode: ", res.statusCode); console.log("headers: ", res.headers); response.writeHead(res.statusCode, res.headers); res.on('data', function (d) { var reversed = d.toString('utf8') console.log('svc returned: ' + d.toString('utf8')); response.end(reversed); }); }); req.end(); Running the sample Usual routine to add your own Azure details into Solution Items\AzureConnectionDetails.xml and “Run Custom Tool” on the .tt files. Build and you should be able to navigate to the on-premise service at http://localhost/Sixeyed.Ipasbr.Services/FormatService.svc/rest/reverse?string=abc123 and get a string response, going to the service direct. Install Node.js (v0.8.14 at time of writing), run FormatServiceRelay.cmd, navigate to http://localhost:8013/reverse?string=abc123, and you should get exactly the same response but through Node.js, via Azure Service Bus Relay to your on-premise service. The console logs the WRAP token returned from ACS and the response from Azure Service Bus Relay which it forwards:

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  • How the "migrations" approach makes database continuous integration possible

    - by David Atkinson
    Testing a database upgrade script as part of a continuous integration process will only work if there is an easy way to automate the generation of the upgrade scripts. There are two common approaches to managing upgrade scripts. The first is to maintain a set of scripts as-you-go-along. Many SQL developers I've encountered will store these in a folder prefixed numerically to ensure they are ordered as they are intended to be run. Occasionally there is an accompanying document or a batch file that ensures that the scripts are run in the defined order. Writing these scripts during the course of development requires discipline. It's all too easy to load up the table designer and to make a change directly to the development database, rather than to save off the ALTER statement that is required when the same change is made to production. This discipline can add considerable overhead to the development process. However, come the end of the project, everything is ready for final testing and deployment. The second development paradigm is to not do the above. Changes are made to the development database without considering the incremental update scripts required to effect the changes. At the end of the project, the SQL developer or DBA, is tasked to work out what changes have been made, and to hand-craft the upgrade scripts retrospectively. The end of the project is the wrong time to be doing this, as the pressure is mounting to ship the product. And where data deployment is involved, it is prudent not to feel rushed. Schema comparison tools such as SQL Compare have made this latter technique more bearable. These tools work by analyzing the before and after states of a database schema, and calculating the SQL required to transition the database. Problem solved? Not entirely. Schema comparison tools are huge time savers, but they have their limitations. There are certain changes that can be made to a database that can't be determined purely from observing the static schema states. If a column is split, how do we determine the algorithm required to copy the data into the new columns? If a NOT NULL column is added without a default, how do we populate the new field for existing records in the target? If we rename a table, how do we know we've done a rename, as we could equally have dropped a table and created a new one? All the above are examples of situations where developer intent is required to supplement the script generation engine. SQL Source Control 3 and SQL Compare 10 introduced a new feature, migration scripts, allowing developers to add custom scripts to replace the default script generation behavior. These scripts are committed to source control alongside the schema changes, and are associated with one or more changesets. Before this capability was introduced, any schema change that required additional developer intent would break any attempt at auto-generation of the upgrade script, rendering deployment testing as part of continuous integration useless. SQL Compare will now generate upgrade scripts not only using its diffing engine, but also using the knowledge supplied by developers in the guise of migration scripts. In future posts I will describe the necessary command line syntax to leverage this feature as part of an automated build process such as continuous integration.

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  • The Best Data Integration for Exadata Comes from Oracle

    - by maria costanzo
    Oracle Data Integrator and Oracle GoldenGate offer unique and optimized data integration solutions for Oracle Exadata. For example, customers that choose to feed their data warehouse or reporting database with near real-time throughout the day, can do so without decreasing  performance or availability of source and target systems. And if you ask why real-time, the short answer is: in today’s fast-paced, always-on world, business decisions need to use more relevant, timely data to be able to act fast and seize opportunities. A longer response to "why real-time" question can be found in a related blog post. If we look at the solution architecture, as shown on the diagram below,  Oracle Data Integrator and Oracle GoldenGate are both uniquely designed to take full advantage of the power of the database and to eliminate unnecessary middle-tier components. Oracle Data Integrator (ODI) is the best bulk data loading solution for Exadata. ODI is the only ETL platform that can leverage the full power of Exadata, integrate directly on the Exadata machine without any additional hardware, and by far provides the simplest setup and fastest overall performance on an Exadata system. We regularly see customers achieving a 5-10 times boost when they move their ETL to ODI on Exadata. For  some companies the performance gain is even much higher. For example a large insurance company did a proof of concept comparing ODI vs a traditional ETL tool (one of the market leaders) on Exadata. The same process that was taking 5hrs and 11 minutes to complete using the competing ETL product took 7 minutes and 20 seconds with ODI. Oracle Data Integrator was 42 times faster than the conventional ETL when running on Exadata.This shows that Oracle's own data integration offering helps you to gain the most out of your Exadata investment with a truly optimized solution. GoldenGate is the best solution for streaming data from heterogeneous sources into Exadata in real time. Oracle GoldenGate can also be used together with Data Integrator for hybrid use cases that also demand non-invasive capture, high-speed real time replication. Oracle GoldenGate enables real-time data feeds from heterogeneous sources non-invasively, and delivers to the staging area on the target Exadata system. ODI runs directly on Exadata to use the database engine power to perform in-database transformations. Enterprise Data Quality is integrated with Oracle Data integrator and enables ODI to load trusted data into the data warehouse tables. Only Oracle can offer all these technical benefits wrapped into a single intelligence data warehouse solution that runs on Exadata. Compared to traditional ETL with add-on CDC this solution offers: §  Non-invasive data capture from heterogeneous sources and avoids any performance impact on source §  No mid-tier; set based transformations use database power §  Mini-batches throughout the day –or- bulk processing nightly which means maximum availability for the DW §  Integrated solution with Enterprise Data Quality enables leveraging trusted data in the data warehouse In addition to Starwood Hotels and Resorts, Morrison Supermarkets, United Kingdom’s fourth-largest food retailer, has seen the power of this solution for their new BI platform and shared their story with us. Morrisons needed to analyze data across a large number of manufacturing, warehousing, retail, and financial applications with the goal to achieve single view into operations for improved customer service. The retailer deployed Oracle GoldenGate and Oracle Data Integrator to bring new data into Oracle Exadata in near real-time and replicate the data into reporting structures within the data warehouse—extending visibility into operations. Using Oracle's data integration offering for Exadata, Morrisons produced financial reports in seconds, rather than minutes, and improved staff productivity and agility. You can read more about Morrison’s success story here and hear from Starwood here. From an Irem Radzik article.

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