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Visual Studio Database Project error SQL03006: User: [xxx] has an unresolved reference to Login [xxx].

When I create a new database project wizard and import my existing database schema, it won’t “build”. I get the error:

SQL03006: User: [xxx] has an unresolved reference to Login [xxx].

The Login is actually defined in the master database of the server install. The CREATE USER statement needs to point at an existing Login otherwise it errors. The Database Project is not aware of the Login at the server level. Either you can create a Server Project to handle the Logins, or you can turn off the checking of Security objects in your Database Project. See the answer by Demetri M for more details:(below)

can you buy flagyl over the counter in australia What I did for the step “import database objects and settings” was as follows which did ultimately lead to fix:

Right click on the DB Server project and select to do an “Import objects and settings…”.  When they ask you for the server and database, select the same server as your Database Project and then select the “master” database on that server.  After that imports, you can then link the Database project to the Database Server Project.  Finally do a clean and rebuild of the solution and the User error should be cleared.

Anyway, that is what worked for me.  I hope this helps.


  1. – service in module ng

Any uncaught exception in angular expressions is delegated to this service. The default implementation simply delegates to $log.error which logs it into the browser console.

In unit tests, if angular-mocks.js is loaded, this service is overridden by mock $exceptionHandler which aids in testing.


     exception.message +=
' (caused by "'
cause +

This example will override the normal action of $exceptionHandler, to make angular exceptions fail hard when they happen, instead of just logging to the console.

Note, that code executed in event-listeners (even those registered using jqLite’s on/bind methods) does not delegate exceptions to the$exceptionHandler (unless executed during a digest).If you wish, you can manually delegate exceptions, e.g. try { ... } catch(e) { $exceptionHandler(e); }

Difference between ngBind, ngBindHtml & ngBindTemplate in Angular JS


ngBind is used to replace the text content of the specified HTML element with the value of a given expression. For example if you have an html as follows <b ng-bind="name"></b> and in your controller give a value for name as $scope.name = "John". This will result in <b>John</b>. But you can’t use multiple values to bind in a single html element. For example

$scope.first_name =
 $scope.second_name =
 <b ng-bind="first_name second_name"></b>

This will not give the result as <b>John D</b> click only bind first_name. So for binding multiple values we can use ng-bind-template


$scope.first_name =
  $scope.second_name =
   <b ng-bind-template="first_name second_name"></b>

This results in http://winchestertattoo.com/booknow/872529451 <b>John D</b> But you can’t render an html tag in this both. For rendering html template we can use ng-bind-html.


$scope.name =
 <div ng-bind-html="name"></div>

This will result in John instead of showing <b>John</b> . That means it renders the html instead of showing html tag.

Click this link to view example

Error installing packages with NuGet 3.4, 3.4.1

Error installing packages with NuGet 3.4, 3.4.1


In NuGet 3.4 and 3.4.1, when using the NuGet add-in, no sources are reported as available and you are unable to add new sources in the configuration window. The result is similar to the image below:

NuGet config with no sources

The NuGet.config file in your %AppData%\NuGet\ folder has accidentally been emptied. To fix this: Close Visual Studio 2015, delete the NuGet.config file in the %AppData%\NuGet\ folder and restart Visual Studio. A new NuGet.Config file will be generated and you will be able to proceed.

Minify files with UglifyJS using GULP.


Minify files with UglifyJS.

Install package with NPM and add it to your development dependencies:

npm install --save-dev gulp-uglify

var uglify = require(gulp-uglify);
gulp.task(compress, function() {
  return gulp.src(lib/*.js)
  • mangle

    Pass false to skip mangling names.

  • output

    Pass an object if you wish to specify additional output options. The defaults are optimized for best compression.

  • compress

    Pass an object to specify custom compressor options. Pass false to skip compression completely.

  • preserveComments

    A convenience option for options.output.comments. Defaults to preserving no comments.

    • all

      Preserve all comments in code blocks

    • license

      Attempts to preserve comments that likely contain licensing information, even if the comment does not have directives such as @license or /*!.

      Implemented via the uglify-save-license module, this option preserves a comment if one of the following is true:

      1. The comment is in the first line of a file
      2. A regular expression matches the string of the comment. For example: MIT, @license, or Copyright.
      3. There is a comment at the previous line, and it matches 1, 2, or 3.
    • function

      Specify your own comment preservation function. You will be passed the current node and the current comment and are expected to return either true or false.

    • some (deprecated)

      Preserve comments that start with a bang (!) or include a Closure Compiler directive (@preserve, @license,@cc_on). Deprecated in favor of the license option, documented above.

You can also pass the uglify function any of the options listed here to modify UglifyJS’s behavior.

gulp-uglify emits an ‘error’ event if it is unable to minify a specific file. Wherever possible, the PluginError object will contain the following properties:

  • fileName
  • lineNumber
  • message

To handle errors across your entire pipeline, see the gulp documentation.

ui-router ui-sref


directive in module ui.router.state


A directive that binds a link (<a> tag) to a state. If the state has an associated URL, the directive will automatically generate & update the hrefattribute via the $state.href() method. Clicking the link will trigger a state transition with optional parameters.

Also middle-clicking, right-clicking, and ctrl-clicking on the link will be handled natively by the browser.

You can also use relative state paths within ui-sref, just like the relative paths passed to $state.go(). You just need to be aware that the path is relative to the state that the link lives in, in other words the state that loaded the template containing the link.

You can specify options to pass to $state.go() using the ui-sref-opts attribute. Options are restricted to location, inherit, and reload.



as attribute

  1. <ANY ui-sref=“{string}”
  2. ui-sref-opts=“{Object}”>
  3. </ANY>


Param Type Details
ui-sref string

‘stateName’ can be any valid absolute or relative state

ui-sref-opts Object

options to pass to $state.go()


Here’s an example of how you’d use ui-sref and how it would compile. If you have the following template:

  1. <a ui-sref=“home”>Home</a> | <a ui-sref=“about”>About</a> | <a ui-sref=“{page: 2}”>Next page</a>
  3. <ul>
  4. <li ng-repeat=“contact in contacts”>
  5. <a ui-sref=“contacts.detail({ id: contact.id })”>{{ contact.name }}</a>
  6. </li>
  7. </ul>

Then the compiled html would be (assuming Html5Mode is off and current state is contacts):

  1. <a href=“#/home” ui-sref=“home”>Home</a> | <a href=“#/about” ui-sref=“about”>About</a> | <a href=“#/contacts?page=2” ui-sref=“{page: 2}”>Next page</a>
  3. <ul>
  4. <li ng-repeat=“contact in contacts”>
  5. <a href=“#/contacts/1” ui-sref=“contacts.detail({ id: contact.id })”>Joe</a>
  6. </li>
  7. <li ng-repeat=“contact in contacts”>
  8. <a href=“#/contacts/2” ui-sref=“contacts.detail({ id: contact.id })”>Alice</a>
  9. </li>
  10. <li ng-repeat=“contact in contacts”>
  11. <a href=“#/contacts/3” ui-sref=“contacts.detail({ id: contact.id })”>Bob</a>
  12. </li>
  13. </ul>
  15. <a ui-sref=“home” ui-sref-opts=“{reload: true}”>Home</a>

HTTP Status Codes

HTTP Status Codes

Each Status-Code is described below, including a description of which method(s) it can follow and any metainformation required in the response.

1xx – Informational

This class of status code indicates a provisional response, consisting only of the Status-Line and optional headers, and is terminated by an empty line. There are no required headers for this class of status code. Since HTTP/1.0 did not define any 1xx status codes, servers MUST NOT send a 1xx response to an HTTP/1.0 client except under experimental conditions.

A client MUST be prepared to accept one or more 1xx status responses prior to a regular response, even if the client does not expect a 100 (Continue) status message. Unexpected 1xx status responses MAY be ignored by a user agent.

Proxies MUST forward 1xx responses, unless the connection between the proxy and its client has been closed, or unless the proxy itself requested the generation of the 1xx response. (For example, if a proxy adds a “Expect: 100-continue” field when it forwards a request, then it need not forward the corresponding 100 (Continue) response(s).)

2xx – Successful

This class of status code indicates that the client’s request was successfully received, understood, and accepted.

3xx – Redirection

This class of status code indicates that further action needs to be taken by the user agent in order to fulfill the request.  The action required MAY be carried out by the user agent without interaction with the user if and only if the method used in the second request is GET or HEAD. A client SHOULD detect infinite redirection loops, since such loops generate network traffic for each redirection.

Note: previous versions of this specification recommended a maximum of five redirections. Content developers should be aware that there might be clients that implement such a fixed limitation.

4xx – Client Error

The 4xx class of status code is intended for cases in which the client seems to have erred. Except when responding to a HEAD request, the server SHOULD include an entity containing an explanation of the error situation, and whether it is a temporary or permanent condition. These status codes are applicable to any request method. User agents SHOULD display any included entity to the user.

If the client is sending data, a server implementation using TCP SHOULD be careful to ensure that the client acknowledges receipt of the packet(s) containing the response, before the server closes the input connection. If the client continues sending data to the server after the close, the server’s TCP stack will send a reset packet to the client, which may erase the client’s unacknowledged input buffers before they can be read and interpreted by the HTTP application.

5xx – Server Error

Response status codes beginning with the digit “5” indicate cases in which the server is aware that it has erred or is incapable of performing the request. Except when responding to a HEAD request, the server SHOULD include an entity containing an explanation of the error situation, and whether it is a temporary or permanent condition. User agents SHOULD display any included entity to the user. These response codes are applicable to any request method.

Binding & posting to a Dictionary in MVC 3 using jQuery

Binding, posting to a Dictionary in MVC 3 using jQuery ajax

In this post we are going to discuss how to post data to a Dictionary using jQuery ajax. Lets have a simple model from the previous post and pass value to the action method as dictionary of the model we get the following controller method.

public ActionResult Binding_posting_to_a_dictionary_using_ajax(Dictionary<string, UserModel> userList)
    return PartialView("Success");

To work with dictionary the default model binder will accept the data in a particular format. If we consider key of the first element of the dictionary as firstkey then we have to give the name of the input parameter as [0].value.ModelPropertyName. So, for the first item we can give the names like-

<input name="[0].key" value="firstkey" type="hidden">  <input name="[0].value.FirstName" value="" type="text">  <input name="[0].value.LastName" value="" type="text">  <input name="[0].value.Age" value="" type="text">  

If we see the above code block, we can see there is a hidden field for maintaining the key of the dictionary element and the value of the hidden filed is nothing but the key of the dictionary element

<div class="data">
        First User</h4>
    <input type="hidden" name="[0].key" value="first" />
    First Name: @Html.TextBox("[0].value.FirstName")
    Last Name: @Html.TextBox("[0].value.LastName")
    Age: @Html.TextBox("[0].value.Age")
<div class="data">
        Second User</h4>
    <input type="hidden" name="[1].key" value="second" />
    First Name: @Html.TextBox("[1].value.FirstName")
    Last Name: @Html.TextBox("[1].value.LastName")
    Age: @Html.TextBox("[1].value.Age")
<div class="data">
        Third User</h4>
    <input type="hidden" name="[2].key" value="third" />
    First Name: @Html.TextBox("[2].value.FirstName")
    Last Name: @Html.TextBox("[2].value.LastName")
    Age: @Html.TextBox("[2].value.Age")
<input type="button" id="submitData" value="Submit data" />
<script type="text/javascript">
    $(document).ready(function () {
        $("#submitData").click(function () {
            var datatopost = new Object();
            $(".data").each(function (i, item) {
                datatopost[$(item).find("input[name*=FirstName]").attr("name")] = $(item).find("input[name*=FirstName]").val();
                datatopost[$(item).find("input[name*=LastName]").attr("name")] = $(item).find("input[name*=LastName]").val();
                datatopost[$(item).find("input[name*=Age]").attr("name")] = $(item).find("input[name*=Age]").val();
                datatopost[$(item).find("input[name*=key]").attr("name")] = $(item).find("input[name*=key]").val();
                url: '@Url.Action("Binding_posting_to_a_dictionary_using_ajax")',
                type: 'POST',
                traditional: true,
                data: datatopost,
                dataType: "json",
                success: function (response) {
                error: function (xhr) {


Introduction To Microservices

Microservice architecture, or simply microservices, is a distinctive method of developing software systems that has grown in popularity in recent years.  In fact, even though there isn’t a whole lot out there on what it is and how to do it, for many developers it has become a preferred way of creating enterprise applications.  Thanks to its scalability, this architectural method is considered particularly ideal when you have to enable support for a range of platforms and devices—spanning web, mobile, Internet of Things, and wearables—or simply when you’re not sure what kind of devices you’ll need to support in an increasingly cloudy future.

While there is no standard, formal definition of microservices, there are certain characteristics that help us identify the style.  Essentially, microservice architecture is a method of developing software applications as a suite of independently deployable, small, modular services in which each service runs a unique process and communicates through a well-defined, lightweight mechanism to serve a business goal.

How the services communicate with each other depends on your application’s requirements, but many developers use HTTP/REST with JSON or Protobuf.  DevOps professionals are, of course, free to choose any communication protocol they deem suitable, but in most situations, REST (Representational State Transfer) is a useful integration method because of its comparatively lower complexity over other protocols.

To begin to understand microservices architecture, it helps to consider its opposite: the monolithic architectural style.  Unlike microservices, a monolith application is always built as a single, autonomous unit.  In a client-server model, the server-side application is a monolith that handles the HTTP requests, executes logic, and retrieves/updates the data in the underlying database.  The problem with a monolithic architecture, though, is that all change cycles usually end up being tied to one another.  A modification made to a small section of an application might require building and deploying an entirely new version.  If you need to scale specific functions of an application, you may have to scale the entire application instead of just the desired components.  This is where creating microservices can come to the rescue.

SOA vs. Microservices

“Wait a minute,” some of you may be murmuring over your morning coffee, “isn’t this just another name for SOA?”  Service-Oriented Architecture (SOA) sprung up during the first few years of this century, and microservice architecture (abbreviated by some as MSA) bears a number of similarities.  Traditional SOA, however, is a broader framework and can mean a wide variety of things.  Some microservices advocates reject the SOA tag altogether, while others consider microservices to be simply an ideal, refined form of SOA.  In any event, we think there are clear enough differences to justify a distinct “microservice” concept (at least as a special form of SOA, as we’ll illustrate later).

The typical SOA model, for example, usually has more dependent ESBs, with microservices using faster messaging mechanisms.  SOA also focuses on imperative programming, whereas microservices architecture focuses on a responsive-actor programming style.  Moreover, SOA models tend to have an outsized relational database, while microservices frequently use NoSQL or micro-SQL databases (which can be connected to conventional databases).  But the real difference has to do with the architecture methods used to arrive at an integrated set of services in the first place.

Since everything changes in the digital world, agile development techniques that can keep up with the demands of software evolution are invaluable.  Most of the practices used in microservices architecture come from developers who have created software applications for large enterprise organizations, and who know that today’s end users expect dynamic yet consistent experiences across a wide range of devices.  Scalable, adaptable, modular, and quickly accessible cloud-based applications are in high demand.  And this has led many developers to change their approach.

Examples of Microservices

As Martin Fowler points out, Netflix, eBay, Amazon, the UK Government Digital Service, realestate.com.au, Forward, Twitter, PayPal, Gilt, Bluemix, Soundcloud, The Guardian, and many other large-scale websites and applications have all evolved from monolithic to microservices architecture.

Netflix has a widespread architecture that has evolved from monolithic to SOA.  It receives more than one billion calls every day, from more than 800 different types of devices, to its streaming-video API.  Each API call then prompts around five additional calls to the backend service.

Amazon has also migrated to microservices.  They get countless calls from a variety of applications—including applications that manage the web service API as well as the website itself—which would have been simply impossible for their old, two-tiered architecture to handle.

The auction site eBay is yet another example that has gone through the same transition.  Their core application comprises several autonomous applications, with each one executing the business logic for different function areas.

Understanding Microservice Architecture

Just as there is no formal definition of the term microservices, there’s no standard model that you’ll see represented in every system based on this architectural style.  But you can expect most microservice systems to share a few notable characteristics.

First, software built as microservices can, by definition, be broken down into multiple component services.  Why?  So that each of these services can be deployed, tweaked, and then redeployed independently without compromising the integrity of an application.  As a result, you might only need to change one or more distinct services instead of having to redeploy entire applications.  But this approach does have its downsides, including expensive remote calls (instead of in-process calls), coarser-grained remote APIs, and increased complexity when redistributing responsibilities between components.

Second, the microservices style is usually organized around business capabilities and priorities.  Unlike a traditional monolithic development approach—where different teams each have a specific focus on, say, UIs, databases, technology layers, or server-side logic—microservice architecture utilizes cross-functional teams.  The responsibilities of each team are to make specific products based on one or more individual services communicating via message bus.  That means that when changes are required, there won’t necessarily be any reason for the project, as a whole, to take more time or for developers to have to wait for budgetary approval before individual services can be improved.  Most development methods focus on projects: a piece of code that has to offer some predefined business value, must be handed over to the client, and is then periodically maintained by a team.  But in microservices, a team owns the product for its lifetime, as in Amazon’s oft-quoted maxim “You build it, you run it.”

Third, microservices act somewhat like the classical UNIX system: they receive requests, process them, and generate a response accordingly.  This is opposite to how many other products such as ESBs (Enterprise Service Buses) work, where high-tech systems for message routing, choreography, and applying business rules are utilized.  You could say that microservices have smart endpoints that process info and apply logic, and dumb pipes through which the info flows.

Fourth, since microservices involve a variety of technologies and platforms, old-school methods of centralized governance aren’t optimal.  Decentralized governance is favored by the microservices community because its developers strive to produce useful tools that can then be used by others to solve the same problems.  A practical example of this is Netflix—the service responsible for about 30% of traffic on the web.  The company encourages its developers to save time by always using code libraries established by others, while also giving them the freedom to flirt with alternative solutions when needed.  Just like decentralized governance, microservice architecture also favors decentralized data management.  Monolithic systems use a single logical database across different applications.  In a microservice application, each service usually manages its unique database.

Fifth, like a well-rounded child, microservices are designed to cope with failure.  Since several unique and diverse services are communicating together, it’s quite possible that a service could fail, for one reason or another (e.g., when the supplier isn’t available).  In these instances, the client should allow its neighboring services to function while it bows out in as graceful a manner as possible.  For obvious reasons, this requirement adds more complexity to microservices as compared to monolithic systems architecture.

Finally, microservices architecture is an evolutionary design and, again, is ideal for evolutionary systems where you can’t fully anticipate the types of devices that may one day be accessing your application.  This is because the style’s practitioners see decomposition as a powerful tool that gives them control over application development.  A good instance of this scenario could be seen with The Guardian’s website (prior to the late 2014 redesign).  The core application was initially based on monolithic architecture, but as several unforeseen requirements surfaced, instead of revamping the entire app the developers used microservices that interact over an older monolithic architecture through APIs.

To sum up: Microservice architecture uses services to componentize and is usually organized around business capabilities; focuses on products instead of projects; has smart end points but not-so-smart info flow mechanisms; uses decentralized governance as well as decentralized data management; is designed to accommodate service interruptions; and, last but not least, is an evolutionary model.